Francis Impens

This study investigates proteome changes in multiple organs of mice with Anorexia Nervosa using a gut microbiota-depleted model, identifying microbiota-dependent and -independent protein alterations.

The paper identifies UFMylation as an antibacterial pathway using proximity biotinylation and mass spectrometry, showing it targets intracellular Shigella and Salmonella.

This study investigates the role of USP8 in B-cell development and multiple myeloma, showing its impact on proteostasis and identifying potential therapeutic strategies.

This study examines autophagy dynamics and selectivity in Arabidopsis roots and shoots under stress, finding stronger autophagy in roots and distinct cargo selection patterns.

The paper uses proteomics to show increased ECM remodeling and complement activation in cardiac ATTR amyloidosis.

This paper introduces a high-throughput and ultrasensitive immunopeptidomics platform that identifies thousands of MHC I and II peptides from low-input samples.

This paper describes a nanobody-based method for targeting diverse Acinetobacter baumannii isolates and related species, demonstrating its effectiveness in capturing bacteria from complex mixtures.

The paper compares DIA and DDA methods for immunopeptidomics, showing DIA improves detection of low-abundant bacterial epitopes from Listeria monocytogenes.

The paper improves IM2Deep to predict collisional cross-sections for peptides with multiple conformations, using a comprehensive dataset and tailored architecture.

The paper improves bacterial epitope discovery by integrating multiple search engines and rescoring, increasing peptide identification by 27% and detecting 18 new bacterial peptides.

This study uses zebrafish models to link genetic mutations in type I collagen to phenotypic severity in OI, identifying biomarkers and mechanisms of variability.

This study harmonizes quality controls across proteomics core facilities to improve data comparability and reliability through a 4-year longitudinal dataset and common processing software.

The paper introduces a dual-column electrospray source for nano-flow proteomics to improve throughput while maintaining sensitivity in low-input samples.

This study integrates proteomics, transcriptomics, and metabolomics data from IEM patients to identify perturbed protein complexes and pathways, highlighting mitochondrial oxidative phosphorylation and histone acetylation dysregulation.

CysQuant quantifies cysteine oxidation and protein abundance using DDA or DIA-MS, revealing redox changes in Arabidopsis exposed to light.

This study benchmarks 12 DIA analysis workflows for shotgun proteomics samples, finding DIA-NN and Spectronaut in library-free mode offer highest sensitivity with good reproducibility and accuracy.

The paper removes the dependency on DDA libraries in DIA by using predicted spectral libraries, making the workflow deterministic and improving standardization in clinical proteomics.

This study shows that Parl deficiency in mice leads to mitochondrial dysfunction, Complex III defects, and Leigh-like syndrome, highlighting its critical role in neurological health.