Toggle light / dark theme

Health care providers can use small devices to hover over moles or lesions and immediately check for common skin cancers, such as melanoma and basal cell carcinoma.

The most significant benefit is that health care professionals who do not specialize in dermatology could perform these checks during a routine visit, making early detection easier and quicker.

Skin cancer is the most common form of cancer in the United States, with one in five Americans expected to be affected in their lifetime, according to the City of Hope Cancer Center.

Researchers at Ben-Gurion University of the Negev have developed a machine-learning algorithm that could enhance our understanding of human biology and disease. The new method, Weighted Graph Anomalous Node Detection (WGAND), takes inspiration from social network analysis and is designed to identify proteins with significant roles in various human tissues.

Proteins are essential molecules in our bodies, and they interact with each other in , known as (PPI) networks. Studying these networks helps scientists understand how proteins function and how they contribute to health and disease.

Prof. Esti Yeger-Lotem, Dr. Michael Fire, Dr. Jubran Juman, and Dr. Dima Kagan developed the algorithm to analyze these PPI networks to detect “anomalous” proteins—those that stand out due to their unique pattern of weighted interactions. This implies that the amount of the protein and its protein interactors is greater in that particular network, allowing them to carry out more functions and drive more processes. This also indicates the great importance that these proteins have in a particular network, because the body will not waste energy on their production for no reason.

Individuals who were conceived in colder seasons are more likely to show higher brown adipose tissue activity, increased energy expenditure and a lower body mass index (BMI), and lower fat accumulation around internal organs, compared with those conceived in warmer seasons, suggests a study published in Nature Metabolism. The findings, based on an analysis involving more than 500 participants, indicate a potential role for meteorological conditions influencing human physiology.

Although eating habits and exercise are key indicators of fat loss, exposure to cold and warmth also plays a part. In colder temperatures, the body generates more heat (cold-induced thermogenesis) via brown adipose tissue activity and stores less fat in the form of white adipose tissue than it does in hotter temperatures. However, underlying factors contributing to in brown adipose tissue activity remain poorly understood, particularly in humans.

Takeshi Yoneshiro and colleagues analyzed brown adipose tissue density, activity and thermogenesis in 683 healthy male and female individuals between ages 3 and 78 in Japan, whose parents were exposed to (defined in the study as between 17 October and 15 April) or warm temperatures (between 16 April and 16 October) during the fertilization and birth periods.

R01 CA203108, R01 CA247234 (to ML), and by the William and Ella Owens Medical Research Foundation (to ML). It was also supported in part by the Department of Medicine, the University of Oklahoma Health Sciences Center.

Address correspondence to: Michael S. Bronze, Department of Medicine, The University of Oklahoma Health Sciences Center, 800 Stanton L. Young Blvd. AAT 6,400, Oklahoma City, Oklahoma, 73,104, USA. Phone: 405.271.5428; Email: [email protected]. Or to: Min Li, Department of Medicine, The University of Oklahoma Health Sciences Center, 975 NE 10th Street, BRC 1262A, Oklahoma City, Oklahoma, 73,104, USA. Phone: 405.271.1796; Email: [email protected].

Scientists have transformed RNA, a biological molecule present in all living cells, into a biosensor that can detect tiny chemicals relevant to human health.

Research by Rutgers University-New Brunswick scientists centers on RNA, a nucleic acid that plays a crucial role in most cellular processes. Their work is expected to have applications in the surveillance of environmental chemicals and, ultimately, the diagnosis of critical diseases including neurological and cardiovascular diseases and cancer.

“Imagine that people will go to the hospital and give a sample of cells from their own bodies for regular check-ups,” said Enver Cagri Izgu, an assistant professor in the Department of Chemistry and Chemical Biology in the Rutgers School of Arts and Sciences and the corresponding author of the study.

Scientists have discovered a new phylum of microbes in Earth’s Critical Zone, an area of deep soil that restores water quality. Ground water, which becomes drinking water, passes through where these microbes live, and they consume the remaining pollutants. The paper, “Diversification, niche adaptation and evolution of a candidate phylum thriving in the deep Critical Zone,” is published in the Proceedings of the National Academy of Sciences.

Leonardo da Vinci once said, “We know more about the movement of celestial bodies than about the soil underfoot.” James Tiedje, an expert in microbiology at Michigan State University, agrees with da Vinci. But he aims to change this through his work on the Critical Zone, part of the dynamic “living skin” of Earth.

“The Critical Zone extends from the tops of trees down through the soil to depths up to 700 feet,” Tiedje said. “This zone supports most life on the planet as it regulates essential processes like , water cycling and , which are vital for food production, and ecosystem health. Despite its importance, the deep Critical Zone is a new frontier because it’s a major part of Earth that is relatively unexplored.”

Suming Huang & team show the HoxBlin c long non-coding RNA serves as an oncogenic regulator that controls 3D nuclear organization, chromatin accessibility and gene transcription related to leukemogenesis.

The figure shows H&E staining of sternum and spleen from WT and B-ALL HoxBlin c Tg mice.


1Division of Pediatric Hematology/Oncology, Department of Pediatrics, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA.

2Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.

3Genetics Branch, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA.