A first dataset toward a standardized community-driven global mapping of the human immunopeptidome

被引:10
作者
Faridi, Pouya [1 ,2 ]
Aebersold, Ruedi [3 ,4 ]
Caron, Etienne [3 ]
机构
[1] Shiraz Univ Med Sci, Sch Pharm, Dept Phytopharmaceut, Shiraz, Iran
[2] Shiraz Univ Med Sci, Pharmaceut Sci Res Ctr, Shiraz, Iran
[3] Swiss Fed Inst Technol, Inst Mol Syst Biol, Dept Biol, Zurich, Switzerland
[4] Univ Zurich, Fac Sci, Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
Immunology; HLA; Peptidomics; Mass spectrometry;
D O I
10.1016/j.dib.2016.02.016
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We present the first standardized HLA peptidomics dataset generated by the immunopeptidomics community. The dataset is composed of native HLA class I peptides as well as synthetic HLA class II peptides that were acquired in data-dependent acquisition mode using multiple types of mass spectrometers. All laboratories used the spiked-in landmark iRT peptides for retention time normalization and data analysis. The mass spectrometric data were deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD001872. The generated data were used to build HLA allele-specific peptide spectral and assay libraries, which were stored in the SWATHAtIas database. Data presented here are described in more detail in the original eLife article entitled 'An open-source computational and data resource to analyze digital maps of immunopeptidomes'. (C) 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.
引用
收藏
页码:201 / 205
页数:5
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