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Today, we have launched the MitoMouse project on our fundraising platform Lifespan.io. This project aims to reverse the damage that aging does to the mitochondrial DNA and to restore energy production in our cells with the goal of preventing age-related ill health.

The power stations of the cell

The mitochondria are the power stations of every single cell in our bodies, and they are responsible for converting the nutrients we absorb into energy. The mitochondria are so efficient at doing this that they are responsible for around 90% of the energy that our cells need to function and survive.

A role for the gut microbiome on the health and functioning of many tissues, including the brain, liver, kidney, and adiposity, has been widely reported in the literature. Interestingly, 2019 might be the year that the role of the gut microbiome on skeletal muscle (i.e. the gut-muscle axis) comes into greater focus.

The influence of the gut microbiome on muscle strength

In April, Nay et al. reported that endurance exercise capacity was reduced in mice that do not contain a microbiome (germ-free mice, GFM) when compared with conventionally raised, microbiome-containing mice. This finding suggests that there are microbes in the gut that positively influence aerobic exercise performance.

Checkerspot, a biotech startup using microalgae to produce performance materials, announced today that it has closed its Series A financing for $13 million. The round was led by Builders VC, and included Breakout Ventures, Viking Global Investors, KdT Ventures, Plug and Play Ventures, Sahsen Ventures, and Godfrey Capital, among others.

Checkerspot combines bioengineering, chemistry, and materials science to go from microalgae to next-generation performance materials.

“This is a pretty significant milestone for us,” said Checkerspot CEO Charles Dimmler. He said the funding would support the company’s continued infrastructure development, as well as ongoing commercial activities with Beyond Surface Technologies and DIC that focus on novel triglycerides and polyols. He also said it would help complete the development of a direct-to-consumer product later this year.

When I imagine the inner workings of a robot, I think hard, cold mechanics running on physics: shafts, wheels, gears. Human bodies, in contrast, are more of a contained molecular soup operating on the principles of biochemistry.

Yet similar to robots, our cells are also attuned to mechanical forces—just at a much smaller scale. Tiny pushes and pulls, for example, can urge stem cells to continue dividing, or nudge them into maturity to replace broken tissues. Chemistry isn’t king when it comes to governing our bodies; physical forces are similarly powerful. The problem is how to tap into them.

In a new perspectives article in Science, Dr. Khalid Salaita and graduate student Aaron Blanchard from Emory University in Atlanta point to DNA as the solution. The team painted a futuristic picture of DNA mechanotechnology, in which we use DNA machines to control our biology. Rather than a toxic chemotherapy drip, for example, a cancer patient may one day be injected with DNA nanodevices that help their immune cells better grab onto—and snuff out—cancerous ones.

A team including evolutionary biologists from the University of Toronto (U of T) have identified the ways in which herbicide-resistant strains of an invasive weed named common waterhemp have emerged in fields of soy and corn in southwestern Ontario.

They found that the resistance—which was first detected in Ontario in 2010—has spread thanks to two mechanisms: first, pollen and seeds of resistant plants are physically dispersed by wind, water and other means; second, resistance has appeared through the spontaneous emergence of resistance mutations that then spread.

The researchers found evidence of both mechanisms by comparing the genomes of herbicide-resistant plants from Midwestern U.S. farms with the genomes of plants from Southern Ontario.

SAN FRANCISCO—( )—Twist Bioscience Corporation (NASDAQ: TWST), a company enabling customers to succeed through its offering of high-quality synthetic DNA using its silicon platform, today announced that it has entered into an agreement with Imagene SA, where Imagene will provide Twist with an encapsulation service to store DNA through its DNAshell® technology to store digital data encoded in DNA for thousands of years.

“We are happy to be partnering with Twist and providing them with our disruptive DNAshell® technology to safely store DNA with digital data encoded.” Tweet this

“This agreement with Imagene provides the next step in the continuum on DNA digital data storage and fits within our strategy to cover all aspects of the process efficiently to enable the development of DNA as a digital storage medium,” commented Emily Leproust, Ph.D., CEO of Twist Bioscience. “We believe the DNAshell ® technology allows us to encapsulate the DNA-stored digital data securely, protecting it for eternity from any elements including radiation, and eliminating the need for continued copying of digital data due to degradation experienced in other forms of storage today.”

The trawl found 20,500 articles tackling the topic, but shockingly, less than 1 percent of them were scientifically robust enough to be confident in their claims, say the authors. Of those, only 25 tested their deep learning models on unseen data, and only 14 actually compared performance with health professionals on the same test sample.

Nonetheless, when the researchers pooled the data from the 14 most rigorous studies, they found the deep learning systems correctly detected disease in 87 percent of cases, compared to 86 percent for healthcare professionals. They also did well on the equally important metric of excluding patients who don’t have a particular disease, getting it right 93 percent of the time compared to 91 percent for humans.

Ultimately, then, the results of the review are broadly positive for AI, but damning of the hype that has built up around the technology and the research practices of most of those trying to apply it to medical diagnosis.