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Protein interaction perturbation profiling at amino-acid resolution.

Jonathan Woodsmith1,2, Luise Apelt1, Victoria Casado-Medrano1

  • 1Otto-Warburg Laboratory, Max-Planck Institute for Molecular Genetics (MPIMG), Berlin, Germany.

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|October 18, 2017
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Researchers developed a new method to understand how genetic mutations affect protein interactions. This technique profiles amino acid changes in the BBSome complex, aiding the interpretation of mutations causing Bardet-Biedl syndrome.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Biochemistry

Background:

  • Functional annotation of genomic variants lags behind identification.
  • Scalable, high-resolution methods for assaying variant effects are needed.
  • Protein complex interactions are crucial for cellular function and disease.

Purpose of the Study:

  • To develop a scalable method for functional annotation of genetic variants.
  • To systematically profile protein-interaction determinants at amino-acid resolution.
  • To interpret patient-derived mutations in the context of protein complex interactions.

Main Methods:

  • Yeast two-hybrid 'off switch' for positive selection of disruptive variants.
  • Massively parallel programmed mutagenesis.
  • High-throughput sequencing for variant readout.

Main Results:

  • Defined over 1,000 interaction-disrupting mutations in the BBSome complex.
  • Achieved amino-acid resolution profiling of variant effects.
  • Established a framework for interpreting mutations across the entire BBSome complex.

Conclusions:

  • The developed method enables systematic assessment of variant impact on protein interactomes.
  • High-resolution interaction perturbation profiles aid in understanding genetic disorders like Bardet-Biedl syndrome.
  • This approach provides a foundation for interpreting disease-causing mutations in protein complexes.