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PXD016057

PXD016057 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleAn intelligent Boosting to Amplify Signal with Isobaric Labeling (iBASIL) strategy for precise quantitative single-cell proteomics
DescriptionMass spectrometry (MS)-based proteomics has great potential for overcoming the limitations of antibody-based immunoassays for antibody-independent, comprehensive, and quantitative proteomic analysis of single cells. Indeed, recent advances in nanoscale sample preparation have enabled effective processing of single cells, In particular the concept of using boosting/carrier channels in isobaric labeling to increase the sensitivity in MS detection (e.g., our recent boosting to amplify signal with isobaric labeling (BASIL) approach1) has also been increasingly used for quantitative proteomic analysis of small-sized samples including single cells. However, the full potential of such boosting/carrier approaches has not been significantly explored, nor has the resulting quantitation quality been carefully evaluated. Herein, we have systematically evaluated and optimized the BASIL approach, originally developed for quantifying phosphorylation in small number of cells, for highly effective analysis of single cells. This improved, intelligent BASIL (iBASIL) approach enables comprehensive and quantitative single-cell proteomics analysis by carefully controlling the boosting-to-sample ratio and optimizing MS automatic gain control and ion injection time settings. Using standard LC-MS platforms, iBASIL enabled precise quantification of >1,000 proteins from 0.1 ng of peptide (equivalent to a single cell), or ~800 proteins from single FACS-isolated MCF10A cells. Moreover, coupling iBASIL to nanoscale fractionation enabled quantification of>1,438 proteins while readily separating 3 different cell lines using single-cell-equivalent peptides. We believe iBASIL has broad utility for comprehensive and precise quantitative single-cell proteomics for systems biology and biomedical research, as well as for comprehensive proteomic analysis of size-limited clinical specimens that cannot be readily accessed by regular proteomics platforms.
HostingRepositoryjPOST
AnnounceDate2020-03-05
AnnouncementXMLSubmission_2022-09-18_04:02:20.511.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterChia-Feng Tsai
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListS-carboxamidomethyl-L-cysteine; L-methionine sulfoxide; unknown modification; unknown modification; alpha-amino acetylated residue
InstrumentQ Exactive; LTQ Orbitrap
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-10-28 09:52:01ID requested
12020-03-05 10:36:38announced
22021-02-04 17:13:58announced2021-02-04: Updated FTP location.
32022-09-18 04:02:21announced2022-09-18: Updated FTP location.
Publication List
Tsai CF, Zhao R, Williams SM, Moore RJ, Schultz K, Chrisler WB, Pasa-Tolic L, Rodland KD, Smith RD, Shi T, Zhu Y, Liu T, An Improved Boosting to Amplify Signal with Isobaric Labeling (iBASIL) Strategy for Precise Quantitative Single-cell Proteomics. Mol Cell Proteomics, 19(5):828-838(2020) [pubmed]
Keyword List
submitter keyword: boosting ratio, automatic gain control (AGC), iBASIL, ion injection time (IT), single-cell proteomics
Contact List
Tao Liu
lab head
Chia-Feng Tsai
contact affiliationPacific Northwest National Laboratory
dataset submitter
Full Dataset Link List
jPOST dataset URI
Dataset FTP location
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