J. Michaux

TCR-engineered T-cells directed against Ropporin-1 constitute a safe and effective treatment for triple-negative breast cancer in near-clinical models

This study identifies ROPN1 as a target for TCR-engineered T-cells effective against TNBC in preclinical models and demonstrates their safety and efficacy.

KRAB zinc finger proteins ZNF587/ZNF417 protect lymphoma cells from replicative stress-induced inflammation

This study identifies ZNF587 and ZNF417 as pro-oncogenic factors in DLBCL that reduce replicative stress and inflammation, promoting cancer cell survival and immune evasion.

Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes

The paper predicts MHC-II epitope specificities using machine learning, revealing a reverse binding mode in ligands across multiple species.

Extensive genome introgression between domestic ferret and European polecat during population recovery in Great Britain.

The paper quantifies genome introgression between British European polecats and domestic ferrets, identifying genes under selection related to cognitive function and sight.

Bedside formulation of a personalized multi-neoantigen vaccine against mammary carcinoma

This paper develops a personalized multi-neoantigen vaccine using long peptides linked to virus-like particles, showing improved anti-tumor effects in a murine mammary carcinoma model.

Free-living psychrophilic bacteria of the genus Psychrobacter are descendents of pathobionts

This study shows Psychrobacter evolved from warm-adapted pathobionts, with some losing the ability to grow at 37°C and adapting to cold environments.

Mass spectrometry based immunopeptidomics leads to robust predictions of phosphorylated HLA class I ligands

The paper curates phosphorylated HLA-I ligands and develops a predictor for their interaction with HLA-I molecules.

Integrated Proteogenomic Deep Sequencing and Analytics Accurately Identify Non-Canonical Peptides in Tumor Immunopeptidomes

The paper develops an MS-based proteogenomic approach to identify non-canonical HLA peptides in tumors, finding hundreds of shared and tumor-specific peptides, including an immunogenic one from ABCB5.

Deep motif deconvolution of HLA-II peptidomes for robust class II epitope predictions

The paper improves HLA-II epitope prediction by combining mass spectrometry data with a new motif deconvolution algorithm, enhancing motif definition and prediction accuracy.

The length distribution and multiple specificity of naturally presented HLA-I ligands

The paper analyzes HLA-I ligand length distribution and multiple specificity using HLA peptidomics data from human meningioma samples, improving predictions of naturally presented ligands.