Bernard Delanghe

High Resolution Multi-Pass Astral Analyzer Quantification Enables Highly Multiplexed 35-Plex Tandem Mass Tag Proteomics

This paper introduces a high-resolution multi-pass Astral analyzer mode for TMT proteomics, enabling 35-plex quantification with improved depth and precision.

Learning the Unseen: Data-Augmented Deep Learning for PTM Discovery with Prosit-PTM

This paper introduces Prosit-PTM, a deep learning model for PTM discovery that improves zero-shot prediction using a synthetic dataset and chemically-informed encoding.

Chemical crosslinking extends and complements UV crosslinking in analysis of RNA/DNA nucleic acid-protein interaction sites by mass spectrometry

The paper introduces chemical crosslinking with mass spectrometry and a new search engine, NuXL, to identify nucleic acid-protein crosslinks at amino acid resolution, enhancing structural analysis.

Challenging the Astral mass analyzer - up to 5300 proteins per single-cell at unseen quantitative accuracy to study cellular heterogeneity.

This paper introduces a high-throughput single-cell proteomics workflow achieving 5300 protein groups per cell with high accuracy, enabling the study of cellular heterogeneity and lineage differentiation.