Lifeboat Foundation: Safeguarding Humanity
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Category: genetics

Back in 2005, Drs. Irina and Michael Conboy showed that joining the circulatory systems of young and old mice together in a procedure called parabiosis could rejuvenate aged tissues and reverse some aspects of aging in old mice.

Following this discovery, many researchers concluded that there must be something special in young blood that was able to spur rejuvenation in aged animals, and various companies have been trying to find out what. Indeed, we recently reported that researchers were apparently successful in halving the epigenetic age of old rats by treating them with Elixir, a proprietary mix of pro-youthful factors normally found in young blood.

However, a question still remains: was the rejuvenation the result of there being something beneficial in the young blood, or is it more a case of dilution of the harmful factors present in old blood?

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Chemical process called ELAST allows labeling probes to infuse more quickly, and makes samples tough enough for repeated handling.

When there’s a vexing problem to be solved, people sometimes offer metaphorical advice such as “stretching the mind” or engaging in “flexible” thinking, but in confronting a problem facing many biomedical research labs, a team of MIT researchers has engineered a solution that is much more literal. To make imaging cells and molecules in brain and other large tissues easier while also making samples tough enough for years of handling in the lab, they have come up with a chemical process that makes tissue stretchable, compressible, and pretty much indestructible.

“ELAST” technology, described in a new paper in Nature Methods, provides scientists a very fast way to fluorescently label cells, proteins, genetic material, and other molecules within brains, kidneys, lungs, hearts, and other organs. That’s because when such tissues can be stretched out or squished down thin, labeling probes can infuse them far more rapidly. Several demonstrations in the paper show that even after repeated expansions or compressions to speed up labeling, tissues snap back to their original form unaltered except for the new labels.

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In the last few years, most of the data such as books, videos, pictures, medical and even the genetic information of humans are moving toward digital formats. Laptops, tablets, smartphones and wearable devices are the major source of this digital data transformation and are becoming the core part of our daily life. As a result of this transformation, we are becoming the soft target of various types of cybercrimes. Digital forensic investigation provides the way to recover lost or purposefully deleted or hidden files from a suspect’s device. However, current man power and government resources are not enough to investigate the cybercrimes. Unfortunately, existing digital investigation procedures and practices require huge interaction with humans; as a result it slows down the process with the pace digital crimes are committed. Machine learning (ML) is the branch of science that has governs from the field of AI. This advance technology uses the explicit programming to depict the human-like behaviour. Machine learning combined with automation in digital investigation process at different stages of investigation has significant potential to aid digital investigators. This chapter aims at providing the research in machine learning-based digital forensic investigation, identifies the gaps, addresses the challenges and open issues in this field.

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Sending a handful of people certainly could serve as a proof of concept analogous to America’s Spanish and Portuguese outposts in the early 1500’s, or the English and Dutch settlements in the early 1600’s. In these instances the populations measured in the dozens and would not have amounted to a lasting European presence had they not been followed by thousands of new settlers over the next few decades. But, given our more advanced technology, our level of medicine, the idea that humans could have equipment that will utilize the Martian environment to produce food, air, and other consumables, and the certainty that settlers will not be at war with the Martian equivalent of the Aztecs or Incas—couldn’t a Martian settlement survive long term with just a low number of colonists?

The answer is no—not if the goal is a permanent human presence. Not if the goal is to provide our species with some kind of extinction insurance against planetary disaster on Earth, such as a mega-volcanic eruption, nuclear war, or some other existential threat. Mars setters can use technology to get air and food from the Mars environment, but early European explorers in the New World had access to one natural resource that mid-21st century Mars colonists will not be able to manufacture: a human gene pool.

If we really want Martian colonies, we can’t send just a few Adams and Eves. We can’t set-up a Martian Jamestown of 100 people. Long-term survival will depend on the genetic diversity of a large gene pool, and this means the Elon Musk plan of sending thousands might be the only colonization plan that could work.

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Why does this happen?

To put things as simply as possible, the root cause of all aging is a loss of energy on the cellular level, and there are basically two major theories for why this occurs. One says cellular energy decline is the result of accumulated cellular and mitochondrial damage. In other words, it’s the result of wear and tear on a cellular level. The other theory speculates that it is the result of genetic programming, with some genes getting overexpressed while others get underexpressed as we age.

These two theories of cellular energy decline aren’t in competition with one another. They just look at the problem from two different vantage points. The reality is these “causes” are interrelated. Gene overexpression and underexpression can cause cellular damage. Cellular damage can impair gene expressions.

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Two people with beta thalassaemia and one with sickle cell disease no longer require blood transfusions, which are normally used to treat severe forms of these inherited diseases, after their bone marrow stem cells were gene-edited with CRISPR.

Result of the ongoing trial, which is the first to use CRISPR to treat inherited genetic disorders, were announced today at a virtual meeting of the European Hematology Association.

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“We have a researcher who was removed by the RCMP from the highest security laboratory that Canada has for reasons that government is unwilling to disclose. The intelligence remains secret. But what we know is that before she was removed, she sent one of the deadliest viruses on Earth, and multiple varieties of it to maximize the genetic diversity and maximize what experimenters in China could do with it, to a laboratory in China that does dangerous gain of function experiments. And that has links to the Chinese military.”

Gain of function experiments are when a natural pathogen is taken into the lab, made to mutate, and then assessed to see if it has become more deadly or infectious.

Most countries, including Canada, don’t do these kinds of experiments — because they’re considered too dangerous, Attaran said.

Newly-released access to information documents reveal details about a shipment of deadly pathogens last year from Canada’s National Microbiology Lab to China — confirming for the first time who sent them, what exactly was shipped, and where it went.

The virus shipments are not related to the outbreak of COVID-19 or research into the pandemic, Canadian officials said.

CBC News had already reported about the shipment of Ebola and Henipah viruses but there’s now confirmation one of the scientists escorted from the lab in Winnipeg amid an RCMP investigation last July was responsible for exporting the pathogens to the Wuhan Institute of Virology four months earlier.

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A team of scientists from the Wellcome Sanger Institute, the Francis Crick Institute, and EMBL-EBI has created a comprehensive structural variation atlas for a geographically diverse set of human genomes and recovered sequences missing from the human reference sequence. Among the 126,018 structural variations discovered by the team were medically-important genes in Oceanian populations that were inherited from Denisovans, a sister group to Neanderthals.

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