Professor | Zemin Zhang | Asia Growth Partners

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Name	Zemin Zhang
Contact Information	zemin (AT) pku.edu.cn
Language ability	Chinese, English
Province	Beijing

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Name

Zemin Zhang

Contact Information

zemin (AT) pku.edu.cn

Language ability

Chinese, English

Province

Beijing

University/Lab Affiliation and Title	Peking University
Faculty	Life Sciences
Academic Background & Achievements	1988 - BSc in Biology from Nankai University 1995 - PhD in Biochemistry and Molecular Biology from Pennsylvania State University Over 60 US patents granted Significant contributions to genomic sequencing of solid tumors and identification of cancer driver mutations
Work Experience	1995-1998 - Postdoctoral Researcher at University of California, San Francisco 1998 onwards - Various roles including Postdoctoral Mentor, Head of Bioinformatics Department, and Chief Scientific Officer in Bioinformatics at Genentech
Awards	2017: The Boehringer Ingelheim Investigator Award 2017: Bayer Investigator Award

University/Lab Affiliation and Title

Peking University

Faculty

Life Sciences

Academic Background & Achievements

1988 - BSc in Biology from Nankai University
1995 - PhD in Biochemistry and Molecular Biology from Pennsylvania State University
Over 60 US patents granted
Significant contributions to genomic sequencing of solid tumors and identification of cancer driver mutations

Work Experience

1995-1998 - Postdoctoral Researcher at University of California, San Francisco
1998 onwards - Various roles including Postdoctoral Mentor, Head of Bioinformatics Department, and Chief Scientific Officer in Bioinformatics at Genentech

Awards

2017: The Boehringer Ingelheim Investigator Award
2017: Bayer Investigator Award

Areas of Focus	Genomics and bioinformatics technologies in cancer biology Tumor microenvironment and drug response using computational and experimental methods Development of bioinformatics tools and databases for cancer genomics
Publications	A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells, 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 Decoding the genetic basis of anti-tumor immunity, L. Zheng and Z. Zhang, 2021 COVID-19 immune features revealed by a large-scale single cell transcriptome atlas, 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, Z. Zhang, 2021 An entropy-based metric for assessing the purity of single cell populations, B. Liu, C. Li, Z. Li, D. Wang, X. Ren, and Z. Zhang, 2020 Reconstruction of cell spatial organization from single-cell RNA sequencing data based on ligand-receptor mediated self-assembly, X. Ren, G. Zhong, Q. Zhang, L. Zhang, Y. Sun and Z. Zhang, 2020 Stepwise immune alterations in multiple myeloma progression, Q. Zhang and Z. Zhang, 2020 Single-cell analyses inform mechanisms of myeloid-targeted therapies in colon cancer, 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 SciBet as a portable and fast single cell type identifier, C. Li, B. Liu, B. Kang, Z. Liu, Y. Liu, C. Chen, X. Ren, and Z. Zhang, 2020 Genomic basis for RNA alterations in cancer, PCAWG Transcriptome Core Group, C. Calabrese, N. R. Davidson, D. Demircioğlu, N. A. Fonseca, Y. He, A. Kahles, K-V Lehmann, F. Liu, Y. Shiraishi, C. M. Soulette, L. Urban, L. Greger, S. Li, D. Liu, M. D. Perry, Q. Xiang, F. Zhang, J. Zhang, P. Bailey, S. Erkek, K. A. Hoadley, Y. Hou, M. R. Huska, J. O. Korbel, M. G. Marin, J. Markowski, T. Nandi, Q. Pan-Hammarström, C. S. Pedamallu, R. Siebert, S. G. Stark, H. Su, P. Tan, S. M. Waszak, C. Yung, S. Zhu, P. Awadalla, C. J. Creighton, M. Meyerson, B. F. Ouellette, K. Wu, H. Yang, PCAWG Transcriptome Working Group, A. Brazma, A. N. Brooks, J. Göke, G. Rätsch, R. F. Schwarz, O. Stegle, Z. Zhang, PCAWG Consortium, 2020 Pan-cancer analysis of whole genomes, The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, 2020 High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations, Y. Zhang, F. Chen, N. A. Fonseca, Y. He, M. Fujita, H. Nakagawa, Z. Zhang, A. Brazma, PCAWG Transcriptome Working Group, PCAWG Structural Variation Working Group, C. J. Creighton, PCAWG Consortium, 2020 A roadmap for the next decade in cancer research, R. Bernards, E. Jaffee, J. A. Joyce, S. W. Lowe, E. R. Mardis, S. J. Morrison, K. Polyak, C. L. Sears, K. H. Vousden, and Z. Zhang, 2020 Distinct epigenetic features of tumor-reactive CD8+ T cells in colorectal cancer patients revealed by genome-wide DNA methylation analysis, R. Yang, S. Cheng, N. Luo, R. Gao, K. Yu, B. Kang, L. Wang, Q. Zhang, Q. Fang, L. Zhang, C. Li, A. He, X. Hu, J. Peng, X. Ren, and Z. Zhang, 2020 The history and advances in cancer immunotherapy: understanding the characteristics of tumor-infiltrating immune cells and their therapeutic implications, Y. Zhang and Z. Zhang, 2020 Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data, F. Liu, Y. Zhang, L. Zhang, Z. Li, Q. Fang, R. Gao, and Z. Zhang, 2019 Landscape and dynamics of single immune cells in hepatocellular carcinoma, 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 Stress–glucocorticoid–TSC22D3 axis compromises therapy-induced antitumor immunity, H. Yang, L. Xia, J. Chen, S. Zhang, V. Martin, Q. Li, S. Lin, J. Chen, J. Calmette, M. Lu, L. Fu, J. Yang, Z. Pan, K. Yu, J. He, E.Morand, G. Schlecht-Louf, R. Krzysiek, L. Zitvogel, B. Kang, Z. Zhang, A. Leader, P. Zhou, L. Lanfumey, M. Shi, G. Kroemer, and Y. Ma, 2019 hCINAP regulates the DNA-damage response and mediates the resistance of acute myelocytic leukemia cells to therapy, R. Xu, S. Yu, D. Zhu, X. Huang, Y. Xu, Y. Lao, Y. Tian, J. Zhang, Z. Tang, Z. Zhang, J. Yi, H. Zhu, and X. Zheng GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis, Z. Tang, B. Kang, C. Li, T. Chen, and Z. Zhang, 2019 Recharacterizing tumor-infiltrating lymphocytes by single-cell RNA sequencing, L. Zhang and Z. Zhang, 2019 Lineage tracking reveals dynamic relationships of T cells in colorectal cancer, 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, 2018 Global characterization of T cells in non-small cell lung cancer by single-cell sequencing, X. Guo, Y. Zhang, L. Zheng, C. Zheng, J. Song, Q. Zhang, B. Kang, Z. Liu, L. Jin, R. Xing, R. Gao, L. Zhang, M. Dong, X. Hu, X. Ren, D. Kirchhoff, H. G. Roider, T. Yan, and Z. Zhang, 2018 Understanding tumor ecosystems by single-cell sequencing: promises and limitations, X. Ren, B. Kang, and Z. Zhang, 2018 Landscape of infiltrating T cells in liver cancer revealed by single-cell sequencing, C. Zheng, L. Zheng, J.-K. Yoo, H. Guo, Y. Zhang, X. Guo, B. Kang, R. Hu, J. Y. Huang, Q. Zhang, Z. Liu, M. Dong, X. Hu, W. Ouyang, J. Peng, and Z. Zhang, 2017 GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses, Z. Tang, C. Li, B. Kang, G. Gao, C. Li, and Z. Zhang, 2017 Understanding the genetic mechanisms of cancer drug resistance using genomic approaches, X. Hu and Z. Zhang, 2016 A comprehensive transcriptional portrait of human cancer cell lines, C. Klijn, S. Durinck,

Areas of Focus

Genomics and bioinformatics technologies in cancer biology
Tumor microenvironment and drug response using computational and experimental methods
Development of bioinformatics tools and databases for cancer genomics

Publications

A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells, 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
Decoding the genetic basis of anti-tumor immunity, L. Zheng and Z. Zhang, 2021
COVID-19 immune features revealed by a large-scale single cell transcriptome atlas, 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, Z. Zhang, 2021
An entropy-based metric for assessing the purity of single cell populations, B. Liu, C. Li, Z. Li, D. Wang, X. Ren, and Z. Zhang, 2020
Reconstruction of cell spatial organization from single-cell RNA sequencing data based on ligand-receptor mediated self-assembly, X. Ren, G. Zhong, Q. Zhang, L. Zhang, Y. Sun and Z. Zhang, 2020
Stepwise immune alterations in multiple myeloma progression, Q. Zhang and Z. Zhang, 2020
Single-cell analyses inform mechanisms of myeloid-targeted therapies in colon cancer, 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
SciBet as a portable and fast single cell type identifier, C. Li, B. Liu, B. Kang, Z. Liu, Y. Liu, C. Chen, X. Ren, and Z. Zhang, 2020
Genomic basis for RNA alterations in cancer, PCAWG Transcriptome Core Group, C. Calabrese, N. R. Davidson, D. Demircioğlu, N. A. Fonseca, Y. He, A. Kahles, K-V Lehmann, F. Liu, Y. Shiraishi, C. M. Soulette, L. Urban, L. Greger, S. Li, D. Liu, M. D. Perry, Q. Xiang, F. Zhang, J. Zhang, P. Bailey, S. Erkek, K. A. Hoadley, Y. Hou, M. R. Huska, J. O. Korbel, M. G. Marin, J. Markowski, T. Nandi, Q. Pan-Hammarström, C. S. Pedamallu, R. Siebert, S. G. Stark, H. Su, P. Tan, S. M. Waszak, C. Yung, S. Zhu, P. Awadalla, C. J. Creighton, M. Meyerson, B. F. Ouellette, K. Wu, H. Yang, PCAWG Transcriptome Working Group, A. Brazma, A. N. Brooks, J. Göke, G. Rätsch, R. F. Schwarz, O. Stegle, Z. Zhang, PCAWG Consortium, 2020
Pan-cancer analysis of whole genomes, The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, 2020
High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations, Y. Zhang, F. Chen, N. A. Fonseca, Y. He, M. Fujita, H. Nakagawa, Z. Zhang, A. Brazma, PCAWG Transcriptome Working Group, PCAWG Structural Variation Working Group, C. J. Creighton, PCAWG Consortium, 2020
A roadmap for the next decade in cancer research, R. Bernards, E. Jaffee, J. A. Joyce, S. W. Lowe, E. R. Mardis, S. J. Morrison, K. Polyak, C. L. Sears, K. H. Vousden, and Z. Zhang, 2020
Distinct epigenetic features of tumor-reactive CD8+ T cells in colorectal cancer patients revealed by genome-wide DNA methylation analysis, R. Yang, S. Cheng, N. Luo, R. Gao, K. Yu, B. Kang, L. Wang, Q. Zhang, Q. Fang, L. Zhang, C. Li, A. He, X. Hu, J. Peng, X. Ren, and Z. Zhang, 2020
The history and advances in cancer immunotherapy: understanding the characteristics of tumor-infiltrating immune cells and their therapeutic implications, Y. Zhang and Z. Zhang, 2020
Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data, F. Liu, Y. Zhang, L. Zhang, Z. Li, Q. Fang, R. Gao, and Z. Zhang, 2019
Landscape and dynamics of single immune cells in hepatocellular carcinoma, 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
Stress–glucocorticoid–TSC22D3 axis compromises therapy-induced antitumor immunity, H. Yang, L. Xia, J. Chen, S. Zhang, V. Martin, Q. Li, S. Lin, J. Chen, J. Calmette, M. Lu, L. Fu, J. Yang, Z. Pan, K. Yu, J. He, E.Morand, G. Schlecht-Louf, R. Krzysiek, L. Zitvogel, B. Kang, Z. Zhang, A. Leader, P. Zhou, L. Lanfumey, M. Shi, G. Kroemer, and Y. Ma, 2019
hCINAP regulates the DNA-damage response and mediates the resistance of acute myelocytic leukemia cells to therapy, R. Xu, S. Yu, D. Zhu, X. Huang, Y. Xu, Y. Lao, Y. Tian, J. Zhang, Z. Tang, Z. Zhang, J. Yi, H. Zhu, and X. Zheng
GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis, Z. Tang, B. Kang, C. Li, T. Chen, and Z. Zhang, 2019
Recharacterizing tumor-infiltrating lymphocytes by single-cell RNA sequencing, L. Zhang and Z. Zhang, 2019
Lineage tracking reveals dynamic relationships of T cells in colorectal cancer, 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, 2018
Global characterization of T cells in non-small cell lung cancer by single-cell sequencing, X. Guo, Y. Zhang, L. Zheng, C. Zheng, J. Song, Q. Zhang, B. Kang, Z. Liu, L. Jin, R. Xing, R. Gao, L. Zhang, M. Dong, X. Hu, X. Ren, D. Kirchhoff, H. G. Roider, T. Yan, and Z. Zhang, 2018
Understanding tumor ecosystems by single-cell sequencing: promises and limitations, X. Ren, B. Kang, and Z. Zhang, 2018
Landscape of infiltrating T cells in liver cancer revealed by single-cell sequencing, C. Zheng, L. Zheng, J.-K. Yoo, H. Guo, Y. Zhang, X. Guo, B. Kang, R. Hu, J. Y. Huang, Q. Zhang, Z. Liu, M. Dong, X. Hu, W. Ouyang, J. Peng, and Z. Zhang, 2017
GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses, Z. Tang, C. Li, B. Kang, G. Gao, C. Li, and Z. Zhang, 2017
Understanding the genetic mechanisms of cancer drug resistance using genomic approaches, X. Hu and Z. Zhang, 2016
A comprehensive transcriptional portrait of human cancer cell lines, C. Klijn, S. Durinck,

Genomics Bioinformatics Cancer Biology Tumor Microenvironment Drug Response Computational Methods Experimental Methods Bioinformatics Tools Cancer Genomics Databases

Qi Liu - Tongji University

Guifen Liu - Tongji University

Kailin Tang - Tongji University

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