{"id":7585,"date":"2023-04-09T14:31:39","date_gmt":"2023-04-09T05:31:39","guid":{"rendered":"https:\/\/www.ibs.re.kr\/bimag\/?post_type=tribe_events&p=7585"},"modified":"2023-04-14T11:45:16","modified_gmt":"2023-04-14T02:45:16","slug":"understanding-trade-offs-in-biological-information-processing","status":"publish","type":"tribe_events","link":"https:\/\/www.ibs.re.kr\/bimag\/event\/understanding-trade-offs-in-biological-information-processing\/","title":{"rendered":"Uncovering the mechanisms of pattern formation and emergent collective behaviors in myxobacteria"},"content":{"rendered":"
Collective cell movement is critical to the emergent properties of many multicellular systems including microbial self-organization in biofilms, wound healing, and cancer metastasis. However, even the best-studied systems lack a complete picture of how diverse physical and chemical cues act upon individual cells to ensure coordinated multicellular behavior. Myxococcus xanthus is a model bacteria famous for its coordinated multicellular behavior resulting in dynamic patterns formation. For example, when starving millions of cells coordinate their movement to organize into fruiting bodies \u2013 aggregates containing tens of thousands of bacteria. Relating these complex self-organization patterns to the behavior of individual cells is a complex-reverse engineering problem that cannot be solved solely by experimental research. In collaboration with experimental colleagues, we use a combination of quantitative microscopy, image processing, agent-based modeling, and kinetic theory PDEs to uncover the mechanisms of emergent collective behaviors.<\/div>\n","protected":false},"excerpt":{"rendered":"

Collective cell movement is critical to the emergent properties of many multicellular systems including microbial self-organization in biofilms, wound healing, and cancer metastasis. However, even the best-studied systems lack a … <\/p>\n

Continue reading “Uncovering the mechanisms of pattern formation and emergent collective behaviors in myxobacteria”<\/span><\/a><\/p>\n","protected":false},"author":5,"featured_media":0,"template":"","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","_uag_custom_page_level_css":"","_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[220],"class_list":["post-7585","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-biomedical-mathematics-seminar","cat_biomedical-mathematics-seminar"],"yoast_head":"\nUncovering the mechanisms of pattern formation and emergent collective behaviors in myxobacteria - Biomedical Mathematics Group<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ibs.re.kr\/bimag\/event\/understanding-trade-offs-in-biological-information-processing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Uncovering the mechanisms of pattern formation and emergent collective behaviors in myxobacteria - Biomedical Mathematics Group\" \/>\n<meta property=\"og:description\" content=\"Collective cell movement is critical to the emergent properties of many multicellular systems including microbial self-organization in biofilms, wound healing, and cancer metastasis. 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