詹晓慧，女，博士，特聘副教授，硕士生导师

电子邮箱：xhzhan@cqmu.edu

 

 

工作及教育经历：

·         2020-至今  重庆医科大学基础医学院生物信息学教研室，特聘副教授

·         2018-2020     美国印第安纳大学医学院，助理研究员

·         2012-2017     中国科学院-马普学会计算生物学伙伴研究所，生物信息学，博士

·         2008-2012      西南交通大学生命科学与工程学院，生物信息学，学士

 

研究方向：

·         生物医学大数据整合与挖掘

通过对癌症组学数据和生物学功能异常的研究，探究癌症的发生发展机理。

·         生物模型的构建

运用生物信息学和计算生物学的方法建立分析计算模型，寻找肿瘤疾病分子标志物，探求肿瘤发生发展机制，为肿瘤的精准治疗提供线索。

·         精准医学图像和精准医学

通过整合病理图像与分子数据，探索不同细胞核或组织形态学特征的分子基础，为基于病理图像的靶向治疗提供重要思路。

 

发表论文

1. Zhan X, Liu Y, Yu CY, Wang TF, Zhang J, Ni D, Huang K. A pan-kidney cancer studyidentifies subtype specific perturbations on pathways with potential drivers in renal cell carcinoma. BMC Med Genomics. 2020 Dec 28;13(Suppl 11):190. doi: 10.1186/s12920-020-00827-5. PMID: 33371886; PMCID: PMC7771093.

2. Lu Z†, Zhan X†, Wu Y, Cheng J, Shao W, Ni D, Han Z, Zhang J, Feng Q, Huang K: A Deep Learning Approach for Tissue Spatial Quantification and Genomic Correlations of Histopathological Images. bioRxiv 2020.03.10.985887;（†共同一作）

3. Zhan X, Cheng J, Huang Z, Han Z, Helm B, Liu X, Zhang J, Wang TF, Ni D, Huang K. Correlation Analysis of Histopathology and Proteogenomics Data for Breast Cancer. Mol Cell Proteomics. 2019 Aug 9;18(8 suppl 1):S37-S51. doi: 10.1074/mcp.RA118.001232. Epub 2019 Jul 8. PMID: 31285282; PMCID: PMC6692775.

4. Zhan X, Dong C, Liu G, Li Y, Liu L. Panel of seven long noncoding RNA as a candidate prognostic biomarker for ovarian cancer. Onco Targets Ther. 2017 Jun 1;10:2805-2813. doi: 10.2147/OTT.S128797. PMID: 28620265; PMCID: PMC5466362.

5. Liu G†, Zhan X†, Dong C†, Liu L. Genomics alterations of metastatic and primary tissues across 15 cancer types. Sci Rep. 2017 Oct 16;7(1):13262. doi: 10.1038/s41598-017-13650-3. PMID: 29038591; PMCID: PMC5643378.（†共同一作）

6. Helm BR, Zhan X, Pandya PH, Murray ME, Pollok KE, Renbarger JL, Ferguson MJ, Han Z, Ni D, Zhang J, Huang K. Gene Co-Expression Networks Restructured Gene Fusion in Rhabdomyosarcoma Cancers. Genes (Basel). 2019 Aug 30;10(9):665. doi: 10.3390/genes10090665. PMID: 31480361; PMCID: PMC6770752.

7. Huang Z, Zhan X, Xiang S, Johnson TS, Helm B, Yu CY, Zhang J, Salama P, Rizkalla M, Han Z, Huang K. SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer. Front Genet. 2019 Mar 8;10:166. doi: 10.3389/fgene.2019.00166. PMID: 30906311; PMCID: PMC6419526.

8. Huang Z, Johnson TS, Han Z, Helm B, Cao S, Zhang C, Salama P, Rizkalla M, Yu CY, Cheng J, Xiang S, Zhan X, Zhang J, Huang K. Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations. BMC Med Genomics. 2020 Apr 3;13(Suppl 5):41. doi: 10.1186/s12920-020-0686-1. PMID: 32241264; PMCID: PMC7118823.

9. Yu CY, Xiang S, Huang Z, Johnson TS, Zhan X, Han Z, Abu Zaid M, Huang K. Gene Co-expression Network and Copy Number Variation Analyses Identify Transcription Factors Associated With Multiple Myeloma Progression. Front Genet. 2019 May 17;10:468. doi: 10.3389/fgene.2019.00468. PMID: 31156714; PMCID: PMC6533571.

10. Liu G, Dong C, Wang X, Hou G, Zheng Y, Xu H, Zhan X, Liu L. Regulatory activity based risk model identifies survival of stage II and III colorectal carcinoma. Oncotarget. 2017 Sep 28;8(58):98360-98370. doi: 10.18632/oncotarget.21312. PMID: 29228695; PMCID: PMC5716735.

11. Zhang M, Wang J, Jiang J, Zhan X, Ling Y, Lu Z, Guo J, Gao X. Von Hippel-Lindau disease type 2 in a Chinese family with a VHL p.W88X truncation. Endocrine. 2015 Feb;48(1):83-8. doi: 10.1007/s12020-014-0368-x. Epub 2014 Jul 29. PMID: 25069792.