Jun Zhang

This study identifies CCA subtype-specific biomarkers through bioinformatics analysis of transcriptomic data and machine learning prediction of transcription factors.

The paper identifies 23 race-specific prognostic biomarkers for triple-negative breast cancer (TNBC) in African American and Caucasian American women using publicly available data.

The paper investigates CCM1's role in CmPn signaling networks using omics and systems biology analysis in mouse models, finding it regulates gene transcription and microvessel integrity.

The paper identifies blood biomarker signatures associated with hemorrhagic cerebral cavernous malformations through proteomic analysis and pathway enrichment.

The paper identifies the CCM signaling complex (CSC) as a master regulator of progestin homeostasis and signaling, and reports serum biomarkers for predicting hemorrhagic events in CCM pathogenesis.

The paper identifies a novel signaling network involving the CCM signaling complex that couples classic and non-classic progesterone receptor pathways, showing how disruptions in this balance may increase breast cancer risk.

The paper analyzes perturbed CCM signaling complex (CSC) using RNA-seq and proteomics to identify downstream signaling pathways and regulatory networks involved in angiogenesis.