Proteomics

Dataset Information

0

Identification of mouse embryonic fibroblast secreted protein factors that are responsible for reprogramming human pluripotent stem cell metabolism


ABSTRACT: Previously we found that human pluripotent stem cells (hPSCs) utilize glucose differently depending on the presence of the feeder cells, which are mouse embryonic fibroblasts, or MEFs. More specifically, feeder-free cultured hPSCs are more reliant on glycolysis for proliferation. Therefore, we hypothesized that secreted factors by MEFs might be responsible for reprogramming the metabolism of hPSCs. To test this hypothesis, we separated the components in the MEF-conditioned medium by using size-based fractionation columns, and tested whether each fraction alters the reliance of feeder-free hPSCs on glucose. We concluded that it was the protein fraction of the MEF-conditioned medium potentially responsible for reprogramming glycolytic metabolism in hPSCs. To further understand which specific protein(s) could alter the metabolism of hPSCs, we here conduct mass spectrometry based proteomics experiment.

INSTRUMENT(S): LTQ

ORGANISM(S): Mus Musculus (mouse)

SUBMITTER: Wen Gu  

LAB HEAD: Wen Gu

PROVIDER: PXD013662 | Pride | 2022-04-01

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
PeptideReportfor110713EWGuID.xlsx Xlsx
SpectrumCountReportfor110713EWGuID.xlsx Xlsx
Items per page:
1 - 2 of 2
altmetric image

Publications

Fast Deisotoping Algorithm and Its Implementation in the MSFragger Search Engine.

Teo Guo Ci GC   Polasky Daniel A DA   Yu Fengchao F   Nesvizhskii Alexey I AI  

Journal of proteome research 20201217 1


Deisotoping, or the process of removing peaks in a mass spectrum resulting from the incorporation of naturally occurring heavy isotopes, has long been used to reduce complexity and improve the effectiveness of spectral annotation methods in proteomics. We have previously described MSFragger, an ultrafast search engine for proteomics, that did not utilize deisotoping in processing input spectra. Here, we present a new, high-speed parallelized deisotoping algorithm, based on elements of several ex  ...[more]

Similar Datasets

| MSV000086068 | MassIVE
2008-03-12 | GSE9094 | GEO
2011-01-12 | GSE19902 | GEO
2011-01-12 | E-GEOD-19902 | biostudies-arrayexpress
2008-03-12 | GSE9059 | GEO
2017-02-09 | GSE66439 | GEO
2018-10-24 | GSE99009 | GEO
2009-03-04 | E-GEOD-15109 | biostudies-arrayexpress
2009-03-05 | GSE15110 | GEO
2009-03-15 | E-GEOD-15110 | biostudies-arrayexpress