Assist Prof Dr. Chen Huang, Macau University of Science and Technology, Macau
Assist. Prof. Dr. Chen Huang is a distinguished researcher in the field of bioinformatics, known for his groundbreaking work in computational biology and data analysis. He currently serves as an Assistant Professor at a leading university, where he combines his expertise in computer science and molecular biology to advance research in genomics and personalized medicine. Dr. Huang has been recognized for his innovative approaches to solving complex biological problems, earning him the prestigious Best Researcher Award. His contributions have significantly impacted the understanding of genetic data and the development of novel bioinformatics tools, making him a leader in his field
Academic Qualification
Assist. Prof. Dr. Chen Huang holds a Ph.D. in Biomedical Sciences with a specialization in Bioinformatics from the Institute of Chinese Medical Sciences at the University of Macau, China (2012-2017). He also earned an M.E. in Bioinformatics from the Biological Information Science and Technology Institute at Harbin Medical University, China (2007-2010). Dr. Huang began his academic journey with a B.S. in Biotechnology, focusing on Biopharmaceuticals, from the College of Life Science at Nanchang University, China (2003-2007). His diverse educational background has laid a strong foundation for his pioneering research in bioinformatics.
Working Experiances
Assist. Prof. Dr. Chen Huang is currently serving as an Assistant Professor at the State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macao, a position he has held since 2020. Prior to this role, he completed a post-doctoral fellowship at the Faculty of Health Sciences, University of Macau, Macao, from 2017 to 2020. Before his post-doctoral tenure, Dr. Huang worked as an Analyst at the Beijing Genomics Institute in Shenzhen (BGI-Shenzhen) from 2010 to 2012.
Publication Top Notes
Lu, C., Huang, C., Qu, S., Lin, H., Zhong, H.-J., & Chong, C.-M. (2024). Oxyimperatorin attenuates LPS-induced microglial activation in vitro and in vivo via suppressing NF-κB p65 signaling. Biomedicine & Pharmacotherapy. https://doi.org/10.1016/j.biopha.2024.116379
Yang, X., Wu, Y., Chen, X., Qiu, J., & Huang, C. (2024). The transcriptional landscape of immune-response 3′-UTR alternative polyadenylation in melanoma. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms25053041
Zhang, Y.-Z., Lai, H.-L., Huang, C., Jiang, Z.-B., Yan, H.-X., Wang, X.-R., Xie, C., Huang, J.-M., Ren, W.-K., Li, J.-X., Zhai, Z.-R., Yao, X.-J., Wu, Q.-B., & Leung, E. L.-H. (2024). Tanshinone IIA induces ER stress and JNK activation to inhibit tumor growth and enhance anti-PD-1 immunotherapy in non-small cell lung cancer. Phytomedicine. https://doi.org/10.1016/j.phymed.2024.155431
Cheng, X., Deng, M., Wang, Z., & Huang, C. (2024). MMP3C: An in-silico framework to depict cancer metabolic plasticity using gene expression profiles. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbad471
Wang, Z., Chen, X., Si, W., & Huang, C. (2023). Systemic pharmacology and bioinformatics: Exploring the modern biological mechanisms of rhubarb in the treatment of papillary thyroid carcinoma. MedComm – Future Medicine. https://doi.org/10.1002/mef2.69
Huang, C., Deng, M., Leng, D., Sun, B., Zheng, P., & Zhang, X. D. (2023). MIRS: An AI scoring system for predicting the prognosis and therapy of breast cancer. iScience. https://doi.org/10.1016/j.isci.2023.108322
Feng, Y., Chen, X., Zhang, X. D., & Huang, C. (2023). Metabolic pathway pairwise-based signature as a potential non-invasive diagnostic marker in Alzheimer’s disease patients. Genes. https://doi.org/10.3390/genes14061285
Cheng, T., Wu, Y., Liu, Z., Yu, Y., Sun, S., Guo, M., Sun, B., & Huang, C. (2022). CDKN2A-mediated molecular subtypes characterize the hallmarks of tumor microenvironment and guide precision medicine in triple-negative breast cancer. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2022.970950
Wu, L., Hou, X., Luo, W., Hu, H., Zheng, X., Chen, Y., Cheng, Z., Huang, C., & Sun, B. (2022). Three patterns of sensitization to mugwort, timothy, birch, and their major allergen components revealed by latent class analysis. Molecular Immunology. https://doi.org/10.1016/j.molimm.2022.03.009
Cheng, T., Chen, P., Chen, J., Deng, Y., & Huang, C. (2022). Landscape analysis of matrix metalloproteinases unveils key prognostic markers for patients with breast cancer. Frontiers in Genetics. https://doi.org/10.3389/fgene.2021.809600