期刊
SCIENTIFIC DATA
卷 7, 期 1, 页码 -出版社
NATURE RESEARCH
DOI: 10.1038/s41597-020-00744-3
关键词
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资金
- International Postgraduate Research Scholarship, The University of Queensland, Brisbane, Australia
- PhD Top-up Scholarship, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- NHMRC CDF Level 2 Fellowship [1131732]
- NHMRC [1108064]
- Perpetual Program [IPAP2015/0691]
- National Institutes for Health, National Institute of General Medical Sciences [R01GM087221]
- National Health and Medical Research Council of Australia [1108064] Funding Source: NHMRC
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 similar to 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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