Staphylococcus aureus is one of the bacteria frequently found in human and animal infections, particularly mastitis. An international research team coordinated by INRAE and involving ENS Paris-Saclay has discovered that it is much more robust and virulent in milk than in serum or laboratory culture media. Their findings, published in Communications Biology, show that S. aureus uses milk lipids to form an envelope that is about three times thicker, making it much more resistant to antibiotic treatment. The bacteria also produce more of the pigment responsible for their golden colour, increasing their virulence during infection. The remarkable robustness of S. aureus in milk may mean that antibiotic treatment protocols for mastitis need to be adapted when milk is abundant, in both humans and animals.

A new grant awarded to UC San Diego and the University of Vermont will enable the construction of a national biological observatory, which will empower new discoveries in neurosciences and basic biology.

Whether in drug discovery, environmental analysis or metabolomics: anyone analysing complex biological samples often needs to identify the small molecules they contain. Researchers at Friedrich Schiller University Jena, in collaboration with partners from the Helmholtz Zentrum München and the Technical University of Munich, have developed a method that addresses a problem in analytical Chemistry that has persisted for decades. In the latest issue of the journal »Nature Methods«, the team led by bioinformatician Prof. Dr Sebastian Böcker presents its new tool.

Researchers used GPS data from 172 jaguars to identify priority habitats and potential movement corridors across the species' range, revealing a vast connected South American stronghold but also substantial connectivity gaps in several regions outside the Amazon.

Saturn’s icy moon Enceladus might be more supportive of life than was previously thought. An LMU study reveals that microorganisms could survive in its hidden ocean.

KANAZAWA, Japan — Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at single-cell resolution. But comparing two such maps is difficult: thin slices of tissue may be rotated, stretched, or otherwise distorted, so equivalent regions do not automatically line up.

Researchers at Kanazawa University and Sapienza University of Rome have developed a computational method that aligns these maps directly from the individual measurement locations and their gene-activity values. Called Domain Elastic Transform (DET), it smoothly reshapes one digital map to match another without first converting the measurements into a regular grid of pixels.

The research, led by Osamu Hirose of Kanazawa University in collaboration with Emanuele Rodolà of Sapienza University of Rome, was published online in IEEE Transactions on Pattern Analysis and Machine Intelligence on September 15, 2026.