＞教授 姓　　名： 王　栋 部　　门： 系统生物学教研室 职　　称： 教授、硕士生导师 学　　历： 博士研究生 职　　务： 办公电话： 0451-86699584 办公地址： 分子生物学馆122室 Email： wangdong(at)ems.hrbmu.edu.cn 主要研究方向： 复杂疾病致病机制的生物信息学和系统生物学 个人简介 　　王栋，哈尔滨医科大学理学硕士，电子科技大学工学博士，2011年破格晋升副教授，2015年破格晋升教授，硕士生导师。《Nucleic Acids Research》、《Briefings in Bioinformatics》、《Bioinformatics》、《Scientific Reports》、《Molecular Biosystems》、《Amino Acids》等杂志评审专家。主要研究方向是：复杂疾病致病机制的生物信息学和系统生物学，研究兴趣包括高通量数据处理、复杂疾病功能模块化网络、非编码RNA的功能与细胞死亡、疾病等。主持国家自然科学基金、黑龙江省自然科学基金等多项课题。参与了973计划前期研究专项与国家863高科技计划项目等多项课题，发表SCI论文30多篇，其中通讯作者和第一作者21篇，累计影响因子超过150，研究成果连续发表在《Autophagy》、《Nucleic Acids Research》、《Cell Death and Disease》、《RNA》、《Bioinformatics》、《Scientific Reports》、《Molecular Biosystems》等国际知名学术期刊，以及《中国科学》、《科学通报》等国内优秀的学术期刊，已经打下了较好的研究基础。 　　主要承担的课题项目： 1.于维汉院士杰出青年培养基金项目。哈尔滨医科大学。课题负责人。 2.癌相关基因的系统性分子改变与高通量组学数据的标准化（31100901）。国家自然科学基金项目。课题负责人。 3.非编码RNA相关细胞死亡网络与肿瘤发生（C2015027）。黑龙江省自然科学基金项目。课题负责人。 4.基于基因表达广泛差异揭示癌症间共享与特异机制（QC2010012）。黑龙江省自然科学基金项目。课题负责人。 5.系统性解析miRNAs介导的细胞死亡网络（12541426)。黑龙江省教育厅科学技术研究项目。课题负责人。 6.cDNA芯片检测探针的一致性对功能分析的影响（11541156）。黑龙江省教育厅科学技术研究项目。课题负责人。 　　主要发表的论文列表（*通讯作者）： 1.Y Li, … D Wang*（王栋）, J Xu*. Connect the dots: a systems level approach for analyzing the miRNA-mediated cell death network. Autophagy. 2013. 9(3): 436-9. (SCI, 2013 IF=12.042) 2.D Wu, … X Li*, J Xu*, D Wang*（王栋）. ncRDeathDB: a comprehensive bioinformatics resource for deciphering network organization of the ncRNA-mediated cell death system. Autophagy. 2015. 11(10):1917-26. (SCI, 2015 IF=11.753) 3.Daniel J Klionsky*, ... D Wang（王栋）, ...et al. Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). Autophagy. 2016 Jan 2;12(1):1-222. (SCI, IF=11.753) 4.Y Li, …K Li *, X Li*, D Wang*（王栋）. ViRBase: a resource for virus-host ncRNA-associated interactions. Nucleic Acids Research. 2015. 43: D578-82. (SCI, 2015 IF=9.112) 5.X Guan, … X Wang*, H Fan*, G Wang*, D Wang*（王栋）. Revealing potential molecular targets bridging colitis and colorectal cancer based on multidimensional integration strategy. Oncotarget. 2015. 6(35):37600-12. (SCI, 2015 IF=6.359) 6.C Yang, ... D Wang*（王栋）, T Wang*, X Li*. Competing endogenous RNA networks in human cancer: hypothesis, validation, and perspectives. Oncotarget. 2016. doi: 10.18632/oncotarget.7266. (SCI, 2015 IF=6.359) 7.Y Wang, …X Li*, J Xu*, D Wang*（王栋）. Mammalian ncRNA-disease repository: a global view of ncRNA-mediated disease network. Cell Death Disease. 2013. 4:e765. (SCI, 2013 IF=6.044) 8.D Wang（王栋）, et al. Effects of replacing the unreliable cDNA microarray measurements on the disease classification based on gene expression profiles and functional modules. Bioinformatics. 2006. 22(23):2883-9. (SCI, 2006 IF=6.019) 9.N Liu, … L Zhuang*, H Fan*, D Wang*（王栋）. A functional module-based exploration between inflammation and cancer in esophagus. Scientific Reports. 2015. 5:15340. (SCI, 2015 IF=5.578) 10.N Jin, … H Wang*, K Li*, X Li*, D Wang*（王栋）. Network-based survival-associated module biomarker and its crosstalk with cell death genes in ovarian cancer. Scientific Reports. 2015. 5:11566. (SCI, 2015 IF=5.578) 11.L Wang, …K Li*, X Li*, D Wang*（王栋）. SynBioLGDB: a resource for experimentally validated logic gates in synthetic biology. Scientific Reports. 2015. 5:8090. (SCI, 2015 IF=5.578) 12.L Cheng, … N Tang*, D Wang*（王栋）, K Leung*. CrossNorm: a novel normalization strategy for microarray data in cancers. Scientific Reports. 2016.6:18898 (SCI, 2015 IF=5.578) 13.T Wang, … D Wang*（王栋）, N Ning* and X Li*. Aberrant regulation of the LIN28A/LIN28B and let-7 loop in human malignant tumors and its effects on the hallmarks of cancer. Mol Cancer. 2015. 14:125. (SCI, 2014 IF=5.397) 14.X Zhang, …X Li*, J Xu*, D Wang*（王栋）. RAID: a comprehensive resource for human RNA-associated (RNA-RNA/RNA-protein) interaction. RNA. 2014. 20(7):989-93. (SCI, 2015 IF=4.936) 15.D Wu, …Z Guo*, X Li*, J Xu*, D Wang*（王栋）. Deciphering global signal features of high-throughput array data from cancers. Mol Biosyst. 2014. 10(6):1549-56. (SCI, 2015 IF=3.21) 16.Y Wu, … L Zhuang*, K Li*, D Wang*（王栋）. Global gene expression distribution in non-cancerous complex diseases. Mol Biosyst. 2014. 10(4),728-731. (SCI, 2015 IF=3.21) 17.D Wang（王栋）, Lv Y, Li X, Li Y, Zhu J, Yang D, Xu J, Wang C, Rao S, Yang B , Guo Z*. Extensive up-regulation of gene expression in cancer: the normalised use of microarray data. Mol Biosyst. 2012. 8(3): 818-27. (SCI, 2015 IF=3.21) 18.D Wang（王栋）, et al. Evaluation of cDNA microarray data by multiple clones mapping to the same transcript. OMICS:A Journal of Integrative Biology. 2009.13(6):493-9. (SCI, 2009 IF=3.167) 19.Li K, … H Wang*, J Xu*, D Wang*（王栋）. Current and emerging biomarkers of cell death in human disease. BioMed Research International. Volume 2014. Article ID 690103. (SCI, 2014 IF=2.706) 20.J Xu*, D Wang*（王栋）, W Ma. Cell Death in Human Health and Disease. BioMed Research International. Volume 2014. Article ID 243017. (SCI, 2014 IF=2.706) 21.D Wang*（王栋）, et al. Comparison of different normalization assumptions for analyses of DNA methylation data from the cancer genome. Gene. 2012. 506(1):36-42. (SCI,2015 IF= 2.138) 22.D Wang（王栋）, et al. Extensive increase of microarray signals in cancers calls for novel normalization assumptions. Computational Biology and Chemistry. 2011. 35:126-30. (SCI, 2015 IF= 1.117) 23.X Gong, … D Wang（王栋）, ...et al. Evaluating the consistency of differential expression of miRNAs detected in human cancers. Molecular Cancer Therapeutics, 2011, May, 10(5), 752-60. (SCI, IF=5.599) 24.D Yang, … D Wang（王栋）, ...et al. Gaining confidence in biological interpretation of the microarray data: the functional consistence of the significant GO categories. Bioinformatics, 2008, 24(2), 265-271. (SCI, IF=5.323) 25.M Zhang, … D Wang（王栋）, ...et al. Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes. Bioinformatics, 2009, Jul, 25(13),1662-8. (SCI, IF=5.323) 26.M Zhang, … D Wang（王栋）, ...et al. Apparently low reproducibility of true differential expression discoveries in microarray studies. Bioinformatics, 2008, 24(18),2057-2063. (SCI, IF=5.323) 27.Z Guo *, … D Wang（王栋）, ...et al. Edge-based scoring and searching method for identifying condition-responsive protein-protein interaction sub-network. Bioinformatics, 2007, 23(16):2121-2128. (SCI, IF=5.323)