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張澤民

郵  箱: zemin (AT) pku.edu.cn

職  稱:教授

辦公室電話:62768190

辦公室地址:北京市海澱區頤和園路5号,綜合科研2号樓,100871

所屬實驗室:張澤民實驗室

實驗室電話:62768190

個人主頁:http://cancer-pku.cn/

  • 個人簡介
  • 代表性論文
  • 實驗室簡介

個人介紹:

張澤民,北京大學生物醫學前沿創新中心研究員、副主任,北京大學未來基因診斷高精尖創新中心研究員,中國“海外高層次人才”計劃,長江特聘教授,北大-清華生命科學聯合中心高級研究員。

1988年本科畢業于南開大學生物系, 1989年由 CUSBEA 項目赴美留學。1995年研究生畢業于賓州州立大學生物化學和分子生物學專業, 獲得博士學位 ;1995-1998年在美國舊金山加州大學進行博士後研究工作。1998年起任職于美國 GENENTECH 公司開始生物信息學研究, 曾任博士後導師, 生物信息學部主任, 生物信息首席科學家。前期主要工作包括: 在世界上首次報道實體癌的全基因組測序; 首次在全基因組水平研究病毒插入事件在肝癌發生發展中的作用; 首次通過計算方法鑒别癌症的驅動突變。通過對癌症高通量數據的分析, 成功地發現了多種特異性抗癌靶點, 獲得60多項美國專利授權。2014 年加入北京大學。2017年獲The Boehringer Ingelheim Investigator Award,2017年獲Bayer Investigator Award, 相關成果入選2017年度中國十大醫學科技新聞、2017年度中國生命科學十大進展、細胞出版社2017和2019中國年度論文、2018和2019年度中國生物信息十大進展、2020年細胞雜志最佳論文。

1. 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, 184:792-809

2. L. Zheng and Z. Zhang*. (2021) Decoding the genetic basis of anti-tumor immunity. Immunity, 54:199-201,

3. 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) COVID-19 immune features revealed by a large-scale single cell transcriptome atlas, Cell, https://doi.org/10.1016/j.cell.2021.01.053

4. B. Liu, C. Li, Z. Li, D. Wang, X. Ren, and Z. Zhang*. (2020) An entropy-based metric for assessing the purity of single cell populations, Nature Communications, 11:3155

5. X. Ren*, G. Zhong, Q. Zhang, L. Zhang, Y. Sun and Z. Zhang*. (2020) Reconstruction of cell spatial organization from single-cell RNA sequencing data based on ligand-receptor mediated self-assembly, Cell Research, 30:763-778

6. Q. Zhang and Z. Zhang. (2020) Stepwise immune alterations in multiple myeloma progression. Nature Cancer, 1:477-479

7. 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

8. C. Li, B. Liu, B. Kang, Z. Liu, Y. Liu, C. Chen, X. Ren*, and Z. Zhang*. (2020) SciBet as a portable and fast single cell type identifier. Nature Communications, 11:1818

9. 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, H. Kilpinen, 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) Genomic basis for RNA alterations in cancer. Nature, 578:129-136

10. The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium. (2020) Pan-cancer analysis of whole genomes. Nature, 578:82–93

11. 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) High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations. Nature Communications, 11:736

12. 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) A roadmap for the next decade in cancer research. Nature Cancer, 1:12-17

13. 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) Distinct epigenetic features of tumor-reactive CD8+ T cells in colorectal cancer patients revealed by genome-wide DNA methylation analysis. Genome Biology, 21:2

14. Y. Zhang and Z. Zhang*. (2020) The history and advances in cancer immunotherapy: understanding the characteristics of tumor-infiltrating immune cells and their therapeutic implications. Cellular & Molecular Immunology, 17(8):807-821

15. F. Liu, Y. Zhang, L. Zhang, Z. Li, Q. Fang, R. Gao, and Z. Zhang. (2019) Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data. Genome Biology, 20:242

16. 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.

17. 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) Stress–glucocorticoid–TSC22D3 axis compromises therapy-induced antitumor immunity. Nature Medicine, 26:1428-1441.

18. 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. (2019) hCINAP regulates the DNA-damage response and mediates the resistance of acute myelocytic leukemia cells to therapy. Nature Communications, 10: 3812.

19. Z. Tang, B. Kang, C. Li, T. Chen, and Z. Zhang. (2019) GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis. Nucleic Acids Research, 47:W556-W560

20. L. Zhang and Z. Zhang. (2019) Recharacterizing tumor-infiltrating lymphocytes by single-cell RNA sequencing. Cancer Immunology Research, 7:1040-1046.

21. 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) Lineage tracking reveals dynamic relationships of T cells in colorectal cancer. Nature, 564:268-272

22. 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) Global characterization of T cells in non-small cell lung cancer by single-cell sequencing. Nature Medicine, 24:978-985

23. X. Ren*, B. Kang, and Z. Zhang*. (2018) Understanding tumor ecosystems by single-cell sequencing: promises and limitations. Genome Biology, 19:211

24. 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) Landscape of infiltrating T cells in liver cancer revealed by single-cell sequencing. Cell, 169(7), 1342–1356

25. Z. Tang, C. Li, B. Kang, G. Gao, C. Li, and Z. Zhang. (2017) GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Research, 45(W1):W98-W102

26. X. Hu and Z. Zhang. (2016) Understanding the genetic mechanisms of cancer drug resistance using genomic approaches. Trends in Genetics, 32(2):127-37

27. C. Klijn, S. Durinck, E. Stawiski, P. M. Haverty, Z. Jiang, H. Liu, J. Degenhardt, O. Mayba, F. Gnad, J. Liu, G. Pau, J. Reeder, Y. Cao, K. Mukhyala, S. K. Selvaraj, M. Yu, G. J. Zynda, M. J. Brauer, T. D. Wu, R. C. Gentleman, G. Manning, R. L. Yauch, R. Bourgon, D. Stokoe, Z. Modrusan, R. M. Neve, F. J. de Sauvage, J. Settleman*, S. Seshagiri*, and Z. Zhang* (2015) A comprehensive transcriptional portrait of human cancer cell lines. Nature Biotechnology, 33:305-315

28. S. Jhunjhunwala, Z. Jiang, E. W. Stawiski, F. Gnad, J. Liu, O. Mayba, P. Du, J. Diao, C. Santos, K-F Wong, Z. Gao, Y. Li, S. Johnson, H. M. Stern, T. D. Wu, S. B. Kapadia, Z. Modrusan, J. M. Luk, D. M. French, S. Seshagiri, and Z. Zhang (2014) Diverse modes of genomic alterations in hepatocellular carcinoma. Genome Biology, 15:436

29. J. Liu, M. McCleland, E. Stawiski, F. Gnad, P. M. Haverty, S. Durinck, Y-J. Chen, C. Klijn, O. Mayba, S. Jhunjhunwala, M. Lawrence, H. Liu, Y. Wan, V. Chopra, W. Yuan, C. Ha, H. Gilbert, J. Reeder, G. Pau, J. Stinson, H. Stern, G. Manning, T. D. Wu, R. Neve, F. J. de Sauvage, Z. Modrusan, S. Seshagiri, R. Firestein, and Z. Zhang (2014), Integrated exome and transcriptome sequencing reveals ZAK isoform usage in gastric cancer. Nature Communications, 5:3830

30. O. Mayba, H. N. Gilbert, J. Liu, P. M. Haverty, S. Jhunjhunwala, Z. Jiang, C. Watanabe, and Z. Zhang (2014) Allele specific expression detection in cancer tissues and cell lines by MBASED. Genome Biology, 15:405

31. Z. Zhang (2012), Genomic landscape of liver cancer. Nature Genetics, 44: 1075-1077

32. J. Liu, W. Lee, Z. Chen, Z. Jiang, S. Jhunjhunwala, P. M Haverty, F. Gnad, Y. Guan, H. Gilbert, J. Stinson, C. Klijn, J. Guillory, D. Bhatt, S. Vartanian, K. Walter, J. Chan, P. Dijkgraaf, S. Johnson, J. Koeman, J. Minna, A. Gazdar, H. M. Stern, K. P. Hoeflich, T. D. Wu, F. J. de Sauvage, R. C. Gentleman, R. M. Neve, D. Stokoe, Z. Modrusan, S. Seshagiri, D. S. Shames, Z. Zhang (2012) Genome and transcriptome sequencing of lung cancers reveal diverse mutational and splicing events. Genome Research, 22:2315-2327

33. S. Seshagiri, E. Stawiski, S. Durinck, Z. Modrusan, E. Storm, C. B. Conboy, S. Chaudhuri, Y. Guan, V. Janakiraman, B. S. Jaiswal, J. Guillory, C. Ha, G. J. P. Dijkgraaf, J. Stinson, F. Gnad, M. Huntley, J. D. Degenhardt, P. M. Haverty, R. Bourgon, W. Wang, H. Koeppan, R. Gentleman, T. K. Starr, Z. Zhang, D. A. Largaespada, T. D. Wu and F. J. de Sauvage (2012) Recurrent R-spondin fusions in colon cancer. Nature, 488, 660–664

34. Z. Jiang*, S. Jhunihunwala*, J. Liu, P. Haverty, K. Pant, M. I. Kennemer, P. Carnevali, Y. Guan, J. Stinson, P. Dijkgraaf, J. Rae, S. Johnson, C. Watanabe, J. Diao, S. Kapadia, F. de Sauvage, R. Gentleman, H. Stern, S. Seshagiri, Z. Modrusan, D. Ballinger, Z. Zhang (2012) The effects of hepatitis B virus integration into the genomes of hepatocellular carcinoma patients. Genome Research, 22:593-601

35. W. Lee, Z. Jiang, J. Liu, P. M. Haverty, Y. Guan, J. Stinson, P. Yue, Y. Zhang, K. P. Pant, D. Bhatt, C. Ha, S. Johnson., M. I. Kennemer, S. Mohan, I. Nazarenko, C. Watanabe, A. B. Sparks, D. S. Shames, R. Gentleman, F. J. de Sauvage, H. Stern, A. Pandita, D. G. Ballinger, R. Drmanac, Z. Modrusan, S. Seshagiri, and Z. Zhang (2010) The mutation spectrum revealed by paired genome sequences from a lung cancer patient. Nature, 465:473-477

36. Z. Kan, B. S. Jaiswal, J. Stinson, V. Janakiraman, D. Bhatt, H. M. Stern, P. Yue, P. M. Haverty, R. Bourgon, J. Zheng, M. Moorhead, S. Chaudhuri, L. P. Tomsho, B. A. Peters, K. Pujara, S. Cordes, D. P. Davis, V. E. Carlton, W. Yuan, L. Li, W. Wang, C. Eigenbrot, J. S. Kaminker, D. A. Eberhard, P. Waring, S. C. Schuster, Z. Modrusan, Z. Zhang, D. Stokoe, F. J. de Sauvage, M. Faham and S. Seshagiri. (2010) Diverse somatic mutation patterns and pathway alterations in human cancers. Nature, 466: 869-873

37. J. Liu, Y. Zhang, X. Lei, and Z. Zhang. (2008) Natural selection of protein structural and functional properties: a SNP perspective. Genome Biology, 9(4): R69

38. N. Kayagaki, Q. Phung, S. Chan, R. Chaudhari, C. Quan, K. M. O`Rourke, M. Eby, E. Pietras, G. Cheng, J. F. Bazan, Z. Zhang, D. Arnott, and V. M. Dixit. (2007) DUBA: a deubiquitinase that regulates type I interferon production. Science, 318: 1628-1632

39. L. D. Wood, D. W. Parsons, S. Jones, J. Lin, T. Sjöblom, R. J. Leary, D. Shen, S. M. Boca, T. Barber, J. Ptak, N. Silliman, S. Szabo, Z. Dezso, V. Ustyanksky, T. Nikolskaya, Y. Nikolsky, R. Karchin, P. A. Wilson, J. S. Kaminker, Z. Zhang, R. Croshaw, J. Willis, D. Dawson, M. Shipitsin, J. K. V. Willson, S. Sukumar, K. Polyak, B. H. Park, C. L. Pethiyagoda, P. V. K. Pant, D. G. Ballinger, A. B. Sparks, J. Hartigan, D. R. Smith, E. Suh, N. Papadopoulos, P. Buckhaults, S. D. Markowitz, G. Parmigiani, K. W. Kinzler, V. E. Velculescu, and B. Vogelstein. (2007) The genomic landscapes of human breast and colorectal cancers. Science, 318: 1108-1113

40. L. S. Hon and Z. Zhang. (2007) The roles of binding site arrangement and combinatorial targeting in microRNA repression of gene expression. Genome Biology, 8 (8): R166

41. J. S. Kaminker, Y. Zhang, C. Watanabe, and Z. Zhang. (2007) CanPredict: A computational tool for predicting missense cancer-associated mutations. Nucleic Acids Research, 35: W595-598

42. Y. Zhang, S-M Luoh, L. S. Hon, R. Baertsch, W. I. Wood and Z. Zhang. (2007) GeneHub-GEPIS: Digital expression profiling for normal and cancer tissues based on an integrated gene database. Nucleic Acids Research, 35: W152-158

43. J. S. Kaminker, Y. Zhang, A. Waugh, P. Haverty, J. Stinson, B. Peters, D. Sebisanovic, W. F. Forrest, J. F. Bazan, S. Seshagiri, and Z. Zhang. (2007) Distinguishing cancer associated missense mutations from common polymorphisms. Cancer Research, 67: 465-473

44. Y. Zhang, D. Eberhard, G. D. Frantz, P. Dowd, T. D. Wu, C. Watanabe, Y. Zhou, P. Polakis, K. J. Hillan, W. I. Wood, and Z. Zhang. (2004) GEPIS – Quantitative gene expression profiling in normal and cancer tissues. Bioinformatics, 20: 2390-2398

45. I. E. Wertz, K. M. O’Rourke, Z. Zhang, D. Dornan, D. Arnott, R. J. Deshaies, and V. M. Dixit. (2004) Human De-etiolated-1 regulates c-Jun by assembling a CUL4A ubiquitin ligase. Science, 303: 1371-1374

46. Y. Zhou, S-M. Luoh, Y. Zhang, C. Watanabe, T. D. Wu, M. Ostland, W. I. Wood, and Z. Zhang. (2003) Genome-wide identification of chromosome regions of increased tumor expression by transcriptome analysis. Cancer Research, 63: 5781-5784

張澤民實驗室緻力于用前沿的基因組學和生物信息學技術來解決癌症生物學中的重要問題,利用計算和實驗相結合方法來揭示腫瘤發生過程、腫瘤微環境和對藥物響應中的系統變化和重要遺傳因素,以推進癌症免疫治療和靶向治療的發展。主要的研究方向包括:一,應用單細胞測序技術來研究腫瘤微環境特别是腫瘤浸潤免疫細胞的精确組成、相互作用、以及功能狀态;二,研究腫瘤的異質性、基因組機制、及其對耐藥性的影響;三,開發原創的生物信息學工具和數據庫,來進行單細胞基因組數據和癌症基因組大數據的整合、分析和可視化,以揭示癌症的亞型、驅動基因以及其他緻癌因素的遺傳基礎,從而發現新型癌症靶點和标記物。


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