Martin J. Walsh

The paper analyzes multi-omic, multi-tissue molecular responses to acute exercise in sedentary adults, identifying key pathways and exerkines involved in exercise effects.

The paper identifies shared and distinct biochemical responses to different exercise modes through plasma proteomics, metabolomics, and transcriptomics in sedentary humans.

This study shows that Uhrf1 loss causes DNA methylation loss and chromatin disruption in mouse embryos, leading to developmental failure and altered lineage specification.

This study identifies tissue-specific lncRNA responses to endurance exercise in rats, revealing sex differences and potential therapeutic implications.

The paper identifies tissue-specific transcriptional regulatory programs in rats undergoing endurance exercise training by integrating chromatin accessibility, DNA methylation, and gene expression data.

The paper profiles multi-omic changes in abdominal subcutaneous adipose tissue after acute exercise in sedentary adults, identifying distinct molecular programs and candidate exerkines.

The paper generates a nucleus-resolved transcriptomic atlas of skeletal muscle insulin resistance using single-nucleus transcriptomics and stable isotope-labeled clamps, identifying cell-specific molecular programs and targets.

The paper introduces ME-seq, a technology that profiles DNA methylation, gene expression, and chromatin accessibility in single nuclei, revealing early microglial priming in Alzheimer's disease.

This study compares mitochondrial capacity and related molecular features in skeletal muscle across lean active, obese, and obese-insulin resistant T2D individuals, finding no difference between obese with and without T2D but higher capacity in lean active individuals.

This study maps multi-omic mitochondrial changes across 19 tissues in rats after endurance exercise training, identifying tissue-specific adaptations and disease-related hubs.

This study profiles multi-omic changes in multiple tissues of rats during endurance exercise training, identifying molecular adaptations and sex-specific responses across time.

This study improves zebrafish transcriptome annotation using long-read sequencing, identifying novel transcripts and isoforms, and validating them through computational and experimental methods.