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Biotechnology * * * --------------------------------------------------------------------- December 5, 2025 The GIST Programmable CRISPR platform can reduce stem cell differentiation from months to weeks by Syntax Bio edited by Sadie Harley, reviewed by Robert Egan [sadie] Sadie Harley scientific editor Meet our editorial team Behind our editorial process [Robert] Robert Egan associate editor Meet our editorial team Behind our editorial process Editors' notes This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: fact-checked peer-reviewed publication proofread CRISPR Credit: Unsplash/CC0 Public Domain Syntax Bio, a synthetic biology company programming the next generation of cell therapies, has published new research in Science Advances detailing the company's CRISPR-based Cellgorithm technology, which lays the groundwork for programmable control of gene activity in human stem cells and offers an alternative to the slow, variable manual processes researchers use today. In traditional cell differentiation, scientists expose stem cells to a series of growth factors, media changes, and environmental cues over months to coax them into a desired lineage. Each step is highly sensitive to timing and reagent conditions, leading to inconsistent results that are difficult to reproduce or scale. Syntax Bio aims to address this challenge. "Our research shows that we can now achieve an unprecedented level of temporal control over how genes turn on inside stem cells," said Ryan Clarke, Ph.D., Syntax Bio co-founder, chief technology officer, and study co-author. "It's the foundation of a new programming language for cells, one that we believe can eventually surpass the slow, inconsistent cell differentiation approaches researchers have relied on for years. Our goal is to make cell programming as reliable and scalable as running software." Addressing challenges in cell differentiation The company's Cellgorithm platform addresses a longstanding unmet need in regenerative medicine: the lack of reproducible, efficient methods for generating functional cell types. According to one recent study, scientists across biopharma and research institutions cite reproducibility, batch variability, and lengthy optimization times as the biggest challenges in cell differentiation and manufacturing. These inefficiencies limit scalability, slow discovery, and increase costs for cell-based therapies. How Cellgorithm technology works Cellgorithm technology automates this process by encoding the sequence of gene activations required to mimic natural development. A single DNA program triggers genes in the correct order, eliminating the need for repeated manual interventions. The approach has been shown to enable differentiation of a wide range of cell types in days to weeks rather than months. Potential impact on patients and industry For patients, this advancement could lead to faster access to stem cell-based treatments for diabetes, heart failure, Parkinson's disease, vision loss and other diseases. By improving reproducibility and scalability, Syntax's technology accelerates clinical research and helps reduce the cost of next-generation regenerative therapies. Syntax Bio is partnering with biopharmaceutical companies to apply Cellgorithm-based differentiation in therapeutic development. In one collaboration, a process that previously required four months could be accomplished in less than two weeks using Syntax's approach. More information: Anupama Puppala et al, Programmable multistep CRISPR gene activation via control of RNA Polymerase III termination, Science Advances (2025). DOI: 10.1126/sciadv.adt1532. www.science.org /doi/10.1126/sciadv.adt1532 Journal information: Science Advances Provided by Syntax Bio Citation: Programmable CRISPR platform can reduce stem cell differentiation from months to weeks (2025, December 5) retrieved 29 December 2025 from https://phys.org/news/ 2025-12-programmable-crispr-platform-stem-cell.html This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. 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This technology improves reproducibility and scalability, addressing major challenges in cell therapy development and potentially accelerating access to regenerative treatments. This summary was automatically generated using LLM. Full disclaimer Let us know if there is a problem with our content Use this form if you have come across a typo, inaccuracy or would like to send an edit request for the content on this page. For general inquiries, please use our contact form. For general feedback, use the public comments section below (please adhere to guidelines). Please select the most appropriate category to facilitate processing of your request [-- please select one -- ] [ ] [ ] [ ] [ ] [ ] Your message to the editors [ ] Your email (optional, only if you'd like a response) [ ] Send Feedback Thank you for taking time to provide your feedback to the editors. Your feedback is important to us. However, we do not guarantee individual replies due to the high volume of messages. 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