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Selenoproteins are crucial for several biological functions, including the breakdown of harmful substances, immune system support, and regulating metabolic processes. However, in specific contexts, these proteins can be misused and shield cancer cells from death. One such protein, glutathione peroxidase 4 (GPX4), is vital in supporting cellular protection and cancer cell survival.

“This protective property of GPX4 creates a significant challenge for standard cancer therapies, as its activity has been shown to promote survival of drug-tolerant states,” says Professor Pedro Friedmann Angeli, chair of Translational Cell Biology at the University of Würzburg (JMU), Germany.

“But if we can inhibit GPX4 production, we may be able to target and destroy . This is particularly promising for treating neuroblastoma, which primarily affects children.”

Water, a molecule essential for life, exhibits unusual properties—referred to as anomalies—that define its behavior. Despite extensive study, many mysteries remain about the molecular mechanisms underlying these anomalies that make water unique. Deciphering and replicating this distinctive behavior across various temperature ranges remains a significant challenge for the scientific community.

Now, a study presents a new theoretical model capable of overcoming the limitations of previous methodologies to understand how water behaves in extreme conditions. The paper, featured on the cover of The Journal of Chemical Physics, is led by Giancarlo Franzese and Luis Enrique Coronas, from the Faculty of Physics and the Institute of Nanoscience and Nanotechnology of the University of Barcelona (IN2UB).

The study not only broadens our understanding of the physics of water, but also has implications for technology, biology and biomedicine, in particular for addressing the treatment of neurodegenerative diseases and the development of advanced biotechnologies.

To determine the type and severity of a cancer, pathologists typically analyze thin slices of a tumor biopsy under a microscope. But to figure out what genomic changes are driving the tumor’s growth—information that can guide how it is treated—scientists must perform genetic sequencing of the RNA isolated from the tumor, a process that can take weeks and costs thousands of dollars.

Now, Stanford Medicine researchers have developed an artificial intelligence-powered computational program that can predict the activity of thousands of genes within based only on standard microscopy images of the biopsy.

The tool, described online in Nature Communications Nov. 14, was created using data from more than 7,000 diverse tumor samples. The team showed that it could use routinely collected biopsy images to predict genetic variations in breast cancers and to predict .

OneSkin, founded by Brazilian PhD scientists in 2016, reports that it has now closed a Series A funding round led by Selva Ventures, together with contributions from PLUS Capital, Unilever Ventures, Able Partners, SOSV, and Meta Planet. This brings the accumulated capital of the firm to 20 million US dollars.

The goal of the OneSkin team is the research and development of topical treatments that promote skin longevity. The brand’s efforts have led to the development of the peptide OS-01, which is claimed to reverse the aging of the skin by preventing the accumulation of “old”, non-dividing senescent cells, as well as shield skin cells from DNA damage. OS-01 is already available on the market in several different products offered by the company.

Senescent cells have been the focus of a significant amount of biogerontological research in recent years. Scientists claim that every cell in the human body has a limited capacity for division, governed by genetic factors. When the cells reach the point in their lifecycle where their ability to divide is permanently halted, they remain in a minimally-functional state in the tissue types they inhabit.

Researchers have developed a robot capable of performing surgical procedures with the same skill as human doctors by training it using videos of surgeries.

The team from Johns Hopkins and Stanford Universities harnessed imitation learning, a technique that allowed the robot to learn from a vast archive of surgical videos, eliminating the need for programming each move. This approach marks a significant step towards autonomous robotic surgeries, potentially reducing medical errors and increasing precision in operations.

Revolutionary Robot Training

Researchers from Baylor College of Medicine, Stanford University School of Medicine, and their collaborators have identified a novel compound called BHB-Phe, which is naturally produced by the body. Published in the journal Cell, their findings reveal that BHB-Phe regulates appetite and body weight by interacting with neurons in the brain.

Until now, BHB has been known as a compound produced by the liver to be used as fuel. However, in recent years, scientists have found that BHB increases in the body after fasting or exercise, prompting interest in investigating potential beneficial applications in obesity and diabetes.

The rod-shaped tuberculosis (TB) bacterium, which the World Health Organization has once again ranked as the top infectious disease killer globally, is the first single-celled organism ever observed to maintain a consistent growth rate throughout its life cycle. These findings, reported by Tufts University School of Medicine researchers on November 15 in the journal Nature Microbiology, overturn core beliefs of bacterial cell biology and hint at why the deadly pathogen so readily outmaneuvers our immune system and antibiotics.

“The most basic thing you can study in bacteria is how they grow and divide, yet our study reveals that the TB pathogen is playing by a completely different set of rules compared to easier-to-study model organisms,” said Bree Aldridge, a professor of molecular biology and microbiology at the School of Medicine and a professor of biomedical engineering at the School of Engineering, as well as one of the paper’s co-senior authors along with Ariel Amir of the Weizmann Institute of Science.

TB bacteria are successful at surviving in humans because some parts of the infection can quickly evolve within their host, allowing these outliers to avoid detection or resist treatment. If someone has TB, it takes months of various antibiotics to be cured, and even then, this approach is only successful in 85% of patients. Aldridge and her colleagues hypothesize that gaps in our understanding of the basic biology behind this phenomenon have been holding back the development of more effective treatments.

A new drug strategy that regulates the tumor immune microenvironment may transform a tumor that resists immunotherapy into a susceptible one, according to a study by researchers from the Johns Hopkins Kimmel Cancer Center and Oregon Health & Science University.

The immune microenvironment around a pancreatic tumor has suppressed immune activity, allowing the tumor to evade attacks by the immune system. The cancer evades the immune system by attracting suppressive cells into the tumor, which limits access of tumor-killing T cells. Because of that so-called immune desert environment, pancreatic ductal adenocarcinoma (PDA), the most common type of pancreatic cancer, has been resistant to immune-based therapies that have successfully treated a variety of other cancers, including melanoma and lung cancer.

In a phase 2 clinical trial, a research team led by Nilofer Azad, M.D., professor of oncology and co-leader of the Kimmel Cancer Center’s Cancer Genetics and Epigenetics Program, and Marina Baretti, M.D., the Jiasheng Chair in Hepato-Biliary Cancer at the Kimmel Cancer Center, tested the safety and efficacy of the combination of two drugs: an immunotherapy, nivolumab, and an epigenetic drug, entinostat — a histone deacetylase inhibitor (HDACi). The combination was studied in a group of 27 patients with advanced PDA who had previously been treated with chemotherapy.