Close-up photo of graying hair with overlaid stem cells, illustrating study on stress links to graying and melanoma.

Study links graying hair and melanoma to stress responses in pigment stem cells

Heather Vogel AI द्वारा उत्पन्न छवि तथ्य-जाँच किया गया

Japanese researchers report that hair graying and melanoma can arise from the same melanocyte stem cells, which take different paths depending on DNA damage and local signals. Published online October 6, 2025 in Nature Cell Biology, the University of Tokyo-led study outlines a protective differentiation program that promotes graying and how carcinogens can subvert it to favor melanoma.

Naked mole-rats' cGAS mutations enhance DNA repair and longevity

Scientists have uncovered how naked mole-rats achieve exceptional longevity through subtle changes in a key immune protein. These mutations in the enzyme cGAS improve DNA repair, potentially explaining why the rodents live up to 40 years. The findings, tested in fruit flies, suggest broader implications for understanding aging.

QUT scientists reveal coral attachment process for reef restoration

Researchers at Queensland University of Technology have discovered a three-phase biological process that allows coral fragments to reattach to reefs, offering new insights for global restoration efforts. The study, published in Royal Society Open Science, highlights species-specific differences that affect attachment speed and strength. This finding could help predict which corals will recover best in damaged ecosystems.

Scientists uncover universal thermal performance curve for all life

Researchers at Trinity College Dublin have discovered a universal thermal performance curve that governs how every living organism responds to temperature changes. This pattern, applicable from bacteria to fish, shows performance peaks at an optimal temperature before sharply declining, highlighting limits to adaptation in a warming world. The findings, published in PNAS, suggest evolution cannot escape this fundamental rule.

Flatworm stem cells respond to distant cues, study finds

Heather Vogel तथ्य-जाँच किया गया

Planarian flatworms regenerate lost body parts using stem cells steered by signals from far‑off tissues rather than nearby neighbors, research published in Cell Reports on October 15, 2025, suggests—reframing how niches regulate stem cells and hinting at future approaches to tissue repair.

Images show rifampicin's effects on E. coli bacteria

Scientists have captured the first detailed images revealing how the common antibiotic rifampicin disrupts E. coli bacteria at a molecular level. Using advanced cryo-electron tomography, researchers visualized the drug binding to bacterial machinery, halting growth. The findings, published in Nature, offer new insights into antibiotic mechanisms.

Photosynthesis Supercomplex Found in Ocean

A swirling supercomplex that captures ocean light for photosynthesis was detailed in a scientific publication on September 11, 2025. This discovery enhances understanding of marine algal energy processes. It was featured in the latest issue of a prominent science magazine.

Researchers discover quantum effects in bird navigation

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A new study from the University of Oxford reveals that birds may use quantum entanglement to sense Earth's magnetic field for navigation. The findings, published in Nature, challenge classical explanations of avian migration. This breakthrough opens doors to understanding quantum processes in biology.

Algae pigment siphonein protects against sunlight damage

Marine green algae have evolved a pigment called siphonein that shields their photosynthetic machinery from intense sunlight. Researchers from Osaka Metropolitan University discovered how this carotenoid efficiently quenches harmful energy states. The finding could inspire more durable solar technologies.

Researchers develop AI model for precise protein structure prediction

AI द्वारा रिपोर्ट किया गया

Scientists have unveiled a new artificial intelligence model that predicts protein structures with unprecedented accuracy. The breakthrough, detailed in a recent study, could transform drug discovery and biotechnology. Developed by a team at the University of Cambridge, the model leverages advanced machine learning techniques.

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