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PXD008985 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMass-spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation
DescriptionCellular heterogeneity is important to biological processes, including cancer and development. However, proteome heterogeneity is largely unexplored because of the limitations of existing methods for quantifying protein levels in single cells. To alleviate these limitations, we developed Single Cell ProtEomics by Mass Spectrometry (SCoPE-MS), and validated its ability to identify distinct human cancer cell types based on their proteomes. We used SCoPE-MS to quantify thousands of proteins in differentiating mouse embryonic stem (ES) cells. The single-cell proteomes enabled us to deconstruct cell populations and infer protein abundance relationships. Comparison between single-cell proteomes and transcriptomes indicated coordinated mRNA and protein covariation. Yet many genes exhibited functionally concerted and distinct regulatory patterns at the mRNA and the protein levels, suggesting that post-transcriptional regulatory mechanisms contribute to proteome remodeling during lineage specification, especially for developmental genes. SCoPE-MS is broadly applicable to measuring proteome configurations of single cells and linking them to functional phenotypes, such as cell type and differentiation potentials.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterNikolai Slavov
SpeciesList scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; scientific name: Mus musculus; common name: house mouse; NCBI TaxID: 10090;
InstrumentLTQ Orbitrap Elite; Orbitrap Fusion
Dataset History
RevisionDatetimeStatusChangeLog Entry
02018-02-19 08:34:58ID requested
12018-02-19 08:55:52announced
Publication List
Budnik B., Levy E., Harmange G., Slavov N. Mass-spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation. https://doi.org/10.1101/102681.
Keyword List
submitter keyword: stem cells, cancer, single cell, low input, TMT
Contact List
Nikolai Slavov
contact affiliationNortheastern University
contact emailn.slavov@northeastern.edu
lab head
Nikolai Slavov
contact affiliationHarvard University
contact emailnslavov@alum.mit.edu
dataset submitter
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Dataset FTP location
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