Prof. Mu Quanhua

Academic Staff

PolyU Scholars Hub

Assistant Professor

PolyU Scholars Hub

ORCID ID

SCOPUS ID

Research Overview

Our research focuses on developing and applying computational methods to reveal key factors regulating cancer progression and drug response, aiming for precise diagnosis and treatment of cancer patients.

Research Interests

Education and Academic Qualifications

Bachelor of Science, Nankai University
Master of Science, Nankai University
Doctor of Philosophy in Bioengineering, The Hong Kong University of Science and Technology

Academic and Professional Experience

Member, Bioinformatics Society of Hong Kong SAR (BISHK)
Trainee Member, Society of Neuro-Oncology (SNO)

Achievements

China Top 10 Research Advances in Glioma Research of the Year, Chinese Glioma Collaborative Research Group (2020)
HKMHDIA Research Award, Hong Kong Medical Device Industry Association (2019)
Research Travel Grant, Hong Kong University of Science and Technology (2019)
China Top 10 Research Advances in Life Sciences of the Year, Chinese Union of Life Science Societies (2018)
School of Engineering Top Research Postgraduate Award, Hong Kong University of Science and Technology (2018)

Yu, L.; Wang, X.; Mu, Q.; Tam, S. S. T.; Loi, D. S. C.; Chan, A. K. Y.; Poon, W. S.; Ng, H.-K.; Chan, D. T. M.; Wang, J.; Wu, A. R. scONE-seq: A single-cell multi-omics method enables simultaneous dissection of phenotype and genotype heterogeneity from frozen tumors. Science Advances 2023, 9, eabp8901. DOI: 10.1126/sciadv.abp8901
Wan, Y.; Mu, Q.; Krzysztoń, R.; Cohen, J.; Coraci, D.; Helenek, C.; Tompkins, C.; Lin, A.; Farquhar, K.; Cross, E.; Wang, J.; Balázsi, G. Adaptive DNA amplification of synthetic gene circuit opens a way to overcome cancer chemoresistance. Proceedings of the National Academy of Sciences 2023, 120, e2303114120. DOI: 10.1073/pnas.2303114120
Mu, Q.; Chai, R.; Pang, B.; Yang, Y.; Liu, H.; Zhao, Z.; Bao, Z.; Song, D.; Zhu, Z.; Yan, M.; Jiang, B.; Mo, Z.; Tang, J.; Sa, J. K.; Cho, H. J.; Chang, Y.; Chan, K. H. Y.; Loi, D. S. C.; Tam, S. S. T.; Chan, A. K. Y.; Wu, A. R.; Liu, Z.; Poon, W. S.; Ng, H. K.; Chan, D. T. M.; Iavarone, A.; Nam, D.-H.; Jiang, T.; Wang, J. Identifying predictors of glioma evolution from longitudinal sequencing. Science Translational Medicine 2023, 15, eadh4181. DOI: 10.1126/scitranslmed.adh4181
Mu, Q.; Wang, J. CNAPE: A Machine Learning Method for Copy Number Alteration Prediction from Gene Expression. IEEE/ACM Trans Comput Biol Bioinform 2021, 18, 306–311. DOI: 10.1109/tcbb.2019.2944827
Jiang, B.; Mu, Q.; Qiu, F.; Li, X.; Xu, W.; Yu, J.; Fu, W.; Cao, Y.; Wang, J. Machine learning of genomic features in organotropic metastases stratifies progression risk of primary tumors. Nature Communications 2021, 12, 6692. DOI: 10.1038/s41467-021-27017-w
Wang, X.; Chen, Z.; Mu, Q.; Wu, X.; Zhang, J.; Mao, D.; Luo, Y.; Alvarez, P. J. J. Ionic Liquid Enriches the Antibiotic Resistome, Especially Efflux Pump Genes, Before Significantly Affecting Microbial Community Structure. Environmental Science & Technology 2020, 54, 4305–4315. DOI: 10.1021/acs.est.9b04116
Oldrini, B.; Vaquero-Siguero, N.; Mu, Q.; Kroon, P.; Zhang, Y.; Galán-Ganga, M.; Bao, Z.; Wang, Z.; Liu, H.; Sa, J. K.; Zhao, J.; Kim, H.; Rodriguez-Perales, S.; Nam, D.-H.; Verhaak, R. G. W.; Rabadan, R.; Jiang, T.; Wang, J.; Squatrito, M. MGMT genomic rearrangements contribute to chemotherapy resistance in gliomas. Nature Communications 2020, 11, 3883. DOI: 10.1038/s41467-020-17717-0
Mu, Q.; Chen, Y.; Wang, J. Deciphering Brain Complexity Using Single-cell Sequencing. Genomics Proteomics Bioinformatics 2019, 17, 344–366. DOI: 10.1016/j.gpb.2018.07.007
Hu, H.; Mu, Q.; Bao, Z.; Chen, Y.; Liu, Y.; Chen, J.; Wang, K.; Wang, Z.; Nam, Y.; Jiang, B.; Sa, J. K.; Cho, H. J.; Her, N. G.; Zhang, C.; Zhao, Z.; Zhang, Y.; Zeng, F.; Wu, F.; Kang, X.; Liu, Y.; Qian, Z.; Wang, Z.; Huang, R.; Wang, Q.; Zhang, W.; Qiu, X.; Li, W.; Nam, D. H.; Fan, X.; Wang, J.; Jiang, T. Mutational Landscape of Secondary Glioblastoma Guides MET-Targeted Trial in Brain Tumor. Cell 2018, 175, 1665–1678.e1618. DOI: 10.1016/j.cell.2018.09.038
Mu, Q.; Li, J.; Sun, Y.; Mao, D.; Wang, Q.; Luo, Y. Occurrence of sulfonamide-, tetracycline-, plasmid-mediated quinolone- and macrolide-resistance genes in livestock feedlots in Northern China. Environmental Science and Pollution Research 2015, 22, 6932–6940. DOI: 10.1007/s11356-014-3905-5