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个人信息Personal Information
助理教授
性别:女
毕业院校:上海交通大学
学位:博士
所在单位:医学部
办公地点:厚坤楼
联系方式:
个人简介Personal Profile
董群,助理教授,硕士生导师。本硕毕业于哈尔滨医科大学,师从李霞教授(国务院特殊津贴获得者,创办了我国首个生物信息学本科专业);博士毕业于上海交通大学生物信息学与生物统计学系,师从李婧教授。研究方向聚焦于基于大数据的复杂疾病分子机制解析,旨在通过多组学整合与算法创新推动精准医学发展。研究工作主要围绕三个层面展开,形成 “资源建设-机制解析-方法开发” 的完整研究链条:构建高质量的多组学数据资源与分析平台,为复杂疾病研究提供系统性数据支撑;依托丰富的数据资源,系统解析肿瘤发生发展的分子机制及潜在生物标志物;针对关键技术瓶颈,开发高效算法和工具,提升数据解析的准确性与生物学解释力。近年来,以第一作者(含共同第一作者)在Nature Cancer 、Molecular & Cellular Proteomics 、Theranostics 、Briefings in Bioinformatics 、Journal of Translational Medicine 和 iScience 等国际高水平期刊发表论文十余篇,并担任 Briefings in Bioinformatics 等国际权威期刊审稿人。
团队负责人刘晨光教授为教育部长江学者奖励计划青年学者、大连市高端人才,并担任SCI期刊Biotechnol Appl Biochem副主编。课题组现面向海内外招收博士研究生、硕士研究生及博士后研究人员,同时长期欢迎对生物信息学、人工智能与肿瘤多组学感兴趣的本科生、硕士生及联合培养学生加入团队,共同开展数据驱动的疾病机制解析与转化医学研究。2026年度博士、硕士研究生招生名额现已开放,欢迎有意向的同学联系交流。
代表性论文
[1] Dong, B.†, Xu, J.†, Huang, Y.†, Guo, J.†, Dong, Q.†, Wang, Y.†, Li, N., Liu, Q., Zhang, M., Pan, Q., Wang, H., Jiang, J., Chen, B., Shen, D., Ma, Y., Zhai, L., Zhang, J., Li, J., Xue, W., Tan, M., Qin, J. Integrative proteogenomic profiling of high-risk prostate cancer samples from Chinese patients indicates metabolic vulnerabilities and diagnostic biomarkers. Nature Cancer, 2024; 1-21.
[2] Dong, Q., Tan, M., Zhou, Y., Zhang, Y., Li, J. Causal Inference and Annotation of Phosphoproteomics Data in Multi-omics Cancer Studies. Molecular & Cellular Proteomics, 2025; 24(3):100905.
[3] Dong, Q.†, Li, F.†, Xu, Y.†, Xiao, J.†, Xu, Y., Shang, D., Zhang, C., Yang, H., Tian, Z., Mi, K., Li, X., & Zhang, Y. RNAactDrug: a comprehensive database of RNAs associated with drug sensitivity from multi-omics data. Briefings in Bioinformatics, 2020; 21(6):2167-2174.
[4] Dong, Q., Shen, D., Ye, J., Chen, J., Li, J. PhosCancer: A Comprehensive Database for Investigating Protein Phosphorylation in Human Cancer. iScience, 2024; 27(11):111060.
[5] Xu, Y.†, Dong, Q.†, Li, F., Xu, Y., Hu, C., Wang, J., Shang, D., Zheng, X., Yang, H., Zhang, C., Shao, M., Meng, M., Xiong, Z., Li, X., & Zhang, Y. Identifying subpathway signatures for individualized anticancer drug response by integrating multi-omics data. Journal of Translational Medicine, 2019; 17(1):255.
[6] Wu, B.†, Song, M.†, Dong, Q.†, Xiang, G., Li, J., Ma, X., & Wei, F. UBR5 promotes tumor immune evasion through enhancing IFN-γ-induced PDL1 transcription in triple negative breast cancer. Theranostics, 2022; 12(11):5086-5102.
[7] Xu, Y.†, Wu, T.†, Li, F.†, Dong, Q.†, Wang, J., Shang, D., Xu, Y., Zhang, C., Dou, Y., Hu, C., Yang, H., Zheng, X., Zhang, Y., Wang, L., & Li, X. Identification and comprehensive characterization of lncRNAs with copy number variations and their driving transcriptional perturbed subpathways reveal functional significance for cancer. Briefings in Bioinformatics, 2020; 21(6):2153-2166.
[8] Li, F.†, Wu, T.†, Xu, Y.†, Dong, Q.†, Xiao, J., Xu, Y., Li, Q., Zhang, C., Gao, J., Liu, L., Hu, X., Huang, J., Li, X., & Zhang, Y. A comprehensive overview of oncogenic pathways in human cancer. Briefings in Bioinformatics, 2020; 21(3):957-969.
