王珍珍简历
Email:wangzz2011@126.com QQ Number：39760481
1. 基本情况
博士，纽约西奈山医学院博士后，三级教授，博士生导师，药物组学信息学教研室主任、海南省人民医院双聘教授，教育部生殖健康及相关疾病研究与转化重点实验室副主任、海南省免疫学会神经免疫分会副主任、生物医学信息与工程学院党政办公室主任、海南省拔尖人才，海南省“双百人才团队”骨干，国家自然科学基金函评专家，海南省健康教育专家，海南省学位委员会专业学位研究生教育指导委员会委员，中国生物信息学会（筹）重大疾病组学信息学专委常委，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、。
长期跟随李霞教授从事AI驱动的肿瘤微环境特征解析及潜在生物标志物识别的生物信息学应用及方法学研究，近年来在《CELL》、《Briefings in Bioinformatics》、《Journal of Experimental & Clinical Cancer Research》,《Oncoimmunology》等国际高质量杂志发表SCI等论文近40篇，以第一、共一和通讯作者身份，发表SCI论文17篇， SCI单篇最高影响因子60余点，SCI累计影响因子近200点，编著专著1部，参编人卫社等出版社教材3部，申请软件著作权6项，主持国家自然青年科学基金、地区基金、海南省自然科学基金、黑龙江省自然科学基金等近10项课题。参与国自然重大、面上各级、各类项目10余项。
作为学业指导教师、毕业设计指导教师、研究生导师共培养100余名本科生，17名硕士、博士研究生，其中多名本、硕学生获校优秀毕业论文，毕业硕士生均发表一作SCI论文，90%多名本科生在本科阶段发表SCI论文。独立主讲《分子生物软件工程 》、《生物医学网络平台分析 》、《生物网络医学资源》、《R语言程序设计》、《生物信息学实验技术》等11门生物信息学专业基础及专业课程，教学效果优秀，多次被评为校级“我心目中的好老师”。
2.教育经历：
1) 2016/04-2017/04, Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York，博士后
2) 2012/07-2015/08，哈尔滨医科大学基础医学院，病原微生物，博士后
3) 2005/03-2011/08，哈尔滨医科大学生物信息科学与技术学院，硕博连读，生物信息学，博士（理学），李霞教授
3. 研究方向
长期从事AI驱动的肿瘤微环境特征解析及潜在生物标志物识别的生物信息学应用及方法学研究，主要集中于(1)基于单细胞多组学数据解析肿瘤微环境特征；(2)基于可解释深度学习的范癌肿瘤微环境AI模型构建；(3)基于空间转录组数据的泛癌空间生态位识别与解析；(4) bulk、single cell RNA-seq数据处理pipeline搭建。
4.发表的学术论文和专著
1 A Rialdi#, J Hultquist, D Jimenez-Morales, Z Peralta, L Campisi, R Fenouil, N Moshkina, Z. Z. Wang, B Laffleur, RM Kaake, M. J. McGregor, K. Haas, E Pefanis, R. A. Albrecht, L.Pache, S.Chanda, J. Jen, J. Ochando, M. Byun, U. Basu, A. Garcia-Sastre, N. Krogan#, H. van Bakel#, I. Marazzi*, 'The RNA Exosome Syncs IAV-RNAPII Transcription to Promote Viral Ribogenesis and Infectivity', Cell 5 (2017), 169(4):679-692 e614.(SCI IF30.409).
2 Wang, Z. Z.Wen, X. L.Wang, N.Li, X. H.Guo, Y.Zhu, X.Fu, S. H.Xiong, F. F.Li, J.Wang, L.Gao, X. L.Wang, H. J.Portraying the dark side of endogenous IFN-λ for promoting cancer progression and immunoevasion in pan-cancer,J Transl Med. 2023 Sep 11;21(1):615.(SCI IF 7.2).
3 Wang, Z. Z.Li, X. H.Wen, X. L.Wang, N.Guo, Y.Zhu, X.Fu, S. H.Xiong, F. F.Bai, J.Gao, X. L. Wang, H. J.Integration of multi-omics data reveals a novel hybrid breast cancer subtype and its biomarkers.Front Oncol. 2023 Mar 21;13:1130092. (SCI IF 5.2).
4 He, D. N.Wang, N.Wen, X. L.Li, X. H.Guo, Y.Fu, S. H.Xiong, F. F.Wu, Z. Y.Zhu, X.Gao, X. L.
Wang, Z. Z.,Multi-omics analysis reveals a molecular landscape of the early recurrence and early metastasis in pan-cancer,Front Genet，2023 APR 20;20;14:1061364.(SCI IF 4.72)
5 Wang, H. J.Wang, Xin, Hongjiu Wang, Dan Liu, Na Wang, Danni He, Zheyu Wu, Xu Zhu, Xiaoling Wen, Xuhua Li, Jin Li and Zhenzhen Wang*. "Deep Learning Using Bulk Rna-Seq Data Expands Cell Landscape Identification in Tumor Microenvironment." Oncoimmunology 11, no. 1 (2022): 2043662-2043662(SCI IF:8.11).
6 Wang, N., D. N. He, Z. Y. Wu, X. Zhu, X. L. Wen, X. H. Li, Y. Guo, H. J. Wang and Z. Z. Wang*. "Oncogenic Signaling Pathway Dysregulation Landscape Reveals the Role of Pathways at Multiple Omics Levels in Pan-Cancer." Front Genet 13, (2022): 916400.(SCI IF 4.72)
7 Wang, X., S. He, J. Li, J. Wang, C. Wang, M. Wang, D. He, X. Lv, Q. Zhong, H. Wang and Z. Z. Wang*. "Pulsetd: Rna Life Cycle Dynamics Analysis Based on Pulse Model of 4su-Seq Time Course Sequencing Data." PeerJ 8, (2020): e9371.
8 L. Cheng#, H. Yang#, H. Zhao#, . Pei, H. Shi, J. Sun, Y. Zhang*, Z. Z. Wang* and M Zhou* 'MetSigDis: a manually curated resource for the metabolic signatures of diseases', Briefings in bioinformatics, 1 (2019), 20(1):203-209.
9 H. Shi*#, J. Li#, Q. Song#, L. Cheng, H. Sun, W. Fan, J. Li, Z. Z. Wang*, and G. Zhang*, 'Systematic identification and analysis of dysregulated miRNA and transcription factor feed-forward loops in hypertrophic cardiomyopathy', Journal of cellular and molecular medicine, 1 (2019), 23(1):306-316.
10 SY. He#, WJ. Xi#, X. Wang, CH. Xu, L. Cheng, SY. Liu, QQ. Meng, B. Li, Y. Wang, HB. Shi*, HJ. Wang* and Z. Z. Wang*, 'Identification of a Combined RNA Prognostic Signature in Adenocarcinoma of the Lung. Medical science monitor', International medical journal of experimental and clinical research, 5 (2019), 25:3941-3956.
11 H. Shi*#, G. Zhang#, M. Zhou, L. Cheng, H. Yang, J. Wang, J. Sun*, and Z. Z. Wang*, 'Integration of Multiple Genomic and Phenotype Data to Infer Novel Mirna-Disease Associations', PLoS One, 11 (2016), e0148521.
12 Y. Hu, Y. Zhang, J. Ren, Y. Wang*, Z. Z. Wang*, and J. Zhang*, 'Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network', Biomed Res Int, 2016 (2016), 5313050.
13 H. J. Wang#, M. Zhou#, L. Jia#, J. Sun, H. B. Shi, S. L. Liu*, and Z. Z. Wang*, 'Identification of Aberrant Chromosomal Regions in Human Breast Cancer Using Gene Expression Data and Related Gene Information', Med Sci Monit, 21 (2015), 2557-66.
14 L. Cheng#, H. Shi#, Z. Z. Wang #, Y. Hu, H. Yang, C. Zhou, J. Sun*, and M. Zhou*, 'Intnetlncsim: An Integrative Network Analysis Method to Infer Human Lncrna Functional Similarity', Oncotarget, 7 (2016), 47864-74.
15 M. Zhou#, H. Zhao#, Z. Z. Wang #, L. Cheng, L. Yang, H. Shi, H. Yang, and J. Sun*, 'Identification and Validation of Potential Prognostic Lncrna Biomarkers for Predicting Survival in Patients with Multiple Myeloma', J Exp Clin Cancer Res, 34 (2015), 102.
16 J. Sun#, X. Chen#, Z. Z. Wang#, M. Guo, H. Shi, X. Wang, L. Cheng, and M. Zhou*, 'A Potential Prognostic Long Non-Coding Rna Signature to Predict Metastasis-Free Survival of Breast Cancer Patients', Sci Rep, 5 (2015), 16553.
17 H. K. Wang#, Z. Z. Wang# X. Li*, B. S. Gong, L. Feng and Y. Zhou. "A Robust Approach Based on Weibull Distribution for Clustering Gene Expression Data." Algorithms Mol Biol, (2011) ,14.
18 Z. Z. Wang#, B. S. Gong#, H. K. Wang,# H. J. Wang, M. Zhou, Q. H. Wang, X. Chen, T. Liu, and X. Li*, 'Microrna Regulation Constrains the Organization of Target Genes on Mammalian Chromosomes', FEBS Lett, 585 (2011), 1897-904.
19 Chen, J., Z. Chen, R. Chen, D. Feng, T. Li, H. Han, X. Bi, Z. Z. Wang, K. Li, Y. Li, X. Li, L. Wang and J. Li. "Hcdt: An Integrated Highly Confident Drug-Target Resource." Database (Oxford) 2022.
20 Wang, L., W. Xie, K. Li,Z. Z. Wang, X. Li, W. Feng and J. Li. "Dyspia: A Novel Dysregulated Pathway Identification Analysis Method." Front Genet 12, (2021): 647653.
21 M. Zhou#, W. Xu#, X. Yue#, H. Zhao, Z. Z. Wang, H. Shi, L. Cheng, and J. Sun*, 'Relapse-Related Long Non-Coding Rna Signature to Improve Prognosis Prediction of Lung Adenocarcinoma', Oncotarget, 7 (2016), 29720-38.
22 M. Zhou#, X. Wang#, H. Shi, L. Cheng, Z. Z. Wang, H. Zhao, L. Yang, and J. Sun*, 'Characterization of Long Non-Coding Rna-Associated Cerna Network to Reveal Potential Prognostic Lncrna Biomarkers in Human Ovarian Cancer', Oncotarget, 7 (2016), 12598-611.
23 J. Sun*, L. Cheng#, H. Shi#, Z. Zhang, H. Zhao, Z. Z. Wang, and M. Zhou*, 'A Potential Panel of Six-Long Non-Coding Rna Signature to Improve Survival Prediction of Diffuse Large-B-Cell Lymphoma', Sci Rep, 6 (2016), 27842.
24 H. Shi#, G. Zhang#, J. Z. Z. Wang. Wang, X. Liu, L. Cheng, and W. Li*, 'Studying Dynamic Features in Myocardial Infarction Progression by Integrating Mirna-Transcription Factor Co-Regulatory Networks and Time-Series Rna Expression Data from Peripheral Blood Mononuclear Cells', PLoS One, 11 (2016), e0158638.
25 L. Cheng*, Y. Jiang, Z. Z. Wang, H. Shi, J. Sun, H. Yang, S. Zhang, Y. Hu*, and M. Zhou*, 'Dissim: An Online System for Exploring Significant Similar Diseases and Exhibiting Potential Therapeutic Drugs', Sci Rep, 6 (2016), 30024.
26 M. Zhou, X. Wang, J. Li, D. Hao, Z. Z. Wang, H. Shi, L. Han*, H. Zhou*, and J. Sun*, 'Prioritizing Candidate Disease-Related Long Non-Coding Rnas by Walking on the Heterogeneous Lncrna and Disease Network', Mol Biosyst, 11 (2015), 760-9.
27 G. Zhang#, H. Shi, L#. Wang, M. Zhou, Z. Z. Wang, X. Liu, L. Cheng, W. Li*, and X. Li*, 'Microrna and Transcription Factor Mediated Regulatory Network Analysis Reveals Critical Regulators and Regulatory Modules in Myocardial Infarction', PLoS One, 10 (2015), e0135339.
28 M. Zhou#, L. Han#, J. Zhang, D. Hao, Y. Cai, Z. Z. Wang, H. Zhou*, and J. Sun*, 'A Computational Frame and Resource for Understanding the Lncrna-Environmental Factor Associations and Prediction of Environmental Factors Implicated in Diseases', Mol Biosyst, 10 (2014), 3264-71.
29 J. Sun#, H. Shi#, Z. Z. Wang, C. Zhang, L. Liu, L. Wang, W. He, D*. Hao, S. Liu*, and M. Zhou*, 'Inferring Novel Lncrna-Disease Associations Based on a Random Walk Model of a Lncrna Functional Similarity Network', Mol Biosyst, 10 (2014), 2074-81.
30 J. Sun#, M. Zhou#, Z. T. Mao, D. P. Hao, Z. Z. Wang, and C. X. Li*, 'Systematic Analysis of Genomic Organization and Structure of Long Non-Coding Rnas in the Human Genome', FEBS Lett, 587 (2013), 976-82.
31 J. Sun#, B. Gao#, M. Zhou*#, Z. Z. Wang, F. Zhang, J. E. Deng, and X. Li*, 'Comparative Genomic Analysis Reveals Evolutionary Characteristics and Patterns of Microrna Clusters in Vertebrates', Gene, 512 (2013), 383-91
4.主持的科研项目
1) 国家自然科学基金委（地区基金）：基于深度学习的肿瘤微环境景观检测及免疫亚型识别方法的研究（32160179），35万，在研。
2) 海南省自然科学基金青年基金项目：融合多组学数据识别肿瘤免疫亚型及其T细胞障碍机制(821MS045)，5万。
3) 澳门新葡萄新京威尼斯123引进人才科研启动金项目（XRC202107）：基于深度学习的肿瘤微环境景观检测，25万。
4) 国家自然科学基金委（青年科学基金）：基于遗传变异驱动的个性化分子网络识别复杂疾病亚型（31701159），22万。
5) 黑龙江省科技厅（黑龙江省自然青年基金）：应用新一代测序数据识别癌基因组的染色体变异谱(QC2013C019)，5万。
6) 黑龙江省教育厅（科技面上)：应用表达谱及基因整合信息挖掘肝癌染色体变异区域的研究 (12521307)，1万。
7) 黑龙江省卫生厅（计划项目)：应用基因的融合信息识别乳腺癌中变异的染色体区域。
5.软件著作权
1) 乳腺癌分型诊断系统，2023.06
2) 单细胞测序数据的细胞状态分析系统V1.0，2024.07
3) 单细胞测序数据的T细胞障碍分析系统，2024.07
6. 专著与参编教材
1）《医学生物学》课程思政，人民卫生出版社，参编，2024
2）《网络生物分子数据库的全面探索：资源与应用》,陕西科学技术出版社,主编，2023
