Junhua Li

This study uses spatial transcriptomics to show that cerebral vasculatures, particularly meninges, drive inflammation and tissue damage in Japanese encephalitis by forming a feedback loop involving immune cells and cell death mechanisms.

This study uses spatiotemporal transcriptomics to analyze immune dynamics in E. multilocularis infected mouse liver, identifying key immune cell roles and shifts in immune strategy during infection.

The paper analyzes the pathogen infectome of small mammals in southern China, identifying new pathogens and factors influencing their distribution and diversity.

This study analyzes cell-free DNA in COVID-19 patients to show its potential for disease monitoring and tissue injury assessment.

The paper analyzes the genetic diversity of HPV types 16, 18, 52, and 58 in southern China, identifying sublineages and mutations associated with oncogenic potential.

The paper analyzes mutation profiles, glycosylation sites, and codon usage bias in HPV16 genomes to understand lineage differences and adaptation mechanisms.

This study characterizes intra-host SARS-CoV-2 genomic variants and their evolutionary dynamics in COVID-19 patients using deep sequencing data.

This study compares SARS-CoV-2 viral populations in COVID-19 patients to show narrow transmission bottlenecks and stochastic dynamics in intra-host and inter-host evolution.

The paper identifies CTP synthesis as a metabolic bottleneck that constrains SARS-CoV-2 evolution towards attenuation and highlights viperin's role in antiviral defense.

This paper compares amplicon, hybrid capture, and metatranscriptomic sequencing methods for directly sequencing SARS-CoV-2 genomes from clinical samples, finding differences in bias, sensitivity, and accuracy.

This study identifies age-related sex differences in gut microbiota composition and functionality across two population cohorts, showing women have more diverse and stable microbiota than men, with sex differences diminishing in older adults.

MetaPGN constructs and visualizes pangenome networks from microbial genomes or metagenomes, revealing genetic diversity in E. coli and gut microbiomes.

This study analyzes cytokine dynamics in H7N9-infected patients with different outcomes, identifying predictors and a real-time prognosis model.