Alexander M. Franks

Principles of protein abundance regulation across single cells in a mammalian tissue

The paper quantifies protein synthesis and clearance across 4,200 cells, revealing that translation and clearance are linearly dependent on growth rate and identifying cell-type specific regulatory mechanisms.

Inferring post-transcriptional regulation within and across cell types in human testis

The paper quantifies proteomes and RNA levels in human testis cells to infer post-transcriptional regulation using a Bayesian model called BayesPG.

An aging clock using metabolomic CSF

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.

DART-ID increases single-cell proteome coverage

DART-ID improves single-cell proteome coverage by aligning retention times and using a Bayesian framework to enhance peptide identification and quantification.

Post-transcriptional regulation across human tissues

This study estimates the contribution of transcript levels to mean-level and across-tissues variability in protein abundance, finding that post-transcriptional regulation significantly influences across-tissues variability.