A new study looks at decades of gain-of-function pathogen studies and concludes that the controversial research field will be difficult to regulate. It comes as activists and politicians are seeking to ban the practice and as the federal government is considering new restrictions.
Researchers at the University of Wisconsin–Madison and Academia Sinica of Taiwan have harnessed a combination of lab-grown cells to regenerate damaged heart muscle.
The study is published in Circulation. It addresses major challenges of using heart muscle cells, called cardiomyocytes, grown from stem cells, and takes a crucial step toward future clinical applications.
Previous research has shown that transplanting cardiomyocytes made from induced pluripotent stem cells (iPSC) can replace muscle in the hearts of mammals. Researchers have struggled to bring the treatment to the clinic, in part because the implanted cells haven’t developed enough life-sustaining blood vessels to survive very long.
A UK-led team of researchers restrained mice for 6 hours to induce a stress response and then analyzed the rodents’ brains on a molecular level.
This led to the discovery of increased levels of five microRNAs (miRNAs) — small molecules that help determine which genes in a cell are expressed and which aren’t — in the amygdala, the brain region implicated in anxiety. When the researchers took a closer look at the miRNA that reached the highest levels, miR-483-5p, they saw that it suppressed the expression of the Pgap2 gene — and that this suppression appeared to provide stress relief and reduce anxiety-related behavior.
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Progress update: Our latest AlphaFold model shows significantly improved accuracy and expands coverage beyond proteins to other biological molecules, including ligands.
Since its release in 2020, AlphaFold has revolutionized how proteins and their interactions are understood. Google DeepMind and Isomorphic Labs have been working together to build the foundations of a more powerful AI model that expands coverage beyond just proteins to the full range of biologically-relevant molecules.
Today we’re sharing an update on progress towards the next generation of AlphaFold. Our latest model can now generate predictions for nearly all molecules in the Protein Data Bank (PDB), frequently reaching atomic accuracy.
While a federal judge advanced an infringement claim against Stability AI, he dismissed the rest of the lawsuit.
In a new study, Deepmind and colleagues at Isomorphic Labs show early results from a new version of AlphaFold that brings fully automated structure prediction of biological molecules closer to reality.
The Google Deepmind AlphaFold and Isomorphic Labs team today unveiled the latest AlphaFold model. According to the companies, the updated model can now predict the structure of almost any molecule in the Protein Data Bank (PDB), often with atomic accuracy. This development, they say, is an important step towards a better understanding of the complex biological mechanisms within cells.
Since its launch in 2020, AlphaFold has influenced protein structure prediction worldwide. The latest version of the model goes beyond proteins to include a wide range of biologically relevant molecules such as ligands, nucleic acids and post-translational modifications. These structures are critical to understanding biological mechanisms in cells and have been difficult to predict with high accuracy, according to Deepmind.
Nanotechnology sounds like a futuristic development, but we already have it in the form of CPU manufacturing. More advanced nanotech could be used to create independent mobile entities like nanobots. One of the main challenges is selecting the right chemicals, elements, and structures that actually perform a desired task. Currently, we create more chemically oriented than computationally oriented nanobots, but we still have to deal with the quantum effects at tiny scale.
One of the most important applications of nanotechnology is to create nanomedicine, where the technology interacts with biology to help resolve problems. Of course, the nanobots have to be compatible with the body (e.g. no poisonous elements if they were broken down, etc).
Continue reading “How nanobots and nanomedicine will improve our health” »
This Review discusses how embryonic transcriptional programs, such as epithelial–mesenchymal plasticity and stemness, may be harnessed in adult tissues to drive processes and diseases such as regeneration and cancer.
https://youtube.com/watch?v=ZzsM2wd9h8k
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