演讲嘉宾--赵中明

赵中明
赵中明
研究学习经历:

1991年浙江大学生物科学与技术系学士, 1996年北京大学遗传学硕士,1998年美国德克萨斯大学休斯顿健康医学中心生物数学硕士, 2000年美国德克萨斯大学休斯顿健康医学中心人类及分子遗传学博士,2002年美国休斯顿大学计算机科学硕士。 2003-2009 美国弗吉尼亚联邦大学助理教授。 2009-至今美国范德堡大学副教授,教授,美国范德堡大学英格拉姆癌症中心首席生物信息学家,及其生物信息资源中心主任。多年来致力于大规模复杂性生物数据的分析以及相关的方法研究。已担任15个国际期刊的编委(包括2个期刊的主编)。已发表论文217篇。

近期发表论文:
  1. Dahlman KB, Xia J, Hutchinson K, Ng C, Hucks D, Jia P, Atefi M, Su Z, Branch S, Lyle P, Hicks D, Bozon V, Glaspy J, Netterville JL, Vnencak-Jones C, Sosman J*, Ribas A*, Zhao Z* [co-corresponding author], Pao W* (2012) BRAF L597 mutations in melanoma are associated with sensitivity to MEK inhibitors. Cancer Discovery 2(9):791-797 [cover page of the September issue, commentary view on this paper: Garraway LA and Baselga J (2012) Whole-Genome Sequencing and Cancer Therapy: Is Too Much Ever Enough? Cancer Discovery 2(9): 766-768]
  2. Jia P, Jin H, Meador CB, Xia J, Ohashi K, Liu L, Pirazzoli V, Dahlman KB, Politi K, Michor F, Zhao Z* (co-corresponding author), Pao W* (2013) Next-generation sequencing of paired tyrosine kinase inhibitor-sensitive and -resistant EGFR mutant lung cancer cell lines identifies spectrum of DNA changes associated with drug resistance. Genome Research 23:1434-1445 [cover image/artwork of the issue]
  3. Lovly CM, McDonald NT, Chen H, Ortiz-Cuaran S, Heukamp LC, Yan Y, Florin A, Ozretić L, Lim D, Wang L, Chen Z, Chen X, Lu P, Paik PK, Shen R, Jin H, Buettner R, Ansén S, Perner S, Brockmann M, Bos M, Wolf J, Gardizi M, Wright GM, Solomon B, Russell PA, Rogers TM, Suehara Y, Red-Brewer M, Tieu R, de Stanchina E, Wang Q, Zhao Z, Johnson DH, Horn L, Wong KK, Thomas RK, Ladanyi M, Pao W (2014) Rationale for co-targeting IGF-1R and ALK in ALK fusion positive lung cancer. Nature Medicine 20(9):1027-34
  4. Jia P, Zhao Z* (2014) VarWalker: personalized mutation network analysis of putative cancer genes from next-generation sequencing data. PLoS Computational Biology 10(2): e1003460
  5. Jia P, Wang Q, Chen Q, Hutchinson K, Pao W, Zhao Z* (2014) MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysis. Genome Biology 15:489
  6. Cheng F, Jia P, Wang Q, Lin CC, Li WH, Zhao Z* (2014) Studying tumorigenesis through network evolution and somatic mutational perturbations in the cancer interactome. Molecular Biology and Evolution, 31(8):2156-2169
  7. Zhao Z, Xu J, Chen J, Kim S, Reimers M, Bacanu SA, Yu H, Liu C, Sun J, Wang Q, Jia P, Xu F, Zhang Y, Kendler KS, Peng Z, Chen X (2014) Transcriptome sequencing and genome-wide association analyses reveal lysosomal function and actin cytoskeleton remodeling in schizophrenia and bipolar disorder. Molecular Psychiatry, Advanced online access August 12, 2014
  8. Xu Y, Guo X, Sun J, Zhao Z* (2015) Snowball: resampling combined with distance-based regression to discover transcriptional consequences of a driver mutation. Bioinformatics 31(1):84-93.
会议报告摘要:
Informatics approaches to the identification of cancer mutations and genes for drug repurposing ( 4月22日,10:25 - 10:50 am)

As we entered the precision medicine and big data science era, there are many unmet challenges on identifying the disease related information from large, heterogeneous data, and translating the findings for clinical use. Among these challenges, one is how to effectively identify driver mutations and genes in cancer genomes, especially those with the potential for druggable targets for the development of molecularly targeted cancer therapies. In this talk, I will present informatics approaches for identifying cancer mutations and genes from large amount of somatic mutation data and our integrative network-based framework for identifying new druggable targets and anticancer indications from existing drugs. As a case study, we demonstrated our medical genetics-based repurposing an antidepressant drug that overcomes the resistance of tyrosine kinase inhibitors in non-small cell lung cancer patients

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第四届肿瘤基础和转化医学前沿国际研讨会