📢 We are announcing the Adaptive Immune Profiling Challenge 2025! Can you predict immune state labels from adaptive immune receptor repertoires? 💰 $10,000 prize pool! 🗓️ Launches tomorrow, Nov 5 on @kaggle! More info:

We’re recruiting a PhD Fellow in Computational Systems Immunology. Work on large-scale immune receptor datasets and develop computational models in close collaboration with experimental labs. Apply here:

Prizes 💸: 1st place: $5,000 2nd place: $3,000 3rd place: $2,000

Key Dates: Registration Deadline: September 12, 2025 (Free to enter) Kick-Off Meeting: September 19, 2025 Bootcamps & Office Hours: September – October 2025 Model & Paper Submission: November 14, 2025 Pitch Polish: December 5, 2025 Finalist Pitch & Awards: December 12 & 15, 2025

including dkNET, T1D Knowledge Portal, nPOD, PANCREATLAS, HIRN, and more. Scientists can: Identify promising targets from provided resources Explore mechanisms, pathways, and new approaches to T1D pathogenesis Pitch their hypothesis to JDRF T1D Fund and a panel of expert judges

What is the D-Challenge? The D-Challenge invites both novice and experienced scientists to mine pre-existing datasets, leverage curated bioinformatics resources, and develop bold new hypotheses for T1D. Participants will have access to high-value resources from leading consortia:

We are excited to share an opportunity for Type 1 diabetes (T1D)–focused researchers and data scientists within your network. D-Challenge 2025, an in silico competition designed to inspire novel hypotheses in T1D research. Learn more & register here: https://t.co/NCtXkiqROt

🚨Looking for a job in immunology and biotech research? IMPRINT is #hiring! Join us to help revolutionize how we decode the body’s immune memory, uncover the causes of chronic diseases, and drive breakthroughs in autoimmunity and neuropsychiatric research. IMPRINT is seeking

We determined an optimal relative accessible surface area (rASA) cutoff of 35% and a contact distance of 4 Å for identifying these key structural gatekeepers—findings that could inform the design of more aggregation-resistant therapeutic antibodies.

Our data reveal that global features like net charge and hydrophobicity don’t fully predict aggregation. Instead, local features—specifically, the presence of surface-exposed aggregation-prone regions (APRs) and nearby structural gatekeeper residues—play a pivotal role.

We analyzed 1,828 antibody light chain variable regions (348 amyloidogenic vs. 1,480 non-amyloidogenic) from AL-Base to uncover what drives amyloid aggregation in these proteins. #Amyloidosis #ProteinFolding

Excited to share our new study, “Investigating Local Sequence-Structural Attributes of Amyloidogenic Light Chain Variable Domains,” now published in Proteins: Structure, Function, and Bioinformatics!

YAbS: The Antibody Society’s Antibody Therapeutics Database 1/ YAbS provides an extensive and dynamic resource tracking over 2,900 antibody therapeutics, including approved, investigational, and in-development antibody candidates, offering a valuable tool for researchers,

YAbS: The Antibody Society's antibody therapeutics database https://t.co/XdT9yBNf2s #biorxiv_scicomm

Our new review on AI/ML applications toward #T1D immunotherapy is out in @DiabetologiaJnl about drug repurposing, precision medicine & more! Thanks to collaborators: @BrownMatthewE @Bruskolab @drdrmark @ResearchCM, funders: @BreakthroughT1D @NIDDKgov @HelmsleyTrust

Extremely pleased to share our new work in collaboration with the @Bruskolab lab where we leveraged one of the largest TCRbeta sequencing datasets to identify T1D-associated TCR-based signatures. Paper link and 🧵 are below. Incredible work led by @puneet021192.

@UFHealth and @UniOslo investigators analyzed #AIRRseq data from 2250 individuals using machine learning (ML) approaches, identifying T cell receptor motif-based biomarkers of #T1D. Click here to read more https://t.co/67zs4jEdLM @HelmsleyTrust @NIAIDNews @puneet021192

@Mel_Shapiro_PhD @leeanadenise @MichaelWidrich @keshav_motwani @milenapavl @KanduriC @giulioisacchini @mchernigovskaia @LonnekeScheffer @motwani_kartik @s_valkiers @JacobsenLM @HallerMichael @agartland @matkinsonT1D @gklambauer @SandveGeir @victorgreiff @Bruskolab 9/9 We thank our generous funders, without whom this project would not have been possible: @HelmsleyTrust, @NIH, @AmDiabetesAssn, @BreakthroughT1D, @HorizonEU, @ireceptor_plus, @forskningsradet, #inno4vac, @ERC_Research, @UniOslo_MED, @DiabetesnPOD and others...

@Mel_Shapiro_PhD @leeanadenise @MichaelWidrich @keshav_motwani @milenapavl @KanduriC @giulioisacchini @mchernigovskaia @LonnekeScheffer @motwani_kartik 8/9 @s_valkiers, @JacobsenLM, @HallerMichael, @agartland, @matkinsonT1D, @gklambauer, @SandveGeir and others. Special thanks to @victorgreiff and @Bruskolab for their steadfast support and vision in propelling this project forward! 🚀✨ Science is truly a team sport!!

7/9 We also extend our gratitude to the incredible team of collaborators who contributed to this giant effort. @Mel_Shapiro_PhD, @leeanadenise, @MichaelWidrich, @keshav_motwani, @milenapavl, @KanduriC, @giulioisacchini, @mchernigovskaia, @LonnekeScheffer, @motwani_kartik…