Biologists at Tufts University School of Arts and Sciences have discovered a bioelectric signal that can identify cells that are likely to develop into tumors. The researchers also found that they could lower the incidence of cancerous cells by manipulating the electrical charge across cells' membranes.
There's a wobbly new biochemical structure in Burckhard Seelig's lab at the University of Minnesota that may resemble what enzymes looked like billions of years ago, when life on earth began to evolve - long before they became ingredients for new and improved products, from detergents to foods and fuels.
Biomembranes consist of a mosaic of individual, densely packed lipid molecules. These molecules are formed inside the cells. But how do these building blocks move to the correct part of the membrane? Researchers from Technische Universität München (TUM) have discovered a mechanism to show how this is done.
A protein associated with neuron damage in Alzheimer's patients provides a superior scaffold for growing central nervous system cells in the lab. The findings could have clinical implications for producing neural implants and offers new insights on the complex link between the apoE4 apolipoprotein and Alzheimer's disease.
60 years after Watson and Crick's ground breaking paper described the double helix structure of DNA, researchers at the University of Cambridge have observed four-stranded DNA structures within human cells. The discovery could open the door to novel cancer therapies and a new era for personalised medicine.
Scientists have developed a way to grow iron-oxidizing bacteria using electricity instead of iron, an advance that will allow them to better study the organisms and could one day be used to turn electricity into fuel.
Scientists from Karolinska Institutet in Sweden have made progress in understanding how human genes are regulated. In their study they have identified the DNA sequences, which bound to over four hundred proteins controlling the expression of genes.
In biology, molecules can have multi-way interactions within cells, and until recently, computational analysis of these links has been "incomplete," according to T. M. Murali, associate professor of computer science in the College of Engineering at Virginia Tech. His group authored an article on their new approach to address these shortcomings.