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Researchers are shining a light on cancer cells’ energy centers—literally—to damage these power sources and trigger widespread cancer cell death. In a new study, scientists combined strategies to deliver energy-disrupting gene therapy using nanoparticles manufactured to zero in only on cancer cells. Experiments showed the targeted therapy is effective at shrinking glioblastoma brain tumors and aggressive breast cancer tumors in mice.

The research team overcame a significant challenge to break up structures inside these cellular energy centers, called mitochondria, with a technique that induces light-activated electrical currents inside the cell. They named the technology mLumiOpto.

“We disrupt the membrane, so mitochondria cannot work functionally to produce energy or work as a signaling hub. This causes programmed followed by DNA damage—our investigations showed these two mechanisms are involved and kill the ,” said co-lead author Lufang Zhou, professor of biomedical engineering and surgery at The Ohio State University. “This is how the technology works by design.”

Researchers at the University of Sydney Nano Institute have made a significant advance in the field of molecular robotics by developing custom-designed and programmable nanostructures using DNA origami.

This innovative approach has potential across a range of applications, from targeted drug delivery systems to responsive materials and energy-efficient optical signal processing. The method uses ‘DNA origami’, so-called as it uses the natural folding power of DNA, the building blocks of human life, to create new and useful biological structures.

As a proof-of-concept, the researchers made more than 50 nanoscale objects, including a ‘nano-dinosaur’, a ‘dancing robot’ and a mini-Australia that is 150 nanometres wide, a thousand times narrower than a human hair.

Originally published on Towards AI.

In the evolving landscape of artificial intelligence, data remains the fuel that powers innovation. But what happens when acquiring real-world data becomes challenging, expensive, or even impossible?

Enter synthetic data generation — a groundbreaking technique that leverages language models to create high-quality, realistic datasets. Consider training a language model on medical records without breaching privacy laws, or developing a customer interaction model without access to private conversation logs, or designing autonomous driving systems where collecting data on rare edge cases is nearly impossible. Synthetic data bridges gaps in data availability while maintaining the realism needed for effective AI training.

“So when we’re talking about mirror-image life, it’s kind of like a ‘what if’ experiment: What if we constructed life with right-handed proteins instead of left-handed proteins? Something that would be very, very similar to natural life, but doesn’t exist in nature. We call this mirror-image life or mirror life,” explained to Michael Kay, a professor of biochemistry at University of Utah’s medical school.

Some scientists like Kay are interested in the medical possibilities of mirror-image therapeutics—which Kay says holds potential for treating chronic illness in a more cost-effective way—but both he and the authors of the recently published commentary are concerned about the potential threats posed by mirror bacteria.

“Our analysis suggests that mirror bacteria could broadly evade many immune defenses of humans, animals, and plants. Chiral interactions, which are central to immune recognition and activation in multicellular organisms, would be impaired with mirror bacteria,” according to the scientists.

Microorganisms produce a wide variety of natural products that can be used as active ingredients to treat diseases such as infections or cancer. The blueprints for these molecules can be found in the microbes’ genes, but often remain inactive under laboratory conditions.

A team of researchers at the Helmholtz Institute for Pharmaceutical Research Saarland (HIPS) has now developed a genetic method that leverages a natural bacterial mechanism for the transfer of genetic material and uses it for the production of new active ingredients. The team has published its results in the journal Science.

In contrast to humans, bacteria have the remarkable ability to exchange genetic material with one another. A well-known example with far-reaching consequences is the transfer of antibiotic resistance between bacterial pathogens. This gene transfer allows them to adapt quickly to different environmental conditions and is a major driver of the spread of antibiotic resistance.

Astrocytes are star-shaped glial cells in the central nervous system that support neuronal function, maintain the blood-brain barrier, and contribute to brain repair and homeostasis. The evolution of these cells throughout the progression of Alzheimer’s disease (AD) is still poorly understood, particularly when compared to that of neurons and other cell types.

Researchers at Massachusetts General Hospital, the Massachusetts Alzheimer’s Disease Research Center, Harvard Medical School and Abbvie Inc. set out to fill this gap in the literature.

Their paper, published in Nature Neuroscience, provides one of the most detailed accounts to date of how different astrocyte subclusters respond to AD across different brain regions and disease stages, providing valuable insights into the cellular dynamics of the disease.

Scientists from Karlsruhe Institute of Technology (KIT) and the Indian Institute of Technology Guwahati (IITG) have developed a surface material that repels water droplets almost completely. Using an entirely innovative process, they changed metal-organic frameworks (MOFs)—artificially designed materials with novel properties—by grafting hydrocarbon chains.

The resulting superhydrophobic (extremely water-repellent) properties are interesting for use as self-cleaning surfaces that need to be robust against environmental influences, such as on automobiles or in architecture. The study was published in the journal Materials Horizons.

MOFs () are composed of metals and organic linkers that form a network with empty pores resembling a sponge. Their volumetric properties—unfolding two grams of this material would yield the area of a football pitch—make them an interesting material in applications such as gas storage, carbon dioxide separation, or novel medical technologies.

Australian-led research is unlocking new ways for immunotherapy to better target cancer. Cancer immunotherapy has revolutionized treatment for patients, whereby the body’s own immune system is harnessed to destroy cancer cells.

Typically, several molecules restrain the ability of T cells to target cancer cells and developing approaches to limit this restraining effect can lead to improved effectiveness of cancer immunotherapy.

Research published in Science Immunology has determined the structure of how an inhibitory molecule, LAG3, interacts with its main ligand and provides a new targeted approach to improving the effectiveness of immunotherapy for certain forms of cancer.

The new study focused on Wnt7a, a protein essential for development, growth, regeneration, and cancer. “Researchers have been trying for years to turn Wnt7a into a muscle regeneration drug, but it is very difficult to deliver Wnt7a throughout the body, since it is covered in fatty molecules that don’t mix well with body fluid,” said first author Uxia Gurriaran-Rodriguez, PhD, Center for Cooperative Research in Biosciences (CIC bioGUNE).

Wnt7a was identified as a long-distance signaling molecule found on the surface of exosomes following muscle injury. Due to its many hydrophobic components, it was necessary to isolate smaller portions of the Wnt7a protein to determine the smallest functional segment required for attachment to an exosome. Through selective deletion of various components of Wnt7a, the team found the smallest functional segment needed for exosome binding.

This segment turned out to be an 18-amino-acid sequence, which the team termed Exosome Binding Peptide (EBP). The team found that “addition of EBP to an unrelated protein directed secretion on extracellular vesicles.” EBP binds to coatomer proteins, proteins that coat membrane-bound transport vesicles, on exosomes, and through follow-up structural experiments, the team determined this is a conserved function across the Wnt protein family. EBP can be used to direct other proteins to exosomes, effectively allowing for targeted delivery of exosomes and their contents.

Scientists from the Kavli Institute of Delft University of Technology and the IMP Vienna Biocenter have discovered a new property of the molecular motors that shape our chromosomes. While six years ago they found that these so-called SMC motor proteins make long loops in our DNA, they have now discovered that these motors also put significant twists into the loops that they form.

These findings help us better understand the structure and function of our chromosomes. They also provide insight into how disruption of twisted DNA looping can affect health—for instance, in developmental diseases like “cohesinopathies.” The scientists published their findings in Science Advances.

Imagine trying to fit two meters of rope into a space much smaller than the tip of a needle—that’s the challenge every cell in your body faces when packing its DNA into its tiny nucleus. To achieve this, nature employs ingenious strategies, like twisting the DNA into coils of coils, so-called “supercoils” and wrapping it around special proteins for compact storage.