Projects / Programmes
Proteomics as a tool for monitoring biosynthesis processes
| Code |
Science |
Field |
Subfield |
| 4.06.00 |
Biotechnical sciences |
Biotechnology |
|
| Code |
Science |
Field |
| T490 |
Technological sciences |
Biotechnology |
proteomics, 2-D electrophoresis, CIM monoliths, post-translational modifications, phosphorylation, glycosylation
Researchers (10)
Organisations (3)
Abstract
Proteomics is becoming an important scientific discipline. It has advantages that cannot be sustained with procedures of genomics and transcriptomics. It studies proteins that are key actors of functions in all living cells. We will focused on introduction of proteomics with the help of 2-D electrophoresis, which is one of the most widely used method in proteomics for protein separation. Firstly the aim will be develop and optimize 2-D electrophoresis to study total protein expression on selected model organisms. Model organisms such as animal cell line, bacteria Streptomyces rimosus and potato Solanum tuberosum, that have already been research subject of the research groups involved in the project, will be included. For each selected model organism, the key points of particular 2-D electrophoresis steps, such as sample preparation, pH gradient selection, gel percentage selection, staining technique will be optimized. Furthermore, 2-D electrophoresis has ability to detect post-translational modifications, which cannot be predicted from the genome sequence. Knowledge of post-translational modifications facilitates insights into biological events. Therefore, a procedure for detection of phosphoproteins and glycoproteins will be optimized In continuation of the project we will test the application of proteomics as a tool for monitoring biosynthesis processes such as biosynthesis of homologous and heterologous proteins. Different model cases will be included. Finally, the manual (collection of protocols) will be prepared. It will provide optimized procedures with troubleshooting experimentally determined for particular model organisms. This will help different research groups to avoid difficulties and to spare time and money at their future work.
