News by Subject Biology

Researchers at Tokyo Tech have revealed that an artificial receptor preferentially binds male steroid hormones from a mixture of male and female hormones in water. Based on their findings, they succeeded in the preparation of a prototype detection system for male hormones at the nanogram level. This achievement could lead to the development of ultrasensitive analytical devices for medical diagnostics and anti-doping testing in sports.

EPFL bioengineers have developed a new method for Bulk RNA Sequencing that combines the multiplexing-driven cost-effectiveness of a single-cell RNA-seq workflow with the performance of a bulk RNA-seq procedure.

Human perception is based on mathematically optimal principles, but the brain implements those principles imperfectly, suggests new research by Elina Stengård and Ronald van den Berg of the University of Uppsala, Sweden. They present their findings in PLOS Computational Biology.

Like other biofluids, sweat contains a wealth of information about what's going on inside the body. However, collecting the fluid for analysis, usually by dripping or absorbing it from the skin's surface, can be time-consuming and messy. Now, researchers have developed a bandage-like biosensor that both collects and -- in conjunction with a smart phone -- analyzes sweat. The device, which could someday help diagnose diseases, is reported in ACS' journal Analytical Chemistry.

New findings published today in Science Advances, detail three-dimensional imaging research by a group of scientists at The University of Manchester and St Mary's Hospital. The research has opened up understanding about this vital life-sustaining process by mathematically modelling the human placenta.

Only about one in four people diagnosed with acute myelogenous leukemia (AML) survive five years after the initial diagnosis. To improve that survival rate, researchers at The University of Texas at San Antonio (UTSA) and the University of Texas MD Anderson Cancer Center created an online atlas to identify and classify protein signatures present at AML diagnosis.