A primary human T-cell spectral library to facilitate large scale quantitative T-cell proteomics
Weerakoon, Harshi, Potriquet, Jeremy, Shah, Alok K., Reed, Sarah, Jayakody, Buddhika, Kapil, Charu, Midha, Mukul K., Moritz, Robert L., Lepletier, Ailin, Mulvenna, Jason, Miles, John J., and Hill, Michelle M. (2020) A primary human T-cell spectral library to facilitate large scale quantitative T-cell proteomics. Scientific Data, 7 (1). 412.
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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).
| Item ID: | 66036 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 2052-4463 |
| Keywords: | Data acquisition; Lymphocyte activation; Mass spectrometry; Proteomic analysis; Proteomics |
| Copyright Information: | © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
| Funders: | National Health and Medical Research Council (NHMRC), Perpetual, National Institutes for Health, University of Queensland (UQ), QIMR Berghofer Medical Research Institute |
| Projects and Grants: | NHMRC grant 1108064, Perpetual Program IPAP2015/0691, NIH National Institute of General Medical Sciences grant: R01GM087221 |
| Research Data: | https://doi.org/10.6084/m9.figshare.12991619 |
| Date Deposited: | 16 Mar 2021 09:20 |
| FoR Codes: | 31 BIOLOGICAL SCIENCES > 3101 Biochemistry and cell biology > 310199 Biochemistry and cell biology not elsewhere classified @ 100% |
| SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280103 Expanding knowledge in the biomedical and clinical sciences @ 100% |
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