Z. Fang

This study develops a human hepatic organoid model of ARPKD liver fibrosis, showing that the ARPKD mutation leads to fibrosis through TGFβ and PDGFRB pathways.

The paper introduces DeepHoF, a deep learning method to predict viral hosts, and applies it to SARS-CoV-2 to identify potential hosts and analyze host range uniformity during the pandemic.

The paper investigates signal bias at glucagon family receptors, showing biased agonists affect intracellular signaling and insulin secretion differently.

The paper evaluates how peptide context affects GLP-1R signaling and trafficking, showing differences in agonist-mediated responses based on sequence homology and structural features.

The paper introduces a deep learning method to predict virus hosts using DNA sequences, applied to 2019-nCoV to identify potential hosts like bats and minks.

This study shows that S. thermophilus 19 reduces inflammation in septic mice by remodeling gut microbiota.

This study compares the signalling, trafficking, and glucoregulatory effects of exendin-4 and lixisenatide, finding differences in cAMP signalling potency and receptor recycling that impact glucose control.

This study compares the gut microbiome of short-term and long-term medical workers to normal controls, finding significant structural changes linked to hospital exposure.

This study identifies SPIN1 as a regulator of the uL18-MDM2-p53 pathway, showing that SPIN1 promotes tumorigenesis by inhibiting p53 activation.

This study uses exome-capture RNA-sequencing on decade-old breast cancer specimens and matched bone metastases to identify clinically actionable gene expression changes in metastatic progression.