We've also recently published on the clinical and immunological impacts of a novel CTLA4 mutation in a large kindred. Led by @jimmy_maiarana, our multi-talented R38 resident https://t.co/wZMU6RFUK5
Thrilled to be defending my dissertation next week to be receiving my PhD from @VUmedicine! It's been a great 5 years in the @IhrieLab and @VandyPharm and I'm excited to share some of my work with the community. 🧪🧠🐭 Zoom link available if you're interested. @BiomedVandy
🎉Exciting Update of scGPT 🎉: After receiving significant attention from the community since our April release, we're thrilled to announce the first major update for scGPT - a foundation model for single-cell multi-omic data.
This update integrates community feedback and leverages the latest data release from @cellxgene. It boasts larger pretraining data, and more robust models, and expands the range of application tasks.
Pre-print (V2) available: https://t.co/4aB2c4ZgJy
Access our open-source code and models here: https://t.co/13n0bJvgT2
Detailed tutorials: https://t.co/enNqXqXkdY
Highlights of this update include:
🔬 Introducing the first GPT-style foundation model for single-cell multi-omic data, pretrained on over 33M human cell atlas data.
💡 Our generalist approach enables one model to accomplish multiple tasks in single-cell analysis, including multi-omic integrative analysis and perturbation prediction.
🧬 Discovering gene-gene interactions specific to various conditions using learned attention weights and gene embeddings.
🚀 Uncovered a scaling law showcasing continuous model performance enhancement as data volume increases.
🐾 scGPT model zoo (see github) now offers multiple pre-trained foundation models for various solid organs and a comprehensive pan-cancer model. Begin exploring your data with the most fitting foundation model.
We welcome your thoughts on specialist vs generalist approaches in single-cell studies. Many thanks for the following technical analyses of scGPT:
1. Excellent twittorial by @simocristea: https://t.co/ICq3V78oxG
2. Comprehensive review on LLM in cell biology by @s_batzoglou: https://t.co/xtl5WCXijC
3. Insightful blog by @SalvatoreRaieli: https://t.co/7v8PRv9NNc
Kudos to Haotian (@HAOTIANCUI1) & Chloe (@chloexwang1) for their exemplary work on this project. @VectorInst@pmcc_ai@UHNAIHUB@bradwouters@drbarryrubin@UofT_TCAIREM@UofT_LMP@UofTCompSci@uoftmedicine
.@DionysiosWatson and @d_bayik, researchers and co-first authors of a groundbreaking, preclinical study, identified how #glioblastoma cells obtain fuel to become aggressive and new ideas on how to target the deadly #BrainCancer. Learn more: https://t.co/f8AMXJ3uVZ
Register for the free SITC-@theNCI Comp IO 2023 webinar series. Led by experts in the field, this 8 webinar series will help individual research labs embrace the computational challenges of analyzing and integrating diverse data across the spectrum of IO. https://t.co/9QYXZ3d1v8
🔬 Nice publication from the @IhrieLab @scbiolab lab "Learning cell identity in immunology, neuroscience, and cancer." https://t.co/bH8PnqOGXd
@VUBasicSciences
Interested in how metabolism of immune cells within the TME can drive tumor progression? Check out our new review in @Cancer_Cell! @JeffRathmell https://t.co/ZIyjhyipJD
Excited to share my work in the
@IhrieLab detailing a new potential regulatory mechanism of the quiescence entry that preserves neural stem cells in the embryo for the adult brain. @VUBasicSciences
Hot off the presses! Our mxIHC analysis pipeline. Great teamwork including @IhrieLab @jonathanirish@christine_lovly@coussens_lisa Alignment, segmentation and neighborhood analysis in cyclic immunohistochemistry data using CASSATT https://t.co/GGNZL9X5r2
Great work by Andrew Patterson to show IEI & IEM share more than previously known--a CRISPR resource for new immunometabolic genes
Functional Overlap of Inborn Errors of Immunity and Metabolism Genes Define T Cell Immunometabolic Vulnerabilities https://t.co/7EdsoOOkfO
Our lab is hiring! We are looking for a Research Assistant interested in studying how obesity reprograms the immune system and leads to inflammatory diseases. Please apply to join the fantastic @VUMC_VCI research community! ⬇️
https://t.co/1dNLyO33lu or DM
So excited to share our work out in @NatImmunol !!! We analyzed antigen-specific CD8 T cells differentiating down effector/memory vs exhaustion (Exh) lineages using scRNAseq/scATACseq. Major findings 👇
@EJohnWherry@PennMedicine
https://t.co/ufRymESObz