Doroteya Raykova and Ola Söderberg led the development of MolBoolean. Credit: Mikael Wallerstedt
Proteins constitute the major building blocks of all living things. They are often described as workers in a cell, where together or individually they perform a number of important tasks. When something goes wrong, the consequences are often severe.Both research and healthcare have expressed the need for effective tools to analyze protein function and activity, with a new article in a scientific journal Nature CommunicationsProfessor Ola Söderberg and his team present MolBoolean, a technology that is expected to open important doors in cell and cancer research.
“MolBoolean is a method of determining the levels of pairs of proteins in individual cells and simultaneously identifying the percentage of these proteins that bind to each other. We continue to develop the tool we created in 2006, and today It’s used all over the world, and the features we’re adding now generate information about the relative abundance of different proteins and protein complexes to better understand cell activity and communication. Visualize.Biology at Uppsala University.”This can be compared to a restaurant rating: 10 positive reviews give you some information, but they are based on 10 opinions.” It’s important to know if it’s based on 1,000 opinions or if it’s based on 1,000 opinions.”
The group’s results have generated a great deal of interest in both academia and industry, and now the Stockholm-based company Atlas Antibodies (which recently patented MolBoolean) is preparing a method for the market. . The tool is expected to be of great value in research and, in the long term, in healthcare to improve cancer diagnosis and treatment choices.
Schematic of the MolBoolean principle for detecting interacting protein A and free proteins A and B. a Proximity probes A (black and magenta) and B (black and green) hybridize to the circles after binding their respective target proteins A and B. Arrows indicate the polarity of oligonucleotides. b Circles are enzymatically nicked (cyan arrows indicate nicking positions). c The circle is invaded by reporter tags (magenta tag A, green tag B). d Enzymatic ligation of reporter tags into circles follows. e Rolling circle amplification (RCA) creates long concatemer products (RCP). What RCP is detected via fluorescently labeled tag-specific detection oligonucleotides. credit: Nature Communications (2022). DOI: 10.1038/s41467-022-32395-w
“Our research aims to develop tools for visualizing processes within cells and increasing our knowledge of what is happening, for example, in cancer cells. The balance between free and interacting proteins. is important when studying cell signaling, and MolBoolean is highly valued in many laboratories,” said Doroteya, a researcher in the Department of Pharmaceutical and Biological Sciences and first author of the article. Raykova said.
MolBoolean was developed by Ola Söderberg’s group at the Uppsala University Faculty of Pharmacy. This work was done in collaboration with researchers from the Universities of Porto and Uppsala, SciLifeLab and Atlas Antibodies.
Significant Discovery Improves Prognosis for Cancer Patients
Doroteya Raykova et al, Methods for Boolean Analysis of Protein Interactions at the Molecular Level, Nature Communications (2022). DOI: 10.1038/s41467-022-32395-w
Courtesy of Uppsala University
Quote: Research Team Introduces New Technology to Analyze Protein Activity in Cells (August 16, 2022) https://phys.org/news/2022-08-team-technology-analysis-protein-cells. Retrieved Aug 16, 2022 from html
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