Pieter Meysman
@chevaliersf
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Professor in biomedical data science at the University of Antwerp. Part-time CTO of ImmuneWatch. Immunoinformatics with a focus on T-cell receptors.
Belgium
Joined March 2011
Registration and abstract submission to #ATCR2025 are now open! Join world-renowned experts to discuss everything #Tcellreceptor related. #immunology @airr_community @biominaBE
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Very excited that today @FWOVlaanderen granted my two #immunology #AI research projects: * One on modelling #Tcells after #vaccination with my good friend Benson Ogunjimi * One on mapping the human #MHC presentation space with the ever talented Wout Bittremieux
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The annual gathering of #Antwerp bioinformatics at the @biominaBE Research Day, kicked off by @KrisLaukens . Always amazing to see the varied #bioinformatics applications, from fish genomics to clinical biomarkers!
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RT @ImmunoSketch: Unlocking the secrets of our immune system is like discovering hidden treasures in a library, where each book holds the k…
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RT @UlrikStervbo: A new paper, led by @kerry_mullan from Pieter Meysman’s (@chevaliersf) group, advocates for a TCR-centric approach to ana…
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We have kept building on the data set, and a larger version including annotations is available on Zenodo as a T-cell atlas.
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This is the first time we have been forced to include an 'Extended Discussion' section in the supplementals because there was just so much that we found. Rather than splitting it over a dozen smaller papers, we opted to put everything into one for a complete story.
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But we also find two other TCRalpha patterns across many individuals that we weren't able to explain. They are clearly enriched compared to the background, but functionally look like any other T-cell (or a mix).
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But we had other plans for the TCR data, so we couldn't use the CoNGA-like tools. So we ended up using a semi-supervised approach on the GEX data that worked very well, and is actually reproducible, which we integrated into STEGO!
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@antigenomics Thanks Mike! You are certainly right, amino acids in direct contact will likely have different rules versus those that just play a structural role. Something that is worth revisiting once more data is available!
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RT @BiologyAIDaily: tcrBLOSUM: An amino acid substitution matrix for sensitive alignment of distant epitope-specific TCRs • The study intr…
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This is by far the most "bioinformatics" paper I have had the pleasure to be involved in. It almost feels like publishing a custom substitution matrix is a rite of passage for #bioinformatics.
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RT @BiologyAIDaily: Revealing the hidden sequence distribution of epitope-specific TCR repertoires and its influence on machine learning mo…
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