Lifeboat Foundation

Centenarians, once considered rare, have become commonplace. Indeed, they are the fastest-growing demographic group of the world’s population, with numbers roughly doubling every ten years since the 1970s.

How long humans can live, and what determines a long and healthy life, have been of interest for as long as we know. Plato and Aristotle discussed and wrote about the ageing process over 2,300 years ago.

The pursuit of understanding the secrets behind exceptional longevity isn’t easy, however. It involves unravelling the complex interplay of genetic predisposition and lifestyle factors and how they interact throughout a person’s life.

Researchers from Tohoku University and Kyoto University have successfully developed a DNA-based molecular controller that autonomously directs the assembly and disassembly of molecular robots. This pioneering technology marks a significant step towards advanced autonomous molecular systems with potential applications in medicine and nanotechnology.

Details of the breakthrough were published in the journal Science Advances (“Autonomous assembly and disassembly of gliding molecular robots regulated by a DNA-based molecular controller”).

“Our newly developed molecular controller, composed of artificially designed DNA molecules and enzymes, coexists with molecular robots and controls them by outputting specific DNA molecules,” points out Shin-ichiro M. Nomura, an associate professor at Tohoku University’s Graduate School of Engineering and co-author of the study. “This allows the molecular robots to self-assemble and disassemble automatically, without the need for external manipulation.”

This review spotlights the revolutionary role of deep learning (DL) in expanding the understanding of RNA is a fundamental biomolecule that shapes and regulates diverse phenotypes including human diseases. Understanding the principles governing the functions of RNA is a key objective of current biology. Recently, big data produced via high-throughput experiments have been utilized to develop DL models aimed at analyzing and predicting RNA-related biological processes. This review emphasizes the role of public databases in providing these big data for training DL models. The authors introduce core DL concepts necessary for training models from the biological data. By extensively examining DL studies in various fields of RNA biology, the authors suggest how to better leverage DL for revealing novel biological knowledge and demonstrate the potential of DL in deciphering the complex biology of RNA.

This summary was initially drafted using artificial intelligence, then revised and fact-checked by the author.

Future missions to Mars were not ruled out, though the scientists said that measures to protect the kidneys would need to be developed to avoid serious harm to astronauts. Methods of recovery could also be introduced onboard spacecraft, such as dialysis machines.

“We know what has happened to astronauts on the relatively short space missions conducted so far, in terms of an increase in health issues such as kidney stones,” said Dr Keith Siew, first author of the study from the London Tubular Centre, based at the UCL Department of Renal Medicine.

What we don’t know is why these issues occur, nor what is going to happen to astronauts on longer flights such as the proposed mission to Mars. If we don’t develop new ways to protect the kidneys, I’d say that while an astronaut could make it to Mars they might need dialysis on the way back.

Gene expression is inherently dynamic, due to complex regulation and stochastic biochemical events. Here the authors train a deep neural network to predict and dynamically control gene expression in thousands of individual bacteria in real-time which they then apply to control antibiotic resistance and study single-cell survival dynamics.

Immunizing enormous numbers of wild mice, however, is prohibitively difficult. By using genetic engineering, researchers could create white-footed mice that produced these antibodies from birth and could pass this ability on to their offspring. But did the island residents want to live with genetically engineered mice?

The answer was perhaps, but with caveats. In consulting with communities on this technology development, researchers found that community members preferred a cisgenic approach: They wanted white-footed mice that were engineered with DNA only from other white-footed mice.¹⁸ This would make the project more difficult for the researchers, and meant that a CRISPR-based gene drive, even one with limited spread, could not be used, since no white-footed mouse naturally has this gene-editing system. However, said Esvelt, “It’s their environment, so it’s their call.”

“We’re potentially causing an irreversible change to the environment,” said Telford. “We need to think about informed consent of the community as a proxy for informed consent of the environment. That’s been a real advance and something [that Esvelt] has pioneered—involving the communities from the very start.”

Find out more about the link between how oral bacteria can alter the balance between health and disease beyond the oral cavity.

“We need a defined framework, but instead what we see here is a fairly wild race between labs,” one journal editor told me during the ISSCR meeting. “The overarching question is: How far do they go, and where do we place them in a legal-moral spectrum? How can we endorse working with these models when they are much further along than we were two years ago?”

So where will the race lead? Most scientists say the point of mimicking the embryo is to study it during the period when it would be implanting in the wall of the uterus. In humans, this moment is rarely observed. But stem-cell embryos could let scientists dissect these moments in detail.

Yet it’s also possible that these lab embryos turn out to be the real thing—so real that if they were ever transplanted into a person’s womb, they could develop into a baby.

This study provides new insights into metformin’s effect on the molecular mechanisms inside cells and why it reduces proliferation of cancer cells, emphasising the role of miRNAs in colorectal cancer.

The authors suggest their findings highlight the potential for developing RNA therapeutics for cancer prevention and treatment and possibly for targeted interventions. Although there are several challenges in the field of miRNA therapeutics, this study could signal another step in their development as potential cancer treatments.