Dynamic proteome profiling of human pluripotent stem cell-derived pancreatic progenitors

Larry Sai Weng Loo(Agency for Science, Technology and Research), Heidrun Vethe(Joslin Diabetes Center), Andreas Alvin Purnomo Soetedjo(Agency for Science, Technology and Research), João A. Paulo(Harvard University), Joanita Binte Jasmen(Agency for Science, Technology and Research), Nicholas Jackson(Joslin Diabetes Center), Yngvild Bjørlykke(University of Bergen), Ivan Valdez(Joslin Diabetes Center), Marc Vaudel(University of Bergen), Harald Barsnes(University of Bergen), Steven P. Gygi(Harvard University), Helge Ræder(Haukeland University Hospital), Adrian Kee Keong Teo(Agency for Science, Technology and Research), Rohit Kulkarni(Joslin Diabetes Center)
Stem Cells
December 12, 2019
Cited by 11Open Access
Full Text

Abstract

A comprehensive characterization of the molecular processes controlling cell fate decisions is essential to derive stable progenitors and terminally differentiated cells that are functional from human pluripotent stem cells (hPSCs). Here, we report the use of quantitative proteomics to describe early proteome adaptations during hPSC differentiation toward pancreatic progenitors. We report that the use of unbiased quantitative proteomics allows the simultaneous profiling of numerous proteins at multiple time points, and is a valuable tool to guide the discovery of signaling events and molecular signatures underlying cellular differentiation. We also monitored the activity level of pathways whose roles are pivotal in the early pancreas differentiation, including the Hippo signaling pathway. The quantitative proteomics data set provides insights into the dynamics of the global proteome during the transition of hPSCs from a pluripotent state toward pancreatic differentiation.


Related Papers

No related papers found

Powered by citation graph analysis