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Paper Details

Predictive network modeling in human induced pluripotent stem cells identifies key driver genes for insulin responsiveness.
PLoS Comput Biol
11
2020
IR, Insulin, Insulin resistance, RNA, SKMCs, T2D, cardiovascular disease, co-expression modules, driver genes, human, human adipocytes, human induced pluripotent stem cells, humans, iPSC, iPSC library, iPSC lines, induced pluripotent stem cell (iPSC) clones, induced pluripotent stem cells, insulin, key driver candidate genes, skeletal muscle cells, type 2 diabetes
Author NameAffiliation
Noam D BeckmannIcahn School of Medicine at Mount Sinai
Eric E SchadtInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
Eric E SchadtInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
Thomas QuertermousStanford University School of Medicine, Cardiovascular Institute, and Diabetes Research Center
Joshua W KnowlesStanford University School of Medicine, Cardiovascular Institute, and Diabetes Research Center
Rui ChangIcahn School of Medicine at Mount Sinai
Rui ChangUniversity of Arizona
Rui ChangThe Center for Innovations in Brain Sciences, University of Arizona
Rui ChangINTelico Therapeutics LLC
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