Work published today in @natbiotech.nature.com from Arc’s Luke Gilbert and Patrick Hsu labs presents a new way to insert large DNA sequences into the genome using engineered recombinases that don’t require DNA cutting or rely on the cell's repair machinery.

A study out today in @natgenet.nature.com from Core Investigator Luke Gilbert, Haolong Li, & others identifies PTGES3 as a critical regulator of androgen receptor (AR) protein levels in prostate cancer, revealing a potential new target for tumors that become treatment-resistant.

Welcome to our 9th Core Investigator and first physician-scientist, John Pluvinage. His team investigates the hidden overlap between autoimmunity and neurodegeneration, developing targeted treatments for mysterious neurological cases and common dementias.

The genetic code is full of synonymous codons that, for decades, were assumed to be interchangeable. Today, with NVIDIA, co-led by @genophoria.bsky.social, we announce CodonFM, a family of open-source AI models that reveal the grammar underlying codon choice: developer.nvidia.com/blog/introdu...

Arc Core Investigator @genophoria.bsky.social will speak on a free, online panel with @tkaraletsos.bsky.social, @emmalundberg.bsky.social, and @ronalfa.bsky.social on Wed., Oct. 29, as part of GENbio's “The State of AI in Drug Discovery in 2025.” Register at: webinars.liebertpub.com/e/the-state-...

Published today in @natureportfolio.nature.com Biotechnology, Laine Goudy, Luke Gilbert, Alex Marson, & colleagues report an epigenetic editing platform that safely reprograms multiple genes in human T cells without many of the challenges & risks associated with traditional gene editing approaches.

Arc is looking for an outstanding early-career scientist to be our next Science Fellow. This program provides resources and freedom for those looking to transition into a principal investigator role immediately after doctoral training. Apply here: arcinstitute.org/programs/sea...

Hear how Arc, Ultima Genomics, and @10xgenomics.bsky.social are partnering to generate perturbation data at the scale needed to train virtual cell models on The Bio Report podcast with guests @genophoria.bsky.social, Gilad Almogy, and Serge Saxonov: thebioreport.podbean.com/e/transformi...

Arc's community continues to grow this fall with our 9th Core Investigator John Pluvinage and 3rd Science Fellow @mayaarce.bsky.social joining us in Palo Alto, along with 7 Innovation Investigators and 15 Ignite Awardees at our partner universities. Learn more: arcinstitute.org/news/faculty...

For decades, human genome editing has been limited to small, localized modifications. Today, in a new paper published in @science.org , researchers from Arc's Hsu lab show that bridge recombinase technology is capable of large-scale genomic rearrangements in human cells.

New work from Arc's @pauldatlinger.bsky.social of our Genome Engineering Technology Center. Congrats!

Having often dealt with the frustration of binder-limited projects, we sought a more accessible source for nanobodies than yeast display or llama. Here we introduce Germinal, computationally designing antibody-like binders with such a hit rate that only tens need to be screened for each target.

In another preprint from the @brianhie.bsky.social Lab and @synbiogaolab.bsky.social, they introduce Germinal, a generative AI system for de novo antibody design. Germinal produces functional nanobodies in just dozens of tests, making custom antibody design more accessible than ever before.

Arc Innovation Investigator research highlight: Stanford Professor Zhenan Bao and colleagues have developed NeuroString, a hair-thin multichannel biosensor and stimulator with promising potential applications in drug delivery, nerve stimulation, smart fabrics, and more.

Genome foundation models, Evo 1 and Evo 2, have now generated viable bacteriophage genomes, demonstrating experimental validation of whole genomes designed by AI! @arcinstitute.org @brianhie.bsky.social @samuelhking.bsky.social Read more at GEN: www.genengnews.com/topics/artif...

In a new preprint from @brianhie.bsky.social's lab, the team reports the first generative design of viable bacteriophage genomes. Leveraging Evo 1 & Evo 2, they generated whole genome sequences, resulting in 16 viable phages with distinct genomic architectures.

🧠 Arc Workshop at the upcoming scverse conference 2025 🧠 Processing and Modeling Large-Scale Single-Cell Perturbation Data with Machine Learning 🧵 @arcinstitute.org #scverse2025 #PerturbSeq #MachineLearning #SingleCell #CRISPR #GenomicScreening #VirtualCells

Welcome to our third Science Fellow, Maya Arce (@mayaarce.bsky.social). Her team uses large-scale genomic screening and CRISPR editing to decode how genetic regulators control immune cell behavior.

In this blog post from Arc scientists, learn about some of the decisions that went into the dataset and three-metric evaluation framework developed for the first Virtual Cell Challenge. arcinstitute.org/news/behind-...

Over 2,500 people have registered for the Virtual Cell Challenge and we're nearly three months away from when final submissions are due. We created a notebook tutorial showing how to train Arc's STATE model for context generalization for anyone looking to get started: www.youtube.com/watch?v=1kKH...

Our latest Forum podcast is a roundtable on foundation models, featuring guests Marie Lopez, @instadeep.bsky.social head of genomics AI and @brianhie.bsky.social of @stanford.edu and @arcinstitute.org shows.acast.com/forum/episod...

Over 2,000 people have registered for the Virtual Cell Challenge to create an AI model that can generalize for unseen perturbations. Hundreds of competitors have been submitting results from their models and the race, as you can see from the leaderboard, is heating up:

Our 2nd Investigator Retreat wrapped up with talks from Core Investigators Christoph Thaiss and Felix Horns, our incoming Science Fellow Maya Arce, and some of our Innovation Investigators and Ignite Awardees. We look forward to seeing how the connections made this week turn into new collaborations.

The Arc Institute Investigator Retreat is off to a great start! Huge thanks to Dave Burke and @brianhie.bsky.social for for sharing their computational research, and to Isha Jain, Will Allen, Faranak Fattahi, and Alex Pollen for diving into cell biology and neuroscience.

Core Investigator @lingyinli.bsky.social's new paper in Nature Chemical Biology investigates why human STING inhibitors have shown limited efficacy, despite strong activity in mouse models.

Welcome Isha Jain, Arc's eighth Core Investigator! Jain has spent more than a decade studying how the human body senses, and responds to, external molecules—especially oxygen and vitamins.

@arcinstitute.org‬ has announced the inaugural “Virtual Cell Challenge,” sponsored by NVIDIA, @10xgenomics.bsky.social and Ultima Genomics, which will evaluate the ability of AI models to generalize to new cell contexts for therapeutic applications. 1/ www.genengnews.com/topics/artif...

Register today for the Virtual Cell Challenge and use AI to solve one of biology’s most complex problems. Announced in @cellcellpress.bsky.social, the competition is hosted by Arc Institute and sponsored by NVIDIA, @10xgenomics.bsky.social and Ultima Genomics.

Introducing Arc Institute’s first virtual cell model: STATE

“Every failure teaches us something.” Arc's Core Investigator @lingyinli.bsky.social on the path to STING activation, cGAMP, and what it means for the future of cancer treatment. news.stanford.edu/stories/2025...

Been going back and forth on whether it makes sense to post science in the midst of all that is happening. But here it goes with a couple of days of delay: www.biorxiv.org/content/10.1...

@arcinstitute.org is redefining how biomedical research is conducted. Looking to harness body-brain communication to counteract human disease, our lab is exploring new approaches through shared tools & collaboration. Read more in our Q&A: arcinstitute.org/news/news/ch...

🎧 Go behind the scenes of biotech's exciting Virtual Cell Atlas partnership! Hear our CEO Serge Saxonov, @arcinstitute.org's Patrick Hsu & Ultima Genomics' Gilad Almogy discuss combining #AI with GEM-X Flex #scRNAseq, optimized for large projects, to transform drug discovery. Listen now!

Genomes encode biological complexity, which is determined by combinations of DNA mutations across millions of bases In new work @arcinstitute.org, we report the discovery and engineering of the first programmable DNA recombinases capable of megabase-scale human genome rearrangement

“I think you’d be shocked how often people are willing to chat and help you out.” Inspired by my recent sit-down with @ucberkeleyofficial.bsky.social's Alishba Imran, now a Research Fellow with the @arcinstitute.org, on how she broke into AI for Science. Full episode linked in thread! 🧵

This was a fun one — new Endpoints Slack interview with @pdhsu.bsky.social : endpts.com/endpoints-sl...

Check out our latest preprint, led by Dr. Siyu Chen, that brings together an amazing team of scientists from several labs ( @vram142.bsky.social, Tavazoie, and Navickas) to tackle a fundamental problem in biology: how do cells regulate expression of their tRNAs? www.biorxiv.org/content/10.1...

When high-quality #scRNAseq meets #AI, breakthroughs follow. We’re excited to partner with @arcinstitute.org & Ultima Genomics to grow the Arc Virtual Cell Atlas, an open resource with data from chemical or genetic perturbations, to allow rapid therapeutic target discovery. Read more: bit.ly/42vAd9s

Today, we're announcing new partnerships with @10xgenomics.bsky.social and Ultima Genomics to accelerate development of the Arc Virtual Cell Atlas. (1/6)

I'm excited to release what I've been cooking up the past few months at @arcinstitute.org BINSEQ is a family of binary file formats for sequencing data built with paired records and parallel processing in mind with big performance gains (2x-40x) over gzip-fastq with similar storage

1/ In this clip, Evo 2 co-author Patrick Hsu discusses how the multimodel, multiscale biological foundation model makes computational predictions of genetic variant effects, using BRCA1 as an example.

New preprint: The first whole-body map of both DNA methylation and 3D genome organization at single-cell resolution across 16 human tissues, with in-depth analyses of cell type diversity of these epigenome modalities at unprecedented resolutions. (1/5)

Innovation Investigator Awards at Arc Institute Faculty at Stanford, UC Berkeley, and UCSF: Apply by 3/15 to receive $1M in unrestricted funding over 5 years to pursue your boldest ideas in immunology, neurobiology, or machine learning. Join our community of researchers: shorturl.at/p56KG

Same spot, two years apart. 🧬 Exciting to see how far we've come!

@thejohnnyyu.bsky.social, @therealnima.bsky.social, and I, are excited to tell you about Tahoe-100M! The largest publicly available single-cell dataset that measures the effect of 1200 genes on 50 cell line models. The Vevo team has outdone itself. #Tahoe100M www.biorxiv.org/content/10.1...

At the @arcinstitute.org we are building AI models of cell state from the ground up, rethinking every step, from data generation to biologically relevant evaluation Today we launch scBaseCamp, the largest public repository of single cell RNAseq data, uniformly processed from raw sequencing reads.

Today, we're launching the Arc Virtual Cell Atlas, a growing resource for computation-ready single-cell measurements. arc-website-git-ben-virtual-cell-atlas-tool-arc-institute.vercel.app/news/news/ar...

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. Are you energized by ambitious, collaborative research that no single lab could tackle alone? Visit www.gem.com/lp/arcinstit...

The capabilities of the large language of life models (LLLMs) are rapidly proliferating! nature.com/articles/d41... @nature.com arcinstitute.org/manuscripts/... @arcinstitute.org science.org/doi/10.1126/... @science.org

AI provides a universal framework that leverages data and compute at scale to uncover higher-order patterns Today, @arcinstitute.org in collaboration with Nvidia releases Evo 2—a fully open source biological foundation model trained on genomes spanning the entire tree of life.