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PXD010856 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitlemPOP SCoPE-MS Master Mix 20180824
DescriptionA major limitation to applying quantitative LC-MS/MS proteomics to small samples, such as single cells, are the losses incured during sample cleanup. To relieve this limitation, we developed a Minimal ProteOmic sample Preparation (mPOP) method for culture-grown mammalian cells. mPOP obviates cleanup and thus eliminates cleanup-related losses while expediting sample preparation and simplifying its automation. Bulk SILAC samples processed by mPOP or by conventional urea-based methods indicated that mPOP results in complete cell lysis and accurate relative quantification. We integrated mPOP lysis with the Single Cell ProtEomics by Mass Spectrometry (SCoPE-MS) sample preparation, and benchmarked the quantification of such samples on a Q-exactive instrument. The results demonstrate low noise and high technical reproducibility. Then, we FACS sorted single U-937, HEK-293, and mouse embryonic stem cells into 96-well plates and analyzed them by automated mPOP and SCoPE-MS. The quantified proteins enabled separating the single cells by cell-type and cell-division-cycle phase.
ReviewLevelNon peer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterHarrison Specht
SpeciesList scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606;
ModificationListOxidation; Acetyl
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02018-08-23 14:57:43ID requested
12018-08-23 15:14:00announced
Publication List
no publication
Keyword List
submitter keyword: single cell, single-cell, SCoPE-MS, mPOP, low input, automated, lysis
Contact List
Nikolai Slavov
contact affiliationNortheastern University
contact emailnslavov@alum.mit.edu
lab head
Harrison Specht
contact affiliationNortheastern University
contact emailspecht.h@husky.neu.edu
dataset submitter
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