Stem Cells · 2019 · 11 citations · 37 references
Life SciencesCell BiologyDevelopmental BiologyProteomicsSignal TransductionStem Cell BiologyBottom-up ProteomicsFunctional ProteomicsProteomic ProfilingQuantitative ProteomicsStem Cell Signaling PathwaysCell Fate DecisionsCellular Differentiation TrajectoriesPancreatic Endocrine ProgenitorsProteome DynamicsProteome-wide ProfilingProteome-wide Time Course AnalysisProteomic Data AnalysisStem Cell Fate Decisions
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.
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TANDEM: matching proteins with tandem mass spectra
Robertson Craig, Ronald C. Beavis · Bioinformatics · 2004 · 2.6K citations · Full text
Generation of Functional Human Pancreatic β Cells In Vitro
Felicia W. Pagliuca, Jeffrey R. Millman, Mads Gürtler et al. · Cell · 2014 · 2K citations · Full text