Daniel Promislow

This paper introduces an interpretable machine learning framework to infer dog breeds from genomic data, achieving high accuracy and identifying key genetic variants.

The paper analyzes the canine gut microbiome across 900 dogs to identify factors influencing microbiome composition and develops a metagenomics-based aging clock.

This study identifies blood biomarkers and genetic factors associated with aging in dogs using genomic and phenotypic data from 7,627 dogs.

The paper identifies shared plasma metabolomic biomarkers of mortality in dogs and humans, showing strong correlations between metabolite effects on all-cause mortality in both species.

This study shows that rapamycin affects germline stem cell quiescence differently across genetic backgrounds in Drosophila, with mitophagy playing a key role in quiescence persistence.

The paper identifies post-translationally modified amino acids (ptmAAs) as age-related plasma metabolites in dogs, linking them to kidney function and dietary factors.

The paper develops two novel spatial memory tests for dogs and finds age-related cognitive decline is consistent across body sizes, suggesting no moderation by body mass.

This paper constructs the first comorbidity networks in companion dogs using data from the Dog Aging Project, revealing both well-known and novel disease associations and their temporal relationships.

The paper investigates how knocking out the doublesex gene in Drosophila affects metabolomic differences between sexes, finding that dsx significantly influences sex-specific metabolites across tissues.

The paper investigates the functional specialization of SAM synthases in C. elegans, showing that SAMS-1 affects mitochondrial function and stress survival through phosphatidylcholine, while SAMS-4 is critical for methylation reactions.

This study identifies glutathione deficiency as a key factor in age-related dopamine neuron loss and links it to lifespan in Drosophila, with implications for human Parkinson's disease.

The paper analyzes DNA methylation in dogs to identify age-related patterns, finding that LINE1 transposons show hypomethylation with age, varying by breed size and sex.

The paper develops an epigenetic clock for dogs using DNA methylation data to show that larger breeds age faster and have higher mortality risk.

The paper investigates how cell-specific turnover rates influence transcriptome aging across organs and develops a model to explain differential aging rates.

The paper investigates how knocking out nuclear-encoded mitochondrial genes in yeast affects lifespan, revealing shared mechanisms involving ribosomal proteins, actin dynamics, and proteasome function.

The paper identifies a core cellular network in fly brains using co-expression analysis across cell types and validates it in additional datasets.

The paper analyzes lifespan variation in wild yeast isolates to identify genetic and environmental factors shaping replicative lifespan and cellular processes involved in aging.

This study shows that dietary choice affects metabolic network integrity in aging Drosophila through serotonin signaling, altering network structure and organism resilience.

This paper develops a metabolomic age prediction model using CSF data from healthy humans and applies it to Alzheimer's and Parkinson's patients, finding increased prediction error in disease cohorts.

This study shows that calorie restriction in mice increases microbial diversity and prevents age-related microbiome changes, maintaining a younger microbial and metabolite profile.

This study shows that nutrient choice affects aging in Drosophila through serotonin 2A receptor signaling and metabolic reprogramming.

The paper identifies genetic mechanisms underlying diet-dependent lifespan and healthspan in D. melanogaster using GWAS and validates gene effects on lifespan and climbing ability.

This study shows cross-sectional aging biomarker studies are biased toward non-causal factors, but this bias can be corrected using mortality correlates from longitudinal studies.