Kris Gevaert

The paper shows that UBP6 cleavage generates a proteoform that stabilizes NPR1 and enhances plant immunity through the N-degron pathway.

This study shows TRMT10A deficiency causes β-cell dysfunction by promoting tRNA fragmentation and disrupting PCSK1 expression, leading to impaired insulin maturation and glucose-stimulated insulin secretion.

MLMarker computes tissue similarity scores for proteomics data, identifies tissue origins in biofluids, and provides interpretable predictions using a Random Forest model.

DiaReport provides a reproducible workflow for differential expression analysis and interactive reporting in DIA-based proteomics, demonstrating its utility with an extracellular vesicle dataset.

The paper reanalyzes datasets comparing PELSA and LiP-MS, finding that reported differences arise from experimental mismatches and data imputation, cautioning against conclusions of quantitative superiority.

The paper evaluates library-free DIA workflows for LiP-MS and introduces DIA-LiPA, a pipeline that improves structural interpretation of limited proteolysis data.

This study uses amphipols to improve protein detection in exhaled breath condensate but finds high variability and missing data hinder reliable biomarker discovery.

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

This paper introduces a 96-well ultrafiltration method for isolating extracellular vesicles from conditioned medium, improving purity and reproducibility for proteomic analysis.

This study evaluates the Parsortix system's bias in capturing pancreatic cancer cells with different epithelial-mesenchymal transition (EMT) phenotypes, finding lower recovery rates for mesenchymal-like cells.

This study shows that lack of AtMC1 catalytic activity causes autoimmunity in Arabidopsis, which depends on NLR stability and can be reversed by overexpressing SNIPER1.

The paper assesses MS-based identifications of unannotated human microproteins, finding large variation in reported proteins and PSM quality across studies.

This study shows Olduvai domains suppress mitochondrial pathways, delaying cellular maturation and promoting brain size increase in humans.

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

The paper shows that N-terminal acetylation by NatC protects proteins from degradation, enhancing longevity and motility, and that UBR4-KCMF1 targets unacetylated N-terminal Met followed by hydrophobic residues.

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

The paper investigates N-terminal proteoforms and finds they can engage in different protein complexes compared to their canonical counterparts.

The paper investigates how different GR ligands affect coregulator recruitment, finding that antagonists and selective modulators reduce interactions with p300/CBP and the Mediator complex compared to full agonists.

A machine learning model trained on proteomics data from 183 human datasets identifies tissue and cell-type specific proteins with high accuracy.

The paper investigates non-coding transcript translation in HEK293T cells, finding limited but potentially functional translation products using ribosome profiling and mass spectrometry.

The paper introduces a hurdle model to address missing values in proteomics by combining binomial count and intensity-based components, showing improved performance over existing methods.

The paper introduces the Plant PTM Viewer, a database integrating over 200,000 PTM sites across five plant species to explore protein modifications and their functional implications.

The paper identifies FLIP as a novel partner of FIGL1 that forms a conserved complex regulating meiotic homologous recombination in Arabidopsis and humans.

The study identifies a cell width checkpoint in pericycle cells that regulates asymmetric divisions during lateral root formation in plants.

The paper identifies novel substrates of separase in Arabidopsis by analyzing proteolytic changes in wild-type and separase mutant root tip cells, revealing roles in pH homeostasis, lipid signaling, and proteolytic network interactions.