Open AccessDynamic proteome profiling of human pluripotent stem cell‐derived pancreatic progenitors
Author(s) -
Loo Larry Sai Weng,
Vethe Heidrun,
Soetedjo Andreas Alvin Purnomo,
Paulo Joao A.,
Jasmen Joanita,
Jackson Nicholas,
Bjørlykke Yngvild,
Valdez Ivan A.,
Vaudel Marc,
Barsnes Harald,
Gygi Steven P.,
Ræder Helge,
Teo Adrian Kee Keong,
Kulkarni Rohit N.
Publication year - 2020
Publication title -
stem cells
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.159
H-Index - 229
eISSN - 1549-4918
pISSN - 1066-5099
DOI - 10.1002/stem.3135
Subject(s) - biology , induced pluripotent stem cell , proteomics , proteome , progenitor cell , microbiology and biotechnology , cellular differentiation , stem cell , computational biology , quantitative proteomics , embryonic stem cell , bioinformatics , genetics , gene
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.