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A research team headed by the University of Zurich has developed a powerful new method to precisely edit DNA by combining cutting-edge genetic engineering with artificial intelligence. This technique opens the door to more accurate modeling of human diseases and lays the groundwork for next-generation gene therapies.

Precise and targeted DNA editing by small point mutations as well as the integration of whole genes via CRISPR/Cas technology has great potential for applications in biotechnology and gene therapy. However, it is very important that the so-called gene scissors do not cause any unintended genetic changes, but maintain genomic integrity to avoid unintended side effects. Normally, double-stranded breaks in the DNA molecule are accurately repaired in humans and other organisms. But occasionally, this DNA end joining repair results in genetic errors.

Gene editing with greatly improved precision Now, scientists from the University of Zurich (UZH), Ghent University in Belgium and the ETH Zurich have developed a new method which greatly improves the precision of genome editing. Using artificial intelligence (AI), the tool called Pythia predicts how cells repair their DNA after it is cut by gene editing tools such as CRISPR/Cas9. “Our team developed tiny DNA repair templates, which act like molecular glue and guide the cell to make precise genetic changes,” says lead author Thomas Naert, who pioneered the technology at UZH and is currently a postdoc at Ghent University.


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Attempting To Slow Aging By Optimizing Biomarkers

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Complex deep learning models are no better at understanding genetic perturbation than simple baseline ones, study finds

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well?

Chemical tag CRISPR technique could transform genetic disease treatment

A new generation of CRISPR technology developed at UNSW Sydney offers a safer path to treating genetic diseases like sickle cell, while also proving beyond doubt that chemical tags on DNA—often thought to be little more than genetic cobwebs—actively silence genes.

Study finds viruses rely on diverse RNA traits to pack their genomes with precision

Researchers at San Diego State University and Michigan State University are shedding new light on how viruses meticulously pack their genetic material — a breakthrough that could help researchers engineer antivirals and gene therapies.

Genomics pioneer George Church earns first retraction for anti-aging gene therapy paper

A paper coauthored by geneticist George Church has been retracted following an internal review at a university where several coauthors are based.

The article appeared in the Proceedings of the National Academy of Sciences in 2022. The work supports an anti-aging gene therapy developed by BioViva, a company for which Church serves as an adviser. The paper’s authors claim cytomegalovirus (CMV) can be a gene therapy vector for a treatment for “aging-associated decline” that can be inhaled or injected monthly.

The work has been cited 41 times, two of which are citations from corrections to the article, according to Clarivate’s Web of Science.

Bioelectrosynthesis platform enables switch-like, precision control of cell signaling

Cells use various signaling molecules to regulate the nervous, immune, and vascular systems. Among these, nitric oxide (NO) and ammonia (NH₃) play important roles, but their chemical instability and gaseous nature make them difficult to generate or control externally.

A KAIST research team has developed a platform that generates specific signaling molecules in situ from a single precursor under an applied electrical signal, enabling switch-like, precise spatiotemporal control of cellular responses. This approach could provide a foundation for future medical technologies such as electroceuticals, electrogenetics, and personalized cell therapies.

The research team led by Professor Jimin Park from the Department of Chemical and Biomolecular Engineering, in collaboration with Professor Jihan Kim’s group, has developed a bioelectrosynthesis platform capable of producing either or on demand using only an electrical signal. The platform allows control over the timing, spatial range, and duration of cell responses.

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