Teng Fei

The paper links sugar-rich foods to microbiome disruption during antibiotic treatment in patients and mice.

This study shows that higher dietary fiber intake improves survival and reduces GVHD in hematopoietic cell transplant patients, with microbiome-mediated effects.

This study compares the effects of two GVHD prophylaxis regimens on the gut microbiome in allo-HCT recipients and finds that while PTCy reduces microbiome diversity and bile acid metabolism, it is linked to better clinical outcomes.

This study identifies an epigenetically distinct HSC subset, Kitlo, that supports better thymic and T-cell reconstitution in mice and humans.

The paper introduces FLORAL, a method for analyzing longitudinal microbiome data to identify biomarkers associated with time-varying outcomes, showing improved sensitivity and FDR control in simulations and real-world applications.

fast-scBatch corrects batch effects in scRNA-seq data using a neural network-driven approach, outperforming existing methods in simulation and real datasets.

FLORAL improves microbial feature selection for microbiome data by addressing survival endpoints, longitudinal samples, and sequencing biases, showing better false-positive control and sensitivity in simulations and real data.

This study shows that pentanoate, a microbial postbiotic, is metabolized to citrate, which influences T cell differentiation and anti-cancer CAR T cell efficacy through epigenetic mechanisms.

This paper introduces a leucine zipper-based sorting system to generate T cells with multiple CARs and switch receptors, enhancing their ability to target heterogeneous tumors.

This study maps the molecular lineage of chordate embryogenesis using single-cell transcriptomics in Ciona savignyi, identifying 47 cell types and revealing fate determination mechanisms.

scBatch corrects RNA-seq batch effects by adjusting the sample distance matrix, improving clustering and differential expression results compared to existing methods.