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Analysis of complex protein interactions

The composition of specific functional protein complexes in their cellular environment can now be analysed with unprecedented resolution. The team led by junior group leader Dr Julien Béthune at Heidelberg University Biochemistry Center has developed a new technique which allows the scientists to overcome a long-standing hurdle in molecular cell biology. The method called “split-BioID” allows them to analyse context-dependent protein complexes which could not be identified previously. Their research results were published in the journal Nature Communications.

The genome of living organisms encodes tens of thousands of proteins that perform most cellular functions. To fulfil their tasks, the proteins must interact to form large macromolecular assemblies. The identification of protein-protein interactions within such complexes has thus been a crucial task in the field of molecular cell biology. But a major challenge comes from the dynamic nature of these assemblies. “Typically, a single protein is part of several distinct and often overlapping complexes that remodel according to the cellular context and the physiological function to be exerted,” explains Dr Béthune. “To date, the lack of analytical techniques with sufficient resolution prevented easy assignment of protein-protein interactions to specific functional complexes.”

In their research, the scientists combine two existing approaches: an assay called BioID to identify possible protein-to-protein interactions with labelling techniques and the concept of the “Protein-Fragments Complementation Assay” (PCA), a method to validate interactions between two proteins. “In comparison with conventional methods, the novel ‘split-BioID’ provides outstanding spatio-temporal resolution that enables easy analysis of context-dependent protein complexes,” emphasises Isabel Schopp, a PhD candidate in the Béthune research group and primary author of the study. The researchers are now hoping to gain a better understanding of how cells dynamically react with their environment.

Source: https://www.sciencedaily.com/releases/2017/06/170609135751.htm

Postado por David Araripe

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