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Digital data storage is a growing need for our society and finding alternative solutions than those based on silicon or magnetic tapes is a challenge in the era of “big data.” The recent development of polymers that can store information at the molecular level has opened up new opportunities for ultrahigh density data storage, long-term archival, anticounterfeiting systems, and molecular cryptography. However, synthetic informational polymers are so far only deciphered by tandem mass spectrometry. In comparison, nanopore technology can be faster, cheaper, nondestructive and provide detection at the single-molecule level; moreover, it can be massively parallelized and miniaturized in portable devices. Here, we demonstrate the ability of engineered aerolysin nanopores to accurately read, with single-bit resolution, the digital information encoded in tailored informational polymers alone and in mixed samples, without compromising information density. These findings open promising possibilities to develop writing-reading technologies to process digital data using a biological-inspired platform.

DNA has evolved to store genetic information in living systems; therefore, it was naturally proposed to be similarly used as a support for data storage (1–3), given its high-information density and long-term storage with respect to existing technologies based on silicon and magnetic tapes. Alternatively, synthetic informational polymers have also been described (5–9) as a promising approach allowing digital storage. In these polymers, information is stored in a controlled monomer sequence, a strategy that is also used by nature in genetic material. In both cases, single-molecule data writing is achieved mainly by stepwise chemical synthesis (3, 10, 11), although enzymatic approaches have also been reported (12). While most of the progress in this area has been made with DNA, which was an obvious starting choice, the molecular structure of DNA is set by biological function, and therefore, there is little space for optimization and innovation.

You are an apogee of Earthly Nature encompassing numerous generations of humans as well as preceded non-human terrestrial life, sitting atop the tree of life… and so is everyone else who lives today. We all can be regarded as archetypes for future generations as well, or perhaps a “developing pattern,” if you intend to live indefinitely long. At any rate, genetically and anthropologically speaking, we all are one humongous extended family. #Timescape #HomoSapiens #ExponentialPedigree


This demographic research provides a host of quantifiable properties of the human species as a whole for further visualizing the data via certain graphs and diagrams. 5 trillion subjective years would constitute the ‘Timescape’ of Homo sapiens up to the p.

Follow the links in the story for sources, the text is in red. A new strain of COVID-19 is causing a wave of new lockdowns in London and travel restrictions for those coming from the U.K. because some are worried that this may be an even more contagious version of the coronavirus. Experts say it’s definitely something to watch out for, but it’s not clear whether or not this variant is actually more transmissible—and there’s no reason to think the current COVID-19 vaccines won’t be effective against it. So what exactly is different about this new strain of COVID-19? Well, this variant (also called B. 1. 1. 7.) has a few mutations, 17 to be exact. Not all of them are concerning, but a few are. The mutations that have experts a little on edge have to do with genes that encode the virus’s spike protein, which is located on the surface of the virus and is the piece of the virus that helps it actually bind to human cells. (That’s the first step in becoming infected.) One of these mutations (called N501Y) may make it easier for the spike protein to bind to the receptors on our cells, Science explains. Another mutation (called 69-70del) affects the number of amino acids (the building blocks that make up a protein) in the spike protein, and variants with this mutation have been previously identified in some immunocompromised people whose bodies were unable to muster the necessary immune response to protect them from the virus.


It’s causing new lockdowns and travel restrictions.

A team of Johns Hopkins University researchers has developed a new software that could revolutionize how DNA is sequenced, making it far faster and less expensive to map anything from yeast genomes to cancer genes.

The , detailed in a paper published in Nature Biotechnology, can be used with portable sequencing devices to accelerate the ability to conduct genetic tests and deliver diagnoses outside of labs. The new technology targets, collects and sequences without sample preparation and without having to map surrounding genetic material like standard methods require.

“I think this will forever change how DNA sequencing is done,” said Michael C. Schatz, a Bloomberg Distinguished Associate Professor of Computer Science and Biology and senior author of the paper.

Summary: Artificial intelligence technology redesigned a bacterial protein that helps researchers track serotonin in the brain in real-time.

Source: NIH

Serotonin is a neurochemical that plays a critical role in the way the brain controls our thoughts and feelings. For example, many antidepressants are designed to alter serotonin signals sent between neurons.

In an article in Cell, National Institutes of Health-funded researchers described how they used advanced genetic engineering techniques to transform a bacterial protein into a new research tool that may help monitor serotonin transmission with greater fidelity than current methods. Preclinical experiments, primarily in mice, showed that the sensor could detect subtle, real-time changes in brain serotonin levels during sleep, fear, and social interactions, as well as test the effectiveness of new psychoactive drugs.

Nice lecture with both technical info and analogy.


Latest study from David Sinclair’s lab have used cellular reprogramming to restore vision in aged mice & more! Suggests reversing aging *may* be possible.

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TIMESTAMPS;
Intro — 00:00
Aging is loss of information — 00:45
Correction device & epigenetics — 02:49
Yamanaka factors & OSKM — 04:45
Study results from Sinclair lab — 07:25
Aging reversed? — 10:29
Working model — 12:00
Cellular reprogramming in humans? — 12:36.

REFERENCES;
Lu, Y., Brommer, B., Tian, X. et al. Reprogramming to recover youthful epigenetic information and restore vision. Nature 588, 124–129 (2020). https://doi.org/10.1038/s41586-020-2975-4
In Vivo Amelioration… — https://doi.org/10.1016/j.cell.2016.11.052
Yamanaka — https://doi.org/10.1016/j.cell.2006.07.024
News & Views article — https://www.nature.com/articles/d41586-020-03403-0

Icons in intro; “https://www.freepik.com/free-photos-vectors/background“Background vector created by freepik — www.freepik.com

Dr. Steve Horvath, a professor of genetics and biostatistics at UCLA, has found a way to measure biological aging – a type of “clock” – based on the methylation pattern of an organism’s genome. Methylations are biochemical processes that modify the activity of a DNA segment without changing its sequence – a type of epigenetic change. This video primer explains the basics of epigenetic clocks, the topic of our interview with Dr. Steve Horvath, coming soon!

Get the show notes here:
https://www.foundmyfitness.com/episodes/epigenetic-clock/

Episode highlights:
• 00:00:09 — A person’s risk of disease is more dependent on their biological age than their chronological age.
• 00:00:09 — Epigenetics refers to processes that can affect gene expression without changing the DNA sequence. Methylation is a type of epigenetic change that occurs over a lifetime in a predictable way and can be used to measure biological age.
• 00:01:17 — The Horvath clock can accurately predict a person’s chronological age based on only the epigenetic information in their blood.
• 00:01:54 — The GrimAge clock can predict the risk and time of onset of cancer, heart disease, and death.
• 00:02:19 — Certain drugs can reverse a person’s epigenetic age, but the effects on biological age are unknown.
• 00:03:09 — The discovery of an anti-aging drug is on the horizon.