Area of research
Molecular Biology · Oncology
Research interest
Research interests include Cancer-related Molecular Pathways, Epigenetics and DNA Methylation, Histone Deacetylase Inhibitors Research, and MicroRNA in disease regulation.
Collaborative regulation of rheological property and crystallization kinetics by conjugation-extension strategy enables green-processed organic photovoltaics with outstanding efficiency, stability and flexibility
Non‐Fused Star‐Shape Giant Trimer Electron Acceptors for Organic Solar Cells with Efficiency over 19 %
Synergistic strategy of rigid-bridge and flexible-bridge achieving high-performance and mechanical robustness all-Polymer solar cells
Non‐Fused Star‐Shape Giant Trimer Electron Acceptors for Organic Solar Cells with Efficiency over 19 %
Dimerized small molecular acceptors: Regulation of dimer conformation realizes binary organic solar cells with highly comprehensive performance
Notch Represses Transcription by PRC2 Recruitment to the Ternary Complex
Acetylation of Mastermind-like 1 by p300 Drives the Recruitment of NACK to Initiate Notch-Dependent Transcription
Cytoplasmic p27 promotes epithelial–mesenchymal transition and tumor metastasis via STAT3-mediated Twist1 upregulation
The Emerging Regulation of VEGFR-2 in Triple-Negative Breast Cancer
Links between oestrogen receptor activation and proteolysis: relevance to hormone-regulated cancer therapy
ERα, SKP2 and E2F-1 form a feed forward loop driving late ERα targets and G1 cell cycle progression
ERα Phosphorylation at Y537 by Src Triggers E6-AP-ERα Binding, ERα Ubiquitylation, Promoter Occupancy, and Target Gene Expression
Collaborative Research: Statistical Modeling and Inference on Directed Network Data for Understanding Faculty Hiring Dynamics
2017 Graybill Conference on Statistical Genomics and Genetics
BIGDATA: Collaborative Research: F: IA: Statistical Learning for Big Data with Random Projections
Collaborative Research: EAGER:Studying lignocellulosic fine structure and its dynamics in enzymatic hydrolysis of biomass using molecule-recognizing AFM and computational modeling