Florence Roux‐Dalvai

Mapping virulence-associated protein interaction networks reveals regulators of thermotolerance in Cryptococcus neoformans

The paper maps virulence-associated protein interaction networks in Cryptococcus neoformans to identify regulators of thermotolerance, revealing two novel proteins involved in heat-shock protein interactions.

Extracellular matrix composition is associated with tissue-specific decellularization susceptibility and mechanical remodeling across human urogenital tissues

This study shows that ECM composition determines tissue-specific decellularization outcomes and mechanical properties, advocating for ECM-focused quality assessment in regenerative medicine.

PeptiDIA: A Machine Learning Framework for Enhanced Peptide Identification in Fast-Gradient Data-Independent Acquisition Proteomics

PeptiDIA enhances peptide identification in fast-gradient DIA data using machine learning, improving identification depth by 25-34% in human and murine datasets.

Pairing Data Independent Acquisition and High-Resolution Full Scan for Fast Urinary Tract Infection Diagnosis

This paper presents a method combining DIA MS/MS and MS1-only spectra for rapid UTI pathogen identification, achieving high accuracy in both controlled and clinical samples.

LC-SRM combined with machine learning enables fast identification and quantification of bacterial pathogens in urinary tract infections

This paper develops a method combining LC-SRM and machine learning to rapidly identify and quantify bacterial pathogens in UTIs with high accuracy.

Extensive and accurate benchmarking of DIA acquisition methods and software tools using a complex proteomic standard

The paper benchmarks DIA acquisition methods and software tools using a complex proteomic standard, identifying optimal workflows for LC-MS/MS proteomic analyses.