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Human embryonic stem cells potentially represent an unlimited source of cells and tissues for regenerative medicine. Understanding signaling events that drive proliferation and specialization of these cells into various differentiated derivatives is of utmost importance for controlling their behavior in vitro. Major progress has been made in unraveling these signaling events with large-scale studies at the transcriptional level, but analysis of protein expression, interaction and modification has been more limited, since it requires different strategies. Recent advances in mass spectrometry-based proteomics indicate that proteome characterization can contribute significantly to our understanding of embryonic stem cell biology. In this article, we review mass spectrometry-based studies of human and mouse embryonic stem cells and their differentiated progeny, as well as studies of conditioned media that have been reported to support self-renewal of the undifferentiated cells in the absence of the more commonly used feeder cells. In addition, we make concise comparisons with related transcriptome profiling reports.
Pluripotent Stem Cells, Proteomics, Econometric and Statistical Methods: General, Geneeskunde (GENK), Gene Expression Profiling, Farmacie(FARM), Cell Culture Techniques, Cell Differentiation, Embryo, Mammalian, Coculture Techniques, Mass Spectrometry, Algemeen onderzoek, Farmacie/Biofarmaceutische wetenschappen (FARM), Other medical specialities, Mice, Animals, Humans, Geneeskunde(GENK)
Pluripotent Stem Cells, Proteomics, Econometric and Statistical Methods: General, Geneeskunde (GENK), Gene Expression Profiling, Farmacie(FARM), Cell Culture Techniques, Cell Differentiation, Embryo, Mammalian, Coculture Techniques, Mass Spectrometry, Algemeen onderzoek, Farmacie/Biofarmaceutische wetenschappen (FARM), Other medical specialities, Mice, Animals, Humans, Geneeskunde(GENK)
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 38 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% | 
