How to cure malignant brain tumour? Why two cells from the same organism, in spite of having identical gene set up, have different shape and functions? How small variations in human genes determine changes in the way we think, feel and behave? Answers to such questions are sought by scientists from the new Laboratory of Molecular Neurobiology of the Nencki Institute.
Researchers at Johns Hopkins have coaxed stem cells into forming networks of new blood vessels in the laboratory, then successfully transplanted them into mice. The stem cells are made by reprogramming ordinary cells, so the new technique could potentially be used to make blood vessels genetically matched to individual patients and unlikely to be rejected by their immune systems, the investigators say.
New research provides a rare 'picture' of the activity taking place at the single molecular level: visual evidence of the mechanisms involved when a cell transports mRNA (or messenger RNA) to where a protein is needed to perform a cellular function.
Imagine millions of jigsaw puzzle pieces scattered across a football field, with too few people and too little time available to assemble the picture. Scientists in the new but fast-growing field of computational genomics are facing a similar dilemma.
Scientists have captured new details of the biochemical interactions necessary for cell division -- molecular images showing how the enzyme that unwinds the DNA double helix gets drawn to and wrapped around its target. The research may suggest ways for stopping cell division when it goes awry.
By employing next generation DNA sequencing of genomes isolated from single cells, great strides are being made in the monumental task of systematically bringing to light and filling in uncharted branches in the bacterial and archaeal tree of life.
A new GBP10 million Innovation and Knowledge Centre (IKC), that will boost the UK's ability to translate the emerging field of synthetic biology into application and provide a bridge between academia and industry was announced yesterday.
Researchers have developed a technique for the rapid and reliable distinction between strains that can cause chronic infections and those that cannot. Using infrared light and artificial intelligence, the scientists present a sophisticated method for the prediction of disease progression.