Personalized Immunotherapy Research Lab
@pirl_unc
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Multi-PI lab at UNC Chapel Hill working on novel cancer immunotherapies targeting mutant antigens. Tweets by @iskander & @benjamingvincen
Chapel Hill, NC
Joined November 2021
Really fascinating talk by Aude Chapuis showing escape from WT1 specific immune pressure by AML through switching proteasome sub-unit expression
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Jenny Jiang presenting on the sequence diversity of TCRs for conserved SARS-CoV-2 T-cell epitopes at the UNC TCR Discovery Symposium
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Thank you to everyone for your support over the years- I am officially PhDone!!!!
Congratulations to Dr. @KOimmuno on successfully defending her PhD! It’s been wonderful having you as a part of PIRL and we're excited to see what you do next!
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We have taken a deep interest in NUT carcinoma at @pirl_unc and have a few ideas for how it could be treated (eg therapeutic vaccination targeting NUTM1) Looking for a staff molecular biologist (ideally immunologist) to do some of the preclinical work: https://t.co/7JiR1P50fn
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Thrilled to announce that our new paper is out at @BloodAdvances now! Please check out our work on shared minor histocompatibility antigens, including discovery of 24 novel shared mHAs! Done with @BenjaminGVincen and Paul Armistead, with @laraesucheston 🧵 https://t.co/u62xZmpIRF
ashpublications.org
Key Points. We discovered that many predicted GVL mHAss are highly shared among DRPs in DISCOVeRY-BMT.We validated 24 of our predicted novel GVL mHAss that
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Another blog post by @iam_js_lee diving deeper into using Rust to speed up Python bioinformatics code (using some recommendations from @michaellazear and @nomad421 to go 3x faster than our best previous implementation)
Here is an update to my recent blog post. Thanks to @michaellazear and @nomad421, the Rust+Python implementation is now 10x faster than the pure Python equivalent for k-mer counting. https://t.co/y1s5QeSBDb
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New post by Jin Seok (Andy) Lee: Shaking the Rust Off Python https://t.co/8vKQJ3Lec0 He tries to speed up parallel nucleotide kmer counting by moving the inner loop from Python to Rust and finds it surprisingly difficult to get more than 3x faster
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New blog post! "Adventures in mRNA lipid nanoparticle formulation" https://t.co/2dNdkrU2vy
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Blog post by @DhuviKarthikey1: "Defining Immunogenicity for Immunogenicity Prediction" https://t.co/qNUVwbiCnU
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@iskander and @BenjaminGVincen speaking on the vision of @pirl_unc: closing the loop on in-silico therapeutic design, in-vitro validation, and translational trials for #personalizedmedicine #immunotherapy
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Seminar at @UNC_Lineberger by Dr. Chris French about NUT carcinoma, which is an under-studied cancer our lab has recently taken significant interest in.
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Presentation by Dhuvi Karthikeyan @DhuviKarthikey1 on immunogenicity prediction Lots of models based on either antigen sequence and/or structure, unclear if any of them out-perform just peptide-MHC affinity in predicting T-cell responses. #pirlsymposium
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Dan Van Twisk presenting his work comparing different methods for identifying gene fusions
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Dante Bortone presenting a massive reanalysis of different published RNA based predictors of response to checkpoint blockade tl;dr the situation is pretty bad
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Othmane Jadi presenting on mHAs and differences in clinical outcomes for transplant patients mediated by T-cells #pirlsymposium
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