Jian‐Liang Li

The paper shows that different drugs inducing ribosome collisions lead to distinct cellular responses through varied signaling pathways and structural changes in ribosomes.

TLR5 deficiency is linked to pulmonary fibrosis due to its role in preventing microbial dysbiosis following lung injury.

This study compares genome instability in articular chondrocytes and skin fibroblasts using whole-genome sequencing, revealing distinct mutation patterns and mutagenic mechanisms between the two cell types.

This study shows that deleting the immune receptor Lag3 in a familial AD mouse model reduces amyloidosis, microgliosis, and behavioral deficits, suggesting Lag3 as a potential therapeutic target for Alzheimer's disease.

The paper identifies APOBEC3A as the main RNA editor in human cells and viruses, showing its preference for specific motifs in mRNA and viral RNA.

This study investigates how PFOA exposure disrupts neuro-muscular development in zebrafish embryos, revealing molecular perturbations linked to behavioral changes.

This paper identifies DNA methylation biomarker panels for multi-cancer detection and tissue-of-origin classification using blood samples, achieving high sensitivity and low false positive rates.

This study identifies a hypothalamic circuit involving ARCAgRP and MPOABRS3 neurons that modulates the prioritization of feeding and parenting behaviors during lactation.

Benchmarking six long-read RNA-seq protocol-platform combinations and 14 tools across human, mouse, and manatee shows read length and accuracy drive isoform detection, depth drives quantification.

This study identifies global proteomic changes induced by SARS-CoV-2 Spike S1 protein in rat cells and shows that hyaluronan reduces these effects.

This study evaluates reproducibility and accuracy of cancer mutation detection using whole-genome and whole-exome sequencing across multiple sequencing centers and bioinformatics pipelines.

This study benchmarks scRNA-seq reproducibility across platforms and pipelines, finding that batch correction methods significantly affect results.

SALSA is a method that identifies transcriptional profiles from minimal scRNA-seq data, achieving reproducible results with reduced computational and experimental costs.

The paper compares mutation spectra between hypermutated rubella virus genomes and SARS-CoV-2 genomes, finding similarities in mutation patterns and suggesting shared mutation mechanisms.