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Magnetic fields power smarter soft robots with built-in intelligence

Soft robots are prized for their agility and gentle touch, which makes them ideal for traversing delicate or enclosed spaces to perform various tasks, from cultivating baby corals in laboratories to inspecting industrial pipes in chemical plants. However, achieving embodied intelligence in such systems, where sensing, movement and power supply work together in an untethered configuration, remains a challenge.

Flexible materials can deform and adapt, but their power sources are unable to do so. Conventional batteries often stiffen the robot’s body, drain quickly, or degrade under strain, all of which leave soft robots tethered or with a short lifespan.

Assistant Professor Wu Changsheng and his team from the Department of Materials Science and Engineering and the Department of Electrical and Computer Engineering, College of Design and Engineering, National University of Singapore, found a way to turn that limitation into an advantage. Their study, published in Science Advances, demonstrates that the same magnetic fields used to control soft robots can also enhance the performance of the batteries inside them.

Why important genes ‘go quiet’ as we get older

The human gut renews itself faster than any other tissue: every few days, new cells are created from specialized stem cells. However, as we get older, epigenetic changes build up in these stem cells. These are chemical markers on the DNA that act like switches, determining which genes remain active.

The study, recently published in Nature Aging, was conducted by an international team led by Prof. Francesco Neri from the University of Turin, Italy, and shows that changes in the gut do not occur randomly. Rather, a specific pattern develops over the course of aging, which the researchers refer to as ACCA (Aging-and Colon Cancer-Associated) drift. “We observe an epigenetic pattern that becomes increasingly apparent with age,” explains Prof. Neri, former group leader at the Leibniz Institute on Aging—Fritz Lipmann Institute in Jena.

Genes that maintain the balance in healthy tissue are particularly affected, including those that control the renewal of the intestinal epithelium via the Wnt signaling pathway. The changes described as “drifting” can be detected not only in the aging gut, but also in almost all colon cancer samples examined. This suggests that the aging of stem cells creates an environment that promotes the development of cancer.

Aging Scrambles Brain Proteins — And Diet Could Partly Reverse It

As we get older, our brains start to change in ways that make them increasingly vulnerable to disease – and a detailed new study of these changes points to a way some of this wear and tear might be prevented or reversed.

Researchers from the Leibniz Institute on Aging – Fritz Lipmann Institute in Germany used mass spectrometry to analyze the balance of brain proteins in both young and old mice, finding differences in a process called ubiquitylation as the animals aged.

Ubiquitylation adds chemical tags to proteins, telling the brain which of these busy molecules are past their peak and should be recycled. In older mouse brains, the ubiquitylation tags really start to pile up on certain proteins.

Artificial membranes mimic life-like dynamics through catalytic chemical reactions

Using catalytic chemistry, researchers at Institute of Science Tokyo have achieved dynamic control of artificial membranes, enabling life-like membrane behavior. The work is published in the Journal of the American Chemical Society.

By employing an artificial metalloenzyme that performs a ring-closing metathesis reaction, the team induced the disappearance of phase-separated domains as well as membrane division in artificial membranes, imitating the dynamic behavior of natural biological membranes. This transformative research marks a milestone in synthetic cell technologies, paving the way for innovative therapeutic breakthroughs.

X-Ray Imaging Uncovers Hidden Structures in Liquid-Metal-Grown Crystals

The delicate internal structure of platinum crystals growing in liquid metal has been revealed, according to new research employing a powerful X-ray technique that reveals new implications for quantum computing.

UNSW Professor Kourosh Kalantar-Zadeh, with the University of New South Wales (UNSW), led the study, which was reported in a recent paper in Nature Communications. The team behind the project has a history of specializing in exploiting liquid metals to produce new materials and green catalysts that improve industrial chemical reactions.

DNA transcription is a tightly choreographed event: How RNA polymerase II regulates the dance

Life’s instructions are written in DNA, but it is the enzyme RNA polymerase II (Pol II) that reads the script, transcribing RNA in eukaryotic cells and eventually giving rise to proteins. Scientists know that Pol II must advance down the gene in perfect sync with other biological processes; aberrations in the movement of this enzyme have been linked to cancer and aging. But technical hurdles prevented them from precisely determining how this important molecular machine moves along DNA, and what governs its pauses and accelerations.

A new study fills in many of those knowledge gaps. In a paper published in Nature Structural & Molecular Biology, researchers used a single-molecule platform to watch individual mammalian transcription complexes in action. The result is a clear view of how this molecular engine accelerates, pauses, and shifts gears as it transcribes genetic information.

“What’s really striking is how this machine functions almost like a finely tuned automobile,” says Shixin Liu, head of the Laboratory of Nanoscale Biophysics and Biochemistry. “It has the equivalent of multiple gears, or speed modes, each controlled by the binding of different regulatory proteins. We figured out, for the first time, how each gear is controlled.”

Pesticides and other common chemical pollutants are toxic to ‘good’ gut bacteria, lab-based screening indicates

A large-scale laboratory screening of human-made chemicals has identified 168 chemicals that are toxic to bacteria found in the healthy human gut. These chemicals stifle the growth of gut bacteria thought to be vital for health. The research, including the new machine learning model, is published in the journal Nature Microbiology.

Most of these chemicals, likely to enter our bodies through food, water, and environmental exposure, were not previously thought to have any effect on bacteria.

As the bacteria alter their function to try and resist the chemical pollutants, some also become resistant to antibiotics such as ciprofloxacin. If this happens in the human gut, it could make infections harder to treat.

Cellular senescence related gene signature predicts prognosis and immune features in skin cutaneous melanoma

Skin cutaneous melanoma (SKCM) is the deadliest skin cancer, with rising global incidence. Cellular senescence plays an essential role in tumorigenesis, progression, and immune modulation in cancer, however, its role in SKCM prognosis and immunotherapy response remains unclear.

We analyzed 279 senescence-related genes (SRGs) in 469 patients with SKCM from The Cancer Genome Atlas. A cellular senescence-related signature (CSRS) was constructed using univariate and LASSO Cox regression analyses. Kaplan-Meier survival curves and receiver operating characteristic (ROC) analyses were used to evaluate its predictive performance. Consensus clustering based on SRG expression stratified patients into distinct subgroups. External validation was performed using the GSE65904 dataset. We further assessed the association between CSRS, immune cell infiltration, and immunotherapy response. Additionally, immunohistochemistry validated the expression of prognosis-related SRGs and functional assays explored the role of RuvB-like AAA ATPase 2 (RUVBL2) in SKCM cells.

The CSRS effectively stratified patients with SKCM into high-and low-risk groups with significantly different survival outcomes and immune profiles. Moreover, our results suggest that higher levels of cellular senescence may enhance immunosurveillance and promote tumor suppression via a senescence-associated secretory phenotype-dependent mechanism. Based on the expression profiles of 113 SRGs, patients were classified into three distinct clusters, with Cluster 1 associated with the poorest prognosis. Among the identified SRGs, RUVBL2 was markedly upregulated in SKCM cells and its knockdown inhibited cell proliferation.

Using peat as sustainable precursor for fuel cell catalyst materials

Iron-nitrogen-carbon catalysts have the potential to replace the more expensive platinum catalysts currently used in fuel cells. This is shown by a study conducted by researchers from the Helmholtz-Zentrum Berlin (HZB), Physikalisch-Technische Bundesanstalt (PTB) and universities in Tartu and Tallinn, Estonia. The research is published in the journal ACS Nano.

At BESSY II, the team observed the formation of complex microstructures within various samples. They then analyzed which structural parameters were particularly important for fostering the preferred electrochemical reactions. The raw material for such catalysts is well decomposed peat.

Fuel cells convert the chemical energy of hydrogen directly into electrical energy, producing only water. Fuel cells could be an important component in a climate-neutral energy system. The greatest potential for improvement lies in the reduction of costs via the replacement of the electrocatalysts, which are currently based on the precious metal platinum.

When substrates dictate the route: Deuterium source reshapes hydrogen isotope exchange pathways

A collaboration between the groups of Professor Mónica H. Pérez-Temprano at the Institute of Chemical Research of Catalonia (ICIQ) and Professor Anat Milo at Ben-Gurion University of the Negev has uncovered how the characteristics of specific substrates require certain reaction conditions that determine the course of a chemical reaction, in the context of C–H deuteration reactions.

The study, published in Nature Catalysis, combines detailed experiments with data science rooted in reaction intermediates. By correlating molecular features with reaction outcomes, the researchers reveal that the choice of deuterium source—such as heavy water (D2O), deuterated methanol (CD3OD), or acetic acid-d4 (AcOD-d4)—does more than merely influencing the degree of deuterium incorporation. It can actively alter the reaction pathway, revealing hidden mechanistic complexity that intuition alone could not predict.

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