MADRID, 7 December (EUROPA PRESS) –
Certain patterns in natural elements, such as trees, streams, coasts, mountains, clouds, snowflakes and hurricanes, show or fit with fractal rules. A fractal definition of many things is a story about how they grew up, according to a team of researchers from the Viterbi School of Engineering at the University of Southern California (due to the acronym in USC).
In this case, fractal patterns can help explain the control of insulin expression, regulation of blood glucose or how cancer is spread in the body and how it signals appropriate means to stop it.
Traditional mathematics cannot adequately model the interaction of several genes in different time periods, which is a necessary basis for any anticancer drug. Mahboobeh Ghorbani, Edmond Jonckheere and Ming Hsieh from Electrical Engineering Department by Paul Bogdan & # 39; Borders in Physiology & # 39; In this study, it is the first study that explains the memory, cross dependence and fractality of gene expression.
Gene expression is a regulated process that allows the cell to respond to the changing environment. It also allows the information stored in the DNA to flow in a complex biological system. Without gene expression, a cell does not exist.
Unfortunately, according to Ghorbani, existing models are not 39 based on nonlinear equations göre, which illustrate which genes are responsible for a particular disease, but how these genes interact. Mel The problem with existing models is that they only see part of the network, Bu he explains.
Researchers have established the first foundations that detail the basic features of these mathematical tools that have yet to be developed. Ghorbani developed the software to study and predict gene-gene interactions in two live bacteria, E. coli and Saccharomyces cerevisiae.
Their findings not only indicate memory in gene expression, but also indicate that gene expression shows long-range cross-dependence in interactions between genes and fractal properties.
If the world appears as a fractal, if it changes in a predictable model, many objects in nature are likely to have a fractal structure. In addition, co-dependence can explain how two cancer cells work together in a cluster, but kill each other. Or how scientists can design tumor cells to kill their own species. Memory allows you to see DNA as a program, a series of commands that consistently validate each other.
According to Ghorbani, investigating the dynamics of gene expression al allows us to understand the mechanisms and models that drive biological organisms G. This information is both scientifically and engineeringly helpful, because ted it can be used to detect an anomaly or disease. “The expert says, aç You can design cells to perform certain tasks, such as the application of drugs for cancer treatment. Bu
Scientists do not take into account a single genetic behavior when they design a therapy for a particular disease, but how they interact with other genes on multiple time scales. Otherwise, it will only result in the processing of a localized defect.