Éric Bonnet

scROMA: batch-aware pathway-activity inference and a ground-truth simulation framework for single-cell transcriptomics

scROMA infers pathway activity from single-cell transcriptomics data, accounting for batch effects, and provides a simulation framework for benchmarking.

Hair follicle stem cell fate supports distinct clinical endotypes in Hidradenitis Suppurativa

This study uses single-cell RNA sequencing to identify distinct HF stem cell differentiation trajectories in HS patients, linking them to three clinical endotypes defined by inflammation, keratinization, and mixed features.

Reactive astrocytes promote proteostasis in Huntington disease through the JAK2-STAT3 pathway

This study shows that activating the JAK2-STAT3 pathway in astrocytes reduces mutant Huntingtin aggregates and improves disease outcomes in Huntington's disease models.

Comprehensive analysis of RNA-seq kits for standard, low and ultra-low quantity samples

This study evaluates three RNA-seq library preparation kits for different input quantities and RNA types, showing TruSeq performs best at 100 ng, SMARTer at <1 ng, and SMARTer Ultra-Low for ultra-low inputs.