Welcome to Jiguang Wang Lab!
We are a computational laboratory in the Division of Life Science and Department of Chemical and Biological Engineering at Hong Kong University of Science and Technology (HKUST).
Somatic MAP3K3 mutation Defines a Subclass of Cerebral Cavernous Malformation. Accepted for publication at American Journal of Human Genetics
Learn More
Mutational landscape of secondary glioblastoma guides MET-targeted trial in brain tumor
Learn More
Multi-sector genomic data from 52 Glioblastoma patients reveals a multiverse model of cancer evolution.
Learn More
Longitudinal genomic data from 114 Glioblastoma patients has been used to study GBM evolution under therapy
Learn More
We have discovered a novel type of noncoding RNA, xTSS RNA, which is expressed at antisense TSS regions of genes that accumulate AID-mediated somatic mutations
Learn More
ATRAIN pipeline discovered novel long noncoding RNAs that control super-enhancer activity
Learn More
Computational method TEDG reveals order of somatic mutations in chronic lymphocytic leukemia
Learn MoreCongratulations! Yurong WU, the UROP student in our lab,has been elected to the finalist of the 2021 Mr Armin and Mrs Lillian Kitchell Undergraduate Research Award!
Congratulations to Yingxi, Dong, Yiyun, and Yoonhee! The Cerebral Cavernous Malformation (CCM) study has been officially accepted by American Journal of Human Genetics. In this study, we discovered and elucidated the role of MEKK3-I441M in CCM. The I441M mutation that actives kinase activity in CM endothelium is a fascinating finding that not only reveals etiology of popcorn-like CM but also provides a theoretical foundation for developing non-invasive methods for genotyping, patient diagnosis and potential targeted therapy against vascular malformations. Well done!
Congratulations to Yiyun Chen, Hongyu Shi, Shengshuo Huang and Prof. Jiguang Wang for the acceptance of the study "Classifying gastric cancer using FLORA reveals clinically-relevant molecular subtypes and highlights LINC01614 as a biomarker for patient prognosis" in Oncogene!
