Marco Cosentino Lagomarsino

The paper quantifies mating strategies in yeast gametes, revealing a reproductive hierarchy where sibling gametes have divergent mating trajectories and temporal heterogeneity shapes compatibility.

The paper identifies a novel mechanism for autopolyploidization in yeast called SEM, demonstrating triploid and tetraploid formation through postmeiotic endoreplication and mating.

The paper characterizes fluorescence measurement capabilities of the Chi.Bio bioreactor platform using calibration standards and shows GFP signals fall below detection limits.

The paper shows that population growth slows sublinearly with density in most species, challenging the resource-depletion model and suggesting other inhibitory processes are at play.

The paper shows that second messengers in E. coli affect gene expression through transcriptional competition, reshaping proteome allocation beyond individual regulatory effects.

The paper shows repeated loss of mating-type switching in yeast led to heterothallism, polyploidy, and increased heterozygosity across diverse environments.

This study uses mathematical modeling to show that optimal cancer treatment involves intermittent dosing with lower drug concentrations and recovery periods, potentially improving efficacy over continuous regimens.

The paper measures mutation rates in microsatellite stable colorectal cancers and finds they vary between tumors and increase during metastasis.

This study identifies two homeostatic mechanisms in mammalian cells that regulate dry mass and volume to maintain a target density during proliferation.

This paper introduces μSeq, a method for accurately quantifying mutation rates using deep sequencing of single clonal expansions, showing it outperforms existing methods in robustness and accuracy.

The paper develops a mechanistic model of bacterial growth that incorporates amino acid pools, ppGpp sensing, and transcriptional regulation, showing oscillatory dynamics during environmental changes.

The paper constructs a quantitative model of biosynthesis to explain how mRNA levels, ribosomes, and RNA polymerase influence cell growth, and validates it against experimental observations in yeast and E. coli.

The paper shows that Fis and H-NS insulation mechanisms and divergent promoters help regulate ribosomal promoter activity in E. coli, allowing gene duplication without local genomic effects.

The paper shows that protein degradation balances ribosome allocation at slow growth, maintaining active ribosomes even as growth rate diminishes.

The paper experiments with Escherichia coli to show that both chromosome replication and a replication-independent process can limit cell division, with balanced contributions in normal cells and shifted odds under perturbation.

The paper introduces Core-Kaiju, a taxonomic classification method for metagenomics that improves accuracy in predicting taxa number and abundance compared to existing methods.

The paper develops a stochastic model to study single-cell growth in rod-shaped bacteria by analyzing the correlation between surface and volume growth rates.

The paper investigates the early expression dynamics of horizontally transferred genes in E. coli, finding that H-NS binding correlates with silencing while some promoters exhibit high noise due to transcriptional interference.

This study identifies PtbHLH1a, a bHLH-PAS protein in Phaeodactylum tricornutum, that regulates light-dependent diurnal rhythms, cell cycle, and gene expression, with conserved homologs across diatom species.

This study compares structural genome dynamics between domesticated and wild yeasts using long-read sequencing, revealing differences in rearrangement rates and types.