Rm. 306, Integrated Science Research Center No.2,Peking University
Dr. Zemin Zhang obtained hs Bachler degree in Genetics from Nankai University, and PhD in Biochemistry and Molecular Biology from Penn State University. He received additional training in Information Technology from UC Berkeley and postdoctoral trainings in Laboratory Medicine from UC San Francisco.Prior to joining Peking University, Dr. Zhang spent over 16 years at Genentech/Roche, leading the cancer genomics and bioinformatics group to discover anticancer targets and biomarkers using new technologies such as machine learning and high throughput sequencing. He has pioneered multiple research directions in computational cancer biology and cancer genomics including the first ever whole genome tumor sequencing. He is also an inventor for 60 issued US patents and has directly contributed to the initial finding of the molecular targets of multiple cancer therapeutic agents in clinical trials. He is on the editorial boards for journals including Cell Systems and Genome Medicine. He is a CUSBEA Scholar.
Zhang Lab is devoted to using the cutting-edge genomics and bioinformatics technologies to study critical issues of cancer biology, including revealing the genetic and immune factors underlying tumorigenesis, tumor microenvironment and drug resistance. The current main research directions include: 1) applying single cell sequencing technology to dissect tumor microenvironment, especially the accurate composition and functional status of tumor-infiltrating immune cells; 2) dissecting the heterogeneity of tumor and the impact on cancer biology and drug resistance; 3) developing innovative bioinformatics tools and resources to analyze, integrate, and visualize single-cell genomic data and large-scale cancer genomic data to reveal novel targets as well as the genomic mechanisms underlying tumor heterogeneity and immune response differences.
1. B. Liu, X. Hu, K. Feng, R. Gao, Z. Xue, S. Zhang, Y. Zhang, E. Corse, Y. Hu, W. Han*, and Z. Zhang*. (2022) Temporal single-cell tracing reveals clonal revival and expansion of precursor exhausted T cells during anti-PD-1 therapy in lung cancer. Nat Cancer， 3:108–121
2. L. Zheng, S. Qin, W. Si, A. Wang, B. Xing, R. Gao, X. Ren, L. Wang, X. Wu, J. Zhang, N. Wu, N. Zhang, H. Zhang, H. Ouyang, K. Chen, Z. Bu*, X. Hu*, J. Ji*and Z. Zhang*. (2021) Pan-cancer single-cell landscape of tumor-infiltrating T cells. Science, 374, eabe6474, DOI: 10.1126/science.abe6474
3. S. Cheng, Z. Li, R. Gao, B. Xing, Y. Gao, Y. Yang, S. Qin, L. Zhang, H. Ouyang, P. Du, L. Jiang, B. Zhang, Y. Yang, X. Wang, X. Ren, J. Bei, X. Hu, Z. Bu*, J. Ji*, and Z. Zhang*. (2021) A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells. Cell, 184(3): 792-809
4. X. Ren, W. Wen, X. Fan, W. Hou, B. Su, P.i Cai, J. Li, Y. Liu, F. Tang, F. Zhang, Y. Yang, J. He, W. Ma, J. He, P. Wang, … P. Zhou*, Q. Jiang*, Z. Huang*, J-X Bei*, L. Wei*, X-W Bian*, X. Liu*, T Cheng*, X. Li*, P. Zhao*, F-S Wang*, H. Wang*, B. Su*, Z. Zhang*, K. Qu*, X. Wang*, J. Chen*, R. Jin*, and Z. Zhang*, (2021) COVID-19 immune features revealed by a large-scale single cell transcriptome atlas, Cell, 184:1895-1913
5. L. Zhang, Z. Li, K. M. Skrzypczynska, Q. Fang, W. Zhang, S. A. O’Brien, Y. He, L. Wang, Q. Zhang, A. Kim, R. Gao, J. Orf, T. Wang, D. Sawant, J. Kang, D. Bhatt, D. Lu, C-M Li, A. Rapaport, K. Perez, Y. Ye, S. Wang, X. Hu, X. Ren, W. Ouyang, Z. Shen*, J.G. Egen*, Z Zhang*, and X. Yu*. (2020) Single-cell analyses inform mechanisms of myeloid-targeted therapies in colon cancer.Cell, 181:442-459
6. Q. Zhang, Y. He, N. Luo, S. J. Patel, Y. Han, R. Gao, M. Modak, S. Carotta, C. Haslinger, D. Kind, G. W. Peet, G. Zhong, S. Lu, W. Zhu, Y. Mao, M. Xiao, M. Bergmann, X. Hu, S. P. Kerkar, A. B. Vogt, S. Pflanz, K. Liu*, J. Peng*, X. Ren*, and Z. Zhang* (2019) Landscape and dynamics of single immune cells in hepatocellular carcinoma. Cell, 179:829-845
7. L. Zhang, X. Yu, L. Zheng, Y. Zhang, Y. Li, Q. Fang, R. Gao, B. Kang, Q. Zhang, J.Y. Huang, H. Konno, X. Guo, Y. Ye, S. Gao, S. Wang, X. Hu, X. Ren, Z. Shen*, W. Ouyang*, and Z. Zhang*. (2019) Lineage tracking reveals dynamic relationships of T cells in colorectal cancer. Nature, 564:268-272