Xiandong Meng

The paper tracks lineage evolution and transmission of Bacteroides thetaiotaomicron across hosts and ecological scales using genomic barcoding and whole-genome sequencing.

The paper shows that T cells specific for microbiota and diet antigens predominantly become regulatory T cells (iTregs) in the gut, with effector responses emerging only under specific inflammatory and genetic conditions.

This study shows that gut microbial composition affects food allergen-specific CD4+ T cells, leading to differences in food allergy severity between mouse strains.

The paper shows that modifying microbial community composition, specifically overexpressing bile acid metabolic genes in Lactobacillus strains, can alter bile acid pool size and composition in mice.

The paper uses a single-strain dropout screen in a defined microbial community to show how removing specific strains affects community composition and metabolic output.

The paper identifies an antibody response against Staphylococcus epidermidis and shows how it can be engineered for therapeutic vaccination.

The paper investigates how gut microbiota modify steroidal alkaloids from Solanum plants, affecting host exposure and physiological effects.

SpaRC clusters large-scale sequence data using Apache Spark, achieving scalability and performance across transcriptomics and metagenomics datasets.

The paper identifies widespread polycistronic transcripts in mushroom-forming fungi using long-read sequencing and shows short-read assembly is inadequate for isoform discovery.