Tom S. Smith

This study shows that mTOR signalling, not clock gene rhythms, drives daily physiological variations in mammals and plants.

The paper investigates the morphogenetic events during early foregut development in the mouse embryo, revealing a coordinated geometric process involving apoptosis and BMP2 signaling.

The paper introduces SANDLE, a method for analyzing subcellular omics data that reduces false positives and analysis time while handling complex experimental designs.

This study investigates the off-target antibacterial effects of 1076 industrial and agricultural chemicals on 22 human gut bacteria, revealing 588 previously unreported interactions.

This paper combines cryo-EM and FIB-SIMS to map sub-cellular chemical distributions in bacteria, revealing pollutant storage in phase-separated aggregates.

The paper benchmarks tRNA-Seq quantification methods using simulated data, identifying two novel approaches with higher accuracy than existing methods.

The paper shows that parts of the TCA cycle operate in the nucleus, challenging the canonical view of metabolic compartmentalization.

The paper evaluates the impact of prior Orbitrap software versions on low isobaric mass tag intensities and finds minimal detrimental effects on differential abundance experiments.

CGAT-core is a Python framework for building scalable, reproducible computational biology workflows, demonstrated with an RNAseq analysis pipeline.

Alevin improves gene abundance estimation in droplet-based single-cell RNA sequencing by accurately handling UMI deduplication for both gene-unique and gene-ambiguous reads.

The paper introduces LOPIT-DC, a simplified spatial proteomics method, and compares it with hyperLOPIT, highlighting suborganellar resolution and isoform-specific niches in human cells.