Quantitative and large-scale investigation of human TCR-HLA cross-reactivity https://t.co/oZDTXolKdt

I wonder how it works for <pathogen name> <vaccine type> in general.. actually could be checked with reasonable effort

The majority of exploratory T-cell receptor (TCR) repertoire studies search for TCRs enriched in samples and donors under a certain condition/pathology. But what if we swap the background (control) and test samples? Turns out, this trick can help us to identify and characterize

The final version of our "Thrifty" paper is up now: https://t.co/pgoV81pKjp . We were motivated to fit wide-context mutation models based on previous analyses showing "mesoscale" effects and a position-specific effect. But, how to avoid exploding the number of parameters? 🧵

It's the Host, Not Just the Virus: Atomic Lab's New Insights on Flu Vaccination 🧬🔬 Our new study in @JCI_insight "Integrative mapping of pre-existing influenza immune landscapes predicts vaccine response," is out now. We introduce immunaut 👨‍🚀 an #OpenSource #MachineLearning #ML

1/ My first time tweeting preprint since March 2020... Analysis of >600 CAR-T recipients from two 🇺🇸 time zones. Earlier infusions (before 3pm) seem to be better! 😳 ⚠️ Still needs peer review. I don't see breakdown of specific CAR products by ≤2:59p vs ≥3:00p, for instance.

RosettaFold 3 is out!

Molecular mimicry as a driver of T cell-mediated tumour immunity https://t.co/POGgKQv7hq #immunology

Perhaps we can finally evaluate stability of receptor-antigen complexes without spending days of MD simulations?

Our study on immune cell aging across tissue compartments that was part of the CZI @ChanZuckerberg networks for the human cell atlas is out! Longterm collaborations with @psimslab @yoseflab @Teichlab @Cambridge_Uni @ColumbiaMed https://t.co/ODNsiuqgNH

Interact-omics is a high-throughput cytometry-based framework for cellular interaction mapping. @haas_lab https://t.co/RF1XccgUdi

Single-cell, Spatially-Resolved TCR Profiling Links T Cell Phenotype and Clonality in Human Tumors. -honored to have contributed a tiny bit to this innovative work from the twitterless Hudson lab https://t.co/DN3gm3MTfk

New preprint on a surprising question - with a pangenome reference, *what is a genetic variant?* https://t.co/3CivztB04v With Pouria Salehi Nowbandani, Shenghan Zhang, Haoyang Hu, and Heng Li @lh3lh3

I'm excited to share that our latest research, "Sensitive neoantigen discovery by real-time mutanome-guided immunopeptidomics," has just been published in Nature Communications!

Martina's elegant new paper defines an important and under-appreciated role for molecular interactions between CDR loops of the TCR !

Predicting TCR antigen specificity at proteome‑scale with synthetic immune cells and machine learning. I’m pleased to share our group's collaborative effort with Engimmune in this new pre‑print:

De novo identification of the specificities of recurrent human T cell receptors https://t.co/zEBLwkeblD #biorxiv_immuno

Our paper is out: the first genetic treatment response biomarker in MS. A finding only made possible by AIRRseq. This was a truly collaborative effort with @jsabatino37 @hwiendl @AdaptiveBiotech and is a huge step towards personalized medicine.

Our study on human T cell aging across blood, lymphoid and mucosal tissues reveals continuous turnover across sites with longer-lived cells in spleen and tissue resident memory T cells protected from immunosenescence. with Yates lab

🚀 What do Bayesian inference and skydiving have in common? Both demand trust under uncertainty. Our CTO @bvdmitri used RxInfer to clean up noisy pose estimates from his 500th skydive — showing how probabilistic inference fills the gaps where standard ML fails #Bayes #Skydiving