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PXD042398

PXD042398 is an original dataset announced via ProteomeXchange.

Dataset Summary
Title102-Plex Approach for Accurate and Multiplexed Proteome Quantification
DescriptionNumerous hyperplexing approaches have been developed to meet the demand for large-scale basic and clinical analysis. Currently, the analysis capacity has expanded to up to 54 samples within a single experiment by utilizing different isotopic and isobaric reagent combinations. In this report, we propose a super multiplexed approach to enable the analysis of up-to 102-plex samples within a single experiment. by the combination of our recently developed TAG-TMTpro and TAG-IBT16 labeling. We systematically investigated the identification and quantification performance of the 102-plex approach using the mixtures of E. coli and HeLa peptides. Our results revealed that all analyses demonstrated accurate and reliable quanti-fication performance. The combination of TAG-TMTpro and TAG-IBT16 approaches expands the multiplexing capacity to 102-plex, providing a more multiplexed quantification method for even larger-scale proteomic analysis.
HostingRepositoryPRIDE
AnnounceDate2024-01-15
AnnouncementXMLSubmission_2024-01-14_19:38:04.047.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterZhen Wu
SpeciesList scientific name: Escherichia coli; NCBI TaxID: 562; scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListS-carboxamidoethyl-L-cysteine; glycine residue; monohydroxylated residue; L-alanine residue
InstrumentOrbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-05-22 08:03:31ID requested
12024-01-14 19:38:04announced
Publication List
Wu Z, Huang X, Huang L, Zhang X, 102-Plex Approach for Accurate and Multiplexed Proteome Quantification. Anal Chem, 96(4):1402-1409(2024) [pubmed]
10.1021/acs.analchem.3c03036;
Keyword List
submitter keyword: multiplexing, quantitative proteomic analysis,102-Plex approach
Contact List
Xumin Zhang
contact affiliationState Key Laboratory of Genetic Engineering, Department of Biochemistry and Biophysics, School of Life Sciences, Fudan University, Shanghai 200438, China
contact emailxumin_zhang@fudan.edu.cn
lab head
Zhen Wu
contact affiliationState Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University
contact emailwuz16@fudan.edu.cn
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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