Associate Professor, NYU Department of Pathology & a kayaker fishing for cancer immunotherapy targets. Opinions are my own.

New York, NY
Thrilled to see our FGL1/TACI paper came out right after the first FDA approval of Atacicept, the first TACI-targeted autoimmune therapy. This study originated from my discovery of this interaction more than 15 yrs ago but finally we made it!!
Online now: The liver-secreted protein FGL1 restrains a subset of innate-like B cell responses via the receptor TACI dlvr.it/TTn4Lx
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Now both TACI and LAG-3 has targeted immunotherapies approved by FDA—-looking forwards to the expansion of this field and more applications in human diseases!
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These data collectively establish FGL1/TACI as the negative regulator for the BAFF/APRIL/TACI “druggable universe”, and adding new B cell regulatory function of FGL1 beyond our early discovery of the FGL1/LAG-3 for T cell regulation.
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Therefore, FGL1 does not compete with BAFF/APRIL binding but instead, negatively regulate TACI function through receptor endocytosis.
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In this study we found FGL1 as the third (and the only inhibitory) ligand for TACI. We decoded the mysterious TACI N terminal 1-30 peptide as the unique FGL1 binding site which is totally different from the canonical BAFF/APRIL binding regions.
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Huge appreciation to Lieping @YaleIBIO and Pascal Schneider @unil, and in particular @tina_t_su, who made tremendous contributions to this work. The TACI field was too cold during these years but resilience can made magic happen!
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Jun Wang retweeted
Online now: The liver-secreted protein FGL1 restrains a subset of innate-like B cell responses via the receptor TACI dlvr.it/TTn4Lx
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My honor to host Ting Zhou from Westlake U. , my close friend and colleague while at Yale. I encouraged him to switch from structure to the immuno-oncology field. Look at him now…he is doing so well and even more immunology than me :)
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My great pleasure to host Dr. Dario Vignali visiting NYU to present exciting data on LAG-3 immunotherapy and mechanisms with PD-1 combination.
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My great pleasure to join the IV ASPIC-ASEICA @ASEICAnews conference to discuss our efforts in novel immunotherapies. See you at Santiago de compostela Spain in Nov.!
🛑LAST CALL! ⚠️Abstracts Submission: 17 SEPT  4th ASEICA ASPIC International Meeting 📢Keynote🗣️Dr. Jun Wang (@jwang133) @nyugrossman 🏙️S. de Compostela 📅20-21 NOV ✅Early Bird: 6 OCT You may join ASEICA or @ASPICancro before registration 📘aseica.es/iv-aspic-aseica-in…
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Super exciting talk from @geochurch @BioSpark_Group
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It’s been six years! The journey has not been easy. Excited to see BioSpark is getting quite influential! Together, let’s Spark Biomedicine! @BioSpark_Group 2nd annual conference @MIT
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Nice review from Ivan for innate and IFN lovers!
#InterferonPower! Thrilled for our latest work @CellCellPress! With @dfrboehmer, we dug into tons of papers & created what we hope will be a go-to resource for immunologists & non-immunologist about type I, II, III (& IV😉) #interferons! Free link 👉 authors.elsevier.com/a/1leKG…
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Check this out for all interferon lovers! An authoritative review on interferon biology by @Lo_Zanzi!
#InterferonPower! Thrilled for our latest work @CellCellPress! With @dfrboehmer, we dug into tons of papers & created what we hope will be a go-to resource for immunologists & non-immunologist about type I, II, III (& IV😉) #interferons! Free link 👉 authors.elsevier.com/a/1leKG…
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Anti-Siglec-15 Therapy Improves Bone Health in Osteogenesis Imperfecta Mice clinicaltrialvanguard.com/ne…
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RT @Cathy7852375132: $NXTC: NC605 (anti-Siglec‑15 antibody) preclinical data released: NA605 significantly improved bone density, bone tiss…
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🧬 BREAKING: Our CRISPR-GPT paper is out TODAY in Nature Biomedical Engineering @natBME ! 🤯 We built an AI agent that turns ANYONE into a gene-editing expert in 1 DAY instead of months. An undergrad with ZERO experience achieved 90%+ editing efficiency on their FIRST attempt. 🧵 Here's how we're building expert AI agents for cutting-edge biotechnology: 🎯 The Problem: CRISPR is revolutionary but requires PhD-level expertise, it can take weeks to learn, adopt, and design, analyze a CRISPR experiment for R&D or making life-saving medicine. Even Pro scientists can make small mistakes (e.g. typos in guideRNA or cloning design) that cost months to find out, slowing us down. 💡 Our Solution: CRISPR-GPT - an AI co-pilot from @Stanford @Princeton @GoogleDeepMind that guides you through EVERY step via simple conversation 🔬 Real Results: -Novice researcher: ~90% editing on 1st go -Training time: Months → 1 day -100% success rate in our trials -Even experts save days/weeks on data analysis & troubleshooting 🤖 How it works: Our multi-agent system handles: CRISPR system and delivery method selection, guideRNA design, Protocol generation, Real-time troubleshooting, Data analysis, and beyond. All through natural language! No coding, no complex software. 📊 We benchmarked it extensively: -288 evaluation scenarios/cases -Outperformed GPT-4o on ALL gene editing tasks -Trained on 11 years of expert discussions -Covers knockout, base-editing, prime-editing & epigenetic editing 🌍 Why this matters: -Every lab can now use CRISPR with an AI system distilling expert knowledge and skills. -Every student can learn faster. -Every researcher can tackle bigger challenges without worrying about small mistakes. -Customized CRISPR design can be automated based on your need and the context of R&D workflow. -Agentic AI ensure safety, privacy, and responsibility -We're not just automating gene editing - we're using AI to power scientists to cure diseases. 🚀 Try it yourself! Beta access available at: genomics.stanford.edu Paper: nature.com/articles/s41551-0… Code: github.com/cong-lab/crispr-g… Benchmark (companion work, Genome-bench): github.com/mingyin0312/RL4Ge… Co-first and key authors: @YuanhaoQ @KaixuanHuang1 @MingYin_0312 PIs: @lecong @MengdiWang10 Key collaborators: @Rbaltman @denny_zhou The future of biology and science is conversational. The future is now. @natBME @NaturePortfolio #CRISPR #AI #GeneEditing #Biotech #Science #AISafety
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LAG-3 (lymphocyte-activation gene 3) is a signal/checkpoint found on the surface of T cells - the immune system’s frontline fighters. Learn more about LAG-3, the 3rd immune checkpoint to be clinically validated in melanoma, including emerging therapies & ongoing #clinicaltrials.
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CINTER-seq enables in situ capture and multimodal profiling of interacting cells in living mice, uncovering specific LAG3-MHC II-mediated CD4+ T cell-cancer cell interactions & tumor-reprogrammed neutrophils cell.com/immunity/fulltext/S… @ImmunityCP
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New #JITC review: Therapeutic potential of targeting LAG-3 in cancer bit.ly/4nHQO2h @diwakardavar @UPMCHillmanCC
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