Lin Zhang

The paper develops a statistical framework for Hardy-Weinberg equilibrium testing on the X chromosome, showing that existing methods can have inflated type I error or misleading results when sex differences in minor allele frequency are present.

The paper identifies two proteins, NosP and NosQ, that enable N2O reduction in acidic environments by protecting the NosZ enzyme from low pH.

This paper defines and validates a new form of cell death called Ferrapoptosis, which combines features of ferroptosis and apoptosis in traumatic brain injury, and identifies Smg7 as a key regulator.

This study analyzes CNA signatures in single-cell and bulk samples of hepatocellular carcinoma, revealing masked patterns and potential biomarkers for prognosis and treatment.

RCANE predicts whole-genome somatic copy number aberrations across cancers using RNA-seq data, outperforming existing methods on TCGA and DepMap datasets.

This study identifies SPF1/2 SUMO proteases that inhibit seed filling and fatty acid biosynthesis by deSUMOylating WRI1, enhancing its degradation and reducing oil accumulation in Arabidopsis.

This study identifies PRMT inhibitors as effective combinational therapies with PARP inhibitors to sensitize HR-proficient ovarian and breast cancer cells to treatment.

The paper introduces a CRISPR-based synthetic transcription system for programmable gene expression in mammalian cells, demonstrating its ability to control gene activity and cellular functions with high tunability.

This study evaluates how dataset imbalance affects single-cell RNA sequencing integration and introduces metrics to assess integration stability in imbalanced settings.

This study performs a meta-analysis of exhausted CD8+ T cells in humans and mice to identify robust therapeutic targets for immunotherapy.

The paper evaluates parameters for genome-scale metabolic models of cultured mammalian cells, finding that homeostasis, dynamic morphology, and biomass composition are critical for accurate predictions.