Spearheaded by Stein Aerts (KU Leuven-VIB), a Belgian group of computational biologists has designed a novel bioinformatics technique dubbed as cisTopic. Motivated by text-mining techniques, cisTopic assists researchers to attain insight into the methods underlying the dissimilarities in gene management within and across the cells in our body by seeing for mutual topics. In the article posted in Nature Methods, Aerts and his group shows the wide series of apps of this technique, from cancer biology to brain research.
Our genomes are managed by mixtures of authoritarian molecules that “turn on” our DNA’s target genes. These authoritarian molecules connect to so-called promoter and enhancer areas in our chromosomes. Knowing how and when they are triggered on, can teach us more about the cellular miscellany within our bodies. “All the cells in our body importantly have the similar DNA,” claims Prof. Stein Aerts, who leads the computational biology lab at KU Leuven and VIB.
On a related note, promising results from preclinical animal researches demonstrates the possibility of gene treatment for curing incurable neurological diseases. In new study posted earlier, researchers successfully employed gene treatment to slow the development and enhance symptoms of diseases such as Parkinson’s disease and amyotrophic lateral sclerosis. The results were shown at Neuroscience. It is the yearly event by the Society for Neuroscience and the biggest source of up-and-coming news in the world related to brain health and science.
Gene treatment normally uses an inactivated virus to transport new genetic cargo into cells, changing particular genes to prevent and cure a disease. Scientists may restore a mutated gene with a strong copy of the gene, switch off a disorder-leading gene, or include a novel gene to the body to assist battle a disease. Gene treatment is a potential treatment alternative for a restricted number of diseases.