Stories about Arc’s research, people, and initiatives

Programmable biology has arrived in a few different ways, each time defined by a new type of RNA-guided mechanism: RNA interference, then CRISPR systems for programmable cutting of nucleic acids. More recently, in 2024, we uncovered the first RNA-guided DNA recombinases. These bridge recombinases bind bridge RNAs: bispecific guide RNAs able to recognize two different DNA molecules simultaneously.

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Overcoming the insertion bias in natural bridge recombinase systems for efficient excision

For years, biological research has relied on assembling natural components through trial-and-error or screening thousands of candidates until something worked. While powerful AI models for protein design, RNA engineering, and gene regulation have the potential to accelerate this process, they remain isolated in computational silos, out of reach for many experimental biologists. Today, the Laboratory of Evolutionary Design, led by Brian Hie, is releasing Proto, a framework that integrates these diverse AI tools to enable complex, multi-modal biological design.

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Proto: A programming language for generative biology

Cells don't behave in isolation. The identity of a cell, what it does, and how it responds to perturbation is shaped by where it sits in a tissue, what signals it receives from neighbors, and what its neighbors are doing. PerturbSpace adds a single labeling step before a standard single-cell sequencing workflow, producing datasets where every cell carries its tissue location alongside its transcriptome, its CRISPR guide identity, and any other modalities your experiment includes.

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Members of the Mammalian Models Technology Center

Some of the most exciting AI projects I have worked on started not with graduate students or postdocs in my lab, but with undergraduates driven by raw curiosity and technical ambition. So when we launched the AIxBio Fellows Program earlier this year, I was curious who would apply and what kinds of projects we'd see proposed.

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Introducing the 2026 Arc AIxBio Fellows
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