Nick S. Jones

Large-scale single-cell mapping of concealed mitochondrial ageing

The paper maps concealed mitochondrial DNA mutations across 2.7 million cells from 311 individuals, finding that low-prevalence mutations accumulate with age and predict human age.

Cryptic mitochondrial ageing coincides with mid-late life and is pathophysiologically informative in single cells across tissues and species

The paper identifies cryptic mitochondrial DNA mutations in single cells across species and tissues, showing their association with ageing and pathophysiological processes.

Cell competition acts as a purifying selection to eliminate cells with mitochondrial defects during early mouse development

The paper identifies mitochondrial defects in eliminated cells during early mouse development and shows that cell competition removes cells with mitochondrial DNA mutations and sequence changes.

Stochastic survival of the densest and mitochondrial DNA clonal expansion in ageing

This paper presents a spatial model showing that mitochondrial DNA mutations expand through stochastic survival of the densest and noise, not replicative advantage, explaining ageing-related clonal expansion.

catch22: CAnonical Time-series CHaracteristics

The paper introduces catch22, a set of 22 time-series features that balance computational efficiency and classification performance across diverse biomedical and other time-series datasets.

Multiscale simulation of peripheral neural signaling

The paper presents a multiscale simulator for peripheral nerve signaling that integrates biophysical axon models with extracellular space models to predict signal shapes and stimulation thresholds.

Automatic time-series phenotyping using massive feature extraction

This paper introduces hctsa, a tool that automatically extracts interpretable time-series features to relate complex time-series data to scientific outcomes.

Energetic Costs Of Cellular And Therapeutic Control Of Stochastic mtDNA Populations

The paper uses stochastic modeling to analyze the energetic costs of cellular and therapeutic control of mtDNA populations and identifies key factors affecting therapeutic outcomes.