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Uncovering the nature of emergent magnetic monopoles

Scientists have discovered unique periodic structures in manganese germanide that behave like magnetic monopoles and antimonopoles. The researchers studied the collective excitation modes of these structures, revealing a way to experimentally determine their spatial configuration.

SourceWaseda University·JournalPhysical Review Letters·TypeComputational simulation/modeling·DateJun 12, 2024

Looking to AI to solve antibiotic resistance

A team of researchers at Penn has developed an artificial intelligence tool that can mine the vast and largely unexplored biological data from over 10 million molecules to discover new candidates for antibiotics. The deep learning approach identified thousands of candidates in just a few hours, with many showing preclinical potential.

SourceUniversity of Pennsylvania·JournalNature·TypeComputational simulation/modeling·DateJun 11, 2024

A mountainous mystery uncovered in SA’s pink sands

A University of Adelaide research team used a new method to date garnet grains in South Australian pink sand, revealing they are around 590 million years old. This age does not match local geological events, suggesting the garnet originated from an unknown ancient Antarctic mountain belt beneath the ice sheet.

SourceUniversity of Adelaide·JournalCommunications Earth & Environment·DateJun 11, 2024

New technique could help build quantum computers of the future

Researchers have developed a method to create and control optical qubits in silicon with high precision, enabling the fabrication of reliable quantum computers. This breakthrough could advance quantum computing and networking capabilities, paving the way for breakthroughs in human health, drug discovery, and artificial intelligence.

SourceDOE/Lawrence Berkeley National Laboratory·JournalNature Communications·TypeExperimental study·DateJun 11, 2024

Adding genetic information to health checks improves identification of people at risk of heart attacks and strokes

Researchers have discovered a better way to identify those at high risk of potential heart attacks and strokes by adding genetic information to health checks. The study found that combining clinical risk scores with polygenic risk scores significantly improves identification rates, especially among younger people.

SourceUniversity of Leicester·JournalEuropean Heart Journal·TypeData/statistical analysis·DateJun 11, 2024

Pennington Biomedical Research Center recruiting participants for lipedema research study

The Pennington Biomedical Research Center is conducting a clinical trial to better understand lipedema. Participants will undergo comprehensive assessments and imaging techniques to help advance medical knowledge related to chronic disease. Compensation of up to $475 is offered for participation in the three-month study.

SourcePennington Biomedical Research Center·TypeObservational study·DateJun 11, 2024

Super-chilled brain cell molecules reveal how epilepsy drug works

Scientists at Johns Hopkins Medicine have discovered the mechanism of action of the widely-used epilepsy drug perampanel, which targets the AMPA receptor to dampen brain cell excitability. The study provides new insights into the potential applications of perampanel in treating other neurological conditions such as Alzheimer’s disease,...

SourceJohns Hopkins Medicine·JournalNature Structural & Molecular Biology·DateJun 10, 2024

Advances in omics research of rosaceae

The study highlights significant advancements in genome sequencing, transcriptome, proteomics, and metabolomics in Rosaceae plants. Multi-omics joint analysis has elucidated complex genetic and biochemical networks regulating important traits.

SourceMaximum Academic Press·JournalOrnamental Plant Research·TypeExperimental study·DateJun 7, 2024

Study identifies potential pathway to reducing breast cancer brain metastases

A study led by researchers from the University of Arizona Cancer Center identified a biological mechanism that could lead to more effective treatments for breast cancer that has metastasized to the brain. By targeting the autophagy pathway, the researchers were able to disrupt breast cancer cells' ability to form brain metastases.

SourceUniversity of Arizona Health Sciences·JournalClinical and Translational Medicine·TypeRandomized controlled/clinical trial·DateJun 6, 2024

How a protein component of nuclear pore complexes regulates development of blood cells and may contribute to myeloid disorders

A recent study has identified Nup358 as a critical regulator of myeloid cell development, revealing its role in the differentiation process of early progenitors. The findings provide insights into how alterations in Nup358 contribute to blood malignancies and may lead to novel therapies targeting transport machinery like NPCs.

SourceSanford Burnham Prebys·JournalScience Advances·TypeExperimental study·DateJun 5, 2024

Slow-spinning radio neutron star breaks all the rules

Astronomers from the University of Sydney and CSIRO have detected a slow-spinning neutron star with a period of nearly an hour, breaking all known rules. This discovery provides new insights into the complex life cycles of stellar objects and may prompt a reconsideration of our understanding of neutron stars or white dwarfs.

SourceUniversity of Sydney·JournalNature Astronomy·TypeObservational study·DateJun 4, 2024

Cracking the aging code: Insights into lipid changes

The study reveals age-related changes in lipid metabolism, including increased BMP-type lipids in kidneys and liver, and sex-specific differences in galactosylceramide levels. These findings may lead to better understanding of chronic diseases and the development of targeted treatments.

SourceRIKEN·JournalNature Aging·TypeExperimental study·DateJun 3, 2024

LJI scientists develop new method to match genes to their molecular 'switches'

Researchers at La Jolla Institute for Immunology developed a computational method to link gene activity to molecular marks on DNA, potentially aiding in the detection of solid tumors and more accurate cancer diagnoses. This new approach utilizes machine learning tools to identify connections between genes and enhancers in the genome.

SourceLa Jolla Institute for Immunology·JournalGenome Biology·TypeComputational simulation/modeling·DateJun 3, 2024