秦钧 Jun Qin

秦钧教授是国家特聘专家，北京市特聘专家。是世界上少数几位将质谱仪设计、蛋白质组学方法开发、生物信息学、生物学及临床应用纳入同一个研究项目的学者之一。在蛋白质复合体研究方面，建立了国际领先的蛋白质复合体纯化和鉴定方法；在蛋白质网络研究方面，建立了世界上最大的内源性人蛋白质复合体数据集；在DNA损伤修复开展了大量卓有成效的研究工作；成功建立了国际上最高效的蛋白质组扫描平台；利用转录因子可与其特异性DNA序列结合的特点，设计研发catTFRE用来富集细胞/组织中内源性转录因子和转录调控复合物；主持开发建设了国际上第一个一站式蛋白质组学数据分析云平台Firmiana；绘制了首个弥漫型胃癌的蛋白质组地形图，并将弥漫型胃癌分为与生存预后和化疗敏感性密切相关的三个分子亚型；绘制了首个解剖区域分辨率的健康人胃黏膜蛋白质组参考图谱，并建立了胃粘膜在生理条件下的蛋白质组的定量参考范围；率先开展并建立覆盖个体内及个体间差异和生理性波动的人尿蛋白质组定量参考范围，并开展重大疾病尿蛋白相关研究。主持和参与多项国家和省部级项目，包括国家国际科学合作项目（项目首席）、973计划（项目首席）、国家重点研发计划、国家自然科学基金面上项目、北京市科委项目等。以责任作者身份在Cell、Nature Biotechnology、Nature Communications、Molecular Cell、Genes & Developments和PNAS等期刊发表系列文章。发表文章总计超过120篇。

Professor Jun Qin is a nationally distinguished expert and Beijing distinguished expert. He is one of the few scholars in the world who integrates mass spectrometer design, proteomics method development, bioinformatics, biology, and clinical applications into the same research project. In protein complex research, he has established internationally leading protein complex purification and identification methods; in protein network research, he has established the world’s largest endogenous human protein complex dataset; has conducted extensive and fruitful research on DNA damage repair; successfully established the most efficient proteome scanning platform internationally; utilizing the characteristic that transcription factors can bind to their specific DNA sequences, designed and developed catTFRE to enrich endogenous transcription factors and transcriptional regulatory complexes in cells/tissues; led the development and construction of the world’s first one-stop proteomics data analysis cloud platform Firmiana; mapped the first proteomic landscape of diffuse gastric cancer and classified diffuse gastric cancer into three molecular subtypes closely related to survival prognosis and chemotherapy sensitivity; mapped the first anatomically resolved proteomic reference atlas of healthy human gastric mucosa and established quantitative reference ranges for the gastric mucosal proteome under physiological conditions; pioneered the establishment of quantitative reference ranges for human urine proteome covering intra-individual and inter-individual differences and physiological fluctuations, and conducted research on urinary proteins related to major diseases. He has led and participated in multiple national and provincial projects, including National International Science Cooperation Projects (Chief Investigator), 973 Program (Chief Investigator), National Key R&D Program, National Natural Science Foundation General Projects, and Beijing Science and Technology Commission projects. As corresponding author, he has published a series of articles in journals such as Cell, Nature Biotechnology, Nature Communications, Molecular Cell, Genes & Development, and PNAS. Total publications exceed 120 articles.

1. Zhan D, Zheng N, Zhao B, Cheng F, Tang Q, Liu X, Wang J, Wang Y, Liu H, Li X, Su J, Zhong X, Bu Q, Cheng Y, Wang Y, Qin J. Expanding individualized therapeutic options via genoproteomics. Cancer Lett. 2023 Apr 28;560:216123.
2. Li X, Zheng NR, Wang LH, Li ZW, Liu ZC, Fan H, Wang Y, Dai J, Ni XT, Wei X, Liu MW, Li K, Li ZX, Zhou T, Zhang Y, Zhang JY, Kadeerhan G, Huang S, Wu WH, Liu WD, Wu XZ, Zhang LF, Xu JM, Gerhard M, You WC, Pan KF, Li WQ, Qin J. Proteomic profiling identifies signatures associated with progression of precancerous gastric lesions and risk of early gastric cancer. EBioMedicine. 2021 Dec;74:103714.
3. Yu Z, Li X, Quan Y, Chen J, Liu J, Zheng N, Liu S, Wang Y, Liu W, Qiu C, Wang Y, Zheng R, Qin J. Itaconate alleviates diet-induced obesity via activation of brown adipocyte thermogenesis. Cell Rep. 2024 May 28;43(5):114142.