[{"has_accepted_license":"1","OA_type":"green","abstract":[{"text":"Malignant glioma is incurable. Using a mouse genetic mosaic system to generate sporadic Trp53,Nf1-null OPCs, we previously identified oligodendrocyte precursor cell (OPC) as a cell-of-origin of glioma. Here, we report that pre-malignant Trp53,Nf1-null OPCs outcompete wildtype counterparts during their expansion. Blocking competition by mutating/strengthening wildtype OPCs impeded both pre-malignant progression and malignant expansion of glioma.\r\n\r\n“In-tissue” phosphoproteomic profiling revealed an enrichment of phosphopeptides related to RNA splicing and protein translation at the peak of cell competition, suggesting that competitiveness may stem from unique protein species. Among candidates was mTORC1, whose pharmacological inhibition or genetic disruption resulted in a loss of competitiveness in our mouse model. Finally, analysis of patient biopsies and interrogating the role of individual gliomagenic mutations in OPC competition supported its relevance in human gliomas. Together, these findings identified the driving role of competitive interactions among OPCs in gliomagenesis, and suggest unconventional therapeutic strategies to target this process.","lang":"eng"}],"doi":"10.64898/2026.01.15.699808","day":"16","oa_version":"Preprint","main_file_link":[{"url":"https://doi.org/10.64898/2026.01.15.699808","open_access":"1"}],"OA_place":"repository","citation":{"apa":"Jiang, Y., Ahn, R., Huang, A., Gonzalez, P. P., Kim, J., Zhang, G., … Zong, H. (2026). Critical role of cell competition in gliomagenesis. <i>bioRxiv</i>. <a href=\"https://doi.org/10.64898/2026.01.15.699808\">https://doi.org/10.64898/2026.01.15.699808</a>","ieee":"Y. Jiang <i>et al.</i>, “Critical role of cell competition in gliomagenesis,” <i>bioRxiv</i>. 2026.","ista":"Jiang Y, Ahn R, Huang A, Gonzalez PP, Kim J, Zhang G, Liu Z, He Z, Dudley L, Patel KS, Dzhivhuho GA, Crowl S, Przanowski P, Camacho LQ, Hao S, Zeng J, Hippenmeyer S, Fallahi-Sichani M, Janes KA, Naegle KM, Hammarskjold M-L, Goldman SA, Kornblum HI, Yao M, White F, Zong H. 2026. Critical role of cell competition in gliomagenesis. bioRxiv, <a href=\"https://doi.org/10.64898/2026.01.15.699808\">10.64898/2026.01.15.699808</a>.","mla":"Jiang, Ying, et al. “Critical Role of Cell Competition in Gliomagenesis.” <i>BioRxiv</i>, 2026, doi:<a href=\"https://doi.org/10.64898/2026.01.15.699808\">10.64898/2026.01.15.699808</a>.","ama":"Jiang Y, Ahn R, Huang A, et al. Critical role of cell competition in gliomagenesis. <i>bioRxiv</i>. 2026. doi:<a href=\"https://doi.org/10.64898/2026.01.15.699808\">10.64898/2026.01.15.699808</a>","short":"Y. Jiang, R. Ahn, A. Huang, P.P. Gonzalez, J. Kim, G. Zhang, Z. Liu, Z. He, L. Dudley, K.S. Patel, G.A. Dzhivhuho, S. Crowl, P. Przanowski, L.Q. Camacho, S. Hao, J. Zeng, S. Hippenmeyer, M. Fallahi-Sichani, K.A. Janes, K.M. Naegle, M.-L. Hammarskjold, S.A. Goldman, H.I. Kornblum, M. Yao, F. White, H. Zong, BioRxiv (2026).","chicago":"Jiang, Ying, Ryuhjin Ahn, Arthur Huang, Phillippe P. Gonzalez, Jungeun Kim, Guoxin Zhang, Zihao Liu, et al. “Critical Role of Cell Competition in Gliomagenesis.” <i>BioRxiv</i>, 2026. <a href=\"https://doi.org/10.64898/2026.01.15.699808\">https://doi.org/10.64898/2026.01.15.699808</a>."},"status":"public","oa":1,"date_created":"2026-02-10T12:55:55Z","date_published":"2026-01-16T00:00:00Z","article_processing_charge":"No","department":[{"_id":"SiHi"}],"license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","publication_status":"published","_id":"21212","publication":"bioRxiv","year":"2026","language":[{"iso":"eng"}],"date_updated":"2026-02-16T10:12:42Z","month":"01","title":"Critical role of cell competition in gliomagenesis","ddc":["570"],"acknowledgement":"We thank Dr. Wenjie Liu for providing critical feedback on the manuscript. We also thank Dr.\r\nPat Pramoonjago at the Biorepository and Tissue Research Facility, and Hope Davis at the\r\nvivarium for their assistance on the project. These Core Facilities are supported by UVA Cancer\r\nCenter grant #P30-CA044579. We are grateful to Dr. Jonathan A. Epstein for providing the\r\nNf1GRD/+ mouse strain (https://pubmed.ncbi.nlm.nih.gov/26460546/). This work was partly\r\nsupported by the National Institute of Neurological Diseases and Stroke R21 NS125479-01A1\r\n(H.Z.), American Cancer Society Institutional Research Grant to the University of Virginia\r\n(Y.J.), the National Natural Science Foundation of China #82072787 (M.Y.), the National\r\nCancer Institute U54 CA238114 (F.W.), U01 CA284193 (K.M.N.), and U54 CA274499 (K.A.J.,\r\nM.F-S.), the National institute of General Medical Sciences R35 GM133404 (M.F-S.), the Dr.\r\nMiriam and Sheldon G. Adelson Medical Research Foundation (H.I.K., S.A.G.), the National\r\nCenter for Advancing Translational Sciences KL2TR001882 (K.S.P.), Tower Cancer Career Development Grant (K.S.P.), McKnight Neurobiology of Brain Disorders Grant (K.S.P.). The\r\ncontent is solely the responsibility of the authors and does not necessarily represent the official\r\nviews of the National Institutes of Health. Illustrations in this manuscript were created with\r\nBioRender (BioRender.com).","author":[{"first_name":"Ying","full_name":"Jiang, Ying","last_name":"Jiang"},{"last_name":"Ahn","full_name":"Ahn, Ryuhjin","first_name":"Ryuhjin"},{"first_name":"Arthur","full_name":"Huang, Arthur","last_name":"Huang"},{"full_name":"Gonzalez, Phillippe P.","first_name":"Phillippe P.","last_name":"Gonzalez"},{"full_name":"Kim, Jungeun","first_name":"Jungeun","last_name":"Kim"},{"full_name":"Zhang, Guoxin","first_name":"Guoxin","last_name":"Zhang"},{"last_name":"Liu","first_name":"Zihao","full_name":"Liu, Zihao"},{"last_name":"He","first_name":"Zhenqiang","full_name":"He, Zhenqiang"},{"full_name":"Dudley, Lindsey","first_name":"Lindsey","last_name":"Dudley"},{"last_name":"Patel","first_name":"Kunal S.","full_name":"Patel, Kunal S."},{"first_name":"Godfrey A.","full_name":"Dzhivhuho, Godfrey A.","last_name":"Dzhivhuho"},{"last_name":"Crowl","first_name":"Sam","full_name":"Crowl, Sam"},{"last_name":"Przanowski","first_name":"Piotr","full_name":"Przanowski, Piotr"},{"last_name":"Camacho","full_name":"Camacho, Luisa Quesada","first_name":"Luisa Quesada"},{"first_name":"Sijie","full_name":"Hao, Sijie","last_name":"Hao"},{"first_name":"Jianhao","full_name":"Zeng, Jianhao","last_name":"Zeng"},{"last_name":"Hippenmeyer","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061","first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Fallahi-Sichani","first_name":"Mohammad","full_name":"Fallahi-Sichani, Mohammad"},{"last_name":"Janes","first_name":"Kevin A.","full_name":"Janes, Kevin A."},{"full_name":"Naegle, Kristen M.","first_name":"Kristen M.","last_name":"Naegle"},{"last_name":"Hammarskjold","full_name":"Hammarskjold, Marie-Louise","first_name":"Marie-Louise"},{"last_name":"Goldman","full_name":"Goldman, Steven A.","first_name":"Steven A."},{"last_name":"Kornblum","full_name":"Kornblum, Harley I.","first_name":"Harley I."},{"full_name":"Yao, Maojin","first_name":"Maojin","last_name":"Yao"},{"first_name":"Forest","full_name":"White, Forest","last_name":"White"},{"last_name":"Zong","full_name":"Zong, Hui","first_name":"Hui"}],"tmp":{"image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"preprint"},{"day":"11","main_file_link":[{"url":"https://doi.org/10.64898/2026.02.11.705284","open_access":"1"}],"oa_version":"Preprint","doi":"10.64898/2026.02.11.705284","abstract":[{"lang":"eng","text":"Gene duplication underlies evolutionary innovation, yet many paralogues remain highly similar, raising questions about their functional divergence and physiological relevance. The spliceosomal Sm core protein SNRPB and its mammalian-specific paralogue SNRPN share over 90% sequence identity, but their distinct expression patterns - SNRPB being ubiquitous and SNRPN confined to the brain - suggest specialized functions. Why mammals have two different spliceosomes has remained obscure. Here, we generated isogenic human cell lines expressing ectopically either SNRPB or SNRPN exclusively and found that SNRPN stabilizes transcripts involved in energy metabolism and mitochondrial function, leading to increased mitochondrial abundance and oxygen consumption. Despite similar spliceosomal interactomes, SNRPN more strongly associates with the PRMT5 methylosome complex and exhibits dynamic arginine methylation in its C-terminal region that is sensitive to translation inhibition and amino acid availability. The SNRPN-dependent transcriptome responds to translation inhibition by stabilizing long, intron-rich genes involved in amino acid and energy metabolism. Our findings reveal a nutrient-sensitive, methylation-dependent mechanism that differentiates the two paralogues. This suggests that SNRPN functions as a metabolic-specialized spliceosomal subunit thereby providing tissue-specific adaptation of RNA processing in mammals."}],"OA_type":"green","publication_status":"submitted","department":[{"_id":"SiHi"}],"article_processing_charge":"No","date_created":"2026-02-17T11:35:59Z","date_published":"2026-02-11T00:00:00Z","oa":1,"citation":{"apa":"Polat Haas, F., Villalba Requena, A., Rusina, P., Gopalan, A., Fritz, H., Akhmetkaliyev, A., … Keller Valsecchi, C. I. (n.d.). The splicing paralogues SNRPB and SNRPN control differential metabolic states. <i>bioRxiv</i>. <a href=\"https://doi.org/10.64898/2026.02.11.705284\">https://doi.org/10.64898/2026.02.11.705284</a>","ieee":"F. Polat Haas <i>et al.</i>, “The splicing paralogues SNRPB and SNRPN control differential metabolic states.,” <i>bioRxiv</i>. .","ista":"Polat Haas F, Villalba Requena A, Rusina P, Gopalan A, Fritz H, Akhmetkaliyev A, Ruehle F, Einsiedel A, Szczepinska A, Kielisch F, Chen J-X, Nguyen S, Schmidlin T, Hippenmeyer S, Bailicata MF, Keller Valsecchi CI. The splicing paralogues SNRPB and SNRPN control differential metabolic states. bioRxiv, <a href=\"https://doi.org/10.64898/2026.02.11.705284\">10.64898/2026.02.11.705284</a>.","mla":"Polat Haas, Feyza, et al. “The Splicing Paralogues SNRPB and SNRPN Control Differential Metabolic States.” <i>BioRxiv</i>, doi:<a href=\"https://doi.org/10.64898/2026.02.11.705284\">10.64898/2026.02.11.705284</a>.","short":"F. Polat Haas, A. Villalba Requena, P. Rusina, A. Gopalan, H. Fritz, A. Akhmetkaliyev, F. Ruehle, A. Einsiedel, A. Szczepinska, F. Kielisch, J.-X. Chen, S. Nguyen, T. Schmidlin, S. Hippenmeyer, M.F. Bailicata, C.I. Keller Valsecchi, BioRxiv (n.d.).","ama":"Polat Haas F, Villalba Requena A, Rusina P, et al. The splicing paralogues SNRPB and SNRPN control differential metabolic states. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.64898/2026.02.11.705284\">10.64898/2026.02.11.705284</a>","chicago":"Polat Haas, Feyza, Ana Villalba Requena, Polina Rusina, Anusha Gopalan, Hector Fritz, Azamat Akhmetkaliyev, Frank Ruehle, et al. “The Splicing Paralogues SNRPB and SNRPN Control Differential Metabolic States.” <i>BioRxiv</i>, n.d. <a href=\"https://doi.org/10.64898/2026.02.11.705284\">https://doi.org/10.64898/2026.02.11.705284</a>."},"status":"public","OA_place":"repository","acknowledgement":"We thank Oliver Mühlemann and Alex Hofer (University of Bern) for sharing SMG inhibitors\r\nand for their expertise in nonsense-mediated mRNA decay and Maria Hondele for critical\r\nreading of the manuscript draft. We also thank the IMB Genomics Core Facility for assistance\r\nwith library preparation and sequencing, Martin Möckel and the IMB Protein Production Core\r\nFacility for providing enzymes used in this work, Marton Gelleri together with the IMB\r\nMicroscopy Core Facility for support with microscopy and FRAP experiments, Jasmin Cartano\r\nfor proteomics sample processing and the IMB Flow Cytometry Core Facility for support. In\r\naddition, we thank the Imaging Core Facility (IMCF) and the FACS Core Facility at the\r\nBiozentrum, University of Basel, for technical assistance. CIKV acknowledges funding by the\r\nDeutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Individual Grant\r\nProject no. 513744403, Scientific Network Grant Project no. 531902894, GRK2526 “Genevo”\r\n- Project no. 407023052”, GRK2859 (“4R”) - Project no. 491145305, Forschungsinitiative\r\nRheinland-Pfalz (ReALity), the EMBO Young Investigator Program (5795), institutional\r\nfunding from the Institute of Molecular Biology and funds from the Kanton Basel-Stadt and\r\nBasel-Land provided to the Biozentrum of the University Basel. J.H.G.F.G. was part of the\r\n‘Science of Healthy Ageing Research Programme’ (SHARP) initiative funded by RhinelandPalatinate’s Ministry of Science, Education and Culture. PR is funded by the Biozentrum PhD\r\nFellowships Program. MFB received financial support from the intramural High Potentials\r\nGrant program of the University Medical Center Mainz, Forschungsinitiative Rheinland-Pfalz\r\n(ReALity) and Stiftungen zugunsten der Medizinischen Fakultät der LMU Klinikum (26069).\r\nInstruments in the IMB core facilities were supported by funds from the DFG: Laser Scanning\r\nConfocal (Leica Stellaris 8 Falcon, funded by the DFG - Project #497669232), Orbitrap Astral system (funded by the DFG - Project #524805621) and BD LSRFortessa SOPR is funded by\r\nthe DFG - Project #210253511.\r\n","title":"The splicing paralogues SNRPB and SNRPN control differential metabolic states.","month":"02","date_updated":"2026-02-23T11:03:33Z","year":"2026","_id":"21290","language":[{"iso":"eng"}],"publication":"bioRxiv","type":"preprint","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"last_name":"Polat Haas","full_name":"Polat Haas, Feyza","first_name":"Feyza"},{"last_name":"Villalba Requena","orcid":"0000-0002-5615-5277","full_name":"Villalba Requena, Ana","id":"68cb85a0-39f7-11eb-9559-9aaab4f6a247","first_name":"Ana"},{"last_name":"Rusina","first_name":"Polina","full_name":"Rusina, Polina"},{"last_name":"Gopalan","full_name":"Gopalan, Anusha","first_name":"Anusha"},{"full_name":"Fritz, Hector","first_name":"Hector","last_name":"Fritz"},{"full_name":"Akhmetkaliyev, Azamat","first_name":"Azamat","last_name":"Akhmetkaliyev"},{"last_name":"Ruehle","full_name":"Ruehle, Frank","first_name":"Frank"},{"full_name":"Einsiedel, Anna","first_name":"Anna","last_name":"Einsiedel"},{"full_name":"Szczepinska, Anna","first_name":"Anna","last_name":"Szczepinska"},{"last_name":"Kielisch","first_name":"Fridolin","full_name":"Kielisch, Fridolin"},{"last_name":"Chen","first_name":"Jia-Xuan","full_name":"Chen, Jia-Xuan"},{"first_name":"Susanne","full_name":"Nguyen, Susanne","last_name":"Nguyen"},{"last_name":"Schmidlin","full_name":"Schmidlin, Thierry","first_name":"Thierry"},{"orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","last_name":"Hippenmeyer"},{"full_name":"Bailicata, M. Felicia","first_name":"M. Felicia","last_name":"Bailicata"},{"full_name":"Keller Valsecchi, Claudia Isabelle","first_name":"Claudia Isabelle","last_name":"Keller Valsecchi"}]},{"abstract":[{"text":"The complexity and specificity of movement in vertebrates is driven by a rich diversity of spinal motor and interneuron cell types. During development, eleven spinal cord progenitor domains generate an equivalent number of cardinal neuron types. How progenitor domains, individual progenitors, and post-mitotic diversity relate is still unknown. We performed high-resolution, single-progenitor cell lineage tracing in the embryonic mouse spinal cord using mosaic analysis with double markers (MADM). Our quantitative study of lineage progression revealed that spinal cord progenitors undergo highly variable numbers of proliferative, neurogenic, and gliogenic cell divisions. The nascent clonally-related neurons migrate radially over large distances, span the dorsoventral axis, and even cross the midline, demonstrating striking bilaterality. Molecular and morphometric analysis indicate high levels of progenitor multipotency, with an individual progenitor capable of producing several molecularly and morphologically distinct neuron types, as well as astrocytes. These findings redefine spinal cord development as a process in which lineage variability — rather than rigid progenitor identity — drives the generation of cellular diversity.","lang":"eng"}],"OA_type":"green","status":"public","OA_place":"repository","article_processing_charge":"No","date_published":"2026-02-16T00:00:00Z","date_created":"2026-02-17T11:36:20Z","year":"2026","publication":"bioRxiv","language":[{"iso":"eng"}],"acknowledgement":"We would like to thank Elizabeth Marin, Anna Kicheva, Igor Adameyko, and James Briscoe as\r\nwell as members of the Sweeney and Hippemeyer labs and SFB consortium for comments on\r\nthe manuscript. We are also grateful for the technical support of the Preclinical and Imaging and\r\nOptics Facilities support teams (ISTA). In addition, we thank our funding sources for providing\r\nthe resources to do these experiments: Horizon Europe ERC Starting Grant Number 101041551\r\n(M.S.; L.B.S.); Special Research Program (SFB) of the Austrian Science Fund (FWF)\r\nNeuroStem Modulation Project numbers F7814-B (S.A.G.; M.S.; G.S.; and L.B.S.) and F7805\r\n(G.C. and S.H.). S.A.G is supported by a Boehringer Ingelheim Fonds PhD Fellowship, F.D.S.N.\r\nby an Institute of Science and Technology Austria (ISTA) GROW fellowship, and G.C. by an\r\nISTA Plus postdoctoral fellowship from the European Commission. S.H./L.B.S. and G.C. were\r\nadditionally supported by institutional funds from the ISTA and the University of Exeter,\r\nrespectively. ","author":[{"full_name":"Gobeil, Sophie A","first_name":"Sophie A","id":"2f3e9efb-eb24-11ec-86b2-88efb11d59fa","last_name":"Gobeil"},{"full_name":"Da Silveira Neto, Francisco","first_name":"Francisco","id":"8cfb7412-10a7-11f1-add1-82b44e6418f2","last_name":"Da Silveira Neto"},{"full_name":"Silvestrelli, Giulia","id":"12632ae8-799e-11ef-94a2-e5a3b5ef49e9","first_name":"Giulia","last_name":"Silvestrelli"},{"last_name":"Smits","full_name":"Smits, Matthijs Geert","first_name":"Matthijs Geert","id":"7a231d52-e216-11ee-a0bb-8acd55f8f1f0"},{"last_name":"Streicher","id":"36BCB99C-F248-11E8-B48F-1D18A9856A87","first_name":"Carmen","full_name":"Streicher, Carmen"},{"first_name":"Giselle T","id":"471195F6-F248-11E8-B48F-1D18A9856A87","full_name":"Cheung, Giselle T","orcid":"0000-0001-8457-2572","last_name":"Cheung"},{"last_name":"Hippenmeyer","first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon"},{"last_name":"Sweeney","full_name":"Sweeney, Lora Beatrice Jaeger","orcid":"0000-0001-9242-5601","id":"56BE8254-C4F0-11E9-8E45-0B23E6697425","first_name":"Lora Beatrice Jaeger"}],"acknowledged_ssus":[{"_id":"PreCl"},{"_id":"Bio"}],"has_accepted_license":"1","project":[{"grant_number":"101041551","name":"Development and Evolution of Tetrapod Motor Circuits","_id":"ebb66355-77a9-11ec-83b8-b8ac210a4dae"},{"name":"Stem Cell Modulation in Neural Development and Regeneration/ P14-Swim-to-limb transition: cell type to connection diversity","grant_number":"F7814","_id":"8da85f50-16d5-11f0-9cad-eab8b0ff6c9e"},{"grant_number":"F7805","name":"Stem Cell Modulation in Neural Development and Regeneration/ P05-Molecular Mechanisms of Neural Stem Cell Lineage Progression","_id":"059F6AB4-7A3F-11EA-A408-12923DDC885E"}],"oa_version":"Preprint","main_file_link":[{"url":"https://doi.org/10.64898/2026.02.12.705305","open_access":"1"}],"day":"16","doi":"10.64898/2026.02.12.705305","oa":1,"citation":{"ista":"Gobeil SA, Da Silveira Neto F, Silvestrelli G, Smits MG, Streicher C, Cheung GT, Hippenmeyer S, Sweeney LB. Lineage origin of spinal cord cell type diversity. bioRxiv, <a href=\"https://doi.org/10.64898/2026.02.12.705305\">10.64898/2026.02.12.705305</a>.","apa":"Gobeil, S. A., Da Silveira Neto, F., Silvestrelli, G., Smits, M. G., Streicher, C., Cheung, G. T., … Sweeney, L. B. (n.d.). Lineage origin of spinal cord cell type diversity. <i>bioRxiv</i>. <a href=\"https://doi.org/10.64898/2026.02.12.705305\">https://doi.org/10.64898/2026.02.12.705305</a>","ieee":"S. A. Gobeil <i>et al.</i>, “Lineage origin of spinal cord cell type diversity,” <i>bioRxiv</i>. .","mla":"Gobeil, Sophie A., et al. “Lineage Origin of Spinal Cord Cell Type Diversity.” <i>BioRxiv</i>, doi:<a href=\"https://doi.org/10.64898/2026.02.12.705305\">10.64898/2026.02.12.705305</a>.","chicago":"Gobeil, Sophie A, Francisco Da Silveira Neto, Giulia Silvestrelli, Matthijs Geert Smits, Carmen Streicher, Giselle T Cheung, Simon Hippenmeyer, and Lora B. Sweeney. “Lineage Origin of Spinal Cord Cell Type Diversity.” <i>BioRxiv</i>, n.d. <a href=\"https://doi.org/10.64898/2026.02.12.705305\">https://doi.org/10.64898/2026.02.12.705305</a>.","short":"S.A. Gobeil, F. Da Silveira Neto, G. Silvestrelli, M.G. Smits, C. Streicher, G.T. Cheung, S. Hippenmeyer, L.B. Sweeney, BioRxiv (n.d.).","ama":"Gobeil SA, Da Silveira Neto F, Silvestrelli G, et al. Lineage origin of spinal cord cell type diversity. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.64898/2026.02.12.705305\">10.64898/2026.02.12.705305</a>"},"publication_status":"submitted","department":[{"_id":"SiHi"},{"_id":"LoSw"}],"date_updated":"2026-04-14T08:16:55Z","_id":"21291","month":"02","ddc":["570"],"title":"Lineage origin of spinal cord cell type diversity","corr_author":"1","tmp":{"image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"preprint"},{"title":"Dual role of FOXG1 in regulating gliogenesis in the developing neocortex via the FGF signalling pathway","ddc":["570"],"date_updated":"2025-05-14T11:41:52Z","_id":"14647","month":"03","pmid":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"journal_article","oa_version":"Published Version","day":"14","doi":"10.7554/elife.101851.3","has_accepted_license":"1","volume":13,"scopus_import":"1","publication_status":"published","department":[{"_id":"SiHi"}],"intvolume":"        13","oa":1,"citation":{"ama":"Bose M, Suresh V, Mishra U, et al. Dual role of FOXG1 in regulating gliogenesis in the developing neocortex via the FGF signalling pathway. <i>eLife</i>. 2025;13. doi:<a href=\"https://doi.org/10.7554/elife.101851.3\">10.7554/elife.101851.3</a>","short":"M. Bose, V. Suresh, U. Mishra, I. Talwar, A. Yadav, S. Biswas, S. Hippenmeyer, S. Tole, ELife 13 (2025).","chicago":"Bose, Mahima, Varun Suresh, Urvi Mishra, Ishita Talwar, Anuradha Yadav, Shiona Biswas, Simon Hippenmeyer, and Shubha Tole. “Dual Role of FOXG1 in Regulating Gliogenesis in the Developing Neocortex via the FGF Signalling Pathway.” <i>ELife</i>. eLife Sciences Publications, 2025. <a href=\"https://doi.org/10.7554/elife.101851.3\">https://doi.org/10.7554/elife.101851.3</a>.","mla":"Bose, Mahima, et al. “Dual Role of FOXG1 in Regulating Gliogenesis in the Developing Neocortex via the FGF Signalling Pathway.” <i>ELife</i>, vol. 13, 101851, eLife Sciences Publications, 2025, doi:<a href=\"https://doi.org/10.7554/elife.101851.3\">10.7554/elife.101851.3</a>.","apa":"Bose, M., Suresh, V., Mishra, U., Talwar, I., Yadav, A., Biswas, S., … Tole, S. (2025). Dual role of FOXG1 in regulating gliogenesis in the developing neocortex via the FGF signalling pathway. <i>ELife</i>. eLife Sciences Publications. <a href=\"https://doi.org/10.7554/elife.101851.3\">https://doi.org/10.7554/elife.101851.3</a>","ista":"Bose M, Suresh V, Mishra U, Talwar I, Yadav A, Biswas S, Hippenmeyer S, Tole S. 2025. Dual role of FOXG1 in regulating gliogenesis in the developing neocortex via the FGF signalling pathway. eLife. 13, 101851.","ieee":"M. Bose <i>et al.</i>, “Dual role of FOXG1 in regulating gliogenesis in the developing neocortex via the FGF signalling pathway,” <i>eLife</i>, vol. 13. eLife Sciences Publications, 2025."},"publisher":"eLife Sciences Publications","acknowledgement":"We thank the animal house staff of the Tata Institute of Fundamental Research, Mumbai (TIFR), for their excellent support; Gordon Fishell (Harvard Medical School, USA), and Goichi Miyoshi (Gunma University, Japan) for the Foxg1 floxed mouse line; Hiroshi Kawasaki (Kanazawa University, Japan) for the plasmids pCAG-FGF8 and pCAG-sFgfr3c; Soo Kyung Lee (University at Buffalo, The State University of New York, USA) for the Foxg1lox/lox genotyping primers and protocol. We thank Deepak Modi and Vainav Patel (National Institute for Research in Reproductive and Child Health, NIRRCH, Mumbai, India) for the use of the NIRRCH FACS Facility, and the staff of the NIRRCH and TIFR FACS facilities for their assistance. We thank Denis Jabaudon (University of Geneva, Switzerland) for his critical comments on the manuscript and members of the Jabaudon lab for helpful discussions. This work was funded by the Department of Atomic Energy (DAE), Govt. of India (Project Identification no. RTI4003,\r\nDAE OM no. 1303/2/2019/R&D-II/DAE/2079). ","file_date_updated":"2025-04-03T11:19:26Z","language":[{"iso":"eng"}],"year":"2025","publication":"eLife","publication_identifier":{"eissn":["2050-084X"]},"article_number":"101851","author":[{"last_name":"Bose","full_name":"Bose, Mahima","first_name":"Mahima"},{"last_name":"Suresh","full_name":"Suresh, Varun","first_name":"Varun"},{"last_name":"Mishra","full_name":"Mishra, Urvi","first_name":"Urvi"},{"last_name":"Talwar","full_name":"Talwar, Ishita","first_name":"Ishita"},{"first_name":"Anuradha","full_name":"Yadav, Anuradha","last_name":"Yadav"},{"last_name":"Biswas","full_name":"Biswas, Shiona","first_name":"Shiona"},{"last_name":"Hippenmeyer","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon"},{"first_name":"Shubha","full_name":"Tole, Shubha","last_name":"Tole"}],"quality_controlled":"1","abstract":[{"text":"In the developing vertebrate central nervous system, neurons and glia typically arise\r\nsequentially from common progenitors. Here, we report that the transcription factor Forkhead\r\nBox G1 (Foxg1) regulates gliogenesis in the mouse neocortex via distinct cell-autonomous roles in progenitors and postmitotic neurons that regulate different aspects of the gliogenic FGF signalling pathway. We demonstrate that loss of Foxg1 in cortical progenitors at neurogenic stages causes premature astrogliogenesis. We identify a novel FOXG1 target, the pro-gliogenic FGF pathway component Fgfr3, which is suppressed by FOXG1 cell-autonomously to maintain neurogenesis. Furthermore, FOXG1 can also suppress premature astrogliogenesis triggered by the augmentation of FGF signalling. We identify a second novel function of FOXG1 in regulating the expression of gliogenic cues in newborn neocortical upper-layer neurons. Loss of FOXG1 in postmitotic neurons non-autonomously enhances gliogenesis in the progenitors via FGF signalling. These results fit well with the model that newborn neurons secrete cues that trigger progenitors to produce the next wave of cell types, astrocytes. If FGF signalling is attenuated in Foxg1 null progenitors, they progress to oligodendrocyte production. Therefore, loss of FOXG1 transitions the progenitor to a gliogenic state, producing either astrocytes or oligodendrocytes depending on FGF signalling levels. Our results uncover how FOXG1 integrates extrinsic signalling via the FGF pathway to regulate the sequential generation of neurons, astrocytes, and oligodendrocytes in the cerebral cortex. ","lang":"eng"}],"OA_type":"gold","file":[{"relation":"main_file","checksum":"64a6a6f86e24b21fe72c7a7fd6056fed","file_name":"2025_eLife_Bose.pdf","date_created":"2025-04-03T11:19:26Z","creator":"dernst","access_level":"open_access","success":1,"content_type":"application/pdf","file_size":17462771,"date_updated":"2025-04-03T11:19:26Z","file_id":"19467"}],"external_id":{"pmid":["40085500"]},"license":"https://creativecommons.org/licenses/by/4.0/","article_type":"original","status":"public","OA_place":"publisher","article_processing_charge":"Yes","date_published":"2025-03-14T00:00:00Z","date_created":"2023-12-06T13:07:01Z"},{"acknowledged_ssus":[{"_id":"Bio"}],"author":[{"first_name":"Giselle T","id":"471195F6-F248-11E8-B48F-1D18A9856A87","full_name":"Cheung, Giselle T","orcid":"0000-0001-8457-2572","last_name":"Cheung"},{"orcid":"0000-0002-7462-0048","full_name":"Pauler, Florian","id":"48EA0138-F248-11E8-B48F-1D18A9856A87","first_name":"Florian","last_name":"Pauler"},{"last_name":"Hippenmeyer","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon"}],"quality_controlled":"1","place":"New York, NY","acknowledgement":"We thank all Hippenmeyer lab members for support and discussions. Experimental steps described were optimized with support provided by the Imaging & Optics Facility (IOF) and Preclinical Facility (PCF) at ISTA, Vienna BioCenter Core Facilities (VBCF), and Christoph Bock lab at Center for Molecular Medicine (CeMM). G.C. received funding from European Commission (IST plus postdoctoral fellowship). This work was supported by ISTA institutional funds: The Austrian Science Fund Special Research Programmes (FWF SFB F78 Neuro Stem Modulation) to S.H.","publication":"Lineage Tracing","language":[{"iso":"eng"}],"year":"2025","publication_identifier":{"isbn":["9781071643099"],"eissn":["1940-6029"],"issn":["1064-3745"],"eisbn":["9781071643105"]},"external_id":{"pmid":["39745639"]},"editor":[{"last_name":"Garcia-Marques","full_name":"Garcia-Marques, Jorge","first_name":"Jorge"},{"last_name":"Lee","full_name":"Lee, Tzumin","first_name":"Tzumin"}],"status":"public","date_published":"2025-01-03T00:00:00Z","date_created":"2025-01-07T08:36:47Z","article_processing_charge":"No","OA_type":"closed access","page":"139-151","abstract":[{"text":"Mosaic Analysis with Double Markers (MADM) represents a mouse genetic approach coupling differential fluorescent labeling to genetic manipulations in dividing cells and their lineages. MADM uniquely enables the generation and visualization of individual control or homozygous mutant cells in a heterozygous genetic environment. Among its diverse applications, MADM has been used to dissect cell-autonomous gene functions important for cortical development and neural development in general. The high cellular resolution offered by MADM also permits the analysis of transcriptomic changes of individual cells upon genetic manipulations. In this chapter, we describe an experimental protocol combining the generation and isolation of MADM-labeled cells with downstream single-cell RNA-sequencing technologies to probe cell-type specific phenotypes due to genetic mutations at single-cell resolution.","lang":"eng"}],"ec_funded":1,"pmid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"book_chapter","series_title":"MIMB","title":"Probing Cell-Type Specificity of Mutant Phenotype at Transcriptomic Level Using Mosaic Analysis with Double Markers (MADM)","corr_author":"1","alternative_title":["Methods in Molecular Biology"],"_id":"18765","date_updated":"2025-04-14T07:43:46Z","month":"01","department":[{"_id":"SiHi"}],"publication_status":"published","intvolume":"      2886","citation":{"short":"G.T. Cheung, F. Pauler, S. Hippenmeyer, in:, J. Garcia-Marques, T. Lee (Eds.), Lineage Tracing, Springer Nature, New York, NY, 2025, pp. 139–151.","ama":"Cheung GT, Pauler F, Hippenmeyer S. Probing Cell-Type Specificity of Mutant Phenotype at Transcriptomic Level Using Mosaic Analysis with Double Markers (MADM). In: Garcia-Marques J, Lee T, eds. <i>Lineage Tracing</i>. Vol 2886. MIMB. New York, NY: Springer Nature; 2025:139-151. doi:<a href=\"https://doi.org/10.1007/978-1-0716-4310-5_7\">10.1007/978-1-0716-4310-5_7</a>","chicago":"Cheung, Giselle T, Florian Pauler, and Simon Hippenmeyer. “Probing Cell-Type Specificity of Mutant Phenotype at Transcriptomic Level Using Mosaic Analysis with Double Markers (MADM).” In <i>Lineage Tracing</i>, edited by Jorge Garcia-Marques and Tzumin Lee, 2886:139–51. MIMB. New York, NY: Springer Nature, 2025. <a href=\"https://doi.org/10.1007/978-1-0716-4310-5_7\">https://doi.org/10.1007/978-1-0716-4310-5_7</a>.","ieee":"G. T. Cheung, F. Pauler, and S. Hippenmeyer, “Probing Cell-Type Specificity of Mutant Phenotype at Transcriptomic Level Using Mosaic Analysis with Double Markers (MADM),” in <i>Lineage Tracing</i>, vol. 2886, J. Garcia-Marques and T. Lee, Eds. New York, NY: Springer Nature, 2025, pp. 139–151.","apa":"Cheung, G. T., Pauler, F., &#38; Hippenmeyer, S. (2025). Probing Cell-Type Specificity of Mutant Phenotype at Transcriptomic Level Using Mosaic Analysis with Double Markers (MADM). In J. Garcia-Marques &#38; T. Lee (Eds.), <i>Lineage Tracing</i> (Vol. 2886, pp. 139–151). New York, NY: Springer Nature. <a href=\"https://doi.org/10.1007/978-1-0716-4310-5_7\">https://doi.org/10.1007/978-1-0716-4310-5_7</a>","ista":"Cheung GT, Pauler F, Hippenmeyer S. 2025.Probing Cell-Type Specificity of Mutant Phenotype at Transcriptomic Level Using Mosaic Analysis with Double Markers (MADM). In: Lineage Tracing. Methods in Molecular Biology, vol. 2886, 139–151.","mla":"Cheung, Giselle T., et al. “Probing Cell-Type Specificity of Mutant Phenotype at Transcriptomic Level Using Mosaic Analysis with Double Markers (MADM).” <i>Lineage Tracing</i>, edited by Jorge Garcia-Marques and Tzumin Lee, vol. 2886, Springer Nature, 2025, pp. 139–51, doi:<a href=\"https://doi.org/10.1007/978-1-0716-4310-5_7\">10.1007/978-1-0716-4310-5_7</a>."},"publisher":"Springer Nature","doi":"10.1007/978-1-0716-4310-5_7","oa_version":"None","day":"03","scopus_import":"1","volume":2886,"project":[{"call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425","name":"ISTplus - Postdoctoral Fellowships","grant_number":"754411"}]},{"publication":"bioRxiv","_id":"19717","language":[{"iso":"eng"}],"year":"2025","date_updated":"2025-05-28T06:37:46Z","month":"05","title":"Early emergence of projection-subtype fate-restricted radial glial progenitors orchestrates neocortical neurogenesis","acknowledgement":"We thank M. Caouyette for the plasmid construction for Pou3f1 overexpression; C. Varela747 Martínez for help with the code for graphical analysis; all members from the Nieto’s lab for\r\ncomment on the manuscript, specially to F. Martín for the insightful discussions;J.C. Oliveros\r\nand J.A. García from the computational service of the CNB for help with the analysis of\r\nRNAseq dataset, C.O. Sorzano for the help with statistical analysis, and the service of\r\nAdvance Optical Microscopy of the CNB for their technical advice.\r\nI.V.M holds a fellowship funded by MCICIU (PRE-2018-083376), the work was funded by\r\nPID2020-112831GB-I00 funded by MCIN/AEI /10.13039/501100011033.\r\n","author":[{"full_name":"Varela-Martínez, I","first_name":"I","last_name":"Varela-Martínez"},{"orcid":"0000-0002-5615-5277","full_name":"Villalba Requena, Ana","first_name":"Ana","id":"68cb85a0-39f7-11eb-9559-9aaab4f6a247","last_name":"Villalba Requena"},{"last_name":"Garcia-Marqués","full_name":"Garcia-Marqués, J.","first_name":"J."},{"last_name":"Hippenmeyer","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87"},{"first_name":"M.","full_name":"Nieto, M.","last_name":"Nieto"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"preprint","OA_type":"green","abstract":[{"lang":"eng","text":"Radial glial progenitors (RGPs) generate all projection neurons (PNs) in the cerebral cortex through incompletely understood processes. Herein, we combine Mosaic Analysis with Double Markers (MADM)-based clonal analysis at embryonic days 12.5 and 13.5 with early postnatal callosal tracing to reveal a lineage progression that challenges the inside-outside model of cortical development and the conventional view of an invariable sequence of asymmetric neurogenic divisions. Our data demonstrate that early multipotent RGPs generate all extra-telencephalic (ET) and intra-telencephalic (IT) PNs across all layers through parallel sublineages and the random specification, during the earliest neurogenic divisions, of fate-restricted daughter RGPs. While the neuronal production of the parental multipotent RGPs consists of small ET-PN or IT-PN outputs, fate-restricted RGPs produce larger translaminar outputs spanning deep and upper layers of only IT-PNs, the predominant mammalian PN subtype. We further show that the emergence of IT-PN fate-restricted RGPs also leads to quantitatively and temporally stereotyped neurogenesis population-wise."}],"doi":"10.1101/2025.05.07.652665","day":"07","oa_version":"Preprint","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1101/2025.05.07.652665"}],"citation":{"ama":"Varela-Martínez I, Villalba Requena A, Garcia-Marqués J, Hippenmeyer S, Nieto M. Early emergence of projection-subtype fate-restricted radial glial progenitors orchestrates neocortical neurogenesis. <i>bioRxiv</i>. 2025. doi:<a href=\"https://doi.org/10.1101/2025.05.07.652665\">10.1101/2025.05.07.652665</a>","short":"I. Varela-Martínez, A. Villalba Requena, J. Garcia-Marqués, S. Hippenmeyer, M. Nieto, BioRxiv (2025).","chicago":"Varela-Martínez, I, Ana Villalba Requena, J. Garcia-Marqués, Simon Hippenmeyer, and M. Nieto. “Early Emergence of Projection-Subtype Fate-Restricted Radial Glial Progenitors Orchestrates Neocortical Neurogenesis.” <i>BioRxiv</i>, 2025. <a href=\"https://doi.org/10.1101/2025.05.07.652665\">https://doi.org/10.1101/2025.05.07.652665</a>.","ieee":"I. Varela-Martínez, A. Villalba Requena, J. Garcia-Marqués, S. Hippenmeyer, and M. Nieto, “Early emergence of projection-subtype fate-restricted radial glial progenitors orchestrates neocortical neurogenesis,” <i>bioRxiv</i>. 2025.","apa":"Varela-Martínez, I., Villalba Requena, A., Garcia-Marqués, J., Hippenmeyer, S., &#38; Nieto, M. (2025). Early emergence of projection-subtype fate-restricted radial glial progenitors orchestrates neocortical neurogenesis. <i>bioRxiv</i>. <a href=\"https://doi.org/10.1101/2025.05.07.652665\">https://doi.org/10.1101/2025.05.07.652665</a>","ista":"Varela-Martínez I, Villalba Requena A, Garcia-Marqués J, Hippenmeyer S, Nieto M. 2025. Early emergence of projection-subtype fate-restricted radial glial progenitors orchestrates neocortical neurogenesis. bioRxiv, <a href=\"https://doi.org/10.1101/2025.05.07.652665\">10.1101/2025.05.07.652665</a>.","mla":"Varela-Martínez, I., et al. “Early Emergence of Projection-Subtype Fate-Restricted Radial Glial Progenitors Orchestrates Neocortical Neurogenesis.” <i>BioRxiv</i>, 2025, doi:<a href=\"https://doi.org/10.1101/2025.05.07.652665\">10.1101/2025.05.07.652665</a>."},"status":"public","OA_place":"repository","oa":1,"date_created":"2025-05-20T10:19:29Z","date_published":"2025-05-07T00:00:00Z","article_processing_charge":"No","department":[{"_id":"SiHi"}],"publication_status":"published"},{"file_date_updated":"2025-07-07T09:52:46Z","acknowledgement":"The project was initiated in the Jan lab at UCSF. We thank Lily Jan and Yuh-Nung Jan’s generous support. We thank Liqun Luo’s lab for providing MADM-7 mice and Rolf A Brekken for VEGF-antibodies.  Drs. Yuanquan Song (UPenn), Zhaozhu Hu (JHU), Ji Hu (ShanghaiTech), Yang Xiang (U. Mass), Hao Wang (Zhejiang U.) and Ruikang Wang (U. Washington) for critical input, colleagues at Children’s Research Institute, Departments of Neuroscience, Neurology and Neurotherapeutics, Pediatrics from UT Southwestern, and colleagues from the Jan lab for discussion. Dr. Bridget Samuels, Sean Morrison (UT Southwestern), and Nannan Lu (Zhejiang U.) for critical reading. We acknowledge the assistance of the CIBR Imaging core. We also thank UT Southwestern Live Cell Imaging Facility, a Shared Resource of the Harold C. Simmons Cancer Center, supported in part by an NCI Cancer Center Support Grant, P30 CA142543K. This work is supported by CIBR funds and the American Heart Association AWRP Summer 2016 Innovative Research Grant (17IRG33410377) to W-P.G.; National Natural Science Foundation of China (No.81370031) to Z.Z.;National Key Research and Development Program of China (2016YFE0125400)to F.H.;National Natural Science Foundations of China (No. 81473202) to Y.L.; National Natural Science Foundation of China (No.31600839) and Shenzhen Science and Technology Research Program (JCYJ20170818163320865) to B.P.; National Natural Science Foundation of China (No. 31800864) and Westlake University start-up funds to J-M. J. NIH R01NS088627 to W.L.J.; NIH: R01 AG020670 and RF1AG054111 to H.Z.; R01 NS088555 to A.M.S., and European Research Council No.725780 to S.H.;W-P.G. was a recipient of Bugher-American Heart Association Dan Adams Thinking Outside the Box Award.","isi":1,"year":"2025","language":[{"iso":"eng"}],"publication":"Nature Communications","publication_identifier":{"eissn":["2041-1723"]},"author":[{"first_name":"Xiaofei","full_name":"Gao, Xiaofei","last_name":"Gao"},{"last_name":"Li","full_name":"Li, Jun-Liszt","first_name":"Jun-Liszt"},{"first_name":"Xingjun","full_name":"Chen, Xingjun","last_name":"Chen"},{"last_name":"Ci","full_name":"Ci, Bo","first_name":"Bo"},{"last_name":"Chen","first_name":"Fei","full_name":"Chen, Fei"},{"full_name":"Lu, Nannan","first_name":"Nannan","last_name":"Lu"},{"full_name":"Shen, Bo","first_name":"Bo","last_name":"Shen"},{"last_name":"Zheng","full_name":"Zheng, Lijun","first_name":"Lijun"},{"last_name":"Jia","first_name":"Jie-Min","full_name":"Jia, Jie-Min"},{"first_name":"Yating","full_name":"Yi, Yating","last_name":"Yi"},{"first_name":"Shiwen","full_name":"Zhang, Shiwen","last_name":"Zhang"},{"last_name":"Shi","first_name":"Ying-Chao","full_name":"Shi, Ying-Chao"},{"last_name":"Shi","full_name":"Shi, Kaibin","first_name":"Kaibin"},{"full_name":"Propson, Nicholas E","first_name":"Nicholas E","last_name":"Propson"},{"full_name":"Huang, Yubin","first_name":"Yubin","last_name":"Huang"},{"last_name":"Poinsatte","first_name":"Katherine","full_name":"Poinsatte, Katherine"},{"first_name":"Zhaohuan","full_name":"Zhang, Zhaohuan","last_name":"Zhang"},{"full_name":"Yue, Yuanlei","first_name":"Yuanlei","last_name":"Yue"},{"full_name":"Bosco, Dale B","first_name":"Dale B","last_name":"Bosco"},{"last_name":"Lu","full_name":"Lu, Ying-mei","first_name":"Ying-mei"},{"full_name":"Yang, Shi-bing","first_name":"Shi-bing","last_name":"Yang"},{"full_name":"Adams, Ralf H.","first_name":"Ralf H.","last_name":"Adams"},{"full_name":"Lindner, Volkhard","first_name":"Volkhard","last_name":"Lindner"},{"last_name":"Huang","first_name":"Fen","full_name":"Huang, Fen"},{"last_name":"Wu","full_name":"Wu, Long-Jun","first_name":"Long-Jun"},{"last_name":"Zheng","first_name":"Hui","full_name":"Zheng, Hui"},{"last_name":"Han","full_name":"Han, Feng","first_name":"Feng"},{"last_name":"Hippenmeyer","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon"},{"last_name":"Stowe","full_name":"Stowe, Ann M.","first_name":"Ann M."},{"full_name":"Peng, Bo","first_name":"Bo","last_name":"Peng"},{"full_name":"Margeta, Marta","first_name":"Marta","last_name":"Margeta"},{"first_name":"Xiaoqun","full_name":"Wang, Xiaoqun","last_name":"Wang"},{"first_name":"Qiang","full_name":"Liu, Qiang","last_name":"Liu"},{"last_name":"Körbelin","first_name":"Jakob","full_name":"Körbelin, Jakob"},{"first_name":"Martin","full_name":"Trepel, Martin","last_name":"Trepel"},{"full_name":"Lu, Hui","first_name":"Hui","last_name":"Lu"},{"first_name":"Bo O.","full_name":"Zhou, Bo O.","last_name":"Zhou"},{"last_name":"Zhao","full_name":"Zhao, Hu","first_name":"Hu"},{"first_name":"Wenzhi","full_name":"Su, Wenzhi","last_name":"Su"},{"full_name":"Bachoo, Robert M.","first_name":"Robert M.","last_name":"Bachoo"},{"last_name":"Ge","full_name":"Ge, Woo-ping","first_name":"Woo-ping"}],"article_number":"5840","quality_controlled":"1","OA_type":"gold","abstract":[{"lang":"eng","text":"The brain vasculature supplies neurons with glucose and oxygen, but little is known about how vascular plasticity contributes to brain function. Using longitudinal in vivo imaging, we report that a substantial proportion of blood vessels in the adult mouse brain sporadically occlude and regress. Their regression proceeds through sequential stages of blood-flow occlusion, endothelial cell collapse, relocation or loss of pericytes, and retraction of glial endfeet. Regressing vessels are found to be widespread in mouse, monkey and human brains. We further reveal that blood vessel regression cause a reduction of neuronal activity due to a dysfunction in mitochondrial metabolism and glutamate production. Our results elucidate the mechanism of vessel regression and its role in neuronal function in the adult brain."}],"file":[{"file_size":17018106,"date_updated":"2025-07-07T09:52:46Z","file_id":"19971","creator":"dernst","access_level":"open_access","success":1,"content_type":"application/pdf","checksum":"f59748cb67232cfb210035d9aef60836","file_name":"2025_NatureComm_Gao.pdf","date_created":"2025-07-07T09:52:46Z","relation":"main_file"}],"article_type":"original","external_id":{"isi":["001523450500035"]},"status":"public","OA_place":"publisher","DOAJ_listed":"1","date_published":"2025-07-01T00:00:00Z","date_created":"2020-10-06T08:58:59Z","article_processing_charge":"Yes","ddc":["570"],"title":"Reduction of neuronal activity mediated by blood-vessel regression in the brain","_id":"8616","date_updated":"2025-09-04T07:08:37Z","month":"07","ec_funded":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","tmp":{"image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"type":"journal_article","doi":"10.1038/s41467-025-60308-0","oa_version":"Published Version","day":"01","has_accepted_license":"1","volume":16,"scopus_import":"1","project":[{"grant_number":"725780","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development","_id":"260018B0-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"department":[{"_id":"SiHi"}],"publication_status":"published","intvolume":"        16","citation":{"ama":"Gao X, Li J-L, Chen X, et al. Reduction of neuronal activity mediated by blood-vessel regression in the brain. <i>Nature Communications</i>. 2025;16. doi:<a href=\"https://doi.org/10.1038/s41467-025-60308-0\">10.1038/s41467-025-60308-0</a>","short":"X. Gao, J.-L. Li, X. Chen, B. Ci, F. Chen, N. Lu, B. Shen, L. Zheng, J.-M. Jia, Y. Yi, S. Zhang, Y.-C. Shi, K. Shi, N.E. Propson, Y. Huang, K. Poinsatte, Z. Zhang, Y. Yue, D.B. Bosco, Y. Lu, S. Yang, R.H. Adams, V. Lindner, F. Huang, L.-J. Wu, H. Zheng, F. Han, S. Hippenmeyer, A.M. Stowe, B. Peng, M. Margeta, X. Wang, Q. Liu, J. Körbelin, M. Trepel, H. Lu, B.O. Zhou, H. Zhao, W. Su, R.M. Bachoo, W. Ge, Nature Communications 16 (2025).","chicago":"Gao, Xiaofei, Jun-Liszt Li, Xingjun Chen, Bo Ci, Fei Chen, Nannan Lu, Bo Shen, et al. “Reduction of Neuronal Activity Mediated by Blood-Vessel Regression in the Brain.” <i>Nature Communications</i>. Springer Nature, 2025. <a href=\"https://doi.org/10.1038/s41467-025-60308-0\">https://doi.org/10.1038/s41467-025-60308-0</a>.","mla":"Gao, Xiaofei, et al. “Reduction of Neuronal Activity Mediated by Blood-Vessel Regression in the Brain.” <i>Nature Communications</i>, vol. 16, 5840, Springer Nature, 2025, doi:<a href=\"https://doi.org/10.1038/s41467-025-60308-0\">10.1038/s41467-025-60308-0</a>.","apa":"Gao, X., Li, J.-L., Chen, X., Ci, B., Chen, F., Lu, N., … Ge, W. (2025). Reduction of neuronal activity mediated by blood-vessel regression in the brain. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-025-60308-0\">https://doi.org/10.1038/s41467-025-60308-0</a>","ista":"Gao X, Li J-L, Chen X, Ci B, Chen F, Lu N, Shen B, Zheng L, Jia J-M, Yi Y, Zhang S, Shi Y-C, Shi K, Propson NE, Huang Y, Poinsatte K, Zhang Z, Yue Y, Bosco DB, Lu Y, Yang S, Adams RH, Lindner V, Huang F, Wu L-J, Zheng H, Han F, Hippenmeyer S, Stowe AM, Peng B, Margeta M, Wang X, Liu Q, Körbelin J, Trepel M, Lu H, Zhou BO, Zhao H, Su W, Bachoo RM, Ge W. 2025. Reduction of neuronal activity mediated by blood-vessel regression in the brain. Nature Communications. 16, 5840.","ieee":"X. Gao <i>et al.</i>, “Reduction of neuronal activity mediated by blood-vessel regression in the brain,” <i>Nature Communications</i>, vol. 16. Springer Nature, 2025."},"oa":1,"publisher":"Springer Nature"},{"acknowledgement":"We wish to thank all members of the Hippenmeyer laboratory at ISTA for exciting discussions on the subject of this review. We apologize to colleagues whose work we could not cite and/or discuss in the frame of the available space. Work in the Hippenmeyer laboratory on the discussed topic is supported by ISTA institutional funds, an EMBO LTF (ALTF 994–2023) to F.P, and FWF SFB F78 to S.H.","file_date_updated":"2025-12-30T08:25:49Z","publication_identifier":{"issn":["0959-4388"]},"publication":"Current Opinion in Neurobiology","language":[{"iso":"eng"}],"isi":1,"year":"2025","PlanS_conform":"1","quality_controlled":"1","author":[{"last_name":"Pipicelli","full_name":"Pipicelli, Fabrizia","first_name":"Fabrizia","id":"649134fd-d012-11ed-8f82-db1e5050f9ba"},{"last_name":"Villalba Requena","id":"68cb85a0-39f7-11eb-9559-9aaab4f6a247","first_name":"Ana","full_name":"Villalba Requena, Ana","orcid":"0000-0002-5615-5277"},{"last_name":"Hippenmeyer","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon"}],"article_number":"103046","file":[{"date_updated":"2025-12-30T08:25:49Z","file_size":1592649,"file_id":"20894","success":1,"creator":"dernst","access_level":"open_access","content_type":"application/pdf","file_name":"2025_CurrentOpNeurobiology_Pipicelli.pdf","checksum":"05bacb4acbe6275d43e873dec9ba1d52","date_created":"2025-12-30T08:25:49Z","relation":"main_file"}],"OA_type":"hybrid","abstract":[{"lang":"eng","text":"The cerebral cortex is arguably the most complex organ in humans. The cortical architecture is characterized by a remarkable diversity of neuronal and glial cell types that make up its neuronal circuits. Following a precise temporally ordered program, radial glia progenitor (RGP) cells generate all cortical excitatory projection neurons and glial cell-types. Cortical excitatory projection neurons are produced either directly or via intermediate progenitors, through indirect neurogenesis. How the extensive cortical cell-type diversity is generated during cortex development remains, however, a fundamental open question. How do RGPs quantitatively and qualitatively generate all the neocortical neurons? How does direct and indirect neurogenesis contribute to the establishment of neuronal and lineage heterogeneity? Whether RGPs represent a homogeneous and/or multipotent progenitor population, or if RGPs consist of heterogeneous groups is currently also not known. In this review, we will summarize the latest findings that contributed to a deeper insight into the above key questions."}],"article_type":"original","external_id":{"pmid":["40383049"],"isi":["001496227000001"]},"date_published":"2025-08-01T00:00:00Z","date_created":"2025-05-20T10:20:09Z","article_processing_charge":"Yes (via OA deal)","OA_place":"publisher","status":"public","corr_author":"1","title":"How radial glia progenitor lineages generate cell-type diversity in the developing cerebral cortex","ddc":["570"],"month":"08","_id":"19718","date_updated":"2025-12-30T10:54:14Z","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"pmid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.1016/j.conb.2025.103046","oa_version":"Published Version","day":"01","project":[{"_id":"059F6AB4-7A3F-11EA-A408-12923DDC885E","grant_number":"F7805","name":"Stem Cell Modulation in Neural Development and Regeneration/ P05-Molecular Mechanisms of Neural Stem Cell Lineage Progression"},{"_id":"7c084566-9f16-11ee-852c-c88a1dbbf1cf","name":"Role of cell lineage in generating cell-type diversity in developing neocortex’","grant_number":"ALTF 994-2023"}],"has_accepted_license":"1","volume":93,"scopus_import":"1","intvolume":"        93","department":[{"_id":"SiHi"}],"publication_status":"published","publisher":"Elsevier","citation":{"ieee":"F. Pipicelli, A. Villalba Requena, and S. Hippenmeyer, “How radial glia progenitor lineages generate cell-type diversity in the developing cerebral cortex,” <i>Current Opinion in Neurobiology</i>, vol. 93. Elsevier, 2025.","ista":"Pipicelli F, Villalba Requena A, Hippenmeyer S. 2025. How radial glia progenitor lineages generate cell-type diversity in the developing cerebral cortex. Current Opinion in Neurobiology. 93, 103046.","apa":"Pipicelli, F., Villalba Requena, A., &#38; Hippenmeyer, S. (2025). How radial glia progenitor lineages generate cell-type diversity in the developing cerebral cortex. <i>Current Opinion in Neurobiology</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.conb.2025.103046\">https://doi.org/10.1016/j.conb.2025.103046</a>","mla":"Pipicelli, Fabrizia, et al. “How Radial Glia Progenitor Lineages Generate Cell-Type Diversity in the Developing Cerebral Cortex.” <i>Current Opinion in Neurobiology</i>, vol. 93, 103046, Elsevier, 2025, doi:<a href=\"https://doi.org/10.1016/j.conb.2025.103046\">10.1016/j.conb.2025.103046</a>.","chicago":"Pipicelli, Fabrizia, Ana Villalba Requena, and Simon Hippenmeyer. “How Radial Glia Progenitor Lineages Generate Cell-Type Diversity in the Developing Cerebral Cortex.” <i>Current Opinion in Neurobiology</i>. Elsevier, 2025. <a href=\"https://doi.org/10.1016/j.conb.2025.103046\">https://doi.org/10.1016/j.conb.2025.103046</a>.","ama":"Pipicelli F, Villalba Requena A, Hippenmeyer S. How radial glia progenitor lineages generate cell-type diversity in the developing cerebral cortex. <i>Current Opinion in Neurobiology</i>. 2025;93. doi:<a href=\"https://doi.org/10.1016/j.conb.2025.103046\">10.1016/j.conb.2025.103046</a>","short":"F. Pipicelli, A. Villalba Requena, S. Hippenmeyer, Current Opinion in Neurobiology 93 (2025)."},"oa":1},{"department":[{"_id":"SiHi"}],"publication_status":"submitted","citation":{"ama":"Cárdenas A, Çelik I, Espinós A, et al. Early indirect neurogenesis transitions to late direct neurogenesis in mouse cerebral cortex development. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2025.05.22.655488\">10.1101/2025.05.22.655488</a>","short":"A. Cárdenas, I. Çelik, A. Espinós, C. Streicher, L. López-González, L. del-Valle-Anton, V. Fernández, S. Amin, E. Negri, E.F. Ortuño, S. Hippenmeyer, V. Borrell, BioRxiv (n.d.).","chicago":"Cárdenas, Adrián, Irem Çelik, Alexandre Espinós, Carmen Streicher, Lara López-González, Lucia del-Valle-Anton, Virginia Fernández, et al. “Early Indirect Neurogenesis Transitions to Late Direct Neurogenesis in Mouse Cerebral Cortex Development.” <i>BioRxiv</i>, n.d. <a href=\"https://doi.org/10.1101/2025.05.22.655488\">https://doi.org/10.1101/2025.05.22.655488</a>.","mla":"Cárdenas, Adrián, et al. “Early Indirect Neurogenesis Transitions to Late Direct Neurogenesis in Mouse Cerebral Cortex Development.” <i>BioRxiv</i>, doi:<a href=\"https://doi.org/10.1101/2025.05.22.655488\">10.1101/2025.05.22.655488</a>.","ista":"Cárdenas A, Çelik I, Espinós A, Streicher C, López-González L, del-Valle-Anton L, Fernández V, Amin S, Negri E, Ortuño EF, Hippenmeyer S, Borrell V. Early indirect neurogenesis transitions to late direct neurogenesis in mouse cerebral cortex development. bioRxiv, <a href=\"https://doi.org/10.1101/2025.05.22.655488\">10.1101/2025.05.22.655488</a>.","ieee":"A. Cárdenas <i>et al.</i>, “Early indirect neurogenesis transitions to late direct neurogenesis in mouse cerebral cortex development,” <i>bioRxiv</i>. .","apa":"Cárdenas, A., Çelik, I., Espinós, A., Streicher, C., López-González, L., del-Valle-Anton, L., … Borrell, V. (n.d.). Early indirect neurogenesis transitions to late direct neurogenesis in mouse cerebral cortex development. <i>bioRxiv</i>. <a href=\"https://doi.org/10.1101/2025.05.22.655488\">https://doi.org/10.1101/2025.05.22.655488</a>"},"status":"public","OA_place":"repository","oa":1,"date_published":"2025-05-23T00:00:00Z","date_created":"2025-05-29T10:45:55Z","article_processing_charge":"No","doi":"10.1101/2025.05.22.655488","main_file_link":[{"url":"https://doi.org/10.1101/2025.05.22.655488","open_access":"1"}],"oa_version":"Preprint","day":"23","OA_type":"green","abstract":[{"lang":"eng","text":"The cerebral cortex must contain the appropriate numbers of neurons in each layer to acquire its proper functional organization. Accordingly, neurogenesis requires precise regulation along development. Cortical neurons are made either directly by Radial Glia Cells (RGCs) that self- consume, or indirectly from RGCs via Intermediate Progenitor Cells (IPCs) and largely preserving the RGC pool. According to the standing model of cortical development, Direct Neurogenesis predominates at early stages of development, and progressively shifts to Indirect Neurogenesis, which predominates at late stages. However, neurogenesis at early stages should be compatible with RGC amplification, and neurogenesis at late stages needs to involve RGC consumption, which seems in conflict with the standing model. Here we studied the modes of neurogenesis along cortical development using multiple approaches, including birthdating, live imaging and MADM clone labeling. Contrary to the established dogma, our data show that Indirect Neurogenesis clearly predominates at early developmental stages, gradually shifting to Direct Neurogenesis at late stages. These findings challenge the current model of cortical neurogenesis, and prompt a re-evaluation of previous and ongoing work about the genetic and molecular mechanisms regulating this process."}],"project":[{"grant_number":"F7805","name":"Stem Cell Modulation in Neural Development and Regeneration/ P05-Molecular Mechanisms of Neural Stem Cell Lineage Progression","_id":"059F6AB4-7A3F-11EA-A408-12923DDC885E"}],"tmp":{"image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"author":[{"full_name":"Cárdenas, Adrián","first_name":"Adrián","last_name":"Cárdenas"},{"first_name":"Irem","full_name":"Çelik, Irem","last_name":"Çelik"},{"first_name":"Alexandre","full_name":"Espinós, Alexandre","last_name":"Espinós"},{"last_name":"Streicher","id":"36BCB99C-F248-11E8-B48F-1D18A9856A87","first_name":"Carmen","full_name":"Streicher, Carmen"},{"last_name":"López-González","full_name":"López-González, Lara","first_name":"Lara"},{"last_name":"del-Valle-Anton","full_name":"del-Valle-Anton, Lucia","first_name":"Lucia"},{"last_name":"Fernández","full_name":"Fernández, Virginia","first_name":"Virginia"},{"first_name":"Salma","full_name":"Amin, Salma","last_name":"Amin"},{"full_name":"Negri, Enrico","first_name":"Enrico","last_name":"Negri"},{"full_name":"Ortuño, Eduardo Fernández","first_name":"Eduardo Fernández","last_name":"Ortuño"},{"last_name":"Hippenmeyer","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Borrell","first_name":"Víctor","full_name":"Borrell, Víctor"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"preprint","title":"Early indirect neurogenesis transitions to late direct neurogenesis in mouse cerebral cortex development","acknowledgement":"We thank A. Iñigo for assistance with imaging, and members of the Borrell and Herrera labs for\r\ninsightful discussions and critical reading of the manuscript. Funding to our lab members was\r\nprovided by the Spanish Research Agency (AEI): FPI contract (BES-2016-077737) to L.dV.A., FPI SO contract (SEV-2017-0723-18-1) to A.E., JdC-Incorporación contract (IJC2020-044653-I) to V.F., and JAE-Intro fellowship (JAEICU23EX_0071) to I.C., as well as by La Caixa Foundation: La Caixa-Severo Ochoa fellowship (E-03-2016-0557140) to S.A., INPhINIT-Retaining fellowship (LCF/BQ/DR21/11880012) to E.F.O., INPhINIT-Incoming fellowship (LCF/BQ/DI22/11940006) to E.N., and Junior Leader-Retaining grant to A.C. (LCF/BQ/PR23/11980051). Work was supported by grants from FWF (SFB F78) to S.H.; AEI (PID2021-125618NB-I00) and European Research Council (101118729) to V.B., who also acknowledges financial support from AEI through the “Severo Ochoa” Programme for Centers of Excellence in R&D (CEX2021-001165-S).","publication":"bioRxiv","_id":"19762","language":[{"iso":"eng"}],"year":"2025","date_updated":"2025-12-30T10:54:12Z","month":"05"},{"project":[{"grant_number":"24812","name":"Molecular mechanisms of radial neuronal migration","_id":"2625A13E-B435-11E9-9278-68D0E5697425"}],"scopus_import":"1","has_accepted_license":"1","volume":5,"oa_version":"Published Version","day":"15","doi":"10.1016/j.xpro.2023.102795","publisher":"Elsevier","oa":1,"citation":{"short":"A.H. Hansen, S. Hippenmeyer, STAR Protocols 5 (2024).","ama":"Hansen AH, Hippenmeyer S. Time-lapse imaging of cortical projection neuron migration in mice using mosaic analysis with double markers. <i>STAR Protocols</i>. 2024;5(1). doi:<a href=\"https://doi.org/10.1016/j.xpro.2023.102795\">10.1016/j.xpro.2023.102795</a>","chicago":"Hansen, Andi H, and Simon Hippenmeyer. “Time-Lapse Imaging of Cortical Projection Neuron Migration in Mice Using Mosaic Analysis with Double Markers.” <i>STAR Protocols</i>. Elsevier, 2024. <a href=\"https://doi.org/10.1016/j.xpro.2023.102795\">https://doi.org/10.1016/j.xpro.2023.102795</a>.","ieee":"A. H. Hansen and S. Hippenmeyer, “Time-lapse imaging of cortical projection neuron migration in mice using mosaic analysis with double markers,” <i>STAR Protocols</i>, vol. 5, no. 1. Elsevier, 2024.","ista":"Hansen AH, Hippenmeyer S. 2024. Time-lapse imaging of cortical projection neuron migration in mice using mosaic analysis with double markers. STAR Protocols. 5(1), 102795.","apa":"Hansen, A. H., &#38; Hippenmeyer, S. (2024). Time-lapse imaging of cortical projection neuron migration in mice using mosaic analysis with double markers. <i>STAR Protocols</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.xpro.2023.102795\">https://doi.org/10.1016/j.xpro.2023.102795</a>","mla":"Hansen, Andi H., and Simon Hippenmeyer. “Time-Lapse Imaging of Cortical Projection Neuron Migration in Mice Using Mosaic Analysis with Double Markers.” <i>STAR Protocols</i>, vol. 5, no. 1, 102795, Elsevier, 2024, doi:<a href=\"https://doi.org/10.1016/j.xpro.2023.102795\">10.1016/j.xpro.2023.102795</a>."},"intvolume":"         5","publication_status":"published","department":[{"_id":"SiHi"}],"month":"03","date_updated":"2025-04-15T07:32:40Z","_id":"14794","corr_author":"1","ddc":["570"],"title":"Time-lapse imaging of cortical projection neuron migration in mice using mosaic analysis with double markers","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","pmid":1,"file":[{"relation":"main_file","checksum":"4644d537451c5c114a9d7c7829b65bba","file_name":"2024_STARProtoc_Hansen.pdf","date_created":"2024-07-16T12:04:46Z","access_level":"open_access","creator":"dernst","success":1,"content_type":"application/pdf","file_size":3758943,"date_updated":"2024-07-16T12:04:46Z","file_id":"17264"}],"abstract":[{"text":"Mosaic analysis with double markers (MADM) technology enables the sparse labeling of genetically defined neurons. We present a protocol for time-lapse imaging of cortical projection neuron migration in mice using MADM. We describe steps for the isolation, culturing, and 4D imaging of neuronal dynamics in MADM-labeled brain tissue. While this protocol is compatible with other single-cell labeling methods, the MADM approach provides a genetic platform for the functional assessment of cell-autonomous candidate gene function and the relative contribution of non-cell-autonomous effects.\r\n\r\nFor complete details on the use and execution of this protocol, please refer to Hansen et al. (2022),1 Contreras et al. (2021),2 and Amberg and Hippenmeyer (2021).3","lang":"eng"}],"article_processing_charge":"Yes","date_published":"2024-03-15T00:00:00Z","date_created":"2024-01-14T23:00:56Z","status":"public","related_material":{"link":[{"relation":"software","url":"http://github.com/hippenmeyerlab"}]},"external_id":{"pmid":["38165800"]},"article_type":"review","publication_identifier":{"eissn":["2666-1667"]},"year":"2024","publication":"STAR Protocols","language":[{"iso":"eng"}],"acknowledgement":"We thank Florian Pauler for discussion and his expert technical support. This research was supported by the Scientific Service Units (SSU) at IST Austria through resources provided by the Imaging and Optics Facility (IOF) and Preclinical Facility (PCF). A.H.H. was a recipient of a DOC Fellowship (24812) of the Austrian Academy of Sciences.","file_date_updated":"2024-07-16T12:04:46Z","quality_controlled":"1","article_number":"102795","issue":"1","author":[{"last_name":"Hansen","first_name":"Andi H","id":"38853E16-F248-11E8-B48F-1D18A9856A87","full_name":"Hansen, Andi H"},{"full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","last_name":"Hippenmeyer"}],"acknowledged_ssus":[{"_id":"Bio"},{"_id":"PreCl"}]},{"acknowledgement":"We thank Liqun Luo for his continued support, for providing essential resources for generating Fzd10-CreER mice which were generated in his laboratory, and for comments on the manuscript; W. Zhong for providing Nestin-Cre transgenic mouse line for this study; A. Heger for mouse colony management; R. Beattie and T. Asenov for designing and producing components of acute slice recovery chamber for MADM-CloneSeq experiments; and K. Leopold, J. Rodarte and N. Amberg for initial experiments, technical support and/or assistance. This study was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by the Imaging & Optics Facility (IOF), Laboratory Support Facility (LSF), Miba Machine Shop, and Pre-clinical Facility (PCF). G.C. received funding from European Commission (IST plus postdoctoral fellowship). This work was supported by ISTA institutional\r\nfunds; the Austrian Science Fund Special Research Programmes (FWF SFB F78 Neuro Stem Modulation) to S.H. ","file_date_updated":"2024-02-06T13:56:15Z","language":[{"iso":"eng"}],"year":"2024","isi":1,"publication":"Neuron","publication_identifier":{"issn":["0896-6273"]},"acknowledged_ssus":[{"_id":"Bio"},{"_id":"M-Shop"},{"_id":"LifeSc"},{"_id":"PreCl"}],"issue":"2","author":[{"orcid":"0000-0001-8457-2572","full_name":"Cheung, Giselle T","first_name":"Giselle T","id":"471195F6-F248-11E8-B48F-1D18A9856A87","last_name":"Cheung"},{"full_name":"Pauler, Florian","orcid":"0000-0002-7462-0048","first_name":"Florian","id":"48EA0138-F248-11E8-B48F-1D18A9856A87","last_name":"Pauler"},{"id":"3B8B25A8-F248-11E8-B48F-1D18A9856A87","first_name":"Peter","orcid":"0000-0002-3509-1948","full_name":"Koppensteiner, Peter","last_name":"Koppensteiner"},{"first_name":"Thomas","full_name":"Krausgruber, Thomas","last_name":"Krausgruber"},{"last_name":"Streicher","full_name":"Streicher, Carmen","first_name":"Carmen","id":"36BCB99C-F248-11E8-B48F-1D18A9856A87"},{"id":"f13e7cae-e8bd-11ed-841a-96dedf69f46d","first_name":"Martin","full_name":"Schrammel, Martin","last_name":"Schrammel"},{"id":"e68ece33-f6e0-11ea-865d-ae1031dcc090","first_name":"Natalie Y","full_name":"Özgen, Natalie Y","last_name":"Özgen"},{"last_name":"Ivec","full_name":"Ivec, Alexis","first_name":"Alexis","id":"1d144691-e8be-11ed-9b33-bdd3077fad4c"},{"full_name":"Bock, Christoph","first_name":"Christoph","last_name":"Bock"},{"last_name":"Shigemoto","orcid":"0000-0001-8761-9444","full_name":"Shigemoto, Ryuichi","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","first_name":"Ryuichi"},{"orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","last_name":"Hippenmeyer"}],"quality_controlled":"1","page":"230-246.e11","abstract":[{"lang":"eng","text":"The superior colliculus (SC) in the mammalian midbrain is essential for multisensory integration and is composed of a rich diversity of excitatory and inhibitory neurons and glia. However, the developmental principles directing the generation of SC cell-type diversity are not understood. Here, we pursued systematic cell lineage tracing in silico and in vivo, preserving full spatial information, using genetic mosaic analysis with double markers (MADM)-based clonal analysis with single-cell sequencing (MADM-CloneSeq). The analysis of clonally related cell lineages revealed that radial glial progenitors (RGPs) in SC are exceptionally multipotent. Individual resident RGPs have the capacity to produce all excitatory and inhibitory SC neuron types, even at the stage of terminal division. While individual clonal units show no pre-defined cellular composition, the establishment of appropriate relative proportions of distinct neuronal types occurs in a PTEN-dependent manner. Collectively, our findings provide an inaugural framework at the single-RGP/-cell level of the mammalian SC ontogeny."}],"file":[{"file_id":"14944","file_size":5942467,"date_updated":"2024-02-06T13:56:15Z","content_type":"application/pdf","access_level":"open_access","creator":"dernst","success":1,"date_created":"2024-02-06T13:56:15Z","checksum":"32b3788f7085cf44a84108d8faaff3ce","file_name":"2024_Neuron_Cheung.pdf","relation":"main_file"}],"article_type":"original","external_id":{"isi":["001163937900001"],"pmid":["38096816"]},"related_material":{"link":[{"description":"News on ISTA Website","relation":"press_release","url":"https://ista.ac.at/en/news/the-pedigree-of-brain-cells/"}]},"status":"public","date_created":"2023-04-27T09:41:48Z","date_published":"2024-01-17T00:00:00Z","article_processing_charge":"Yes (via OA deal)","ddc":["570"],"title":"Multipotent progenitors instruct ontogeny of the superior colliculus","corr_author":"1","_id":"12875","date_updated":"2025-12-30T10:54:12Z","month":"01","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"pmid":1,"type":"journal_article","doi":"10.1016/j.neuron.2023.11.009","day":"17","oa_version":"Published Version","scopus_import":"1","has_accepted_license":"1","volume":112,"project":[{"_id":"059F6AB4-7A3F-11EA-A408-12923DDC885E","grant_number":"F7805","name":"Stem Cell Modulation in Neural Development and Regeneration/ P05-Molecular Mechanisms of Neural Stem Cell Lineage Progression"}],"department":[{"_id":"SiHi"},{"_id":"RySh"}],"publication_status":"published","intvolume":"       112","citation":{"chicago":"Cheung, Giselle T, Florian Pauler, Peter Koppensteiner, Thomas Krausgruber, Carmen Streicher, Martin Schrammel, Natalie Y Özgen, et al. “Multipotent Progenitors Instruct Ontogeny of the Superior Colliculus.” <i>Neuron</i>. Elsevier, 2024. <a href=\"https://doi.org/10.1016/j.neuron.2023.11.009\">https://doi.org/10.1016/j.neuron.2023.11.009</a>.","short":"G.T. Cheung, F. Pauler, P. Koppensteiner, T. Krausgruber, C. Streicher, M. Schrammel, N.Y. Özgen, A. Ivec, C. Bock, R. Shigemoto, S. Hippenmeyer, Neuron 112 (2024) 230–246.e11.","ama":"Cheung GT, Pauler F, Koppensteiner P, et al. Multipotent progenitors instruct ontogeny of the superior colliculus. <i>Neuron</i>. 2024;112(2):230-246.e11. doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.11.009\">10.1016/j.neuron.2023.11.009</a>","mla":"Cheung, Giselle T., et al. “Multipotent Progenitors Instruct Ontogeny of the Superior Colliculus.” <i>Neuron</i>, vol. 112, no. 2, Elsevier, 2024, p. 230–246.e11, doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.11.009\">10.1016/j.neuron.2023.11.009</a>.","apa":"Cheung, G. T., Pauler, F., Koppensteiner, P., Krausgruber, T., Streicher, C., Schrammel, M., … Hippenmeyer, S. (2024). Multipotent progenitors instruct ontogeny of the superior colliculus. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2023.11.009\">https://doi.org/10.1016/j.neuron.2023.11.009</a>","ista":"Cheung GT, Pauler F, Koppensteiner P, Krausgruber T, Streicher C, Schrammel M, Özgen NY, Ivec A, Bock C, Shigemoto R, Hippenmeyer S. 2024. Multipotent progenitors instruct ontogeny of the superior colliculus. Neuron. 112(2), 230–246.e11.","ieee":"G. T. Cheung <i>et al.</i>, “Multipotent progenitors instruct ontogeny of the superior colliculus,” <i>Neuron</i>, vol. 112, no. 2. Elsevier, p. 230–246.e11, 2024."},"oa":1,"publisher":"Elsevier"},{"ec_funded":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"pmid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"journal_article","title":"Protocol for sorting cells from mouse brains labeled with mosaic analysis with double markers by flow cytometry","ddc":["570"],"corr_author":"1","date_updated":"2025-04-15T08:23:06Z","_id":"14683","month":"03","publication_status":"published","department":[{"_id":"SiHi"}],"keyword":["General Immunology and Microbiology","General Biochemistry","Genetics and Molecular Biology","General Neuroscience"],"intvolume":"         5","oa":1,"citation":{"short":"N. Amberg, G.T. Cheung, S. Hippenmeyer, STAR Protocols 5 (2024).","ama":"Amberg N, Cheung GT, Hippenmeyer S. Protocol for sorting cells from mouse brains labeled with mosaic analysis with double markers by flow cytometry. <i>STAR Protocols</i>. 2024;5(1). doi:<a href=\"https://doi.org/10.1016/j.xpro.2023.102771\">10.1016/j.xpro.2023.102771</a>","chicago":"Amberg, Nicole, Giselle T Cheung, and Simon Hippenmeyer. “Protocol for Sorting Cells from Mouse Brains Labeled with Mosaic Analysis with Double Markers by Flow Cytometry.” <i>STAR Protocols</i>. Elsevier, 2024. <a href=\"https://doi.org/10.1016/j.xpro.2023.102771\">https://doi.org/10.1016/j.xpro.2023.102771</a>.","mla":"Amberg, Nicole, et al. “Protocol for Sorting Cells from Mouse Brains Labeled with Mosaic Analysis with Double Markers by Flow Cytometry.” <i>STAR Protocols</i>, vol. 5, no. 1, 102771, Elsevier, 2024, doi:<a href=\"https://doi.org/10.1016/j.xpro.2023.102771\">10.1016/j.xpro.2023.102771</a>.","ista":"Amberg N, Cheung GT, Hippenmeyer S. 2024. Protocol for sorting cells from mouse brains labeled with mosaic analysis with double markers by flow cytometry. STAR Protocols. 5(1), 102771.","apa":"Amberg, N., Cheung, G. T., &#38; Hippenmeyer, S. (2024). Protocol for sorting cells from mouse brains labeled with mosaic analysis with double markers by flow cytometry. <i>STAR Protocols</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.xpro.2023.102771\">https://doi.org/10.1016/j.xpro.2023.102771</a>","ieee":"N. Amberg, G. T. Cheung, and S. Hippenmeyer, “Protocol for sorting cells from mouse brains labeled with mosaic analysis with double markers by flow cytometry,” <i>STAR Protocols</i>, vol. 5, no. 1. Elsevier, 2024."},"publisher":"Elsevier","oa_version":"Published Version","day":"15","doi":"10.1016/j.xpro.2023.102771","volume":5,"scopus_import":"1","has_accepted_license":"1","project":[{"grant_number":"T01031","name":"Role of Eed in neural stem cell lineage progression","call_identifier":"FWF","_id":"268F8446-B435-11E9-9278-68D0E5697425"},{"_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"ISTplus - Postdoctoral Fellowships","grant_number":"754411"},{"grant_number":"F7805","name":"Stem Cell Modulation in Neural Development and Regeneration/ P05-Molecular Mechanisms of Neural Stem Cell Lineage Progression","_id":"059F6AB4-7A3F-11EA-A408-12923DDC885E"},{"_id":"260018B0-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"725780","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development"}],"acknowledged_ssus":[{"_id":"Bio"},{"_id":"PreCl"}],"article_number":"102771","issue":"1","author":[{"last_name":"Amberg","id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","first_name":"Nicole","full_name":"Amberg, Nicole","orcid":"0000-0002-3183-8207"},{"id":"471195F6-F248-11E8-B48F-1D18A9856A87","first_name":"Giselle T","orcid":"0000-0001-8457-2572","full_name":"Cheung, Giselle T","last_name":"Cheung"},{"first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061","last_name":"Hippenmeyer"}],"quality_controlled":"1","file_date_updated":"2024-07-16T11:50:03Z","acknowledgement":"This research was supported by the Scientific Service Units (SSU) at IST Austria through resources provided by the Imaging & Optics Facility (IOF) and Preclinical Facilities (PCF). N.A. received support from FWF Firnberg-Programme (T 1031). G.C. received support from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 754411 as an ISTplus postdoctoral fellow. This work was also supported by IST Austria institutional funds, FWF SFB F78 to S.H., and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 725780 LinPro) to S.H.","year":"2024","language":[{"iso":"eng"}],"publication":"STAR Protocols","publication_identifier":{"issn":["2666-1667"]},"external_id":{"pmid":["38070137"]},"article_type":"review","status":"public","article_processing_charge":"Yes (in subscription journal)","date_published":"2024-03-15T00:00:00Z","date_created":"2023-12-13T11:48:05Z","abstract":[{"text":"Mosaic analysis with double markers (MADM) technology enables the generation of genetic mosaic tissue in mice and high-resolution phenotyping at the individual cell level. Here, we present a protocol for isolating MADM-labeled cells with high yield for downstream molecular analyses using fluorescence-activated cell sorting (FACS). We describe steps for generating MADM-labeled mice, perfusion, single-cell suspension, and debris removal. We then detail procedures for cell sorting by FACS and downstream analysis. This protocol is suitable for embryonic to adult mice.\r\nFor complete details on the use and execution of this protocol, please refer to Contreras et al. (2021).1","lang":"eng"}],"file":[{"content_type":"application/pdf","access_level":"open_access","creator":"dernst","success":1,"file_id":"17260","file_size":8871807,"date_updated":"2024-07-16T11:50:03Z","relation":"main_file","date_created":"2024-07-16T11:50:03Z","checksum":"3f0ee62e04bf5a44b45b035662826e95","file_name":"2024_STARProtoc_Amberg.pdf"}]},{"doi":"10.1016/j.xpro.2024.103157","day":"20","oa_version":"Published Version","project":[{"call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425","name":"ISTplus - Postdoctoral Fellowships","grant_number":"754411"},{"grant_number":"F7805","name":"Stem Cell Modulation in Neural Development and Regeneration/ P05-Molecular Mechanisms of Neural Stem Cell Lineage Progression","_id":"059F6AB4-7A3F-11EA-A408-12923DDC885E"}],"volume":5,"scopus_import":"1","has_accepted_license":"1","intvolume":"         5","department":[{"_id":"SiHi"}],"publication_status":"published","publisher":"Elsevier","citation":{"short":"G.T. Cheung, C. Streicher, S. Hippenmeyer, STAR Protocols 5 (2024).","ama":"Cheung GT, Streicher C, Hippenmeyer S. Protocol for quantitative reconstruction of cell lineage using mosaic analysis with double markers in mice. <i>STAR Protocols</i>. 2024;5(3). doi:<a href=\"https://doi.org/10.1016/j.xpro.2024.103157\">10.1016/j.xpro.2024.103157</a>","chicago":"Cheung, Giselle T, Carmen Streicher, and Simon Hippenmeyer. “Protocol for Quantitative Reconstruction of Cell Lineage Using Mosaic Analysis with Double Markers in Mice.” <i>STAR Protocols</i>. Elsevier, 2024. <a href=\"https://doi.org/10.1016/j.xpro.2024.103157\">https://doi.org/10.1016/j.xpro.2024.103157</a>.","ista":"Cheung GT, Streicher C, Hippenmeyer S. 2024. Protocol for quantitative reconstruction of cell lineage using mosaic analysis with double markers in mice. STAR Protocols. 5(3), 103157.","ieee":"G. T. Cheung, C. Streicher, and S. Hippenmeyer, “Protocol for quantitative reconstruction of cell lineage using mosaic analysis with double markers in mice,” <i>STAR Protocols</i>, vol. 5, no. 3. Elsevier, 2024.","apa":"Cheung, G. T., Streicher, C., &#38; Hippenmeyer, S. (2024). Protocol for quantitative reconstruction of cell lineage using mosaic analysis with double markers in mice. <i>STAR Protocols</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.xpro.2024.103157\">https://doi.org/10.1016/j.xpro.2024.103157</a>","mla":"Cheung, Giselle T., et al. “Protocol for Quantitative Reconstruction of Cell Lineage Using Mosaic Analysis with Double Markers in Mice.” <i>STAR Protocols</i>, vol. 5, no. 3, 103157, Elsevier, 2024, doi:<a href=\"https://doi.org/10.1016/j.xpro.2024.103157\">10.1016/j.xpro.2024.103157</a>."},"oa":1,"corr_author":"1","title":"Protocol for quantitative reconstruction of cell lineage using mosaic analysis with double markers in mice","APC_amount":"804 EUR","ddc":["570"],"month":"09","_id":"17187","date_updated":"2025-12-30T10:54:11Z","ec_funded":1,"type":"journal_article","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","tmp":{"image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"pmid":1,"file":[{"relation":"main_file","checksum":"d8a8cdba82a394e731aa699ace1ae433","file_name":"2024_STARProtoc_Cheung.pdf","date_created":"2025-01-09T12:12:40Z","creator":"dernst","access_level":"open_access","success":1,"content_type":"application/pdf","file_size":5186071,"date_updated":"2025-01-09T12:12:40Z","file_id":"18809"}],"OA_type":"gold","abstract":[{"text":"The generation of diverse cell types during development is fundamental to brain\r\nfunctions. We outline a protocol to quantitatively assess the clonal output of individual neural progenitors using mosaic analysis with double markers (MADM) in\r\nmice. We first describe steps to acquire and reconstruct adult MADM clones in\r\nthe superior colliculus. Then we detail analysis pipelines to determine clonal\r\ncomposition and architecture. This protocol enables the buildup of quantitative\r\nframeworks of lineage progression with precise spatial resolution in the brain.\r\nFor complete details on the use and execution of this protocol, please refer to\r\nCheung et al.1","lang":"eng"}],"article_type":"original","external_id":{"pmid":["38935508"]},"date_published":"2024-09-20T00:00:00Z","date_created":"2024-06-30T22:01:04Z","article_processing_charge":"Yes","OA_place":"publisher","status":"public","file_date_updated":"2025-01-09T12:12:40Z","acknowledgement":"We thank A. Heger for mouse breeding support. This work was supported by the Scientific Service Units of IST Austria through resources provided by the Imaging & Optics and Preclinical facilities. G.C. received funding from the European Commission (IST plus postdoctoral fellowship); S.H. was funded by ISTA institutional funds and the Austrian Science Fund Special Research Programmes (FWF SFB-F78 Neuro Stem Modulation).","publication_identifier":{"eissn":["2666-1667"]},"language":[{"iso":"eng"}],"year":"2024","publication":"STAR Protocols","acknowledged_ssus":[{"_id":"Bio"},{"_id":"PreCl"}],"quality_controlled":"1","author":[{"last_name":"Cheung","id":"471195F6-F248-11E8-B48F-1D18A9856A87","first_name":"Giselle T","full_name":"Cheung, Giselle T","orcid":"0000-0001-8457-2572"},{"last_name":"Streicher","id":"36BCB99C-F248-11E8-B48F-1D18A9856A87","first_name":"Carmen","full_name":"Streicher, Carmen"},{"id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","last_name":"Hippenmeyer"}],"issue":"3","article_number":"103157"},{"OA_place":"publisher","status":"public","article_processing_charge":"Yes","date_created":"2024-07-14T22:01:10Z","date_published":"2024-09-20T00:00:00Z","external_id":{"pmid":["38968076"]},"article_type":"original","abstract":[{"lang":"eng","text":"The lineage relationship of clonally-related cells offers important insights into the ontogeny and cytoarchitecture of the brain in health and disease. Here, we provide a protocol to concurrently assess cell lineage relationship and cell-type identity among clonally-related cells in situ. We first describe the preparation and screening of acute brain slices containing clonally-related cells labeled using mosaic analysis with double markers (MADM). We then outline steps to collect RNA from individual cells for downstream applications and cell-type identification using RNA sequencing.\r\nFor complete details on the use and execution of this protocol, please refer to Cheung et al.\r\n1"}],"OA_type":"gold","file":[{"content_type":"application/pdf","access_level":"open_access","creator":"dernst","success":1,"file_id":"18810","file_size":6445556,"date_updated":"2025-01-09T12:16:53Z","relation":"main_file","date_created":"2025-01-09T12:16:53Z","file_name":"2024_STARProtoc_Cheung2.pdf","checksum":"464f52ecc6ec92f509552823bb82bf79"}],"article_number":"103168","author":[{"last_name":"Cheung","first_name":"Giselle T","id":"471195F6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8457-2572","full_name":"Cheung, Giselle T"},{"first_name":"Florian","id":"48EA0138-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7462-0048","full_name":"Pauler, Florian","last_name":"Pauler"},{"last_name":"Koppensteiner","id":"3B8B25A8-F248-11E8-B48F-1D18A9856A87","first_name":"Peter","orcid":"0000-0002-3509-1948","full_name":"Koppensteiner, Peter"},{"orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","last_name":"Hippenmeyer"}],"issue":"3","quality_controlled":"1","acknowledged_ssus":[{"_id":"Bio"},{"_id":"M-Shop"},{"_id":"PreCl"}],"year":"2024","language":[{"iso":"eng"}],"publication":"STAR Protocols","publication_identifier":{"eissn":["2666-1667"]},"acknowledgement":"We thank R. Beattie and T. Asenov for designing and producing components of the multi-well slice recover chamber. We thank R. Shigemoto for providing equipment access. We thank C. Streicher and A. Heger for mouse breeding support. This work was supported by the Scientific Service Units of IST Austria through resources provided by the Imaging & Optics, Miba Machine Shop, and Preclinical facilities. G.C. received funding from the European Commission (IST plus postdoctoral fellowship) and S.H. was funded by ISTA institutional funds and the Austrian Science Fund Special Research Programmes (FWF SFB-F78 Neuro Stem Modulation).","file_date_updated":"2025-01-09T12:16:53Z","oa":1,"citation":{"ieee":"G. T. Cheung, F. Pauler, P. Koppensteiner, and S. Hippenmeyer, “Protocol for mapping cell lineage and cell-type identity of clonally-related cells in situ using MADM-CloneSeq,” <i>STAR Protocols</i>, vol. 5, no. 3. Elsevier, 2024.","ista":"Cheung GT, Pauler F, Koppensteiner P, Hippenmeyer S. 2024. Protocol for mapping cell lineage and cell-type identity of clonally-related cells in situ using MADM-CloneSeq. STAR Protocols. 5(3), 103168.","apa":"Cheung, G. T., Pauler, F., Koppensteiner, P., &#38; Hippenmeyer, S. (2024). Protocol for mapping cell lineage and cell-type identity of clonally-related cells in situ using MADM-CloneSeq. <i>STAR Protocols</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.xpro.2024.103168\">https://doi.org/10.1016/j.xpro.2024.103168</a>","mla":"Cheung, Giselle T., et al. “Protocol for Mapping Cell Lineage and Cell-Type Identity of Clonally-Related Cells in Situ Using MADM-CloneSeq.” <i>STAR Protocols</i>, vol. 5, no. 3, 103168, Elsevier, 2024, doi:<a href=\"https://doi.org/10.1016/j.xpro.2024.103168\">10.1016/j.xpro.2024.103168</a>.","short":"G.T. Cheung, F. Pauler, P. Koppensteiner, S. Hippenmeyer, STAR Protocols 5 (2024).","ama":"Cheung GT, Pauler F, Koppensteiner P, Hippenmeyer S. Protocol for mapping cell lineage and cell-type identity of clonally-related cells in situ using MADM-CloneSeq. <i>STAR Protocols</i>. 2024;5(3). doi:<a href=\"https://doi.org/10.1016/j.xpro.2024.103168\">10.1016/j.xpro.2024.103168</a>","chicago":"Cheung, Giselle T, Florian Pauler, Peter Koppensteiner, and Simon Hippenmeyer. “Protocol for Mapping Cell Lineage and Cell-Type Identity of Clonally-Related Cells in Situ Using MADM-CloneSeq.” <i>STAR Protocols</i>. Elsevier, 2024. <a href=\"https://doi.org/10.1016/j.xpro.2024.103168\">https://doi.org/10.1016/j.xpro.2024.103168</a>."},"publisher":"Elsevier","publication_status":"published","department":[{"_id":"SiHi"},{"_id":"PreCl"}],"intvolume":"         5","volume":5,"scopus_import":"1","has_accepted_license":"1","project":[{"_id":"059F6AB4-7A3F-11EA-A408-12923DDC885E","name":"Stem Cell Modulation in Neural Development and Regeneration/ P05-Molecular Mechanisms of Neural Stem Cell Lineage Progression","grant_number":"F7805"}],"oa_version":"Published Version","day":"20","doi":"10.1016/j.xpro.2024.103168","pmid":1,"tmp":{"image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"journal_article","date_updated":"2025-12-30T10:54:12Z","_id":"17232","month":"09","APC_amount":"804 EUR","ddc":["570"],"title":"Protocol for mapping cell lineage and cell-type identity of clonally-related cells in situ using MADM-CloneSeq","corr_author":"1"},{"doi":"10.1007/978-1-0716-3969-6_19","oa_version":"None","day":"13","project":[{"_id":"34c9fbcb-11ca-11ed-8bc3-98fa5658610d","grant_number":"26253","name":"Molecular Mechanisms Regulating Cortical Neural Stem Cell Lineage Progression and Astrocyte Development"},{"name":"Stem Cell Modulation in Neural Development and Regeneration/ P05-Molecular Mechanisms of Neural Stem Cell Lineage Progression","grant_number":"F7805","_id":"059F6AB4-7A3F-11EA-A408-12923DDC885E"}],"volume":2831,"scopus_import":"1","intvolume":"      2831","department":[{"_id":"GradSch"},{"_id":"SiHi"}],"publication_status":"published","publisher":"Springer Nature","citation":{"apa":"Miranda, O., Cheung, G. T., &#38; Hippenmeyer, S. (2024). Morphological Analysis of Neurons and Glia Using Mosaic Analysis with Double Markers. In K. Toyooka (Ed.), <i>Neuronal Morphogenesis</i> (1st ed., Vol. 2831, pp. 283–299). New York, NY: Springer Nature. <a href=\"https://doi.org/10.1007/978-1-0716-3969-6_19\">https://doi.org/10.1007/978-1-0716-3969-6_19</a>","ieee":"O. Miranda, G. T. Cheung, and S. Hippenmeyer, “Morphological Analysis of Neurons and Glia Using Mosaic Analysis with Double Markers,” in <i>Neuronal Morphogenesis</i>, 1st ed., vol. 2831, K. Toyooka, Ed. New York, NY: Springer Nature, 2024, pp. 283–299.","ista":"Miranda O, Cheung GT, Hippenmeyer S. 2024.Morphological Analysis of Neurons and Glia Using Mosaic Analysis with Double Markers. In: Neuronal Morphogenesis. Methods in Molecular Biology, vol. 2831, 283–299.","mla":"Miranda, Osvaldo, et al. “Morphological Analysis of Neurons and Glia Using Mosaic Analysis with Double Markers.” <i>Neuronal Morphogenesis</i>, edited by Kazuhito Toyooka, 1st ed., vol. 2831, Springer Nature, 2024, pp. 283–99, doi:<a href=\"https://doi.org/10.1007/978-1-0716-3969-6_19\">10.1007/978-1-0716-3969-6_19</a>.","ama":"Miranda O, Cheung GT, Hippenmeyer S. Morphological Analysis of Neurons and Glia Using Mosaic Analysis with Double Markers. In: Toyooka K, ed. <i>Neuronal Morphogenesis</i>. Vol 2831. 1st ed. MIMB. New York, NY: Springer Nature; 2024:283-299. doi:<a href=\"https://doi.org/10.1007/978-1-0716-3969-6_19\">10.1007/978-1-0716-3969-6_19</a>","short":"O. Miranda, G.T. Cheung, S. Hippenmeyer, in:, K. Toyooka (Ed.), Neuronal Morphogenesis, 1st ed., Springer Nature, New York, NY, 2024, pp. 283–299.","chicago":"Miranda, Osvaldo, Giselle T Cheung, and Simon Hippenmeyer. “Morphological Analysis of Neurons and Glia Using Mosaic Analysis with Double Markers.” In <i>Neuronal Morphogenesis</i>, edited by Kazuhito Toyooka, 1st ed., 2831:283–99. MIMB. New York, NY: Springer Nature, 2024. <a href=\"https://doi.org/10.1007/978-1-0716-3969-6_19\">https://doi.org/10.1007/978-1-0716-3969-6_19</a>."},"corr_author":"1","alternative_title":["Methods in Molecular Biology"],"title":"Morphological Analysis of Neurons and Glia Using Mosaic Analysis with Double Markers","month":"08","_id":"17425","date_updated":"2026-04-07T12:32:35Z","series_title":"MIMB","type":"book_chapter","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","pmid":1,"page":"283-299","abstract":[{"text":"Mosaic Analysis with Double Markers (MADM) is a powerful genetic method typically used for lineage tracing and to disentangle cell autonomous and tissue-wide roles of candidate genes with single cell resolution. Given the relatively sparse labeling, depending on which of the 19 MADM chromosomes one chooses, the MADM approach represents the perfect opportunity for cell morphology analysis. Various MADM studies include reports of morphological anomalies and phenotypes in the central nervous system (CNS). MADM for any candidate gene can easily incorporate morphological analysis within the experimental workflow. Here, we describe the methods of morphological cell analysis which we developed in the course of diverse recent MADM studies. This chapter will specifically focus on methods to quantify aspects of the morphology of neurons and astrocytes within the CNS, but these methods can broadly be applied to any MADM-labeled cells throughout the entire organism. We will cover two analyses—soma volume and dendrite characterization—of physical characteristics of pyramidal neurons in the somatosensory cortex, and two analyses—volume and Sholl analysis—of astrocyte morphology.","lang":"eng"}],"editor":[{"last_name":"Toyooka","full_name":"Toyooka, Kazuhito","first_name":"Kazuhito"}],"related_material":{"record":[{"id":"20212","status":"public","relation":"dissertation_contains"}]},"external_id":{"pmid":["39134857"]},"date_created":"2024-08-13T12:16:41Z","edition":"1","date_published":"2024-08-13T00:00:00Z","article_processing_charge":"No","status":"public","place":"New York, NY","acknowledgement":"We thank all Hippenmeyer lab members for support and discussions. This work was supported by the Scientific Service Units (SSU) at ISTA through resources provided by the Imaging & Optics Facility (IOF). O.A.M was a recipient of a DOC Fellowship (26253) of the Austrian Academy of Sciences. This work was supported by ISTA institutional funds, and The Austrian Science Fund Special Research Programmes (FWF SFB F78 Neuro Stem Modulation) to S.H.","publication_identifier":{"eisbn":["9781071639696"],"issn":["1064-3745"],"eissn":["1940-6029"],"isbn":["9781071639689"]},"publication":"Neuronal Morphogenesis","language":[{"iso":"eng"}],"year":"2024","acknowledged_ssus":[{"_id":"Bio"}],"quality_controlled":"1","author":[{"full_name":"Miranda, Osvaldo","orcid":"0000-0001-6618-6889","first_name":"Osvaldo","id":"862A3C56-A8BF-11E9-B4FA-D9E3E5697425","last_name":"Miranda"},{"id":"471195F6-F248-11E8-B48F-1D18A9856A87","first_name":"Giselle T","orcid":"0000-0001-8457-2572","full_name":"Cheung, Giselle T","last_name":"Cheung"},{"id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061","last_name":"Hippenmeyer"}]},{"OA_type":"free access","page":"291-293","abstract":[{"text":"In this issue of Neuron, Espinosa-Medina et al.1 present the TEMPO (Temporal Encoding and Manipulation in a Predefined Order) system, which enables the marking and genetic manipulation of sequentially generated cell lineages in vertebrate species in vivo.","lang":"eng"}],"article_type":"letter_note","external_id":{"pmid":["36731425"],"isi":["000994473300001"]},"date_created":"2023-02-12T23:00:58Z","date_published":"2023-02-01T00:00:00Z","article_processing_charge":"No","OA_place":"publisher","status":"public","publication_identifier":{"eissn":["1097-4199"]},"publication":"Neuron","language":[{"iso":"eng"}],"isi":1,"year":"2023","quality_controlled":"1","issue":"3","author":[{"full_name":"Villalba Requena, Ana","orcid":"0000-0002-5615-5277","id":"68cb85a0-39f7-11eb-9559-9aaab4f6a247","first_name":"Ana","last_name":"Villalba Requena"},{"last_name":"Hippenmeyer","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon"}],"doi":"10.1016/j.neuron.2023.01.006","oa_version":"Published Version","day":"01","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.neuron.2023.01.006"}],"volume":111,"scopus_import":"1","intvolume":"       111","department":[{"_id":"SiHi"}],"publication_status":"published","publisher":"Elsevier","citation":{"ista":"Villalba Requena A, Hippenmeyer S. 2023. Going back in time with TEMPO. Neuron. 111(3), 291–293.","apa":"Villalba Requena, A., &#38; Hippenmeyer, S. (2023). Going back in time with TEMPO. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2023.01.006\">https://doi.org/10.1016/j.neuron.2023.01.006</a>","ieee":"A. Villalba Requena and S. Hippenmeyer, “Going back in time with TEMPO,” <i>Neuron</i>, vol. 111, no. 3. Elsevier, pp. 291–293, 2023.","mla":"Villalba Requena, Ana, and Simon Hippenmeyer. “Going Back in Time with TEMPO.” <i>Neuron</i>, vol. 111, no. 3, Elsevier, 2023, pp. 291–93, doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.01.006\">10.1016/j.neuron.2023.01.006</a>.","chicago":"Villalba Requena, Ana, and Simon Hippenmeyer. “Going Back in Time with TEMPO.” <i>Neuron</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.neuron.2023.01.006\">https://doi.org/10.1016/j.neuron.2023.01.006</a>.","ama":"Villalba Requena A, Hippenmeyer S. Going back in time with TEMPO. <i>Neuron</i>. 2023;111(3):291-293. doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.01.006\">10.1016/j.neuron.2023.01.006</a>","short":"A. Villalba Requena, S. Hippenmeyer, Neuron 111 (2023) 291–293."},"oa":1,"corr_author":"1","title":"Going back in time with TEMPO","month":"02","_id":"12542","date_updated":"2025-06-25T06:24:25Z","type":"journal_article","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","pmid":1},{"day":"01","oa_version":"None","doi":"10.1152/jn.00172.2022","scopus_import":"1","volume":129,"publication_status":"published","department":[{"_id":"SiHi"}],"keyword":["Physiology","General Neuroscience"],"intvolume":"       129","citation":{"short":"D.R. Ladle, S. Hippenmeyer, Journal of Neurophysiology 129 (2023) 501–512.","ama":"Ladle DR, Hippenmeyer S. Loss of ETV1/ER81 in motor neurons leads to reduced monosynaptic inputs from proprioceptive sensory neurons. <i>Journal of Neurophysiology</i>. 2023;129(3):501-512. doi:<a href=\"https://doi.org/10.1152/jn.00172.2022\">10.1152/jn.00172.2022</a>","chicago":"Ladle, David R., and Simon Hippenmeyer. “Loss of ETV1/ER81 in Motor Neurons Leads to Reduced Monosynaptic Inputs from Proprioceptive Sensory Neurons.” <i>Journal of Neurophysiology</i>. American Physiological Society, 2023. <a href=\"https://doi.org/10.1152/jn.00172.2022\">https://doi.org/10.1152/jn.00172.2022</a>.","mla":"Ladle, David R., and Simon Hippenmeyer. “Loss of ETV1/ER81 in Motor Neurons Leads to Reduced Monosynaptic Inputs from Proprioceptive Sensory Neurons.” <i>Journal of Neurophysiology</i>, vol. 129, no. 3, American Physiological Society, 2023, pp. 501–12, doi:<a href=\"https://doi.org/10.1152/jn.00172.2022\">10.1152/jn.00172.2022</a>.","ieee":"D. R. Ladle and S. Hippenmeyer, “Loss of ETV1/ER81 in motor neurons leads to reduced monosynaptic inputs from proprioceptive sensory neurons,” <i>Journal of Neurophysiology</i>, vol. 129, no. 3. American Physiological Society, pp. 501–512, 2023.","ista":"Ladle DR, Hippenmeyer S. 2023. Loss of ETV1/ER81 in motor neurons leads to reduced monosynaptic inputs from proprioceptive sensory neurons. Journal of Neurophysiology. 129(3), 501–512.","apa":"Ladle, D. R., &#38; Hippenmeyer, S. (2023). Loss of ETV1/ER81 in motor neurons leads to reduced monosynaptic inputs from proprioceptive sensory neurons. <i>Journal of Neurophysiology</i>. American Physiological Society. <a href=\"https://doi.org/10.1152/jn.00172.2022\">https://doi.org/10.1152/jn.00172.2022</a>"},"publisher":"American Physiological Society","title":"Loss of ETV1/ER81 in motor neurons leads to reduced monosynaptic inputs from proprioceptive sensory neurons","date_updated":"2024-10-21T06:01:28Z","_id":"12562","month":"03","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","pmid":1,"type":"journal_article","abstract":[{"lang":"eng","text":"Presynaptic inputs determine the pattern of activation of postsynaptic neurons in a neural circuit. Molecular and genetic pathways that regulate the selective formation of subsets of presynaptic inputs are largely unknown, despite significant understanding of the general process of synaptogenesis. In this study, we have begun to identify such factors using the spinal monosynaptic stretch reflex circuit as a model system. In this neuronal circuit, Ia proprioceptive afferents establish monosynaptic connections with spinal motor neurons that project to the same muscle (termed homonymous connections) or muscles with related or synergistic function. However, monosynaptic connections are not formed with motor neurons innervating muscles with antagonistic functions. The ETS transcription factor ER81 (also known as ETV1) is expressed by all proprioceptive afferents, but only a small set of motor neuron pools in the lumbar spinal cord of the mouse. Here we use conditional mouse genetic techniques to eliminate Er81 expression selectively from motor neurons. We find that ablation of Er81 in motor neurons reduces synaptic inputs from proprioceptive afferents conveying information from homonymous and synergistic muscles, with no change observed in the connectivity pattern from antagonistic proprioceptive afferents. In summary, these findings suggest a role for ER81 in defined motor neuron pools to control the assembly of specific presynaptic inputs and thereby influence the profile of activation of these motor neurons."}],"page":"501-512","external_id":{"pmid":["36695533"],"isi":["000957721600001"]},"article_type":"original","status":"public","article_processing_charge":"No","date_created":"2023-02-15T14:46:14Z","date_published":"2023-03-01T00:00:00Z","acknowledgement":"The authors gratefully thank Dr. Silvia Arber, University of Basel and Friedrich Miescher Institute for Biomedical Research, for support and in whose lab the data were collected. For advice on statistical analysis, we thank Michael Bottomley from the Statistical Consulting Center, College of Science and Mathematics, Wright State University.","year":"2023","publication":"Journal of Neurophysiology","language":[{"iso":"eng"}],"isi":1,"publication_identifier":{"issn":["0022-3077"],"eissn":["1522-1598"]},"author":[{"last_name":"Ladle","full_name":"Ladle, David R.","first_name":"David R."},{"orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","last_name":"Hippenmeyer"}],"issue":"3","quality_controlled":"1"},{"quality_controlled":"1","type":"book_chapter","author":[{"last_name":"Villalba Requena","full_name":"Villalba Requena, Ana","orcid":"0000-0002-5615-5277","id":"68cb85a0-39f7-11eb-9559-9aaab4f6a247","first_name":"Ana"},{"last_name":"Amberg","id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","first_name":"Nicole","full_name":"Amberg, Nicole","orcid":"0000-0002-3183-8207"},{"first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061","last_name":"Hippenmeyer"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_identifier":{"eisbn":["9781119860914"]},"month":"08","year":"2023","_id":"14757","publication":"Neocortical Neurogenesis in Development and Evolution","language":[{"iso":"eng"}],"date_updated":"2024-10-09T21:07:46Z","corr_author":"1","title":"Interplay of Cell‐autonomous Gene Function and Tissue‐wide Mechanisms Regulating Radial Glial Progenitor Lineage Progression","date_published":"2023-08-08T00:00:00Z","date_created":"2024-01-08T13:16:36Z","publisher":"Wiley","article_processing_charge":"No","status":"public","citation":{"ama":"Villalba Requena A, Amberg N, Hippenmeyer S. Interplay of Cell‐autonomous Gene Function and Tissue‐wide Mechanisms Regulating Radial Glial Progenitor Lineage Progression. In: Huttner W, ed. <i>Neocortical Neurogenesis in Development and Evolution</i>. Wiley; 2023:169-191. doi:<a href=\"https://doi.org/10.1002/9781119860914.ch10\">10.1002/9781119860914.ch10</a>","short":"A. Villalba Requena, N. Amberg, S. Hippenmeyer, in:, W. Huttner (Ed.), Neocortical Neurogenesis in Development and Evolution, Wiley, 2023, pp. 169–191.","chicago":"Villalba Requena, Ana, Nicole Amberg, and Simon Hippenmeyer. “Interplay of Cell‐autonomous Gene Function and Tissue‐wide Mechanisms Regulating Radial Glial Progenitor Lineage Progression.” In <i>Neocortical Neurogenesis in Development and Evolution</i>, edited by Wieland Huttner, 169–91. Wiley, 2023. <a href=\"https://doi.org/10.1002/9781119860914.ch10\">https://doi.org/10.1002/9781119860914.ch10</a>.","ista":"Villalba Requena A, Amberg N, Hippenmeyer S. 2023.Interplay of Cell‐autonomous Gene Function and Tissue‐wide Mechanisms Regulating Radial Glial Progenitor Lineage Progression. In: Neocortical Neurogenesis in Development and Evolution. , 169–191.","apa":"Villalba Requena, A., Amberg, N., &#38; Hippenmeyer, S. (2023). Interplay of Cell‐autonomous Gene Function and Tissue‐wide Mechanisms Regulating Radial Glial Progenitor Lineage Progression. In W. Huttner (Ed.), <i>Neocortical Neurogenesis in Development and Evolution</i> (pp. 169–191). Wiley. <a href=\"https://doi.org/10.1002/9781119860914.ch10\">https://doi.org/10.1002/9781119860914.ch10</a>","ieee":"A. Villalba Requena, N. Amberg, and S. Hippenmeyer, “Interplay of Cell‐autonomous Gene Function and Tissue‐wide Mechanisms Regulating Radial Glial Progenitor Lineage Progression,” in <i>Neocortical Neurogenesis in Development and Evolution</i>, W. Huttner, Ed. Wiley, 2023, pp. 169–191.","mla":"Villalba Requena, Ana, et al. “Interplay of Cell‐autonomous Gene Function and Tissue‐wide Mechanisms Regulating Radial Glial Progenitor Lineage Progression.” <i>Neocortical Neurogenesis in Development and Evolution</i>, edited by Wieland Huttner, Wiley, 2023, pp. 169–91, doi:<a href=\"https://doi.org/10.1002/9781119860914.ch10\">10.1002/9781119860914.ch10</a>."},"editor":[{"last_name":"Huttner","first_name":"Wieland","full_name":"Huttner, Wieland"}],"department":[{"_id":"SiHi"}],"publication_status":"published","page":"169-191","scopus_import":"1","abstract":[{"lang":"eng","text":"The cerebral cortex is comprised of a vast cell-type diversity sequentially generated by cortical progenitor cells. Faithful progenitor lineage progression requires the tight orchestration of distinct molecular and cellular mechanisms regulating proper progenitor proliferation behavior and differentiation. Correct execution of developmental programs involves a complex interplay of cell intrinsic and tissue-wide mechanisms. Many studies over the past decades have been able to determine a plethora of genes critically involved in cortical development. However, only a few made use of genetic paradigms with sparse and global gene deletion to probe cell-autonomous vs. tissue-wide contribution. In this chapter, we will elaborate on the importance of dissecting the cell-autonomous and tissue-wide mechanisms to gain a precise understanding of gene function during radial glial progenitor lineage progression."}],"doi":"10.1002/9781119860914.ch10","day":"08","oa_version":"None"},{"day":"01","oa_version":"Published Version","doi":"10.1016/j.conb.2023.102695","volume":79,"has_accepted_license":"1","scopus_import":"1","project":[{"_id":"059F6AB4-7A3F-11EA-A408-12923DDC885E","grant_number":"F7805","name":"Stem Cell Modulation in Neural Development and Regeneration/ P05-Molecular Mechanisms of Neural Stem Cell Lineage Progression"},{"name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development","grant_number":"725780","_id":"260018B0-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"publication_status":"published","department":[{"_id":"SiHi"}],"keyword":["General Neuroscience"],"intvolume":"        79","oa":1,"citation":{"mla":"Hippenmeyer, Simon. “Principles of Neural Stem Cell Lineage Progression: Insights from Developing Cerebral Cortex.” <i>Current Opinion in Neurobiology</i>, vol. 79, no. 4, 102695, Elsevier, 2023, doi:<a href=\"https://doi.org/10.1016/j.conb.2023.102695\">10.1016/j.conb.2023.102695</a>.","ista":"Hippenmeyer S. 2023. Principles of neural stem cell lineage progression: Insights from developing cerebral cortex. Current Opinion in Neurobiology. 79(4), 102695.","apa":"Hippenmeyer, S. (2023). Principles of neural stem cell lineage progression: Insights from developing cerebral cortex. <i>Current Opinion in Neurobiology</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.conb.2023.102695\">https://doi.org/10.1016/j.conb.2023.102695</a>","ieee":"S. Hippenmeyer, “Principles of neural stem cell lineage progression: Insights from developing cerebral cortex,” <i>Current Opinion in Neurobiology</i>, vol. 79, no. 4. Elsevier, 2023.","chicago":"Hippenmeyer, Simon. “Principles of Neural Stem Cell Lineage Progression: Insights from Developing Cerebral Cortex.” <i>Current Opinion in Neurobiology</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.conb.2023.102695\">https://doi.org/10.1016/j.conb.2023.102695</a>.","short":"S. Hippenmeyer, Current Opinion in Neurobiology 79 (2023).","ama":"Hippenmeyer S. Principles of neural stem cell lineage progression: Insights from developing cerebral cortex. <i>Current Opinion in Neurobiology</i>. 2023;79(4). doi:<a href=\"https://doi.org/10.1016/j.conb.2023.102695\">10.1016/j.conb.2023.102695</a>"},"publisher":"Elsevier","title":"Principles of neural stem cell lineage progression: Insights from developing cerebral cortex","ddc":["570"],"corr_author":"1","date_updated":"2025-04-15T08:23:06Z","_id":"12679","month":"04","ec_funded":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"pmid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"journal_article","abstract":[{"text":"How to generate a brain of correct size and with appropriate cell-type diversity during development is a major question in Neuroscience. In the developing neocortex, radial glial progenitor (RGP) cells are the main neural stem cells that produce cortical excitatory projection neurons, glial cells, and establish the prospective postnatal stem cell niche in the lateral ventricles. RGPs follow a tightly orchestrated developmental program that when disrupted can result in severe cortical malformations such as microcephaly and megalencephaly. The precise cellular and molecular mechanisms instructing faithful RGP lineage progression are however not well understood. This review will summarize recent conceptual advances that contribute to our understanding of the general principles of RGP lineage progression.","lang":"eng"}],"file":[{"access_level":"open_access","creator":"dernst","success":1,"content_type":"application/pdf","file_size":1787894,"date_updated":"2023-08-16T12:29:06Z","file_id":"14071","relation":"main_file","checksum":"4d11c4ca87e6cbc4d2ac46d3225ea615","file_name":"2023_CurrentOpinionNeurobio_Hippenmeyer.pdf","date_created":"2023-08-16T12:29:06Z"}],"external_id":{"pmid":["36842274"],"isi":["000953497700001"]},"article_type":"review","status":"public","article_processing_charge":"Yes (via OA deal)","date_published":"2023-04-01T00:00:00Z","date_created":"2023-02-26T12:24:21Z","file_date_updated":"2023-08-16T12:29:06Z","acknowledgement":"I wish to thank all current and past members of the Hippenmeyer laboratory at ISTA for exciting discussions on the subject of this review. I apologize to colleagues whose work I could not cite and/or discuss in the frame of the available space. Work in the Hippenmeyer laboratory on the\r\ndiscussed topic is supported by ISTA institutional funds, FWF SFB F78 to S.H., and the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme (grant agree-ment no. 725780 LinPro) to SH.","publication":"Current Opinion in Neurobiology","language":[{"iso":"eng"}],"year":"2023","isi":1,"publication_identifier":{"issn":["0959-4388"]},"article_number":"102695","issue":"4","author":[{"first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","last_name":"Hippenmeyer"}],"quality_controlled":"1"},{"file":[{"file_id":"12889","date_updated":"2023-05-02T09:26:21Z","file_size":15712841,"content_type":"application/pdf","success":1,"access_level":"open_access","creator":"dernst","date_created":"2023-05-02T09:26:21Z","checksum":"47e94fbe19e86505b429cb7a5b503ce6","file_name":"2023_Cell_Knaus.pdf","relation":"main_file"}],"abstract":[{"text":"Little is known about the critical metabolic changes that neural cells have to undergo during development and how temporary shifts in this program can influence brain circuitries and behavior. Inspired by the discovery that mutations in SLC7A5, a transporter of metabolically essential large neutral amino acids (LNAAs), lead to autism, we employed metabolomic profiling to study the metabolic states of the cerebral cortex across different developmental stages. We found that the forebrain undergoes significant metabolic remodeling throughout development, with certain groups of metabolites showing stage-specific changes, but what are the consequences of perturbing this metabolic program? By manipulating Slc7a5 expression in neural cells, we found that the metabolism of LNAAs and lipids are interconnected in the cortex. Deletion of Slc7a5 in neurons affects the postnatal metabolic state, leading to a shift in lipid metabolism. Additionally, it causes stage- and cell-type-specific alterations in neuronal activity patterns, resulting in a long-term circuit dysfunction.","lang":"eng"}],"page":"1950-1967.e25","related_material":{"link":[{"description":"News on ISTA Website","url":"https://ista.ac.at/en/news/feed-them-or-lose-them/","relation":"press_release"}],"record":[{"status":"public","id":"19557","relation":"dissertation_contains"},{"relation":"dissertation_contains","id":"13107","status":"public"}]},"external_id":{"isi":["000991468700001"],"pmid":["36996814"]},"article_type":"original","article_processing_charge":"Yes (via OA deal)","date_created":"2023-04-05T08:15:40Z","date_published":"2023-04-27T00:00:00Z","status":"public","file_date_updated":"2023-05-02T09:26:21Z","acknowledgement":"We thank A. Freeman and V. Voronin for technical assistance, S. Deixler, A. Stichelberger, M. Schunn, and the Preclinical Facility for managing our animal colony. We thank L. Andersen and J. Sonntag, who were involved in generating the MADM lines. We thank the ISTA LSF Mass Spectrometry Core Facility for assistance with the proteomic analysis, as well as the ISTA electron microscopy and Imaging and Optics facility for technical support. Metabolomics LC-MS/MS analysis was performed by the Metabolomics Facility at Vienna BioCenter Core Facilities (VBCF). We acknowledge the support of the EMBL Metabolomics Core Facility (MCF) for lipidomics and intracellular metabolomics mass spectrometry data acquisition and analysis. RNA sequencing was performed by the Next Generation Sequencing Facility at VBCF. Schematics were generated using Biorender.com. This work was supported by the Austrian Science Fund (FWF, DK W1232-B24) and by the European Union’s Horizon 2020 research and innovation program (ERC) grant 725780 (LinPro) to S.H. and 715508 (REVERSEAUTISM) to G.N.","publication_identifier":{"issn":["0092-8674"]},"publication":"Cell","year":"2023","isi":1,"language":[{"iso":"eng"}],"acknowledged_ssus":[{"_id":"PreCl"},{"_id":"EM-Fac"},{"_id":"Bio"},{"_id":"LifeSc"}],"quality_controlled":"1","issue":"9","author":[{"first_name":"Lisa","id":"3B2ABCF4-F248-11E8-B48F-1D18A9856A87","full_name":"Knaus, Lisa","last_name":"Knaus"},{"last_name":"Basilico","orcid":"0000-0003-1843-3173","full_name":"Basilico, Bernadette","id":"36035796-5ACA-11E9-A75E-7AF2E5697425","first_name":"Bernadette"},{"full_name":"Malzl, Daniel","first_name":"Daniel","last_name":"Malzl"},{"full_name":"Gerykova Bujalkova, Maria","first_name":"Maria","last_name":"Gerykova Bujalkova"},{"first_name":"Mateja","full_name":"Smogavec, Mateja","last_name":"Smogavec"},{"last_name":"Schwarz","full_name":"Schwarz, Lena A.","first_name":"Lena A."},{"full_name":"Gorkiewicz, Sarah","first_name":"Sarah","id":"f141a35d-15a9-11ec-9fb2-fef6becc7b6f","last_name":"Gorkiewicz"},{"first_name":"Nicole","id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-3183-8207","full_name":"Amberg, Nicole","last_name":"Amberg"},{"orcid":"0000-0002-7462-0048","full_name":"Pauler, Florian","first_name":"Florian","id":"48EA0138-F248-11E8-B48F-1D18A9856A87","last_name":"Pauler"},{"last_name":"Knittl-Frank","full_name":"Knittl-Frank, Christian","first_name":"Christian"},{"id":"7af593f1-d44a-11ed-bf94-a3646a6bb35e","first_name":"Marianna","full_name":"Tassinari, Marianna","last_name":"Tassinari"},{"last_name":"Maulide","first_name":"Nuno","full_name":"Maulide, Nuno"},{"last_name":"Rülicke","full_name":"Rülicke, Thomas","first_name":"Thomas"},{"last_name":"Menche","full_name":"Menche, Jörg","first_name":"Jörg"},{"orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","last_name":"Hippenmeyer"},{"last_name":"Novarino","full_name":"Novarino, Gaia","orcid":"0000-0002-7673-7178","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","first_name":"Gaia"}],"oa_version":"Published Version","day":"27","doi":"10.1016/j.cell.2023.02.037","project":[{"_id":"2548AE96-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Molecular Drug Targets","grant_number":"W1232"},{"name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development","grant_number":"725780","_id":"260018B0-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models","grant_number":"715508","_id":"25444568-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"volume":186,"scopus_import":"1","has_accepted_license":"1","keyword":["General Biochemistry","Genetics and Molecular Biology"],"intvolume":"       186","publication_status":"published","department":[{"_id":"SiHi"},{"_id":"GaNo"}],"publisher":"Elsevier","oa":1,"citation":{"chicago":"Knaus, Lisa, Bernadette Basilico, Daniel Malzl, Maria Gerykova Bujalkova, Mateja Smogavec, Lena A. Schwarz, Sarah Gorkiewicz, et al. “Large Neutral Amino Acid Levels Tune Perinatal Neuronal Excitability and Survival.” <i>Cell</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.cell.2023.02.037\">https://doi.org/10.1016/j.cell.2023.02.037</a>.","ama":"Knaus L, Basilico B, Malzl D, et al. Large neutral amino acid levels tune perinatal neuronal excitability and survival. <i>Cell</i>. 2023;186(9):1950-1967.e25. doi:<a href=\"https://doi.org/10.1016/j.cell.2023.02.037\">10.1016/j.cell.2023.02.037</a>","short":"L. Knaus, B. Basilico, D. Malzl, M. Gerykova Bujalkova, M. Smogavec, L.A. Schwarz, S. Gorkiewicz, N. Amberg, F. Pauler, C. Knittl-Frank, M. Tassinari, N. Maulide, T. Rülicke, J. Menche, S. Hippenmeyer, G. Novarino, Cell 186 (2023) 1950–1967.e25.","ista":"Knaus L, Basilico B, Malzl D, Gerykova Bujalkova M, Smogavec M, Schwarz LA, Gorkiewicz S, Amberg N, Pauler F, Knittl-Frank C, Tassinari M, Maulide N, Rülicke T, Menche J, Hippenmeyer S, Novarino G. 2023. Large neutral amino acid levels tune perinatal neuronal excitability and survival. Cell. 186(9), 1950–1967.e25.","apa":"Knaus, L., Basilico, B., Malzl, D., Gerykova Bujalkova, M., Smogavec, M., Schwarz, L. A., … Novarino, G. (2023). Large neutral amino acid levels tune perinatal neuronal excitability and survival. <i>Cell</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.cell.2023.02.037\">https://doi.org/10.1016/j.cell.2023.02.037</a>","ieee":"L. Knaus <i>et al.</i>, “Large neutral amino acid levels tune perinatal neuronal excitability and survival,” <i>Cell</i>, vol. 186, no. 9. Elsevier, p. 1950–1967.e25, 2023.","mla":"Knaus, Lisa, et al. “Large Neutral Amino Acid Levels Tune Perinatal Neuronal Excitability and Survival.” <i>Cell</i>, vol. 186, no. 9, Elsevier, 2023, p. 1950–1967.e25, doi:<a href=\"https://doi.org/10.1016/j.cell.2023.02.037\">10.1016/j.cell.2023.02.037</a>."},"corr_author":"1","ddc":["570"],"title":"Large neutral amino acid levels tune perinatal neuronal excitability and survival","month":"04","date_updated":"2026-04-14T08:34:36Z","_id":"12802","ec_funded":1,"type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","pmid":1}]