Author:
Xue Zhangzhi,Zhu Tiansheng,Zhang Fangfei,Zhang Cheng,Xiang Nan,Qian Liujia,Yi Xiao,Sun Yaoting,Liu Wei,Cai Xue,Wang Linyan,Dai Xizhe,Yue Liang,Li Lu,Pham Thang V.,Piersma Sander R.,Xiao Qi,Luo Meng,Lu Cong,Zhu Jiang,Zhao Yongfu,Wang Guangzhi,Xiao Junhong,Liu Tong,Liu Zhiyu,He Yi,Wu Qijun,Gong Tingting,Zhu Jianqin,Zheng Zhiguo,Ye Juan,Li Yan,Jimenez Connie R.,Jun A,Guo Tiannan
Abstract
SummaryA comprehensive pan-human spectral library is critical for biomarker discovery using mass spectrometry (MS)-based proteomics. DPHL v1, a previous pan-human library built from 1096 data-dependent acquisition (DDA) MS data of 16 human tissue types, allows quantifying 10,943 proteins. However, a major limitation of DPHL v1 is the lack of semi-tryptic peptides and protein isoforms, which are abundant in clinical specimens. Here, we generated DPHL v2 from 1608 DDA-MS data acquired using Orbitrap mass spectrometers. The data included 586 DDA-MS newly acquired from 17 tissue types, while 1022 files were derived from DPHL v1. DPHL v2 thus comprises data from 24 sample types, including several cancer types (lung, breast, kidney, and prostate cancer, among others). We generated four variants of DPHL v2 to include semi-tryptic peptides and protein isoforms. DPHL v2 was then applied to a publicly available colorectal cancer dataset with 286 DIA-MS files. The numbers of identified and significantly dysregulated proteins increased by at least 21.7% and 14.2%, respectively, compared with DPHL v1. Our findings show that the increased human proteome coverage of DPHL v2 provides larger pools of potential protein biomarkers.
Publisher
Cold Spring Harbor Laboratory