[{"date_created":"2026-02-17T11:35:59Z","author":[{"first_name":"Feyza","last_name":"Polat Haas","full_name":"Polat Haas, Feyza"},{"id":"68cb85a0-39f7-11eb-9559-9aaab4f6a247","first_name":"Ana","full_name":"Villalba Requena, Ana","last_name":"Villalba Requena","orcid":"0000-0002-5615-5277"},{"full_name":"Rusina, Polina","last_name":"Rusina","first_name":"Polina"},{"first_name":"Anusha","last_name":"Gopalan","full_name":"Gopalan, Anusha"},{"full_name":"Fritz, Hector","last_name":"Fritz","first_name":"Hector"},{"full_name":"Akhmetkaliyev, Azamat","last_name":"Akhmetkaliyev","first_name":"Azamat"},{"first_name":"Frank","last_name":"Ruehle","full_name":"Ruehle, Frank"},{"first_name":"Anna","last_name":"Einsiedel","full_name":"Einsiedel, Anna"},{"last_name":"Szczepinska","full_name":"Szczepinska, Anna","first_name":"Anna"},{"first_name":"Fridolin","full_name":"Kielisch, Fridolin","last_name":"Kielisch"},{"last_name":"Chen","full_name":"Chen, Jia-Xuan","first_name":"Jia-Xuan"},{"full_name":"Nguyen, Susanne","last_name":"Nguyen","first_name":"Susanne"},{"first_name":"Thierry","last_name":"Schmidlin","full_name":"Schmidlin, Thierry"},{"first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2279-1061","last_name":"Hippenmeyer","full_name":"Hippenmeyer, Simon"},{"full_name":"Bailicata, M. Felicia","last_name":"Bailicata","first_name":"M. Felicia"},{"first_name":"Claudia Isabelle","full_name":"Keller Valsecchi, Claudia Isabelle","last_name":"Keller Valsecchi"}],"main_file_link":[{"url":"https://doi.org/10.64898/2026.02.11.705284","open_access":"1"}],"abstract":[{"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.","lang":"eng"}],"date_published":"2026-02-11T00:00:00Z","doi":"10.64898/2026.02.11.705284","publication_status":"submitted","title":"The splicing paralogues SNRPB and SNRPN control differential metabolic states.","date_updated":"2026-02-23T11:03:33Z","_id":"21290","status":"public","oa_version":"Preprint","month":"02","oa":1,"publication":"bioRxiv","year":"2026","language":[{"iso":"eng"}],"citation":{"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>.","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>","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>","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>."},"OA_type":"green","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"SiHi"}],"OA_place":"repository","article_processing_charge":"No","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","type":"preprint","day":"11"},{"date_created":"2025-05-20T10:19:29Z","author":[{"last_name":"Varela-Martínez","full_name":"Varela-Martínez, I","first_name":"I"},{"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":"Garcia-Marqués","full_name":"Garcia-Marqués, J.","first_name":"J."},{"first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2279-1061","last_name":"Hippenmeyer","full_name":"Hippenmeyer, Simon"},{"first_name":"M.","full_name":"Nieto, M.","last_name":"Nieto"}],"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."}],"main_file_link":[{"url":"https://doi.org/10.1101/2025.05.07.652665","open_access":"1"}],"date_published":"2025-05-07T00:00:00Z","publication_status":"published","title":"Early emergence of projection-subtype fate-restricted radial glial progenitors orchestrates neocortical neurogenesis","doi":"10.1101/2025.05.07.652665","date_updated":"2025-05-28T06:37:46Z","_id":"19717","status":"public","oa_version":"Preprint","month":"05","oa":1,"publication":"bioRxiv","year":"2025","language":[{"iso":"eng"}],"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>","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.","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>.","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>.","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>.","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>","short":"I. Varela-Martínez, A. Villalba Requena, J. Garcia-Marqués, S. Hippenmeyer, M. Nieto, BioRxiv (2025)."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","OA_type":"green","department":[{"_id":"SiHi"}],"article_processing_charge":"No","OA_place":"repository","type":"preprint","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","day":"07"},{"OA_type":"hybrid","language":[{"iso":"eng"}],"year":"2025","article_type":"original","publisher":"Elsevier","day":"01","has_accepted_license":"1","article_processing_charge":"Yes (via OA deal)","department":[{"_id":"SiHi"}],"scopus_import":"1","doi":"10.1016/j.conb.2025.103046","intvolume":"        93","author":[{"full_name":"Pipicelli, Fabrizia","last_name":"Pipicelli","first_name":"Fabrizia","id":"649134fd-d012-11ed-8f82-db1e5050f9ba"},{"last_name":"Villalba Requena","full_name":"Villalba Requena, Ana","orcid":"0000-0002-5615-5277","id":"68cb85a0-39f7-11eb-9559-9aaab4f6a247","first_name":"Ana"},{"full_name":"Hippenmeyer, Simon","last_name":"Hippenmeyer","orcid":"0000-0003-2279-1061","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon"}],"date_created":"2025-05-20T10:20:09Z","volume":93,"oa":1,"month":"08","oa_version":"Published Version","status":"public","file_date_updated":"2025-12-30T08:25:49Z","_id":"19718","ddc":["570"],"article_number":"103046","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"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.","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>.","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>","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.","short":"F. Pipicelli, A. Villalba Requena, S. Hippenmeyer, Current Opinion in Neurobiology 93 (2025).","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>","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>."},"pmid":1,"publication":"Current Opinion in Neurobiology","file":[{"file_name":"2025_CurrentOpNeurobiology_Pipicelli.pdf","date_created":"2025-12-30T08:25:49Z","success":1,"date_updated":"2025-12-30T08:25:49Z","access_level":"open_access","creator":"dernst","file_id":"20894","file_size":1592649,"relation":"main_file","content_type":"application/pdf","checksum":"05bacb4acbe6275d43e873dec9ba1d52"}],"type":"journal_article","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.","OA_place":"publisher","date_updated":"2025-12-30T10:54:14Z","publication_status":"published","project":[{"name":"Stem Cell Modulation in Neural Development and Regeneration/ P05-Molecular Mechanisms of Neural Stem Cell Lineage Progression","_id":"059F6AB4-7A3F-11EA-A408-12923DDC885E","grant_number":"F7805"},{"grant_number":"ALTF 994-2023","_id":"7c084566-9f16-11ee-852c-c88a1dbbf1cf","name":"Role of cell lineage in generating cell-type diversity in developing neocortex’"}],"title":"How radial glia progenitor lineages generate cell-type diversity in the developing cerebral cortex","external_id":{"pmid":["40383049"],"isi":["001496227000001"]},"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"isi":1,"date_published":"2025-08-01T00:00:00Z","quality_controlled":"1","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."}],"publication_identifier":{"issn":["0959-4388"]},"corr_author":"1","PlanS_conform":"1"},{"abstract":[{"lang":"eng","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."}],"quality_controlled":"1","publication_status":"published","title":"Going back in time with TEMPO","date_updated":"2025-06-25T06:24:25Z","external_id":{"pmid":["36731425"],"isi":["000994473300001"]},"date_published":"2023-02-01T00:00:00Z","isi":1,"corr_author":"1","publication_identifier":{"eissn":["1097-4199"]},"publication":"Neuron","citation":{"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>.","ista":"Villalba Requena A, Hippenmeyer S. 2023. Going back in time with TEMPO. Neuron. 111(3), 291–293.","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>","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.","short":"A. Villalba Requena, S. Hippenmeyer, Neuron 111 (2023) 291–293.","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>.","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>"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","pmid":1,"OA_place":"publisher","type":"journal_article","author":[{"orcid":"0000-0002-5615-5277","last_name":"Villalba Requena","full_name":"Villalba Requena, Ana","first_name":"Ana","id":"68cb85a0-39f7-11eb-9559-9aaab4f6a247"},{"id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","last_name":"Hippenmeyer","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061"}],"main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2023.01.006","open_access":"1"}],"volume":111,"date_created":"2023-02-12T23:00:58Z","doi":"10.1016/j.neuron.2023.01.006","scopus_import":"1","intvolume":"       111","_id":"12542","status":"public","oa_version":"Published Version","oa":1,"month":"02","page":"291-293","OA_type":"free access","year":"2023","language":[{"iso":"eng"}],"article_processing_charge":"No","department":[{"_id":"SiHi"}],"article_type":"letter_note","publisher":"Elsevier","day":"01","issue":"3"},{"date_created":"2024-01-08T13:16:36Z","author":[{"id":"68cb85a0-39f7-11eb-9559-9aaab4f6a247","first_name":"Ana","full_name":"Villalba Requena, Ana","last_name":"Villalba Requena","orcid":"0000-0002-5615-5277"},{"orcid":"0000-0002-3183-8207","last_name":"Amberg","full_name":"Amberg, Nicole","first_name":"Nicole","id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87"},{"id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","last_name":"Hippenmeyer","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061"}],"quality_controlled":"1","abstract":[{"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.","lang":"eng"}],"date_published":"2023-08-08T00:00:00Z","doi":"10.1002/9781119860914.ch10","publication_status":"published","title":"Interplay of Cell‐autonomous Gene Function and Tissue‐wide Mechanisms Regulating Radial Glial Progenitor Lineage Progression","scopus_import":"1","date_updated":"2024-10-09T21:07:46Z","editor":[{"first_name":"Wieland","full_name":"Huttner, Wieland","last_name":"Huttner"}],"_id":"14757","oa_version":"None","status":"public","month":"08","corr_author":"1","publication_identifier":{"eisbn":["9781119860914"]},"publication":"Neocortical Neurogenesis in Development and Evolution","page":"169-191","year":"2023","language":[{"iso":"eng"}],"citation":{"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>.","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.","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>","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.","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>.","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>"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"SiHi"}],"article_processing_charge":"No","type":"book_chapter","day":"08","publisher":"Wiley"}]