[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年9月-2016年3月 东京大学 生物情报工学 博士

2009年9月-2012年6月 东华大学 生物化学与分子生物学 硕士

2005年9月-2009年6月 苏州科技大学 生物科学 本科

[工作经历]

2018年12月-至今   江苏大学 副教授

2018年3月-2019年6月   亚利桑那大学 助理研究员

2017年7月-2018年3月   伊坎西奈山医学院(纽约)   博士后

2016年5月-2017年6月   哥伦比亚大学(纽约) 博士后

[主讲课程]

生物信息学

[研究领域]

§ 多组学数据整合与疾病机制研究: 结合基因组、转录组、蛋白质组等多组学数据，利用人工智能解析复杂疾病的潜在机制，助力精准医疗。

§ 人工智能在生物信息学与药物研发中的应用: 通过深度学习和计算模型，挖掘生物医学数据，优化新药筛选、靶点预测和疾病诊断策略。

§ 植物基因组学与中草药功能基因挖掘: 利用高通量测序和机器学习技术解析中草药基因组，挖掘调控活性成分合成和药效的关键基因，为中药现代化提供科学依据。

[科研项目]

I. 中国初级卫生保健基金会新锐肿瘤支持治疗课题/2024年-2026年/10万/参与/在研

II. 国家自然科学基金委员会青年科学基金项目/2021年-2023年/24万/主持/结题

III. 江苏省双创博士项目/2021年-2023年/15万/主持/结题

IV. 江苏大学高级人才启动基金/2019年-2023年/7万/主持/结题

[主要论文] (* 通讯作者)

2025年

1. Liu, J., S. Yu, P. Lu, X. Gong, M. Sun and M. Tang* (2025). "De novo assembly and characterization of the complete mitochondrial genome of Phellodendron amurense reveals three repeat-mediated recombination." Gene 935: 149031.

2. Zhou, G., M. Qin, X. Liu, Y. Qi, X. Ou and M. Tang* (2025). "De novo assembly of the mitochondrial genome of Glycyrrhiza glabra and identification of two types of homologous recombination configurations caused by repeat sequences." BMC Genomics 26(1).

2024年

1. Gong, X., C. Guo, J. Liu, Z. Li, J. Ruan, M. Tang, J. Gu and H. Shi (2024). "Unraveling cadmium-driven liver inflammation with a focus on arachidonic acid metabolites and TLR4/ IκBα /NF-κB pathway." Ecotoxicology and Environmental Safety 286.

2. Gong, X., S.-Y. Yang, Z.-Y. Wang and M. Tang* (2024). "The role of hypoxic microenvironment in autoimmune diseases." Frontiers in Immunology 15.

3. Gong, X., H. Zhang, Y. Guo, S. Yu and M. Tang* (2024). "Chromosome‐level genome assembly of Iodes seguinii and its metabonomic implications for rheumatoid arthritis treatment." The Plant Genome.

4. Liu, X., Y. Liu, J. Liu, H. Zhang, C. Shan, Y. Guo, X. Gong, M. Cui, X. Li and M. Tang* (2024). "Correlation between the gut microbiome and neurodegenerative diseases: a review of metagenomics evidence." Neural Regen Res 19(4): 833-845.

5. Liu, Y., D. Sun, C. Xu, X. Liu, M. Tang* and S. Ying* (2024). "In-depth transcriptome profiling of Cherry Valley duck lungs exposed to chronic heat stress." Frontiers in Veterinary Science 11.

6. Lu, P., R. Zhang, Y. Yang, M. Tang, K. Chen and Y. Pan (2024). "Transcriptome analysis indicates the mechanisms of BmNPV resistance in Bombyx mori midgut." Journal of Invertebrate Pathology: 108103.

7.Tang, M., Y. Liu, H. Zhang, L. Sun, P. Lü and K. Chen (2024). "Comprehensive transcriptome sequencing of silkworm Midguts: Uncovering extensive isoform diversity and alternative splicing in BmNPV-Sensitive and BmNPV-resistant strains." Journal of Invertebrate Pathology 204.

8. Zhang, H., J. Yang, Y. Guo, P. Lu, X. Gong, K. Chen, X. Li and M. Tang* (2024). "Rotenone-induced PINK1/Parkin-mediated mitophagy: establishing a silkworm model for Parkinson's disease potential." Front Mol Neurosci 17: 1359294.

9. Zheng, J., X. Li, X. Gong, Y. Hu and M. Tang* (2024). "Elucidating the molecular and immune interplay between head and neck squamous cell carcinoma and diffuse large B-cell lymphoma through bioinformatics and machine learning." Translational Cancer Research 13(11): 5725-5750.

2023年

1. Liu, Y., X. Liu, H. Zhang, J. Liu, C. Shan, Y. Guo, X. Gong and M. Tang* (2023). "Editorial: Artificial intelligence in digital pathology image analysis." Front Bioinform 3: 1007986.

2. Pan, Y., P. Lü, M. Tang and K. Chen (2023). "Pathological changes in the main immune organs of silkworm infected with Staphylococcus aureus." Invertebrate Survival Journal 20: 38-43.

2022年

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

2. Gu, J., A. Kong, C. Guo, J. Liu, K. Li, Z. Ren, Y. Zhou, M. Tang and H. Shi (2022). "Cadmium perturbed lipid profile and induced liver dysfunction in mice through phosphatidylcholine remodeling and promoting arachidonic acid synthesis and metabolism." Ecotoxicol Environ Saf 247: 114254.

3. Guo, Y., X. Liu, Y. Liu, H. Zhang, J. Liu, C. Shan, X. Gong and M. Tang (2022). "Editorial: Computational tools in inferring cancer tissue-of-origin and molecular classification towards personalized cancer therapy, volume III." Front Genet 13: 1078871.

4. He, B., K. Wang, J. Xiang, P. Bing, M. Tang, G. Tian, C. Guo, M. Xu and J. Yang (2022). "DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network." Brief Bioinform 23(6).

5. Liu, G., M. Li, H. Wang, S. Lin, J. Xu, R. Li, M. Tang and C. Li (2022). "D3K: The Dissimilarity-Density-Dynamic Radius K-means Clustering Algorithm for scRNA-Seq Data." Front Genet 13: 912711.

6. Liu, J., Y. Zhang, X. Liu, H. Zhang, Y. Liu, K. Chen, M. Tang and L. Sun (2022). "Effects of Glutamine Starvation on SHVV Replication by Quantitative Proteomics Analysis." Fishes 7(6).

7. Liu, X., X. Gong, Y. Liu, J. Liu, H. Zhang, S. Qiao, G. Li and M. Tang (2022). "Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds." Front Plant Sci 13: 900035.

8. Shan, C., X. Liu, Y. Liu, H. Zhang, J. Liu, Y. Guo, X. Gong and M. Tang (2022). "Editorial: Integrative multi-omics for diagnosis, treatments, and drug discovery of aging-related neuronal diseases." Front Aging Neurosci 14: 1047076.

9. Wang, Y., J. Xiang, C. Liu, M. Tang, R. Hou, M. Bao, G. Tian, J. He and B. He (2022). "Drug repositioning for SARS-CoV-2 by Gaussian kernel similarity bilinear matrix factorization." Front Microbiol 13: 1062281.

10. Yao, Y., Y. Lv, L. Tong, Y. Liang, S. Xi, B. Ji, G. Zhang, L. Li, G. Tian, M. Tang, X. Hu, S. Li and J. Yang (2022). "ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data." Brief Bioinform 23(6).

11. Yuan, X., Z. Wang, C. Li, K. Lv, G. Tian, M. Tang, L. Ji and J. Yang (2022). "Bacterial biomarkers capable of identifying recurrence or metastasis carry disease severity information for lung cancer." Front Microbiol 13: 1007831.

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

2021年

1. Kui, L., C. Guo, S. C. Li, J. Yang and M. Tang* (2021). "Editorial: Computational Methods in Inferring Cancer Tissue-of-Origin and Cancer Molecular Classification." Front Genet 12: 644542.

2. Tang, M*., S. He, X. Gong, P. Lu, R. H. Taha and K. Chen (2021). "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." Front Genet 12: 718266.

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

2020年及以前

1. Kui, L., M. Tang, S. Duan, S. Wang and X. Dong (2020). "Identification of Selective Sweeps in the Domesticated Table and Wine Grape (Vitis vinifera L.)." Front Plant Sci 11: 572.

2. Li, W., L. Kui, T. Demetrios, X. Gong and M. Tang* (2020). "A Glimmer of Hope: Maintain Mitochondrial Homeostasis to Mitigate Alzheimer's Disease." Aging Dis 11(5): 1260-1275.

3.Tang, M., 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 (2020). "Synonymous variants associated with Alzheimer disease in multiplex families." Neurol Genet 6(4): e450.

4.Tang, M., L. Kui, G. Lu and W. Chen (2020). "Disease-Associated Circular RNAs: From Biology to Computational Identification." Biomed Res Int 2020: 6798590.

5. Yang, X., L. Kui, M. Tang, D. Li, K. Wei, W. Chen, J. Miao and Y. Dong (2020). "High-Throughput Transcriptome Profiling in Drug and Biomarker Discovery." Front Genet 11: 19.

6. Zhou, X., G. He, J. Ma, M. Tang, G. Tian, X. Gong, H. Zhang and L. Kui (2020). "Protective Effect of a Novel Polysaccharide from Lonicera japonica on Cardiomyocytes of Mice Injured by Hydrogen Peroxide." Biomed Res Int 2020: 5279193.

7. Zhuang, J., S. Dai, L. Zhang, P. Gao, Y. Han, G. Tian, N. Yan, M. Tang and L. Kui (2020). "Identifying Breast Cancer-induced Gene Perturbations and its Application in Guiding Drug Repurposing." Current Bioinformatics 15(9): 1075-1089.

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

9. Ge, Q., 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 (2018). "Mulberry Leaf Regulates Differentially Expressed Genes in Diabetic Mice Liver Based on RNA-Seq Analysis." Front Physiol 9: 1051.

10. Qureshi, Y. H., 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 (2018). "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(20): e00011-00018.

11. Tang, M. and C. Reitz (2017). "Genetics of Alzheimer's disease: an update." Future Neurol 12(4): 237-247.

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

13.汤敏, 倪丽菊, 高骏, 肖君华, 胡建华, 高诚. 东方田鼠部分BAC文库的微卫星筛选[J]. 中国实验动物学报, 2012, 20(3):50-55.

[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2025年3月）