Bioengineers have for the first time used a computer model to relate specific genetic mutations to exact variations of a disease. This is the first model-based system for predicting phenotype (function of the cell or organism) based on genotype (an individual’s DNA).
Bernhard Palsson, Professor, Bioengineering
In the study, published in Genome Research (Vol. 12, Issue 11, 1687-1692, November 2002, article link), Bernhard Palsson and his team at UCSD’s Jacobs School of Engineering reviewed genetic information from patients who have an enzyme deficiency that causes hemolytic anemia. Physicians have recorded some 150 DNA sequence variations that could be involved in this type of anemia. By inserting the specific DNA sequences into a computer model for red blood cell metabolism, Palsson accurately predicted which mutations would result in chronic hemolytic anemia and which would cause a less severe version of the disease.
“Eventually, there could be a kind of databank of specific genetic mutations that cause precise disease variants,” says Palsson. “Some mutations will be severe, others benign. And every variation of a disease could be treated differently. This could be incredibly useful for drug development and will aid physicians in creating effective treatment plans for individuals.” A person’s risk of getting a disease is often influenced by a permutation in a single base pair in their genome, called a single nucleotide polymorphism (SNP). And for any one type of cancer such as breast cancer, there may be as much as a dozen variations of the disease. Now that the human genome has been mapped, biotechnology companies and scientists are feverishly developing processes to uncover SNPs that are related to variations of diseases such as cancer, heart disease and a host of inherited disorders.
Study tracks inner workings of the brain with new biosensor
16.08.2018 | Rheinische Friedrich-Wilhelms-Universität Bonn
Foods of the future
15.08.2018 | Georg-August-Universität Göttingen
New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference
Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.
Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...
17.08.2018 | Event News
08.08.2018 | Event News
27.07.2018 | Event News
17.08.2018 | Physics and Astronomy
17.08.2018 | Information Technology
17.08.2018 | Life Sciences