{"ec_funded":1,"ddc":["530"],"department":[{"_id":"GradSch"},{"_id":"EdHa"}],"tmp":{"image":"/images/cc_by_nc_sa.png","short":"CC BY-NC-SA (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)"},"date_updated":"2023-08-04T11:02:40Z","doi":"10.15479/at:ista:12964","day":"17","citation":{"ista":"Boocock DR. 2023. Mechanochemical pattern formation across biological scales. Institute of Science and Technology Austria.","mla":"Boocock, Daniel R. Mechanochemical Pattern Formation across Biological Scales. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:12964.","chicago":"Boocock, Daniel R. “Mechanochemical Pattern Formation across Biological Scales.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:12964.","apa":"Boocock, D. R. (2023). Mechanochemical pattern formation across biological scales. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12964","ieee":"D. R. Boocock, “Mechanochemical pattern formation across biological scales,” Institute of Science and Technology Austria, 2023.","ama":"Boocock DR. Mechanochemical pattern formation across biological scales. 2023. doi:10.15479/at:ista:12964","short":"D.R. Boocock, Mechanochemical Pattern Formation across Biological Scales, Institute of Science and Technology Austria, 2023."},"has_accepted_license":"1","file":[{"access_level":"closed","file_size":40414730,"date_updated":"2023-05-19T07:04:25Z","embargo_to":"open_access","creator":"dboocock","file_id":"12988","date_created":"2023-05-17T13:39:54Z","relation":"main_file","checksum":"d51240675fc6dc0e3f5dc0c902695d3a","file_name":"thesis_boocock.pdf","embargo":"2024-05-17","content_type":"application/pdf"},{"file_size":34338567,"access_level":"closed","date_updated":"2023-05-17T14:35:13Z","creator":"dboocock","file_id":"12989","date_created":"2023-05-17T13:39:53Z","checksum":"581a2313ffeb40fe77e8a122a25a7795","relation":"source_file","file_name":"thesis_boocock.zip","content_type":"application/zip"}],"author":[{"id":"453AF628-F248-11E8-B48F-1D18A9856A87","first_name":"Daniel R","full_name":"Boocock, Daniel R","last_name":"Boocock","orcid":"0000-0002-1585-2631"}],"project":[{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"International IST Doctoral Program","grant_number":"665385"}],"_id":"12964","year":"2023","supervisor":[{"full_name":"Hannezo, Edouard B","orcid":"0000-0001-6005-1561","last_name":"Hannezo","first_name":"Edouard B","id":"3A9DB764-F248-11E8-B48F-1D18A9856A87"}],"publication_identifier":{"issn":["2663-337X"],"isbn":["978-3-99078-032-9"]},"language":[{"iso":"eng"}],"date_created":"2023-05-15T14:52:36Z","oa_version":"Published Version","related_material":{"record":[{"relation":"part_of_dissertation","status":"public","id":"8602"}]},"title":"Mechanochemical pattern formation across biological scales","alternative_title":["ISTA Thesis"],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","month":"05","license":"https://creativecommons.org/licenses/by-nc-sa/4.0/","abstract":[{"lang":"eng","text":"Pattern formation is of great importance for its contribution across different biological behaviours. During developmental processes for example, patterns of chemical gradients are\r\nestablished to determine cell fate and complex tissue patterns emerge to define structures such\r\nas limbs and vascular networks. Patterns are also seen in collectively migrating groups, for\r\ninstance traveling waves of density emerging in moving animal flocks as well as collectively migrating cells and tissues. To what extent these biological patterns arise spontaneously through\r\nthe local interaction of individual constituents or are dictated by higher level instructions is\r\nstill an open question however there is evidence for the involvement of both types of process.\r\nWhere patterns arise spontaneously there is a long standing interest in how far the interplay\r\nof mechanics, e.g. force generation and deformation, and chemistry, e.g. gene regulation\r\nand signaling, contributes to the behaviour. This is because many systems are able to both\r\nchemically regulate mechanical force production and chemically sense mechanical deformation,\r\nforming mechano-chemical feedback loops which can potentially become unstable towards\r\nspatio and/or temporal patterning.\r\nWe work with experimental collaborators to investigate the possibility that this type of\r\ninteraction drives pattern formation in biological systems at different scales. We focus first on\r\ntissue-level ERK-density waves observed during the wound healing response across different\r\nsystems where many previous studies have proposed that patterns depend on polarized cell\r\nmigration and arise from a mechanical flocking-like mechanism. By combining theory with\r\nmechanical and optogenetic perturbation experiments on in vitro monolayers we instead find\r\nevidence for mechanochemical pattern formation involving only scalar bilateral feedbacks\r\nbetween ERK signaling and cell contraction. We perform further modeling and experiment\r\nto study how this instability couples with polar cell migration in order to produce a robust\r\nand efficient wound healing response. In a following chapter we implement ERK-density\r\ncoupling and cell migration in a 2D active vertex model to investigate the interaction of\r\nERK-density patterning with different tissue rheologies and find that the spatio-temporal\r\ndynamics are able to both locally and globally fluidize a tissue across the solid-fluid glass\r\ntransition. In a last chapter we move towards lower spatial scales in the context of subcellular\r\npatterning of the cell cytoskeleton where we investigate the transition between phases of\r\nspatially homogeneous temporal oscillations and chaotic spatio-temporal patterning in the\r\ndynamics of myosin and ROCK activities (a motor component of the actomyosin cytoskeleton\r\nand its activator). Experimental evidence supports an intrinsic chemical oscillator which we\r\nencode in a reaction model and couple to a contractile active gel description of the cell cortex.\r\nThe model exhibits phases of chemical oscillations and contractile spatial patterning which\r\nreproduce many features of the dynamics seen in Drosophila oocyte epithelia in vivo. However,\r\nadditional pharmacological perturbations to inhibit myosin contractility leaves the role of\r\ncontractile instability unclear. We discuss alternative hypotheses and investigate the possibility\r\nof reaction-diffusion instability."}],"article_processing_charge":"No","file_date_updated":"2023-05-19T07:04:25Z","status":"public","publication_status":"published","page":"146","publisher":"Institute of Science and Technology Austria","date_published":"2023-05-17T00:00:00Z","degree_awarded":"PhD","type":"dissertation"}