{"id":2732,"date":"2022-02-14T12:55:49","date_gmt":"2022-02-14T17:55:49","guid":{"rendered":"https:\/\/www.med.unc.edu\/genetics\/purvislab\/?page_id=2732"},"modified":"2024-01-06T18:35:09","modified_gmt":"2024-01-06T23:35:09","slug":"collaborators","status":"publish","type":"page","link":"https:\/\/www.med.unc.edu\/genetics\/purvislab\/people-2\/collaborators\/","title":{"rendered":"Collaborators"},"content":{"rendered":"

Michael Kosorok\u00a0<\/strong>
\nDidong Li<\/strong>
\nWe work with\u00a0Michael Kosorok<\/a>\u00a0and\u00a0Didong Li<\/a>\u00a0to apply manifold approximation methods to study the cell cycle. For example, we used trajectory inference to determine\u00a0how the cell cycle responds to breast cancer therapy<\/a>\u00a0and\u00a0Spherical Principal Components Analysis<\/a>\u00a0to parameterize the cell cycle across different conditions and cell types.<\/p>\n

Phil Spanheimer<\/strong>
\nWe work with\u00a0Phil Spanheimer<\/a>\u00a0to acquire primary breast tumor samples for single-cell analysis. We are particularly interested in understanding\u00a0how these tumor become resistance to cancer therapy<\/a>\u00a0and how to use them as predictive biomarkers of patient response.<\/p>\n

Adriana Beltran<\/strong>
\nWe work closely with Adriana Beltran<\/a>, who directs the human pluripotent stem cell core, to understand\u00a0early fate decisions in human embryonic stem cells<\/a>.<\/p>\n

Jean Cook<\/strong>
\nWe have worked with\u00a0Jean Cook<\/a>\u00a0for several years to understand the\u00a0overall organization of the cell cycle<\/a>. This collaboration has led to the development of\u00a0new measurement tools<\/a>\u00a0and\u00a0computational modeling strategies<\/a>.<\/p>\n

Mike Emanuele\u00a0<\/strong>
\nOur growing collaboration with\u00a0Mike Emanuele<\/a>\u00a0is teaching us about the importance of\u00a0degradation of key cell cycle regulators<\/a>.<\/p>\n

Gaorav Gupta\u00a0<\/strong>
\nWe collaborate with\u00a0Gaorav Gupta<\/a>\u00a0to understand how\u00a0cell cycle dynamics<\/a>\u00a0are disturbed by\u00a0DNA damage<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Michael Kosorok\u00a0 Didong Li We work with\u00a0Michael Kosorok\u00a0and\u00a0Didong Li\u00a0to apply manifold approximation methods to study the cell cycle. For example, we used trajectory inference to determine\u00a0how the cell cycle responds to breast cancer therapy\u00a0and\u00a0Spherical Principal Components Analysis\u00a0to parameterize the cell cycle across different conditions and cell types. Phil Spanheimer We work with\u00a0Phil Spanheimer\u00a0to acquire primary … Read more<\/a><\/p>\n","protected":false},"author":100174,"featured_media":0,"parent":2345,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-2732","page","type-page","status-publish","hentry","odd"],"acf":[],"_links_to":[],"_links_to_target":[],"_links":{"self":[{"href":"https:\/\/www.med.unc.edu\/genetics\/purvislab\/wp-json\/wp\/v2\/pages\/2732","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.med.unc.edu\/genetics\/purvislab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.med.unc.edu\/genetics\/purvislab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.med.unc.edu\/genetics\/purvislab\/wp-json\/wp\/v2\/users\/100174"}],"replies":[{"embeddable":true,"href":"https:\/\/www.med.unc.edu\/genetics\/purvislab\/wp-json\/wp\/v2\/comments?post=2732"}],"version-history":[{"count":0,"href":"https:\/\/www.med.unc.edu\/genetics\/purvislab\/wp-json\/wp\/v2\/pages\/2732\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/www.med.unc.edu\/genetics\/purvislab\/wp-json\/wp\/v2\/pages\/2345"}],"wp:attachment":[{"href":"https:\/\/www.med.unc.edu\/genetics\/purvislab\/wp-json\/wp\/v2\/media?parent=2732"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}