#micropatches

#micropatches

While some other creatures, most notably salamanders and starfish, can regenerate entire limbs, mammals don't have this evolutionary superpower. The big question is: Why are mammals limited?

"We didn't know what we had," Michele Stansfield, co-founder and CEO of Cauldron Ferm, told TechCrunch. But eventually, Stansfield realized they had more than initially thought.

Using CRISPR-Cas9 and adeno-associated virus (AAV)-mediated homology-directed repair, we targeted CAR integration into the endogenous human TCR alpha locus (TRAC). TRAC-CAR T cells display dynamic CAR expression that delays exhaustion and improves tumour control in xenograft and immunocompetent models. This work has been critical for the development of allogeneic CAR T cell therapy, as it disrupts the TCR after transgene insertion—a necessary step to limit graft-versus-host disease.

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.

The body of the robotic fingers is built from polyglycerol sebacate, a synthetic elastomer made from glycerol and sebacic acid. Glycerol is a byproduct of biodiesel production while sebacic acid is derived from castor oil, and both of them are plant-based. Polyglycerol sebacate is safe since it is already used in medical implants because the body can absorb it without a toxic response.

Cortical Labs in Melbourne taught a dish of lab-grown neurons to play Pong in 2022. Now it has built what it describes as the world's first code-deployable biological computer, running on living human tissue rather than silicon chips, which is happily playing the 1993 shooter Doom. At first it didn't know how to move, aim or shoot. Then it would shoot two enemies and stop. So it's definitely learning.

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.

Although specific bacterial taxa have been associated with favourable clinical responses to immune checkpoint blockade (ICB) in cancer patients12,13,18,19,20,21,22, the mechanisms by which the intestinal microbiota influences anti-tumour immune responses remain poorly defined. Products of the microbiota, including metabolites23,24,25 and innate receptor ligands26, may reprogramme myeloid cells27, lowering the activation threshold for antigen presentation and thereby facilitating priming and activation of tumour-reactive T cells.

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.

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.

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.

Last November, the UK government announced a bold plan to phase out animal testing in some areas of research. Animal tests for skin irritation are scheduled for elimination this year, and some studies on dogs should be slashed by 2030. The long-term vision is 'a world where the use of animals in science is eliminated in all but exceptional circumstances'.

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.