Same spot, two years apart.??? Exciting to see how far we've come!
关于我们
Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development. Headquartered in Palo Alto, California, Arc is a non-profit organization founded on the belief that many important research programs will be enabled by new academic models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley. As individuals, Arc researchers collaborate across diverse disciplines to study complex diseases, including cancer, neurodegeneration, and immune dysfunction. As an organization, Arc strives to enable long-term research agendas by betting on people rather than projects, and making it easier to invent and deploy new technologies at scale. Together, our mission is to accelerate scientific progress, understand the root causes of disease, and narrow the gap between discoveries and impact on patients.
- 网站
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https://www.arcinstitute.org
Arc Institute的外部链接
- 所属行业
- 生物技术
- 规模
- 51-200 人
- 总部
- Palo Alto,California
- 类型
- 非营利机构
地点
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主要
3181 Porter Dr
US,California,Palo Alto,94304
Arc Institute员工
动态
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Today, we're launching the Arc Virtual Cell Atlas, a growing resource for computation-ready single-cell measurements. As the initial contributions, Vevo Therapeutics has open sourced Tahoe-100M, the world's largest single-cell dataset, mapping 60,000 drug-cell interactions, and we’re announcing scBaseCamp, the first RNA sequencing data repository curated using AI agents. Tahoe-100M includes 100 million cells and measures cellular response across 50 cancer cell lines to 1,200 drug perturbations. It was generated using Vevo’s Mosaic Technology, the first platform to make pan-cancer testing of drugs at single cell resolution scalable, and with support from Parse Biosciences's GigaLab leveraging its single-cell RNA sequencing capabilities. For scBaseCamp, Arc scientists trained AI agents to mine observational data from more than 200 million cells representing 21 different species sourced from public repositories, and processed them to a standardized form. This enables better integration between different types of single-cell data tailored for virtual cell model pretraining. Combined, the release includes data from over 300 million cells. Learn about the Vevo-Arc partnership: https://lnkd.in/gJS9QjYi? Read about Tahoe-100M: https://lnkd.in/gUVdCaQr Read about scBaseCamp: https://lnkd.in/g9_6jvxZ Read about the Arc Virtual Cell Atlas: https://lnkd.in/gp7-XX-Z Visit the Arc Virtual Cell Atlas: https://lnkd.in/g4mC2nBr
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We're excited to announce Arc Institute's search for a Chief Scientific Officer to help advance our mission of accelerating scientific progress on complex human diseases. Arc combines cutting-edge experimental biology with computational methods—from our Evo 2 biological foundation model to unravelling cellular dynamics in Alzheimer's disease. We're looking for a visionary individual to support our experimental technical staff who will partner closely with our CTO and other scientific leaders at Arc to drive our flagship, institute-wide projects forward. Are you energized by ambitious, collaborative research that no single lab could tackle alone? We'd love to connect. Visit https://lnkd.in/eEFq2ZiZ to learn more.
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Introducing Evo 2, the largest AI model for biology to date, enabling machines to read, write, and think in the language of life itself. Trained on 9.3 trillion nucleotides from over 128 thousand archaeal, prokaryotic, and eukaryotic genomes, Evo 2’s deep understanding of biological code means that it can identify patterns in gene sequences across disparate organisms that experimental researchers would need years to uncover. The model can accurately identify disease-causing mutations in human genes and is capable of designing new genomes that are as long as the genomes of simple bacteria. A collaboration between Arc Institute, NVIDIA Healthcare, Stanford University, University of California, Berkeley, and University of California, San Francisco, Evo 2 is fully open source - including training data, code, and model weights. - Read the preprint: https://lnkd.in/eu2bxrpU - See the announcement: https://lnkd.in/esEdyF5G - Try the user-friendly interface Evo Designer to generate DNA by sequence, species, and more: https://lnkd.in/eV6PiyQ2 - Access the code from Arc’s GitHub: https://lnkd.in/e6SErXQ5 - Explore via the NVIDIA BioNeMo framework: https://lnkd.in/efWKEKNN - Use the mechanistic interpretability visualizer to uncover the key biological features and patterns the model learns to recognize in genomic sequences, developed in partnership with Goodfire: https://lnkd.in/eqDZTggf
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Congrats to Isha Jain, Arc Institute Core Investigator and Gladstone Institutes / University of California, San Francisco, Associate Professor and Investigator, for her lab's development of "oxygen in a pill" therapies, reported in Cell by Cell Press. The Jain Lab is using this not just for mitochondrial disorders but a surprising set of complex human diseases (stay tuned!). The Jain Lab is also hiring if you're excited about oxygen or redox cofactor (vitamin) metabolism: https://lnkd.in/exdqPftc
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Congratulations to Maayan Levy, Arc's newest Innovation Investigator in Residence, for receiving The Vilcek Foundation 2025 Prize for Creative Promise in Biomedical Science. We're so happy you joined us! The Levy Lab seeks to understand, develop, and apply the concept of metabotherapy—the usage of metabolites as vehicles and targets to prevent and treat disease. https://lnkd.in/et-gY9Vk
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DNA repair pathways might be important beyond maintaining genome stability. Using a CRISPRi screen, (Becky) Xu Hua Fu in Luke Gilbert's Lab and colleagues found that the Fanconi anemia pathway is also necessary for lysosome function and overall cellular health. This could be important for treating head and neck cancers, which arise in people with Fanconi anemia since cancer chemotherapies that cause DNA damage are extremely toxic for them. Read about the work, now on @biorxivpreprint: https://lnkd.in/eAqfGQCQ.
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We’re still accepting applications for visionary scientists in immunology, neuroscience, or machine learning! Join the Arc Institute as Core Investigator and Stanford Bioengineering as Associate/Full Professor. This position offers comprehensive lab support at Arc, including: - Guaranteed annual funding to support your research program - World-class research facilities in the heart of Palo Alto, CA - Collaborative environment spanning Stanford, UC Berkeley, and UCSF - Freedom to pursue bold, high-impact research directions We are continuing to review new applications on a rolling basis: https://lnkd.in/gHjkVwJm. Apply today!
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This is the first generative protein language model trained on three protein features: sequence, structure, and function. Using GFP as a test case, the model generated a bright functional protein with low sequence homology to known proteins – estimated to be equivalent to a simulation of five hundred million years of evolution. Read the paper in Science: https://lnkd.in/eWdKRdCt Congrats to the Patrick Hsu Lab for being part of this project! Vincent Tran Liam Bartie Matthew Nemeth
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Recent and upcoming PhD and/or MD graduates: Ready to launch your own independent research program? Arc Science Fellows get funding, operational support, and mentorship to lead their own lab. Apply by Jan 15 for full consideration: https://lnkd.in/gPjjk6jB