Using artificial intelligence to detect images of African leopards and rattlesnakes and freezing samples of endangered marine organisms far below zero degrees Fahrenheit are just some of the ways that new technologies can help protect biodiversity and threatened ecosystems. San Diego State University and San Diego Zoo Wildlife Alliance (SDZWA) announced a partnership to increase the impact of such innovations developed through SDZWA’s research, conservation, and wildlife care initiative

Rice bioengineer Julea Vlassakis has won $1.1M in federal funding for a project researching Ewing sarcoma.

A night without sleep produced increased markers of connections between brain cells, showing that sleep in humans may be important for restoring cellular balance in the brain, according to a study published June 23^rd in the open access journal PLOS Biology by David Elmenhorst from the Forschungszentrum Jülich Institute of Neuroscience and Medicine in North Rhine-Westphalia, Germany, and colleagues.

The environment experienced by young zebrafish influences both the shape and electrical activity of the neurons in the eye, which impacts subsequent behaviour.

Mississippi State scientists are part of an international team investigating when and where cotton was first domesticated. Their findings, recently published in the Proceedings of the National Academy of Sciences, weave together a clearer picture of cotton’s genomic past while offering insight to help improve the crop’s future.

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer’s disease, and other potentially fatal conditions.

Researchers from the University of Waterloo developed the machine learning algorithm, called  RNovA, to detect changes in the proteins in human cells.

The genetic mechanisms regulating the metamorphosis of worker and queen bees from genetically identical insect larvae is poorly understood. A team of researchers recently identified 842 candidate enhancer sequences from 17,349 worker Apis mellifera transcription start sites that may help regulate the development of worker honeybees in this genus’ complex social caste system.

N6‑methyladenosine (m6A) is the most prevalent internal RNA modification, dynamically regulating RNA metabolism and cancer biology. In colorectal cancer (CRC), dysregulated m6A controls tumor growth, metastasis, immune evasion, and therapy resistance. This review integrates evidence on m6A machinery, its coordination with oncogenic signaling (Wnt/β‑catenin, PI3K/Akt, MAPK, p53) and metabolic pathways (glucose, amino acid, lipid), and translational implications. Key regulators include writers (METTL3, METTL14), erasers (FTO, ALKBH5), and readers (YTHDF, IGF2BP families). m6A‑dependent regulation of metabolic enzymes (HK2, PKM2, FASN) links epitranscriptomics to bioenergetic adaptation, positioning m6A as a central hub integrating signaling and metabolism for potential biomarker and targeted therapy development.