A5094136540- Advanced Proteomics Techniques and Applications
- Microbial infections and disease research
- vaccines and immunoinformatics approaches
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Mass Spectrometry Techniques and Applications
- Fault Detection and Control Systems
- Machine Learning in Bioinformatics
Université de Strasbourg
2024-2025
Centre National de la Recherche Scientifique
2024-2025
Abstract Human leukocyte antigen (HLA) class I peptide ligands (HLAIps) are key targets for developing vaccines and immunotherapies against infectious pathogens or cancer cells. Identifying HLAIps is challenging due to their high diversity, low abundance, patient individuality. Here, we develop a highly sensitive method identifying using liquid chromatography-ion mobility-tandem mass spectrometry (LC-IMS-MS/MS). In addition, train timsTOF-specific peak intensity MS 2 PIP model tryptic...
The high throughput analysis of proteins with mass spectrometry (MS) is highly valuable for understanding human biology, discovering disease biomarkers, identifying therapeutic targets, and exploring pathogen interactions. To achieve these goals, specialized proteomics subfields, including plasma proteomics, immunopeptidomics, metaproteomics, must tackle specific analytical challenges, such as an increased identification ambiguity compared to routine experiments. Technical advancements in MS...
Abstract The high throughput analysis of proteins with mass spectrometry (MS) is highly valuable for understanding human biology, discovering disease biomarkers, identifying therapeutic targets, and exploring pathogen interactions. To achieve these goals, specialized proteomics subfields – such as plasma proteomics, immunopeptidomics, metaproteomics must tackle specific analytical challenges, an increased identification ambiguity compared to routine experiments. Technical advancements in MS...