Lab Introduction & Major Research Interests
The focus of our recent research is cancer systems biology by integrating transcriptomics, proteomics and bioinformatics. We have developed a number of novel methods to advance systems-biology research and applied such approach for drug discovery and elucidating molecular mechanism of drug responses in cancer cells as well as in neurological development.
Recent Representative Publication ( * corresponding author)
1. Yin, C.-F., Kao, S.-C., Hsu, C.-L., Cheung, C. H.Y., Chang, Y.-W., Huang, H.-C.*, Juan, H.-F.* (2020) “Phosphoproteome analysis reveals dynamic heat shock protein 27 phosphorylation in tanshinone IIA-induced cell death” Journal of Proteome Research 19(4):1620-1634.
2. Lee, W.-H., Chen, K.-P., Wang, K., Huang, H.-C.*, Juan, H.-F.* (2020) “Characterizing the cancer-associated microbiome with small RNA sequencing data” Biochemical and Biophysical Research Communications 522:776-782.
3. Chang, H.-C., Huang, H.-C., Juan, H.-F.*, Hsu, C.-L* (2019) “Investigating the role of super-enhancer RNAs underlying embryonic stem cell differentiation” BMC Genomics 20(Suppl 10):896.
4. Hsieh, C.-H., Cheung, C. H. Y., Liu, Y.-L., Hou, C.-L., Hsu, C.-L., Huang, C.-T., Yang, T.-S., Chen, S.-F., Chen, C.-N., Hsu, W.-M.*, Huang, H.-C.*, Juan, H.-F.* (2019) “Quantitative proteomics of Th-MYCN transgenic mice reveals aurora kinase inhibitor altered metabolic pathways and enhanced ACADM to suppress neuroblastoma progression” Journal of Proteome Research 18(11):3850-3866.
5. Cheung, H. Y. C., Hsu, C.-L., Tsuei, C.-Y., Kuo, T.-T., Huang, C.-T., Hsu, W.-M., Chung, Y.-H., Wu, H.-Y., Hsu, C.-C., Huang, H.-C.*, Juan, H.-F.* (2019) “Combinatorial targeting of MTHFD2 and PAICS in purine synthesis as a novel therapeutic strategy” Cell Death & Disease 10:786.
6. Huang, C.-T., Hsieh, C.-H., Lee, W.-C., Liu, Y.-L., Yang, T.-S., Hsu, W.-M., Oyang, Y.-J., Huang, H.-C.*, Juan, H.-F.* (2019) “Therapeutic targeting of non-oncogene dependencies in high-risk neuroblastoma” Clinical Cancer Research 25(13):4063-4078.
7. Huang, C.-T., Hsieh, C.-H., Chung, Y.-H., Oyang, Y.-J., Huang, H.-C.*, Juan, H.-F.* (2019) “Perturbational gene-expression signatures for combinatorial drug discovery” iScience 15:291-306 (Cell Press).
8. Yang, T.-W., Sahu, D., Chang, Y.-W., Hsu, C.-L., Hsieh, C.-H., Huang, H.-C.*, Juan, H.-F.* (2019) “RNA-binding proteomics reveals MATR3 interacting with lncRNA SNHG1 to enhance neuroblastoma progression” Journal of Proteome Research 18: 406-416.
9. Huang, C.-T., Hsieh, C.-H., Oyang, Y.-J., Huang, H.-C.*, Juan, H.-F.* (2018) “A large-scale gene expression intensity-based similarity metric for drug repositioning” iScience 7: 40-52. (Cell Press)
10. Cheung, H. Y. C., Hsu, C.-L., Chen, K.-P., Chong, S.-T., Huang, H.-C.*, Juan, H.-F.* (2017) “MCM2-regulated functional networks in lung cancer by multi-dimensional proteomic approach” Scientific Reports 7(1):13302.
11. Hsu, C.-L., Wang, J.-K., Lu, P.-C., Huang, H.-C.*, and Juan, H.-F.* (2017) “DynaPho: a web platform for inferring the dynamics of time-series phosphoproteomics” Bioinformatics 33(22):3664-3666.
12. Cheung, C. H.-Y., Juan, H.-F.*. (2017) “Quantitative Proteomics in Lung Cancer” Journal of Biomedical Science 24:37.