The main interests of Guo lab are invovled in the development of bioinformatics methods and databases in regulatory networks, cancer biology, immunity and extracellular vesicles; the investigation of tumor immunity and complex diseases and microvesicle exosomes via big data and omics research, such as genomics, transcriptomics, epiomics, and single-cell sequencing; as well as biomarker discovery for early diagnosis and prognosis of diseases. 

The research topics in Guo lab focus on: 

1) The development of tools and databases in bioinformatics;

2) The key regulatory module analysis for complex diseases;

3) The complete analysis of omics data in cancer;

4) Data mining and analysis for the interaction between tumor microenvironment and immunity;

5) Bioinformatics analysis for the exosomes and microvesicles.

In the past five years, the members of Guo lab have published more than 30 SCI papers in top journals of bioinformatics and cancer biology including Advanced Science, Nucleic Acids Research, Cancer Research, Briefings in Bioinformatics, Theranostics, Oncogene, etc. Several laboratory graduates have served as professors or associate professors.

More information about Guo lab: /hust/mu_life/mu_bioinfo/guo_lab#!/

• [1] Hui Hu, Ya-Ru Miao, Long-Hao Jia, Qing-Yang Yu, Qiong Zhang, An-Yuan Guo#; AnimalTFDB 3.0: a comprehensive resource for annotation and prediction of animal transcription factors. Nucleic Acids Research, Volume 47, Issue D1, 8 January 2019, Pages D33-D38. Online.

• [2] Teng Liu, Qiong Zhang, Jiankun Zhang, Chao Li, Ya-Ru Miao, Qian Lei, Qiubai Li#, An-Yuan Guo#; EVmiRNA: a database of miRNA profiling in extracellular vesicles. Nucleic Acids Research, 2019 Jan 8. 47(D1), D89-D93. Online

• [3] Ya-Ru Miao, Qiong Zhang, Qian Lei, Mei Luo, Gui-Yan Xie, Hongxiang Wang, An-Yuan Guo#, ImmuCellAI: A Unique Method for Comprehensive T-Cell Subsets Abundance Prediction and its Application in Cancer Immunotherapy. Advanced Science 2020, 1902880. Online

• [4] Qiong Zhang, Mei Luo, Chun-Jie Liu, An-Yuan Guo#, CCLA: an accurate method and web server for cancer cell line authentication using gene expression profiles, Briefings in Bioinformatics. bbaa093 Online

• [5] Si-Yi Chen, Tao Yue, Qian Lei#, An-Yuan Guo#, TCRdb: a comprehensive database for T-cell receptor sequences with powerful search function Nucleic Acids Res. 29 September 2020, doi.10.1093/nar/gkaa783 Online