Ting Zhang

Immunometabolic Remodeling of Perivascular Adipose Tissue in Murine Lupus: Implications for Lupus Vasculopathy

This study identifies molecular changes in perivascular adipose tissue in lupus mice, showing mitochondrial dysfunction, immune activation, and impaired adipogenic capacity.

Role of Alanine Transaminase in Retinal Metabolic Homeostasis: Potential therapeutic target in retinal diseases

This study investigates the role of alanine transaminase (ALT) in human neural retina metabolism, showing its involvement in carbon/nitrogen flux and redox balance, with potential therapeutic implications for retinal diseases.

Volume regulation of cancer cells during osmotic pressure variation

This study compares how cancer and normal cells respond to osmotic pressure changes, finding cancer cells recover volume and traction forces more slowly under hypotonic conditions.

Genomic Structural Variation Underlies Cell-Type-Specific Betacyanin Variegation in Chenopodium quinoa

The paper identifies a genomic insertion in quinoa that restores a functional CYP76AD gene, leading to cell-type-specific betacyanin accumulation in epidermal bladder cells.

An organoid co-culture model for probing systemic anti-tumor immunity in lung cancer

The paper develops a co-culture model of lung cancer organoids and peripheral blood mononuclear cells to study systemic anti-tumor immunity and predict immunotherapy outcomes.

Large-scale single-cell long-read genomics enables high-resolution microbiome profiling

The paper introduces CAP-seq, a single-cell genomics platform for microbiome analysis, demonstrating strain-level resolution and high genome recovery from microbial communities.

Kindlin2-mediated phase separation underlies integrin adhesion formation

This study shows that kindlin2-mediated phase separation facilitates integrin adhesion formation by enabling condensate assembly and integrin activation.

Beyond the traditional simulation design for evaluating type 1 error rate: from ‘theoretical’ to ‘empirical’ null

The paper evaluates type 1 error rate control in statistical tests using different simulation designs, showing that empirical null designs reveal inflated error rates compared to theoretical null designs.