#genetically-engineered-host-cells

#genetically-engineered-host-cells

The goal is to create thousands of sperm from a standard tissue biopsy. The company has had a high success rate in generating sperm from dozens of tissue samples.

Antibiotics are essential for modern medicine, but bacteria are evolving and developing resistance, turning routine infections into life-threatening conditions. A global analysis estimates that antibiotic-resistant infections could cause over 39 million deaths by 2050.

Chronic inflammation is a central driver of pathological fibrosis after ischaemic or haemodynamic stress, but strategies that locally rebalance injurious and reparative immune responses without systemic immunosuppression are lacking.

Now, researchers have created an artificial-intelligence system that vastly simplifies and accelerates the process of chemical synthesis. The system, which is called MOSAIC and is described in a study published in Nature on 19 January, recommended conditions that researchers were able to use to generate 35 compounds with the potential to become products like pharmaceuticals, agrochemicals or cosmetics without needing to do any further trawling or tweaking.

Biology is undergoing a transformation. After centuries of studying life as it evolves naturally, researchers are now using a combination of computation and genome engineering to intervene, generating new proteins and even whole bacteria from scratch. The use of artificial-intelligence tools to design biological components, an approach known as generative biology, is set to turbocharge this area of research. Just last year, scientists used AI-assisted design to produce artificial genes that can be expressed in mammalian cells.

Scientists in the laboratory of Rendong Yang, PhD, associate professor of Urology, have developed a new large language model that can interpret transcriptomic data in cancer cell lines more accurately than conventional approaches, as detailed in a recent study published in Nature Communications. Long-read RNA sequencing technologies have transformed transcriptomics research by detecting complex RNA splicing and gene fusion events that have often been missed by conventional short-read RNA-sequencing methods.

When mitochondria are exposed to tissue or blood, they lose the electrical gradient across their outer membrane. Mitochondria that lack such a gradient are recognized by a cell's internal machinery as damaged and quickly destroyed. The vast majority of previous studies involved injecting 'naked' mitochondria directly into the bloodstream or tissue sites, but the approach isn't very efficient, so researchers often have to use 'ridiculous' doses of mitochondria.

Martschenko's argument is largely that genetic research and data have almost always been used thus far as a justification to further entrench extant social inequalities. But we know the solutions to many of the injustices in our world-trying to lift people out of poverty, for example-and we certainly don't need more genetic research to implement them. Trejo's point is largely that more information is generally better than less.