<<< Full experiment listing

PXD026008-1

PXD026008 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleFacile one-pot nanoproteomics for label-free proteome profiling of 50-1000 mammalian cells
Description We report a facile one-pot nanoproteomics method termed SOPs-MS (Surfactant-assisted One-Pot sample processing at the standard volume coupled with MS) for convenient proteome profiling of 50-1000 mammalian cells. Building upon our recent development of SOP-MS for label-free single-cell proteomics at low µL volume (Commun Bio 2021, 4, 265), we have systematically evaluated its processing volume at 10-200 µL using 100 human cells for robust reproducible nanoproteomic analysis. The processing volume of 50 µL which is in the range of volume for standard proteomics sample preparation, has been selected for easy sample handling with benchtop micropipette. Using the commonly accessible LC-MS platform, SOPs-MS allows for reliable label-free quantification of ~1,200-2,700 protein groups from 50-1000 MCF10A cells.
HostingRepositoryjPOST
AnnounceDate2022-05-14
AnnouncementXMLSubmission_2022-05-13_08:00:03.756.xml
DigitalObjectIdentifier
ReviewLevelNon peer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterTaiTu Lin
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606; scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListS-carboxymethyl-L-cysteine; L-methionine sulfoxide
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-05-13 18:22:18ID requested
12022-05-13 08:00:04announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: SOPs-MS, nanoproteomics, small numbers of cells, surfactant DDM, colon crypt cells
Contact List
Tujin Shi
lab head
TaiTu Lin
contact affiliationPNNL
dataset submitter
Full Dataset Link List
jPOST dataset URI
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.biosciencedbc.jp/archive/jpostrepos/JPST001174