{"id":640,"date":"2018-04-20T17:41:59","date_gmt":"2018-04-20T22:41:59","guid":{"rendered":"http:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/?p=640"},"modified":"2018-04-20T17:47:06","modified_gmt":"2018-04-20T22:47:06","slug":"alignment-of-single-cell-trajectories-to-compare-cellular-expression-dynamics","status":"publish","type":"post","link":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/2018\/04\/20\/alignment-of-single-cell-trajectories-to-compare-cellular-expression-dynamics\/","title":{"rendered":"Alignment of single-cell trajectories to compare cellular expression dynamics"},"content":{"rendered":"<p>Our next meeting will be at 2pm on April 23rd, in room 4160 of the Discovery building. Our Selected paper is <a href=\"https:\/\/www.nature.com\/articles\/nmeth.4628\">Alignment of single-cell trajectories to compare cellular expression dynamics.<\/a><br \/>\nThe abstract is as follows.<\/p>\n<blockquote>\n<div class=\"panel-pane pane-highwire-markup\">\n<div class=\"pane-content\">\n<div class=\"highwire-markup\">\n<div id=\"content-block-markup\">\n<div class=\"article abstract-view \">\n<div id=\"abstract-1\" class=\"section abstract\">\n<p id=\"p-2\">Single-cell RNA sequencing and high-dimensional cytometry can be used to generate detailed trajectories of dynamic biological processes such as differentiation or development. Here we present cellAlign, a quantitative framework for comparing expression dynamics within and between single-cell trajectories. By applying cellAlign to mouse and human embryonic developmental trajectories, we systematically delineate differences in the temporal regulation of gene expression programs that would otherwise be masked.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/blockquote>\n<p>We welcome all who can join us for this discussion. Feel free to begin that discussion in the comments section below.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our next meeting will be at 2pm on April 23rd, in room 4160 of the Discovery building. Our Selected paper is Alignment of single-cell trajectories to compare cellular expression dynamics. The abstract is as follows. Single-cell RNA sequencing and high-dimensional cytometry can be used to generate detailed trajectories of dynamic biological processes such as differentiation [&hellip;]<\/p>\n","protected":false},"author":197,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[105,103,133],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/posts\/640"}],"collection":[{"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/users\/197"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/comments?post=640"}],"version-history":[{"count":2,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/posts\/640\/revisions"}],"predecessor-version":[{"id":644,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/posts\/640\/revisions\/644"}],"wp:attachment":[{"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/media?parent=640"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/categories?post=640"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/tags?post=640"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}