Michaël Rera

Dynamics of the end-of-life phase explained by the saturating removal model

The paper introduces a saturating removal model to explain end-of-life dynamics across species, showing it accurately captures morbidity patterns and predicts key phenomena in flies, mice, and humans.

Proteome-wide prediction of the Functional Impact of Missense Variants with ProteoCast

ProteoCast predicts the functional impact of missense variants using evolutionary information, achieving high accuracy across the Drosophila proteome.

Acute Smurf mortality and age-dependence in a two-phase ageing model: Statistical inference from drosophila and mice experimental data

The paper develops a two-phase ageing model using Drosophila and mouse data, showing a sharp transition to frailty with high early mortality and age-dependent mortality rates.

ProteoCast: a web server to predict, validate, and interpret missense variant effects

ProteoCast predicts and interprets missense variant effects using evolutionary and structural analysis, achieving high accuracy in pathogenicity prediction and identifying functional motifs in disordered regions.

TELOMERASE DEPLETION ACCELERATES AGEING OF THE ZEBRAFISH BRAIN

This study shows that telomerase deficiency in zebrafish accelerates brain ageing by promoting senescence, inflammation, and blood-brain barrier dysfunction.

Footprints of worldwide adaptation in structured populations of D. melanogaster through the expanded DEST 2.0 genomic resource

The paper uses DEST 2.0 to analyze genetic variation in D. melanogaster across continents and time, identifying adaptation patterns and stable spatial genetic structures.

"Smurf Mice": revolutionising our understanding of age-related and end-of-life animal physiology

This paper validates a two-phase ageing model in mice, showing a phenotypic signature of imminent death across chronological ages.

Alignment-based protein mutational landscape prediction: doing more with less

The paper predicts mutational outcomes for 1.5M missense variants across 72 protein families using alignment-based methods, showing high-quality and compute-efficient results for entire proteomes.

Smurfness-based two-phase model of ageing helps deconvolve the ageing transcriptional signature

The paper introduces a two-phase model of ageing using Smurfness to distinguish chronological age effects from biological age effects in transcriptional data.