Rui Xiao

A multi-center retrospective chart analysis identifying clinical, biochemical, and radiographic signatures of short-chain enoyl-CoA hydratase (ECHS1) deficiency

This study identifies clinical, biochemical, and radiographic features of ECHS1 deficiency through a multi-center retrospective analysis of 113 patients, highlighting differences in onset and outcomes across age groups.

Diverse infections transcriptionally reprogram the intestinal epithelium and epithelial-immune cell interactions

The paper creates a single-cell and spatial transcriptomics atlas of the ileum during diverse infections, revealing novel cell states and immune responses.

idTAG enables programmable and physiologically faithful control of endogenous protein degradation

The paper introduces idTAG, a system for controlled protein degradation that maintains physiological protein levels and allows programmable degradation kinetics.

Characterizing Individual and Population-Level Heterogeneity in Infant BMI Trajectories Using Flexible and Functional Modeling Approaches

The paper models infant BMI trajectories using flexible methods to identify individual and population-level patterns, finding sex differences and associations with maternal gestational diabetes.

Human wastewater contamination drives the emergence of novel multidrug resistant bacteria in the Galapagos marine ecosystem.

This study maps wastewater contamination in the Galapagos and finds increased antimicrobial resistance genes and multidrug-resistant bacteria linked to human activity.

Reconstructing multi-scale tissue spatial architecture from single-cell RNA-seq with REMAP

REMAP reconstructs spatial tissue architecture from scRNA-seq using deep learning and ST references, revealing microenvironmental features and cancer subtypes.

Cognate amino acid therapies provide preclinical benefit in 19 C. elegans models of ARS2 deficiency

This study shows that cognate amino acid treatment improves growth, neuromuscular function, and reduces stress in 19 C. elegans models of mt-ARS deficiency.

Predicting Risk of Transfusion-Induced Red Blood Cell Alloimmunization Using Statistical and Machine Learning Approaches in the Recipient Epidemiology and Donor Evaluation Study (REDS-III) Database

This study builds prediction models for RBC alloimmunization using statistical and machine learning methods on the REDS-III database, finding XGBoost provides the best performance with an AUC-ROC of 0.752.