Dynamic proteome profiling of human pluripotent stem cell-derived pancreatic progenitors.
Larry Sai Weng LooHeidrun VetheAndreas Alvin Purnomo SoetedjoJoao A PauloJoanita JasmenNicholas JacksonYngvild BjørlykkeIvan A ValdezMarc VaudelHarald BarsnesSteven P GygiHelge RaederAdrian Kee Keong TeoRohit N KulkarniPublished in: Stem cells (Dayton, Ohio) (2020)
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.
Keyphrases
- pluripotent stem cells
- mass spectrometry
- endothelial cells
- signaling pathway
- induced apoptosis
- cell fate
- high resolution
- small molecule
- induced pluripotent stem cells
- label free
- cell cycle arrest
- single cell
- pi k akt
- dna methylation
- gene expression
- oxidative stress
- genome wide
- cell death
- epithelial mesenchymal transition
- cell proliferation
- single molecule
- endoplasmic reticulum stress
- artificial intelligence