4.6 Article

LuTHy: a double-readout bioluminescence-based two-hybrid technology for quantitative mapping of protein-protein interactions in mammalian cells

Journal

MOLECULAR SYSTEMS BIOLOGY
Volume 14, Issue 7, Pages -

Publisher

WILEY
DOI: 10.15252/msb.20178071

Keywords

CSP alpha; LuTHy; missense mutations; protein-protein interactions; quantitative

Funding

  1. German Research Foundation [SFB740, SFB958]
  2. Federal Ministry of Education and Research (Integrament, ERA-NET NEURON)
  3. European Union (EuroSpin and SynSys)
  4. Berlin Institute of Health (Collaborative Research Grant)
  5. Helmholtz Initiative on Personalized Medicine (iMED)
  6. CHDI foundation
  7. German Center for Neurodegenerative Diseases (DZNE)
  8. [SFB740: 740/2-11]
  9. [01ZX1314C]
  10. [01W1301]
  11. [Health-F2-2009-241498]
  12. [HEALTH-F2-2009-242167]
  13. [1.1.2.a.3]

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Information on protein-protein interactions (PPIs) is of critical importance for studying complex biological systems and developing therapeutic strategies. Here, we present a double-readout bioluminescence-based two-hybrid technology, termed LuTHy, which provides two quantitative scores in one experimental procedure when testing binary interactions. PPIs are first monitored in cells by quantification of bioluminescence resonance energy transfer (BRET) and, following cell lysis, are again quantitatively assessed by luminescence-based co-precipitation (LuC). The double-readout procedure detects interactions with higher sensitivity than traditional single-readout methods and is broadly applicable, for example, for detecting the effects of small molecules or disease-causing mutations on PPIs. Applying LuTHy in a focused screen, we identified 42 interactions for the presynaptic chaperone CSP alpha, causative to adult-onset neuronal ceroid lipofuscinosis (ANCL), a progressive neurodegenerative disease. Nearly 50% of PPIs were found to be affected when studying the effect of the disease-causing missense mutations L115R and Delta L116 in CSP alpha with LuTHy. Our study presents a robust, sensitive research tool with high utility for investigating the molecular mechanisms by which disease-associated mutations impair protein activity in biological systems.

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