Pierre‐Étienne Jacques

The paper develops a serum-free medium for Mesoplasma florum that reveals nutrient-responsive gene expression programs and metabolic pathways.

The paper examines how genomic variation in Arabidopsis thaliana affects interaction strength with aphids, finding epistasis among defense genes and an oligogenic architecture.

This study evaluates four taxonomic profilers using real metagenomic data to show how tool choice and parameters affect diversity analysis outcomes.

This study constructs a high-resolution placental mQTL resource and investigates how placental DNA methylation relates to early- and later-life traits and their shared vulnerability.

The paper conducts a multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycemic traits, identifying novel loci and highlighting limited pregnancy-specific genetic effects.

This paper develops a miRNA-based gestational age clock (miRClock-GA) using cord blood plasma miRNA data and validates it in an independent cohort, showing associations with birthweight and childhood BMI.

This study identifies growth medium-specific important genes in Escherichia coli using transposon mutagenesis and sequencing, revealing a core set of essential genes and medium-specific gene modules.

The paper uses long-read RNA-seq to create a comprehensive placental transcriptome reference, revealing high transcriptional complexity and identifying novel isoforms associated with metabolic and endocrine functions in gestational diabetes.

The paper develops EpiClass, a machine learning tool that predicts and corrects metadata for over 350,000 epigenomic datasets with high accuracy.

SnoBIRD identifies and refines C/D box snoRNA annotations across eukaryotes by distinguishing expressed snoRNAs from pseudogenes.

The paper links maternal obesity to hypoxia gene expression in term placenta and its association with offspring neurodevelopmental outcomes.

This paper identifies SUB1 as a vulnerability in ALT cancer cells by showing it mitigates telomeric replication stress and that its depletion synergizes with replication stress-inducing therapies.

This study identifies 40 genetic loci associated with placental weight using GWAS in 179,025 children and parents, revealing shared and distinct genetic influences with fetal growth.

The paper identifies miRNA expression quantitative trait loci (miR-QTL) in pregnancy and links them to pregnancy complications using genetic risk scores.

CanDIG enables secure, federated genomic and health data analysis across jurisdictions while maintaining data locality and privacy.

BOFdat generates biomass objective function stoichiometric coefficients from omic data and calculates maintenance costs.