Researchers led by the University of Cincinnati’s Agnes (Yu) Luo, PhD, have published findings in the journal Cell Reports showing a novel drug helped to repair the damage caused by ischemic stroke in animal models.
The World Health Organization has called for people infected with monkeypox to avoid exposing animals to the virus after the first reported case of human-to-dog transmission.
The case, involving two men and their Italian greyhound living together in Paris, was reported last week in the medical journal the Lancet.
The last known thylacine, also called the Tasmanian tiger, died at Australia’s Hobart Zoo in 1936. Now, a team of scientists believe they can resurrect the extinct species within 10 years, using stem cells and gene editing technology.
A Brain-Computer Interface (BCI) is a promising technology that has received increased attention in recent years. BCIs create a direct link from your brain to a computer. This technology has applications to many industries and sectors of our life. BCIs redefine how we approach medical treatment and communication for individuals with various conditions or injuries. BCIs also have applications in entertainment, specifically video games and VR. From being able to control a prosthetic limb with your mind, to being able to play a video game with your mind—the potential of BCIs are endless.
What are your thoughts on Brain-Computer Interfaces? Let us know!
Any disruptive technologies you would like us to cover? Dm us on our Instagram (@toyvirtualstructures).
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Is de-extinction realistic?
Scientists in the US and Australia have announced a multi-million dollar project — resurrecting the extinct Tasmanian tiger. The last known marsupial officially called a thylacine, died in the 1930s. According to the team, the extinct thylacine can be recreated using stem cells and gene-editing technology, and the first one could be “reintroduced” to the wild within 10 years.
We would strongly advocate that first and foremost we need to protect our biodiversity from further extinctions, but unfortunately we are not seeing a slowing down in species loss.
Continue reading “‘Jurassic Park’? Scientists want to resurrect Australia’s Tasmanian tiger” »
Speaking at the Longevity Leaders conference earlier this year, King’s College London Professor Georgina Ellison-Hughes shared a fascinating insight into her work to establish the adult heart as a self-renewing organ with regenerative capacity.
Longevity. Technology: The heart is generally considered a “post-mitotic” organ, or one without regenerative capacity. As we age and encounter chronic disease, senescent cells accumulate in the heart, just as they do in other tissues and organs. Ellison-Hughes’ work has shown that cellular senescence may impact the efficacy of regenerative therapies, and that senolytics have the potential to rejuvenate the heart’s capacity to regenerate. We caught up with the professor to learn more.
Cellular senescence is one of the nine hallmarks of aging. It occurs when our cells stop reproducing and enter a zombie state where they refuse to die – hanging around and causing problems throughout our bodies. Ellison-Hughes is professor of regenerative muscle physiology at King’s and in 2019 was co-author of a study in Aging Cell, which found that senescent cells impaired regeneration in the human heart.
Iron could massively boost ocean algae populations.
Scientists suggest we could fertilize the world’s oceans with iron to fight climate change. Iron would lead to phytoplankton blooms, which would help to pull carbon dioxide out of the atmosphere.
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Circular ribonucleic acids (circRNAs) are a promising platform for gene expression studies as a stable and prevalent ribonucleic acid in eukaryotic cells, which arise from back-splicing. In a new report now published in Nature Biotechnology, Robert Chen and a team of interdisciplinary researchers at Stanford University, California, U.S., developed a systematic approach to rapidly assemble and test features affecting protein production based on synthetic circular RNAs. The team maximized translation of the circRNA by optimizing fine elements to implement design principles to improve circular RNA yield by several hundred-fold. The outcomes facilitated an increased translation of the RNA of interest, when compared to messenger RNA (mRNA) levels, to provide durable translation in vivo.
Developing circular RNA (circRNA) in the lab
Therapeutics based on ribonucleic acids span across messenger RNA (mRNA), small interfering RNAs (siRNA) and microRNAs (miRNA) with expansion into modern medicine including small molecules, biologics and cell therapeutics. For example, the lately popular mRNA vaccines can be designed in the lab and developed at a rapid pace to respond to evolving and urgent medical crises. Coding RNAs can be circularized into circRNAs to extend the duration of protein translation, based on RNA molecules that covalently join head-to-tail. Bioengineers have also advanced the synthesis of circular long transcripts into circRNAs. However, the fundamental mechanisms of initiating translation to form circular RNA or messenger RNA differ due to the lack of a 7-methylguanylate (M7G) cap on the circular RNAs. As a result of this, researchers need to thoroughly examine the principles of circular RNA translation to build better therapies and potentially surpass the translational capacities of mRNA.
The chip is an artificial neuron, but nothing like previous chips built to mimic the brain’s electrical signals. Rather, it adopts and adapts the brain’s other communication channel: chemicals.
Called neurotransmitters, these chemicals are the brain’s “natural language,” said Dr. Benhui Hu at Nanjing Medical University in China. An artificial neuron using a chemical language could, in theory, easily tap into neural circuits—to pilot a mouse’s leg, for example, or build an entirely new family of brain-controlled prosthetics or neural implants.
A new study led by Hu and Dr. Xiaodong Chen at Nanyang Technological University, Singapore, took a lengthy stride towards seamlessly connecting artificial and biological neurons into a semi-living circuit. Powered by dopamine, the setup wasn’t a simple one-way call where one component activated another. Rather, the artificial neuron formed a loop with multiple biological counterparts, pulsing out dopamine while receiving feedback to change its own behavior.
