{"id":7356,"date":"2023-02-18T12:33:05","date_gmt":"2023-02-18T03:33:05","guid":{"rendered":"https:\/\/www.ibs.re.kr\/bimag\/?post_type=tribe_events&#038;p=7356"},"modified":"2023-05-29T10:12:04","modified_gmt":"2023-05-29T01:12:04","slug":"tbd-2","status":"publish","type":"tribe_events","link":"https:\/\/www.ibs.re.kr\/bimag\/event\/tbd-2\/","title":{"rendered":"Sushmita Roy, Deciphering gene regulatory networks underlying cell-fate specification"},"content":{"rendered":"<p>Abstract: <span style=\"font-size: 1rem;\">Cell fate specification is a dynamic process during which gene regulatory networks (GRNs) transition between different states and define cell type-specific patterns of gene expression. Identifying such cell type-specific gene regulatory networks is important for understanding how cells differentiate to diverse lineages from a progenitor state, how differentiated cells can be reprogrammed, and how these networks get disrupted in diseases such as cancer and developmental disorders. The advent of single cell omics has enabled us to perform high-throughput molecular phenotyping of individual cells at different omic levels. These technologies have revolutionized our understanding of cell type composition across diverse normal and disease conditions; however inferring cell type-specific networks and their dynamics from single cell omic datasets is an open challenge. I will present some of our recent efforts for inference and analysis of cell type-specific regulatory networks from single cell omic datasets. Application of our approach to hematopoietic differentiation and mouse cellular reprogramming predicted key regulatory nodes likely important for establishing different cell-type specific expression programs.<\/span><\/p>\n<div id=\"2996802308\" class=\"message text _message present\">\n<div class=\"msg-container\">\n<div class=\"msg-layout-flex\">\n<div class=\"msg-extra\">\n<div class=\"msg-extra-action _compile ng-scope\">\n<div class=\"normal-wrap\">\n<div class=\"msg-read-container ng-isolate-scope\"><\/div>\n<div class=\"function-area\">\n<div class=\"confirmable-action non-selectable _likeAction ng-isolate-scope\" style=\"box-sizing: border-box; outline: 0px; margin: 0px 3px 0px 0px; padding: 0px; color: #c2c2c2; font-size: 0.6875rem; line-height: 1.125rem; display: inline-block; word-break: keep-all; overflow-wrap: break-word; user-select: none; font-family: 'Helvetica Neue', 'Apple SD Gothic Neo', sans-serif, fontAwesome;\" data-id=\"3035018374 3035018374\"><\/div>\n<div class=\"feature-area\">\n<div class=\"hover-area\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div><\/div>\n<\/div>\n<div id=\"2996802322\" class=\"message text text-child _message present\">\n<div class=\"msg-container\">\n<div class=\"msg-layout-flex\"><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Abstract: Cell fate specification is a dynamic process during which gene regulatory networks (GRNs) transition between different states and define cell type-specific patterns of gene expression. Identifying such cell type-specific &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.ibs.re.kr\/bimag\/event\/tbd-2\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Sushmita Roy, Deciphering gene regulatory networks underlying cell-fate specification&#8221;<\/span><\/a><\/p>\n","protected":false},"author":5,"featured_media":7801,"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":[221],"class_list":["post-7356","tribe_events","type-tribe_events","status-publish","has-post-thumbnail","hentry","tribe_events_cat-biomedical-mathematics-colloquium","cat_biomedical-mathematics-colloquium"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Sushmita Roy, Deciphering gene regulatory networks underlying cell-fate specification - 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\/tbd-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sushmita Roy, Deciphering gene regulatory networks underlying cell-fate specification - Biomedical Mathematics Group\" \/>\n<meta property=\"og:description\" content=\"Abstract: Cell fate specification is a dynamic process during which gene regulatory networks (GRNs) transition between different states and define cell type-specific patterns of gene expression. 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