ArticleScientific data2020
A primary human T-cell spectral library to facilitate large scale quantitative T-cell proteomics.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- A reference database enabling in-depth proteome and PTM analysis of mouse immune cells.Scientific data · 2025Article
- A shotgun proteomic dataset of human mucosal-associated invariant T cells.Data in brief · 2024Article
- Comprehensive immune cell spectral library for large-scale human primary T, B, and NK cell proteomics.Scientific data · 2024Article
- Optimizing Spectronaut Search Parameters to Improve Data Quality with Minimal Proteome Coverage Reductions in DIA Analyses of Heterogeneous Samples.Journal of proteome research · 2024Article
- Integrative temporal multi-omics reveals uncoupling of transcriptome and proteome during human T cell activation.NPJ systems biology and applications · 2024Article
- Implementing the reuse of public DIA proteomics datasets: from the PRIDE database to Expression Atlas.Scientific data · 2022Article
- Applications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research.Molecules (Basel, Switzerland) · 2022Review
- A high-resolution mass spectrometry based proteomic dataset of human regulatory T cells.Data in brief · 2022Article
- Expression of CD49f defines subsets of human regulatory T cells with divergent transcriptional landscape and function that correlate with ulcerative colitis disease activity.Clinical & translational immunology · 2021Article
- A primary human T-cell spectral library to facilitate large scale quantitative T-cell proteomics.Scientific data · 2020Article
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Authors and funding
12 authors at 6 institutions in 4 countries.
Funding
Abstract
Data independent analysis (DIA) exemplified by sequential window acquisition of all theoretical mass spectra (SWATH-MS) provides robust quantitative proteomics data, but the lack of a public primary human T-cell spectral library is a current resource gap. Here, we report the generation of a high-quality spectral library containing data for 4,833 distinct proteins from human T-cells across genetically unrelated donors, covering ~24% proteins of the UniProt/SwissProt reviewed human proteome. SWATH-MS analysis of 18 primary T-cell samples using the new human T-cell spectral library reliably identified and quantified 2,850 proteins at 1% false discovery rate (FDR). In comparison, the larger Pan-human spectral library identified and quantified 2,794 T-cell proteins in the same dataset. As the libraries identified an overlapping set of proteins, combining the two libraries resulted in quantification of 4,078 human T-cell proteins. Collectively, this large data archive will be a useful public resource for human T-cell proteomic studies. The human T-cell library is available at SWATHAtlas and the data are available via ProteomeXchange (PXD019446 and PXD019542) and PeptideAtlas (PASS01587).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.