Quartet protein reference materials and datasets for multi-platform assessment of label-free proteomics

Author:

Tian Sha,Zhan Dongdong,Yu Ying,Wang Yunzhi,Liu Mingwei,Tan Subei,Li Yan,Song Lei,Qin Zhaoyu,Li Xianju,Liu Yang,Li Yao,Ji Shuhui,Wang Shanshan,Qin Zhaoyu,He Qingyu,Yin Xingfeng,Dai Lunzhi,Deng Haiteng,Peng Chao,Wu Ping,Tan Minjia,Jiang Jing,Zhang Yaoyang,Li Yunxia,Liu Wenqin,Chen Wei,Wang Rui,Zi Jin,Li Qidan,Bai Mingzhou,Wang Zeng,Mei Zhanlong,Cheng Zhongyi,Zhu Jun,Wu Xuemei,Yang Xing,Zhou Yue,Zheng Yuanting,He Fuchu,Qin Jun,Ding ChenORCID,

Abstract

Abstract Background Quantitative proteomics is an indispensable tool in life science research. However, there is a lack of reference materials for evaluating the reproducibility of label-free liquid chromatography-tandem mass spectrometry (LC–MS/MS)-based measurements among different instruments and laboratories. Results Here, we develop the Quartet standard as a proteome reference material with built-in truths, and distribute the same aliquots to 15 laboratories with nine conventional LC–MS/MS platforms across six cities in China. Relative abundance of over 12,000 proteins on 816 mass spectrometry files are obtained and compared for reproducibility among the instruments and laboratories to ultimately generate proteomics benchmark datasets. There is a wide dynamic range of proteomes spanning about 7 orders of magnitude, and the injection order has marked effects on quantitative instead of qualitative characteristics. Conclusion Overall, the Quartet offers valuable standard materials and data resources for improving the quality control of proteomic analyses as well as the reproducibility and reliability of research findings.

Funder

National key research and development program

The National Natural Science Foundation of China

Program of Shanghai Academic/Technology Research Leader

Shuguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission

The Shanghai Municipal Science and Technology Major Project

The Major Project of Special Development Funds of Zhangjiang National Independent Innovation Demonstration Zone

The Fudan Original Research Personalized Support Project

Publisher

Springer Science and Business Media LLC

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3