Audrey Le Gouëllec

This paper introduces a semi-quantitative HPLC-MS/MS method for detecting isoprenoid quinones in wastewater sludges, identifying 57 quinones across treatment stages.

This paper develops growth-coupled metabolic biosensors for disease detection and prognosis using COVID-19 as a proof-of-concept, achieving high diagnostic and prognostic accuracy.

This paper demonstrates using E. coli as a living reservoir computer to classify COVID-19 plasma samples and perform nonlinear computations through growth responses.

This study examines virus-virus interactions among IAV, SARS-CoV-2, and RSV in a human airway epithelium model, revealing dynamic, asymmetric effects influenced by infection order and host responses.

The paper develops a combined untargeted and semi-targeted metabolomics approach to profile small intestinal and fecal metabolomes, revealing distinct metabolomes and potential new bile acids.

This paper introduces a mass spectrometry filtering tree to distinguish bile acid isomers in LC-MS/MS data and identifies a novel deoxycholyl-2-aminophenol amidate linked to whole grain consumption.

The paper introduces Ion Identity Molecular Networking to connect ion species of the same molecule, improving network connectivity and annotation.

The paper introduces FBMN, a method for improving molecular networking by enhancing quantitative analysis and isomer distinction using feature detection and alignment tools in the GNPS platform.

The paper develops ReDU, a tool for discovering and re-analyzing metabolomics data in GNPS, following FAIR principles.