周猛研究员

周猛，温州医科大学生物医学信息学系副主任，博士，研究员，硕士生导师，温州市“特支计划”科技创新领军人才。现为美国基因与细胞治疗学会（ASGCT）会员，中国抗癌协会骨与软组织肿瘤热疗及生物信息学专委会常务委员，中国抗癌协会肿瘤标志物专委会青年委员。SCI期刊《Frontiers in Oncology》和《Frontiers in Genetics》副主编，SCI期刊《World Journal of Gastrointestinal Oncology》和《Current Bioinformatics》编委。主要从事非编码RNA生物信息学和复杂疾病生物信息学研究，近期研究兴趣包括（1）非编码RNA基因识别、进化和功能预测；（2）非编码RNA与复杂疾病关联关系预测以及复杂疾病致病基因预测；（3）肿瘤早期诊断、预后和药物反应相关新型分子标志物的发现和鉴定。主持国家自然科学基金青年和面上项目在内的多项基金项目。近年来在国内外杂志上发表SCI研究论文50余篇，SCI累积影响因子>250余点，论文总引用>2000余次，10篇论文入选ESI高被引论文，1篇论文入选ESI热点论文，14篇论文基于谷歌学术引用次数超过50，H指数为24（Google Scholar）。其中以第一作者/通讯作者在包括《Molecular Cancer》,《Journal for ImmunoTherapy of Cancer》,《Molecular Neurobiology》,《Bioinformatics》,《Briefings in Bioinformatics》,《Journal of Molecular Medicine》和《European Journal of Human Genetics》等国际主流肿瘤学，遗传学和生物信息学杂志发表SCI论文50余篇。

个人网站：www.ibbd.ac.cn/zhoum。电子邮箱：biofomeng(at)126.com。办公电话：0577-88068272。

专家类别/学术兼职

1、温州市“特支计划”科技创新领军人才。

2、Frontiers in Oncology副主编

3、 Frontiers in Genetics副主编

4、World Journal of Gastrointestinal Oncology编委

5、Current Bioinformatics编委。

6、中国抗癌协会骨与软组织肿瘤热疗及生物信息学专委会常务委员

7、中国抗癌协会肿瘤标志物专委会青年委员

8、浙江省生物信息学会理事

学习和研究经历

1、2018.01-至今，温州医科大学，眼视光学院、附属眼视光医院和生物医学工程，研究员

2、2014.09至2017.12，哈尔滨医科大学，生物信息科学与技术学院，副教授

3、2013.09至2016.12，吉林大学，生物化学与分子生物学，博士

4、2009.08至2014.07，哈尔滨医科大学，生物信息科学与技术学院，讲师

5、2007.09至2009.07，哈尔滨医科大学，生物信息科学与技术学院，助教

承担科研项目

1、国家自然科学基金委员会，面上项目，61873193，基于多维组学数据的恶性肿瘤新型lncRNA分子标记物识别及其调控特征研究，2019-01至2019-12，16万元，结题，主持

2、国家自然科学基金委员会，青年项目，61403111，基于生物网络的复杂疾病相关lncRNA基因多角度挖掘技术研究，2015-01至2017-12，25万元，结题，主持

主要研究论文

PUBLICATION(# equally contribution and * corresponding author)

1、Zhao HQ#, Gu SS#, Bao SQ, Yan CC, Zhang ZZ, Hou P, Zhou M*, Sun J*. Mechanistically-derived patient-level framework for precision medicine identifies a personalized immune prognostic signature in high-grade serous ovarian cancer. Briefings in Bioinformatics, 2020, doi: 10.1093/bib/bbaa075 [Epub ahead of print]

2、Zhou M#，Zhang ZC#, Bao SQ#, Hou P, Yan CC, Su J*, Sun J*. Computational recognition of lncRNA signature of tumor-infiltrating B lymphocytes with potential implications in prognosis and immunotherapy of bladder cancer. Briefings in Bioinformatics, 2020, doi: 10.1093/bib/bbaa047[Epub ahead of print]

3、Sun J#, Zhang Z#, Bao S#, Yan C, Hou P, Wu N, Su J, Xu L* and Zhou M*. Identification of tumor immune infiltration-associated lncRNAs for improving prognosis and immunotherapy response of patients with non-small cell lung cancer. Journal for ImmunoTherapy of Cancer. 2020, 8(1).

4、Chen X#, Zhang Z#, Wang X#, Zhao H, Li M, Ma Y, Ji Y, Zhang C, Wu K, Xiang L, Sun L, Zhou M*and Jin Z*. The circular RNome of developmental retina in mice. Molecular Therapy-Nucleic Acids. 2020, 19: 339-349.

5、Yu F, Li K, Li S, Liu J, Zhang Y, Zhou M, Zhao H, Chen H, Wu N, Liu Z and Su J.CFEA: a cell-free epigenome atlas in human diseases. Nucleic acids research. 2020, 48 (D1):D40-D44

6、Bao S, Zhao H, Yuan J, Fan D, Zhang J, Su J* and Zhou M*. Computational identification of mutator-derived lncRNA signatures of genome instability for improving the clinical outcome of cancers: a case study in breast cancer. Briefings in bioinformatics, 2019,doi: 10.1093/bib/bbz118[Epub ahead of print]

7、Sun J#, Bao S#, Xu D#, Zhang Y, Su J, Liu J, Hao D* and Zhou M*.Large-scale integrated analysis of ovarian cancer tumors and cell lines identifies an individualized gene expression signature for predicting response to platinum-based chemotherapy. Cell death & disease. 2019, 10 (9), 1-12

8、Sun J#, Zhao H#, Lin S#, Bao S, Zhang Y, Su J* and Zhou M*. Integrative analysis from multi‐centre studies identifies a function‐derived personalized multi‐gene signature of outcome in colorectal cancer. Journal of Cellular and Molecular Medicine. 2019, 23(8):5270-5281

9、Zhou M, Zhao H, Wang X, Sun J and Su J. Analysis of long noncoding RNAs highlights region-specific altered expression patterns and diagnostic roles in Alzheimer's disease. Briefings in Bioinformatics. 2019, 20(2):598-608 (ESI Highly Cited Paper)

10、Zhou M, Hu L, Zhang Z, Wu N, Sun J and  Su J. Recurrence-Associated Long Non-coding RNA Signature for Determining the Risk of Recurrence in Patients with Colon Cancer. Mol Ther Nucleic Acids. 2018, 12:518-529

11、Cheng L, Hu Y, Sun J,Zhou M* and Jiang Q*.DincRNA: a comprehensive web-based bioinformatics toolkit for exploring disease associations and ncRNA function.Bioinformatics. 2018, 34(11):1953-1956(ESI Highly Cited Paper)

12、Zhou M, Zhang Z, Zhao H, Bao Sand Sun J*. A novel lncRNA-focus expression signature for survival prediction in endometrial carcinoma. BMC Cancer. 2018, 18(1): 39

13、Cheng L,Yang H, Zhao H, Pei X, Shi H, Sun J, Zhang Y*, Wang Z*and Zhou M*.MetSigDis: a manually curated resource for the metabolic signatures of diseases. Briefings in Bioinformatics, 2018, 20(1):203-209. (ESI Highly Cited Paper)

14、Cheng L, Jiang Y, Ju H, Sun J, Peng J, Zhou M*and Hu Y*. InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk. BMC Genomics. 2018, 19 (Suppl 1):919

15、Zhou M, Zhang Z, Zhao H, Bao S, Cheng L and Sun J. An immune-related six-lncRNA signature to improve prognosis prediction of glioblastoma multiforme. Molecular Neurobiology. 2018, 55(5):3684-3697.(ESI Highly Cited Paper)

16. Hu Y#, Zhou M#, Shi H, Ju H, Jiang Q* and Cheng L*: Measuring disease similarity and predicting disease-related ncRNAs by a novel method. BMC Medical Genomics 2017, 10(Suppl 5):71.

17、Zhou M, Zhao H, Xu W, Bao S, Cheng L and Sun J. Discovery and validation of immune-associated long non-coding RNA biomarkers associated with clinically molecular subtype and prognosis in diffuse large B cell lymphoma. Molecular cancer. 2017; 16(1):16.(ESI Highly Cited Paper and Hot Paper)

18、Zhou M, Zhong L, Xu W, Sun Y, Zhang Z, Zhao H, Yang L and Sun J. Discovery of potential prognostic long non-coding RNA biomarkers for predicting the risk of tumor recurrence of breast cancer patients. Sci Rep. 2016; 6:31038.

19、Zhou M, Xu W, Yue X, Zhao H, Wang Z, Shi H, Cheng L and Sun J. Relapse-related long non-coding RNA signature to improve prognosis prediction of lung adenocarcinoma. Oncotarget. 2016; 7(20):29720-29738.

20、Zhou M, Wang X, Shi H, Cheng L, Wang Z, Zhao H, Yang L and Sun J. Characterization of long non-coding RNA-associated ceRNA network to reveal potential prognostic lncRNA biomarkers in human ovarian cancer. Oncotarget. 2016; 7(11):12598-12611.(ESI Highly Cited Paper)

21、Zhou M, Sun Y, Sun Y, Xu W, Zhang Z, Zhao H, Zhong Z and Sun J. Comprehensive analysis of lncRNA expression profiles reveals a novel lncRNA signature to discriminate nonequivalent outcomes in patients with ovarian cancer. Oncotarget. 2016; 7(22):32433-32448.

22、Zhou M, Diao Z, Yue X, Chen Y, Zhao H, Cheng L and Sun J. Construction and analysis of dysregulated lncRNA-associated ceRNA network identified novel lncRNA biomarkers for early diagnosis of human pancreatic cancer. Oncotarget. 2016; 7(35):56383-56394.

23、Sun J, Cheng L, Shi H, Zhang Z, Zhao H, Wang Z and Zhou M*. A potential panel of six-long non-coding RNA signature to improve survival prediction of diffuse large-B-cell lymphoma. Sci Rep. 2016; 6:27842.

24、Cheng L, Sun J, Xu W, Dong L, Hu Y and Zhou M*. OAHG: an integrated resource for annotating human genes with multi-level ontologies. Sci Rep. 2016; 6:34820.(ESI Highly Cited Paper)

25、Cheng L, Shi H, Wang Z, Hu Y, Yang H, Zhou C, Sun J and Zhou M*. IntNetLncSim: an integrative network analysis method to infer human lncRNA functional similarity. Oncotarget. 2016; 7(30):47864-47874.

26、Cheng L, Jiang Y, Wang Z, Shi H, Sun J, Yang H, Zhang S, Hu Y and Zhou M*. DisSim: an online system for exploring significant similar diseases and exhibiting potential therapeutic drugs. Sci Rep. 2016; 6:30024.

27、Zhou M, Zhao H, Wang Z, Cheng L, Yang L, Shi H, Yang H and Sun J. Identification and validation of potential prognostic lncRNA biomarkers for predicting survival in patients with multiple myeloma. Journal of Experimental & Clinical Cancer Research. 2015; 34(1):1.(ESI Highly Cited Paper)

28、Zhou M, Wang X, Li J, Hao D, Wang Z, Shi H, Han L, Zhou H and Sun J. Prioritizing candidate disease-related long non-coding RNAs by walking on the heterogeneous lncRNA and disease network. Molecular bioSystems. 2015; 11(3):760-769.

29、Zhou M, Guo M, He D, Wang X, Cui Y, Yang H, Hao D and Sun J. A potential signature of eight long non-coding RNAs predicts survival in patients with non-small cell lung cancer. Journal of translational medicine. 2015; 13(1):231.(ESI Highly Cited Paper)

30、Sun J, Chen X, Wang Z, Guo M, Shi H, Wang X, Cheng L and Zhou M*. A potential prognostic long non-coding RNA signature to predict metastasis-free survival of breast cancer patients. Sci Rep. 2015; 5:16553.

31、Hao D, Li C, Zhang S, Lu J, Jiang Y, Wang S and Zhou M*. Network-based analysis of genotype-phenotype correlations between different inheritance modes. Bioinformatics. 2014; 30(22):3223-3231.

32、Zhou M, Han L, Zhang J, Hao D, Cai Y, Wang Z, Zhou H and Sun J. A computational frame and resource for understanding the lncRNA-environmental factor associations and prediction of environmental factors implicated in diseases. Mol Biosyst. 2014; 10(12):3264-3271.

33、Sun J, Shi H, Wang Z, Zhang C, Liu L, Wang L, He W, Hao D, Liu S and Zhou M*. Inferring novel lncRNA-disease associations based on a random walk model of a lncRNA functional similarity network. Mol Biosyst. 2014; 10(8):2074-2081.

34、Lu J, Wu D, Li C, Zhou M*and Hao D. Correlation between gene expression and mutator phenotype predicts homologous recombination deficiency and outcome in ovarian cancer. Journal of molecular medicine. 2014; 92(11):1159-1168.

35、Hao D, Wang G, Yin Z, Li C, Cui Y and Zhou M*. Systematic large-scale study of the inheritance mode of Mendelian disorders provides new insight into human diseasome. European journal of human genetics. 2014; 22(11):1260-1267.

36、Sun J#, Zhou M#, Yang H, Deng J, Wang L and Wang Q. Inferring potential microRNA-microRNA associations based on targeting propensity and connectivity in the context of protein interaction network. PLoS One. 2013; 8(7):e69719.

37、Sun J#, Zhou M#, Mao ZT, Hao DP, Wang ZZ and Li CX. Systematic analysis of genomic organization and structure of long non-coding RNAs in the human genome. FEBS Lett. 2013; 587(7):976-982.

38、Sun J#, Gao B#, Zhou M#*, Wang ZZ, Zhang F, Deng JE and Li X. Comparative genomic analysis reveals evolutionary characteristics and patterns of microRNA clusters in vertebrates. Gene. 2013; 512(2):383-391.

39、Sun J#, Zhou M*, Mao Z and Li C. Characterization and evolution of microRNA genes derived from repetitive elements and duplication events in plants. PLoS One. 2012; 7(4):e34092.

40、Sun J, Liu HP, Deng JE and Zhou M*. Systematic analysis of genomic organization and heterogeneities of miRNA cluster in vertebrates. Mol Biol Rep. 2012; 39(5):5143-5149.

41、Sun J#, Gao B#, Zhou M#*, Wang ZZ, Zhang F, Deng JE and Li X. Comparative genomic analysis reveals evolutionary characteristics and patterns of microRNA clusters in vertebrates. Gene. 2012.

42、Zhou M, Sun J, Wang QH, Song LQ, Zhao G, Wang HZ, Yang HX and Li X. Genome-wide analysis of clustering patterns and flanking characteristics for plant microRNA genes. Febs J. 2011; 278(6):929-940.

43、Wang QH#, Zhou M#, Sun J, Ning SW, Li Y, Chen L, Zheng Y, Li X, Lv SL and Li X. Systematic analysis of human microRNA divergence based on evolutionary emergence. FEBS Lett. 2011; 585(1):240-248.

44、Wang Q#, Sun J#, Zhou M#, Yang H, Li Y, Li X, Lv S, Li X and Li Y. A novel network-based method for measuring the functional relationship between gene sets. Bioinformatics. 2011; 27(11):1521-1528.

45、Zhou M, Wang Q, Sun J, Li X, Xu L, Yang H, Shi H, Ning S, Chen L, Li Y, He T and Zheng Y. In silico detection and characteristics of novel microRNA genes in the Equus caballus genome using an integrated ab initio and comparative genomic approach. Genomics. 2009; 94(2):125-131.

46、Zhou M and Li X. Analysis of synonymous codon usage patterns in different plant mitochondrial genomes. Mol Biol Rep. 2009; 36(8):2039-2046.

47、Zhou M, Tong CF and Shi JS. Analysis of codon usage between different poplar species. J Genet Genomics. 2007; 34(6):555-561.

48、Yang L, Wang S, Zhou M, Chen X, Jiang W, Zuo Y and Lv Y. Molecular classification of prostate adenocarcinoma by the integrated somatic mutation profiles and molecular network. Sci Rep. 2017; 7(1):738.

49、Wang H-J, Zhou M, Jia L, Sun J, Shi H-B, Liu S-L and Wang Z-Z. Identification of Aberrant Chromosomal Regions in Human Breast Cancer Using Gene Expression Data and Related Gene Information. Medical science monitor: international medical journal of experimental and clinical research. 2015; 21:2557.

50、Li J, Li C, Han J, Zhang C, Shang D, Yao Q, Zhang Y, Xu Y, Liu W, Zhou M, Yang H, Su F and Li X. The detection of risk pathways, regulated by miRNAs, via the integration of sample-matched miRNA-mRNA profiles and pathway structure. J Biomed Inform. 2014; 49:187-197.

51、Zhang F, Gao B, Xu L, Li C, Hao D, Zhang S, Zhou M, Su F, Chen X, Zhi H and Li X. Allele-specific behavior of molecular networks: understanding small-molecule drug response in yeast. PLoS One. 2012; 8(1):e53581.

52、Wang ZZ, Gong BS, Wang HK, Wang HJ, Zhou M, Wang QH, Chen X, Liu T and Li X. MicroRNA regulation constrains the organization of target genes on mammalian chromosomes. FEBS Lett. 2011; 585(12):1897-1904.

53、Wang Y, Du L, Li X, Zhang S, Xiao Y, Gong B, Wang Q,Zhou M, Xu C, Chen X, Lv S and Rao S. Functional homogeneity in microRNA target heterogeneity--a new sight into human microRNomics. Omics. 2011; 15(1-2):25-35.