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PXD009217

PXD009217 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleQuantitative subcellular proteomics using SILAC reveals enhanced metabolic buffering in ground state pluripotency
DescriptionThe ground state of pluripotency is defined as a minimal unrestricted state as present in the Inner Cell Mass (ICM). Mouse embryonic stem cells (ESCs) grown in a defined serum-free medium with two kinase inhibitors (‘2i’) reflect this state, whereas ESCs grown in the presence of serum (‘serum’) share more similarities with post implantation epiblast cells. Pluripotency results from an intricate interplay between cytoplasmic, nuclear and chromatin-associated proteins. Therefore, quantitative information on the (sub)cellular proteome is essential to gain insight in the molecular mechanisms driving different pluripotent states. Here, we describe a full SILAC workflow and quality controls for proteomic comparison of 2i and serum ESCs. We demonstrate that this workflow is applicable for subcellular proteomics of the cytoplasm, nuclear and chromatin. The obtained quantitative information revealed increased levels of naïve pluripotency factors on the chromatin of 2i ESCs. Further, we demonstrate that these pluripotent states are supported by distinct metabolic programs, which include upregulation of free radical buffering by the glutathione pathway in 2i ESCs. Through induction of intracellular radicals, we show that the altered metabolic environment renders 2i ESCs less sensitive to oxidative stress. Altogether, this work provides novel insights into the proteome landscape underlying ground state pluripotency.
HostingRepositoryPRIDE
AnnounceDate2018-11-07
AnnouncementXMLSubmission_2018-11-07_01:36:45.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterGuido van Mierlo
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02018-03-15 07:05:08ID requested
12018-11-07 01:36:46announced
Publication List
van Mierlo G, Wester RA, Marks H, Quantitative subcellular proteomics using SILAC reveals enhanced metabolic buffering in the pluripotent ground state. Stem Cell Res, 33():135-145(2018) [pubmed]
Keyword List
curator keyword: Biological
submitter keyword: embryonic stem cells,metabolism,naïve pluripotency,SILAC
Contact List
Hendrik Marks
contact affiliationMolecular Biology, Radboud Institute for Molecular Life Sciences (RIMLS), Nijmegen, the Netherlands
contact emailH.Marks@ncmls.ru.nl
lab head
Guido van Mierlo
contact affiliationRadboud University
contact emailguidovanmierlo@gmail.com
dataset submitter
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Dataset FTP location
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