[个人简介]

籍贯：江苏溧阳

出生日期：1985年8月

职称：副教授, 硕士生导师

E-mail：mt3138@ujs.edu.cn

[教育经历]

2012-2016  东京大学 生物情报工学 博士

2009-2012  东华大学 生物化学与分子生物学 硕士

2005-2009  苏州科技大学  生物科学  本科

[工作经历]

2018-至今 江苏大学 副教授

2018-2019  亚利桑那大学  助理研究员

2017-2018  伊坎西奈山医学院(纽约) 博士后

2016-2017  哥伦比亚大学(纽约)  博士后

[主讲课程]

生物信息学、生物统计学

[研究领域]

家蚕抗病毒机制的生物学研究

探究肠道微生物在人类健康和疾病中的作用

结合多组学数据用于诊断和治疗退行性疾病及药物研发

利用计算机技术和数学模型开发高通量测序数据的生物信息学流程

[学术兼职]

《Computational and Mathematical Methods in Medicine》期刊编辑

《Biomed Research International》期刊编辑

[科研项目]

江苏大学高级人才启动基金     主持，在研

江苏省双创博士项目                 主持，在研

国家自然科学基金青年项目     主持，在研

[主要论文] (* 通讯作者)

[1] H. Zhang, X. Liu, Y. Liu, J. Liu, X. Gong, G. Li, and M. Tang*, Crosstalk between regulatory non-coding RNAs and oxidative stress in Parkinson's disease. Front Aging Neurosci 14 (2022) 975248.

[2] X. Yuan, Z. Wang, C. Li, K. Lv, G. Tian, M. Tang, L. Ji, and J. Yang, Bacterial biomarkers capable of identifying recurrence or metastasis carry disease severity information for lung cancer. Frontiers in Microbiology 13 (2022).

[3] Y. Wang, J. Xiang, C. Liu, M. Tang, R. Hou, M. Bao, G. Tian, J. He, and B. He, Drug repositioning for SARS-CoV-2 by Gaussian kernel similarity bilinear matrix factorization. Frontiers in Microbiology 13 (2022).

[4] X. Liu, X. Gong, Y. Liu, J. Liu, H. Zhang, S. Qiao, G. Li, and M. Tang*, Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds. Frontiers in Plant Science 13 (2022).

[5] J. Liu, Y. Zhang, X. Liu, H. Zhang, Y. Liu, K. Chen, M. Tang, and L. Sun, Effects of Glutamine Starvation on SHVV Replication by Quantitative Proteomics Analysis. Fishes 7 (2022).

[6] G. Liu, M. Li, H. Wang, S. Lin, J. Xu, R. Li, M. Tang, and C. Li, D3K: The Dissimilarity-Density-Dynamic Radius K-means Clustering Algorithm for scRNA-Seq Data. Frontiers in Genetics 13 (2022).

[7] X. Gong, H. Zhang, X. Liu, Y. Liu, J. Liu, F.O. Fapohunda, P. Lu, K. Wang, and M. Tang*, Is liquid biopsy mature enough for the diagnosis of Alzheimer's disease? Front Aging Neurosci 14 (2022) 977999.

[8] J. Yang, Y. Hui, Y. Zhang, M. Zhang, B. Ji, G. Tian, Y. Guo, M. Tang, L. Li, B. Guo, and T. Ma, Application of Circulating Tumor DNA as a Biomarker for Non-Small Cell Lung Cancer. Front Oncol 11 (2021) 725938.

[9] M. Tang, S. He, X. Gong, P. Lü, R.H. Taha, and K. Chen, High-Quality de novo Chromosome-Level Genome Assembly of a Single Bombyx mori With BmNPV Resistance by a Combination of PacBio Long-Read Sequencing, Illumina Short-Read Sequencing, and Hi-C Sequencing. Frontiers in Genetics 12 (2021).

[10] X. Zhou, G. He, J. Ma, M. Tang, G. Tian, X. Gong, H. Zhang, and L. Kui, Protective Effect of a Novel Polysaccharide from Lonicera japonica on Cardiomyocytes of Mice Injured by Hydrogen Peroxide. BioMed Research International 2020 (2020) 1-9.

[11] X. Yang, L. Kui, M. Tang, D. Li, K. Wei, W. Chen, J. Miao, and Y. Dong, High-Throughput Transcriptome Profiling in Drug and Biomarker Discovery. Frontiers in Genetics 11 (2020).

[12] M. Tang, L. Kui, G. Lu, and W. Chen, Disease-Associated Circular RNAs: From Biology to Computational Identification. BioMed Research International 2020 (2020) 1-21.

[13] M. Tang, M.E. Alaniz, D. Felsky, B. Vardarajan, D. Reyes-Dumeyer, R. Lantigua, M. Medrano, D.A. Bennett, P.L. de Jager, R. Mayeux, I. Santa-Maria, and C. Reitz, Synonymous variants associated with Alzheimer disease in multiplex families. Neurology Genetics 6 (2020).

[14] W. Li, L. Kui, T. Demetrios, X. Gong, and M. Tang*, A Glimmer of Hope: Maintain Mitochondrial Homeostasis to Mitigate Alzheimer's Disease. Aging Dis 11 (2020) 1260-1275.

[15] N. Wang, F. Zhu, M. Shen, L. Qiu, M. Tang, H. Xia, L. Chen, Y. Yuan, S. Ma, and K. Chen, Network pharmacology-based analysis on bioactive anti-diabetic compounds in Potentilla discolor bunge. J Ethnopharmacol 241 (2019) 111905.

[16] Y.H. Qureshi, V.M. Patel, D.E. Berman, M.J. Kothiya, J.L. Neufeld, B. Vardarajan, M. Tang, D. Reyes-Dumeyer, R. Lantigua, M. Medrano, I.J. Jiménez-Velázquez, S.A. Small, and C. Reitz, An Alzheimer's disease-linked loss-of-function CLN5 variant impairs cathepsin D maturation, consistent with a retromer trafficking defect. Molecular and cellular biology 38 (2018) e00011-18.

[17] M. Lu, X. Xu, B. Xi, Q. Dai, C. Li, L. Su, X. Zhou, M. Tang, Y. Yao, and J. Yang, Molecular Network-Based Identification of Competing Endogenous RNAs in Thyroid Carcinoma. Genes (Basel) 9 (2018).

[18] Q. Ge, S. Zhang, L. Chen, M. Tang, L. Liu, M. Kang, L. Gao, S. Ma, Y. Yang, P. Lv, M. Kong, Q. Yao, F. Feng, and K. Chen, Mulberry Leaf Regulates Differentially Expressed Genes in Diabetic Mice Liver Based on RNA-Seq Analysis. Front Physiol 9 (2018) 1051.

[19] Q. Ge, L. Chen, M. Tang, S. Zhang, L. Liu, L. Gao, S. Ma, M. Kong, Q. Yao, F. Feng, and K. Chen, Analysis of mulberry leaf components in the treatment of diabetes using network pharmacology. Eur J Pharmacol 833 (2018) 50-62.

[20] R. Cheng, M. Tang, I. Martinez, T. Ayodele, P. Baez, D. Reyes-Dumeyer, R. Lantigua, M. Medrano, I. Jimenez-Velazquez, J.H. Lee, G.W. Beecham, and C. Reitz, Linkage analysis of multiplex Caribbean Hispanic families loaded for unexplained early-onset cases identifies novel Alzheimer's disease loci. Alzheimers Dement (Amst) 10 (2018) 554-562.

[21] M. Tang, and C. Reitz, Genetics of Alzheimer's disease - an update. Future neurology 12 (2017) 237-247.

[22] M. Tang, J. Sun, K. Shimizu, and K. Kadota, Evaluation of methods for differential expression analysis on multi-group RNA-seq count data. BMC Bioinformatics 16 (2015) 361.

[主要论著]

[1] Chen WQ, Tang M* (2020). An introduction to single-cell RNA-seq analysis and its applications. Systems Medicine: Integrative, Qualitative and Computational Approaches, 1:116-128.

[2] Sun JQ, Tang M* (2020). The programming languages: introduction of R. Systems Medicine: Integrative, Qualitative and Computational Approaches, 1:1-8.

[3] Kui L, Tang M* (2020). Overview of Computational Methods and Resources for circular RNAs. Systems Medicine: Integrative, Qualitative and Computational Approaches,1:85-93.

[4]門田幸二, 孫建強, 湯敏, 西岡輔, 清水謙多郎,「次世代シーケンサーデータの解析手法：第1回イントロダクション」, 日本乳酸菌学会誌, 25(2):87-94, 2014.
[5] 孫建強, 湯敏, 西岡輔, 清水謙多郎, 門田幸二,「次世代シーケンサーデータの解析手法：第2回GUI環境からコマンドライン環境へ」, 日本乳酸菌学会誌, 25(3):166-174, 2014.

[6] 孫建強, 湯敏, 清水謙多郎, 門田幸二,「次世代シーケンサーデータの解析手法：第4回クオリティコントロールとプログラムのインストール」, 日本乳酸菌学会誌, 26(2):124-132, 2015.

（更新于2023年2月26日）