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周猛

发布时间:2020-04-17 11:15:20 浏览量:5335

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周   猛,博士,研究员

博士研究生导师,博士后合作导师,温州医科大学生物医学信息学系副主任,浙江省“万人计划”青年拔尖人才,温州市“特支计划”科技创新领军人才

长期从事医药大数据和精准医学领域的交叉学科研究,将人工智能技术应用于疾病风险预测、诊断和病理分析等方面,为重大疾病的预防和治疗提供了新的研究思路和方法。主持国家自然科学面上项目2项,国家自然科学青年项目,浙江省自然科学基金项目、 温州医科大学高层次人才项目和重大项目培育专项等项目,作为骨干参与多项国家和省重点研发计划;发表SCI研究论文80余篇,SCI累计影响因子>600余点,论文总引用>4000余次, ESI热点(Hot Papers)论文2篇,ESI高被引(Highly Cited Papers)论文13篇,10篇论文引用次数超过100次,H指数为30;授权中国发明专利6项,申请国家发明专利18项;以主要完成人获黑龙江省自然科学技术二等奖一项,浙江省生物信息学会科技进步奖一等奖一项。先后入选浙江省“万人计划”青年拔尖人才、温州市“特支计划”科技创新领军人才,温州医科大学“杰青培养工程”、和美国斯坦福大学生物医学工程领域全球前2%顶尖科学家和全球顶尖10万名科学家榜单。


电子邮箱:biofomeng@126.com。办公电话:0577-88068272。

 

专家类别/学术兼职

  1、浙江省万人计划青年拔尖人才

  2、温州市“特支计划”科技创新领军人才

  3、Frontiers in Oncology副主编

  4、Frontiers in Genetics副主编

  5、Journal of Cellular and Molecular Medicine副主编

  6、BMC Genomic Data副主编

  7、World Journal of Gastrointestinal Oncology编委

  8、Current Bioinformatics编委

  9、Interdisciplinary Sciences-Computational Life Sciences编委 

10、Current Cancer Drug Targets编委

11、Current gene therapy编委

12、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

13、中国自动化学会智能健康与生物信息专业委员会委员

14、中国人工智能学会生物信息学与人工生命专业委员会委员

15、中国人工智能学会智慧医疗专业委员会委员

16、中国生物工程学会计算生物学与生物信息学专业委员会委员

17、中国抗癌协会肿瘤标志物专委会青年委员

18、浙江省生物信息学会理事

 

学习和研究经历

1、2021.12-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学院,研究员

2、2018.01-2021.12,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学院,副教授

3、2014.09-2017.12,哈尔滨医科大学,生物信息科学与技术学院,副教授

4、2013.09-2016.12,吉林大学,生物化学与分子生物学,博士

5、2009.08-2014.07,哈尔滨医科大学,生物信息科学与技术学院,讲师

6、2007.09-2009.07,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、温州医科大学“杰青培养工程”,2022-01至2025-12,200万元,在研,主持

2、国家自然科学基金委员会,面上项目,62072341,基于多源组学数据的免疫调控lncRNAs挖掘及其介导的肿瘤免疫网络协同调控模式研究,2021-01至2024-12,56万元,在研,主持

3、 浙江省自然科学基金项目,LY21C060004,乳腺癌DNA损伤修复相关长链非编码RNA基因识别及其临床意义研究,2021-01至2023.12,10万元,在研,主持

4、温州医科大学省属高校科研业务费-重大培育项目,长链非编码RNA调节免疫重塑肿瘤微环境的相关分子机制及其临床意义研究,50万元,在研,主持

5、温州医科大学高层次引进人才项目,30万元,在研,主持

6、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

7、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、Bao S#, Zhou T#, Yan C, Bao J, Yang F, Chao S, Zhou M*, Xu Z*. A blood-based miRNA signature for early non-invasive diagnosis of preeclampsia. BMC Medicine, 2022, 20(1):303

2、Zhao J#, Yi Q#, Li K, Chen L, Dai L, Feng J, Li Y*, Zhou M*, Sun J*. A multi-omics deep learning model for hypoxia phenotype to predict tumor aggressiveness and prognosis in uveal melanoma for rationalized hypoxia-targeted therapy. Computational and Structural Biotechnology Journal, 2022, 20:3182-3194

3、Zhang Z#, Chen L#, Chen H, Zhao J, Li K, Sun J*, Zhou M*. Pan-cancer landscape of T-cell exhaustion heterogeneity within the tumor microenvironment revealed a progressive roadmap of hierarchical dysfunction associated with prognosis and therapeutic efficacy. eBioMedicine, 2022, 83:104207

4、Li C#, Shi X#, Yang J, Li K, Dai L, Zhang Y, Zhou M*, Su J*. Genome-wide characterization of RNA editing highlights roles of high editing events of glutamatergic synapse during mouse retinal development. Computational and Structural Biotechnology Journal, 2022, 20:2648-2656

5、Zhang Y, Li M, Yu B, Lu S, Zhang L, Zhu S, Yu Z, Xia T, Huang H, Jiang W, Zhang S, Sun L, Ye Q, Sun J, Zhu H, Huang P, Hong H, Yu S, Li W, Ai D, Fan J, Li W, Song H, Xu L, Chen X, Chen T, Zhou M, Ou J., Yang J, Li W, Hu Y, Wu W. Cold protection allows local cryotherapy in a clinical-relevant model of traumatic optic neuropathy. Elife, 2022, 11:e75070

6、Bao S, Li K, Yan C, Zhang Z, Qu J*, Zhou M*. Deep learning-based advances and applications for single-cell RNA-sequencing data analysis.  Briefings in Bioinformatics, 2022, 23(1):bbab473

7、Yan C#, Li K#, Meng F#, Chen L, Zhao J, Zhang Z, Xu D*, Sun J*, Zhou M*. Integrated immunogenomic analysis of single-cell and bulk tissue transcriptome profiling unravels a macrophage activation paradigm associated with immunologically and clinically distinct behaviors in ovarian cancer. Journal of Advanced Research, 2022, doi: 10.1016/j.jare.2022.04.006

8、Sun J#, Yan C#, Xu D#, Zhang Z, Li K, Li X, Zhou M*, Hao D*. Immuno-genomic characterisation of high-grade serous ovarian cancer reveals immune evasion mechanisms and identifies an immunological subtype with a favourable prognosis and improved therapeutic efficacy. Br J Cancer, 2022, doi: 10.1038/s41416-021-01692-4

9、Xi Y#, Lin Y#, Guo W#, Wang X, Zhao H, Miao C, Liu W, Liu Y, Liu T, Luo Y, Fan W, Lin A, Chen Y, Sun Y, Ma Y, Niu X, Zhong C, Tan W, Zhou M, Su J#, Wu C# and Lin D#. Multi-omic characterization of genome-wide abnormal DNA methylation reveals diagnostic and prognostic markers for esophageal squamous-cell carcinoma. Signal Transduction and Targeted Therapy, 2022, 7(1):53.

10、Ji W#, Chen L#, Yang W#, Li K, Zhao J, Yan C, You C, Jiang M, Zhou M*, Shen X*. Transcriptional landscape of circulating platelets from patients with COVID-19 reveals key subnetworks and regulators underlying SARS-CoV-2 infection: implications for immunothrombosis. Cell & Bioscience, 2022, 12(1):15

11、Li CX#, Gao J#, Zhang Z, Chen L, Li X#, Zhou M*, Wheelock AM*. Multiomics integration-based molecular characterizations of COVID-19. Briefings in Bioinformatics, 2022, 23(1): bbab485

12、Li K#, Yan C#, Li C, Chen L, Zhao J, Zhang Z, Bao S, Sun J*, Zhou M*. Computational elucidation of spatial gene expression variation from spatially resolved transcriptomics data. Mol Ther Nucleic Acids,2022, 27:404-411.

13、Wang G#, Xu D#, Zhang Z#, Li X, Shi J, Sun J, Liu HZ, Li X*, Zhou M* & Zheng T*. The pan-cancer landscape of crosstalk between epithelial-mesenchymal transition and immune evasion relevant to prognosis and immunotherapy response. npj Precision Oncology, 2021, 5(1):56.

14、Zhang Z#, Yan C#, Li K, Bao S, Li L, Chen L, Zhao J, Sun J*, Zhou M*. Pan-cancer characterization of lncRNA modifiers of immune microenvironment reveals clinically distinct de novo tumor subtypes. npj Genomic Medicine, 2021, 6(1):52.

15、Zhou M#, Hou P#, Yan C#, Chen L, Li K, Wang Y, Zhao J, Su J*, Sun J*. Cell-free DNA 5-hydroxymethylcytosine profiles of long non-coding RNA genes enable early detection and progression monitoring of human cancers. Clinical Epigenetics, 2021, 13(1):197.

16、Wang X#, Qian T#, Bao S#, Zhao H, Chen H, Xing Z, Li Y, Zhang M, Meng X, Wang C, Wang J, Gao H, Liu J*, Zhou M*, Wang X*. Circulating exosomal miR-363-5p inhibits lymph node metastasis by downregulating PDGFB and serves as a potential noninvasive biomarker for breast cancer. Molecular Oncology, 2021, doi: 10.1002/1878-0261.13029

17、Hou P#, Bao SQ#, Fan DD#, Yan CC, Su J*, Qu J*, Zhou M*. Machine learning-based integrative analysis of methylome and transcriptome identifies novel prognostic DNA methylation signature in uveal melanoma. Briefings in Bioinformatics,  2021,22(4): bbaa371

18、Bao SQ#, Hu T#, Liu JQ#, Su J, Sun J, Ming Y, Li JX, Wu N*, Cheng HY*, Zhou M*. Genomic instability-derived plasma extracellular vesicle-microRNA signature as a minimally invasive predictor of risk and unfavorable prognosis in breast cancer. Journal of Nanobiotechnology, 2021,19:22

19、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, 2021, 22(3): bbaa069

20、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, 2021, 22(3): bbaa047

21、Zhang ZC#, Bao SQ#, Yan CC, Hou P, Zhou M#Sun J*. Computational principles and practice for decoding immune contexture in the tumor microenvironment. Briefings in Bioinformatics, 2021, 22(3): bbaa075

22、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).

23、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.

24、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

25、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, 2020, 21(5):1742-1755 (ESI Highly Cited Paper)

26、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

27、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

28、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)

29、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

30、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)

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

32、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)

33、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

34、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)

35、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.

36、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)

37、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. 

38、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.

39、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)

40、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. 

41、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. 

42、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.

43、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)

44、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. 

45、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. 

46、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)

47、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. 

48、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)

49、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. 

50、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. 

51、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. 

52、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. 

53、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. 

54、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. 

55、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. 

56、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. 

57、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. 

58、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. 

59、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. 

60、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. 

61、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. 

62、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. 

63、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. 

64、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. 

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

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

67、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. 

68、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. 

69、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.

70、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.

71、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.

72、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.


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