Huijue Jia

This paper introduces a precision culturomics method using single-cell morphology and Raman spectra to sort and analyze microbial cells, revealing antibiotic-driven resistance and mutations in gut commensals.

The paper reports a method using LIFT technology to obtain high-quality microbial single-cell genomes or transcriptomes from complex samples and demonstrates its application to study cell-fate commitment in sporulation.

This study characterizes the urinary microbiome in 1579 Chinese individuals, identifying host factors and genetic associations that influence microbial composition and urotype classification.

The paper evaluates metagenomic software tools using realistic datasets, highlighting improvements in assembly and taxon profiling while identifying remaining challenges in virus/archaea detection and reproducibility.

This study uses Mendelian randomization to identify causal relationships between gut microbiome composition and blood metabolites in a Chinese cohort.

This study identifies genetic loci associated with the oral microbiome using metagenome-genome-wide association studies in over 1,915 individuals.

This study identifies six new genetic variants associated with major adverse cardiovascular events in ACS patients on dual antiplatelet therapy and develops a predictive classifier for MACE.

This paper performs M-GWAS on a Chinese cohort to identify genetic contributions to the gut microbiome and its associations with complex diseases.

This study identifies HLA-DQA1 as the major independent genetic risk for ACPA-positive RA in Han population through MHC region sequencing and HLA-typing.

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