Scholars’ understanding of the Dead Sea Scrolls may be enhanced by an unusual source: the DNA of the animals they’re printed on.
I dont really care where it comes from but we need Crispr tec to be where any alteration we do want causes Zero un intended alterations any where else 100% of the time, aim for by 2030–2035 window.
A diverse set of species, from snails to algae to amoebas, make programmable DNA-cutting enzymes called Fanzors—and a new study from scientists at MIT’s McGovern Institute for Brain Research has identified thousands of them. Fanzors are RNA-guided enzymes that can be programmed to cut DNA at specific sites, much like the bacterial enzymes that power the widely used gene-editing system known as CRISPR. The newly recognized diversity of natural Fanzor enzymes, reported Sept. 27 in the journal Science Advances, gives scientists an extensive set of programmable enzymes that might be adapted into new tools for research or medicine.
“RNA-guided biology is what lets you make programmable tools that are really easy to use. So the more we can find, the better,” says McGovern Fellow Omar Abudayyeh, who led the research with McGovern Fellow Jonathan Gootenberg.
CRISPR, an ancient bacterial defense system, has made it clear how useful RNA-guided enzymes can be when they are adapted for use in the lab. CRISPR-based genome editing tools developed by MIT professor and McGovern investigator Feng Zhang, Abudayyeh, Gootenberg, and others have changed the way scientists modify DNA, accelerating research and enabling the development of many experimental gene therapies.
Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have demonstrated a new approach to peer deeper into the complex behavior of materials. The team harnessed the power of machine learning to interpret coherent excitations, collective swinging of atomic spins within a system.
This groundbreaking research, published recently in Nature Communications, could make experiments more efficient, providing real-time guidance to researchers during data collection, and is part of a project led by Howard University including researchers at SLAC and Northeastern University to use machine learning to accelerate research in materials.
The team created this new data-driven tool using “neural implicit representations,” a machine learning development used in computer vision and across different scientific fields such as medical imaging, particle physics and cryo-electron microscopy. This tool can swiftly and accurately derive unknown parameters from experimental data, automating a procedure that, until now, required significant human intervention.
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Hello and welcome! My name is Anton and in this video, we will talk about an invention of a DNA bio computer.
Links:
https://www.nature.com/articles/s41586-023-06484-9
https://www.washington.edu/news/2016/04/07/uw-team-stores-di…perfectly/
Other videos:
https://youtu.be/x3jiY8rZAZs.
https://youtu.be/JGWbVENukKc.
#dna #biocomputer #genetics.
0:00 Quantum computer hype.
0:50 Biocomputers?
1:55 Original DNA computers from decades ago.
3:10 Problems with this idea.
3:50 New advances.
5:35 First breakthrough — DNA circuit.
7:30 Huge potential…maybe.
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While it is well known that certain brain regions play a crucial role in memory processes, so far it has not been clear whether these regions exhibit different activities when it comes to storing information in people with better or worse memory performance.
Having investigated this matter, a research team led by Professor Dominique de Quervain and Professor Andreas Papassotiropoulos has now published its results in the journal Nature Communications.
In the world’s largest functional imaging study on memory, they asked nearly 1,500 participants between the ages of 18 and 35 to look at and memorize a total of 72 images. During this process, the researchers recorded the subjects’ brain activity using MRI. The participants were then asked to recall as many of the images as possible – and as in the general population, there were considerable differences in memory performance among them.
Relief could be on the way for people with painful hand osteoarthritis after a Monash University and Alfred Health-led study found an affordable existing drug can help. Until now there has been no effective treatment.
Published in The Lancet, the paper investigated methotrexate, a low-cost, effective treatment for inflammatory joint conditions such as rheumatoid arthritis and psoriatic arthritis. It has been widely used in Australia and globally since the early 1980s.
Researchers found that methotrexate reduced symptoms in those with hand osteoarthritis (OA). A 20mg weekly oral dose over six months had a moderate effect in reducing pain and stiffness in patients with symptomatic hand OA.
🥼 Researchers from the Netherlands Institute for Neuroscience and the VIB-KU Leuven Center for Brain and Disease Research have shown that microRNA-132 can significantly affect different brain cells, with potential implications for Alzheimer’s disease ✔️
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Research shows that microRNA-132 can significantly affect different brain cells, with potential implications for Alzheimer’s disease. Find out more.