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Optogenetics, a tool for controlling neurons with light, has given neuroscientists the ability to flip brain cells on and off more or less at will, revolutionizing neuroscience.

Yet the technique faces a fundamental challenge: To study all but the outermost part of the brain, researchers need to implant fiber optics or other invasive devices to deliver deep into the brain.

Now, in Proceedings of the National Academy of Sciences, Stanford researchers report that they’ve found a less invasive way to do so: injectable nanoparticles that convert , which can easily penetrate into the brain, into light.

The answer is essentially yes … in the short term.


If you’re an apparently healthy person who wants to learn about your genetic disease risks, you can send a saliva sample and a hundred bucks or so to an array-based direct-to-consumer genetic testing company and get some trait information and selected health risks, plus details about your genetic ancestry. But as the direct-to-consumer (DTC) companies themselves will tell you, this is only a fraction of the medical value that may be hidden in your genome. Many of the experts in both ancestry and medical genomics will suggest that since consumer facing genomics are not as comprehensive as those meeting medical standards, it is quite OK for consumers to pay for these products out of their own pockets.

But when it comes to health care, people expect products and services that are medically beneficial to be available to more than just those people who can pay for them. As medical science increasingly demonstrates the life altering value of genomics, the notion that these services must be paid for out of pocket, making it inaccessible to some, does not seem appropriate or fair.

They are probs descendants from god alien cats from ancient time. They are entirely self sufficient and so cute face_with_colon_three Also essentially perfect on all levels that rival even humans. Basically a whole kit of ninja abilities that truly are phenomenal even used in war times. There is a reason why culture after culture praises them and revels in their abilities and intelligence. Even legends say the ninja learned of them to be akin to them in stealth abilities. Even in popular culture the flerkin is seen guarding the tesseract. Also dragon ball z there is a god cat that oversees a universe. Even to this day the feline genetic code still shows mysteries that have enticed generations of people so why not see they have their own story to tell their own universe of mystery.


Recent polling shows Americans love their conspiracy theories. They also love cats. This was bound to happen.

Scientists like Prof Sinclair have evidence of speeding up, slowing, and even reversing aging.
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What causes aging? According to Professor David Sinclair, it is a loss of information in our epigenome, the system of proteins like histones and chemical markers like methylation that turn on and off genes. Epigenetics allow different cell types to perform their specific functions — they are what differentiate a brain cell from a skin cell. Our DNA is constantly getting broken, by cosmic rays, UV radiation, free radicals, x-rays and regular cell division etc. When our cells repair that damage, the epigenome is not perfectly reset. And hence over time, noise accumulates in our epigenome. Our cells no longer perform their functions well.

To counter this decline, we can activate the body’s own defenses against aging by stressing the body. Eat less, eat less protein, engage in intense exercise, experience uncomfortable cold. When the body senses existential threats it triggers longevity genes, which attempt to maintain the body to ensure its survival until good times return. This may be the evolutionary legacy of early bacteria, which established these two modes of living (repair and protect vs grow and reproduce). Scientists are uncovering ways to mimic stresses on the body without the discomfort of fasting. Molecules like NMN also trigger sirtuins to monitor and repair the epigenome. This may slow aging.

Reversing aging requires an epigenetic reset, which may be possible using Yamanaka factors. These four factors can revert an adult cell into a pluripotent stem cell. Prof. Sinclair used three of the four factors to reverse aging in the retinal cells of old mice. He found they could see again after the treatment.

Columbia scientists have captured the first images of a new gene editing tool that could improve upon existing CRISPR-based tools. The team developed the tool, called INTEGRATE, after discovering a unique “jumping gene” in Vibrio cholerae bacteria that could insert large genetic payloads in the genome without introducing DNA breaks.

In the new study, published today in Nature, the researchers harnessed a Nobel Prize-winning technique called cryo-electron microscopy to freeze the gene editing complex in action, revealing high-resolution details about how it works.

“We showed in our first study how to leverage INTEGRATE for targeted DNA insertions in ,” says Sam Sternberg, Ph.D., assistant professor of biochemistry & molecular biophysics at Columbia University Vagelos College of Physicians and Surgeons, who led the research with Israel Fernandez, Ph.D., assistant professor of biochemistry & at Columbia. “These new images, a wonderful collaboration with Israel Fernández’s lab, explain the biology with incredible molecular detail and will help us improve the system by guiding protein engineering efforts.”

Scientists have developed a new gene-therapy technique by transforming human cells into mass producers of tiny nano-sized particles full of genetic material that has the potential to reverse disease processes.

Though the research was intended as a proof of concept, the experimental therapy slowed and prolonged survival in mice with gliomas, which constitute about 80 percent of in humans.

The technique takes advantage of exosomes, fluid-filled sacs that release as a way to communicate with other cells.

After decades of research, here it is: the first promising evidence in humans, albeit imperfect and early, that a cocktail of three drugs is enough to reverse the epigenetic clock—a measure of someone’s biological age and health.

The results came as a surprise to even the research team, who originally designed the trial for something a little less dazzling: to look at human growth hormone’s effects on the thymus, the cradle of the body’s immune system that deteriorates with age.

“Maintained immune function is seen in centenarians,” and thymus function is linked to all-cause mortality, explained study author Dr. Gregory Fahy at Intervene Immune, based in Los Angeles, California. “So we were hoping to use a year of growth hormone to maintain thymus function in middle-aged men, right before the tissue’s functions take a nosedive,” he said.

Taking advantage of powerful advances in CRISPR gene editing, scientists at the University of California San Diego have set their sights on one of society’s most formidable threats to human health.

A research team led by Andrés Valderrama at UC San Diego School of Medicine and Surashree Kulkarni of the Division of Biological Sciences has developed a new CRISPR-based gene-drive system that dramatically increases the efficiency of inactivating a gene rendering bacteria antibiotic-resistant. The new system leverages technology developed by UC San Diego biologists in insects and mammals that biases genetic inheritance of preferred traits called “active genetics.” The new “pro-active” genetic system, or Pro-AG, is detailed in a paper published December 16 in Nature Communications.

Widespread prescriptions of and use in animal food production have led to a rising prevalence of antimicrobial resistance in the environment. Evidence indicates that these environmental sources of antibiotic resistance are transmitted to humans and contribute to the current health crisis associated with the dramatic rise in drug-resistant microbes. Health experts predict that threats from antibiotic resistance could drastically increase in the coming decades, leading to some 10 million drug-resistant disease deaths per year by 2050 if left unchecked.

As part of the LEAF Longevity Bookclub and to celebrate the launch of Dr. David Sinclair’s new book, Lifespan: Why We Age and Why We Don’t Have To, we hosted a special webinar on the 18th of September. The new book takes us on a journey through the biology of why we age and spotlights the exciting research being done in the lab today which could potentially change the way we treat the diseases of aging.

Dr. David Sinclair is a professor of genetics at Harvard Medical School. One of the leading innovators of his generation, he has been named by Time as “one of the 100 most influential people in the world” and in the top 50 most influential people in healthcare. He is a board member of the American Federation for Aging Research and has received more than 35 awards for his research and major scientific breakthroughs. Dr. Sinclair and his work have been featured on 60 Minutes, Today, The Wall Street Journal, The New York Times, Fortune, and Newsweek, among others. He lives in Boston and enjoys hiking and kayaking with his wife and three children.

Multiple prominent personalities and channels, including Joe Rogan, David Pakman, and Utah Public Radio, have interviewed him about his book, and we took the opportunity to allow the community to directly contact him. The webinar was an open event that offered up to 100 people a chance to join the video conference with Dr. Sinclair and to participate in the Q&A session following a reading of some of the exciting sections of the new book. We are delighted to announce that the webinar was an outstanding success, with over 90 people joining the call live to take part as well as many more watching via the livestream on our Facebook page. Five lucky attendees also won a copy of the book courtesy of Dr. Sinclair, and we would like to thank him for this kind offer as well as for taking the time to conduct this webinar with us.

Carnegie Mellon University computer scientists have taken a deep learning method that has revolutionized face recognition and other image-based applications in recent years and redirected its power to explore the relationship between genes.

The trick, they say, is to transform massive amounts of gene expression data into something more image-like. Convolutional neural networks (CNNs), which are adept at analyzing visual imagery, can then infer which are interacting with each other. The CNNs outperform existing methods at this task.

The researchers’ report on how CNNs can help identify disease-related genes and developmental and genetic pathways that might be targets for drugs is being published today in the Proceedings of the National Academy of Science. But Ziv Bar-Joseph, professor of computational biology and , said the applications for the new method, called CNNC, could go far beyond gene interactions.