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Conditional Toxin Splicing Using a Split Intein System.

Spencer C Alford1,2, Connor O'Sullivan2, Perry L Howard3

  • 1Department of Bioengineering, Stanford University, Stanford, CA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|October 8, 2016
PubMed
Summary
This summary is machine-generated.

Conditional toxin splicing (CTS) enables targeted cell ablation by reconstituting split toxins using a dimerizer agent. This method engineers split inteins and toxins for controlled activation, offering a novel approach for biological research.

Keywords:
Dimerization domainFKBP12FRBProtein splicingRapamycinSarcinSelective cell ablationSplit inteinVMA intein

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Cell Biology

Background:

  • Split intein technology facilitates protein ligation and can be engineered for conditional activation.
  • Conditional cell ablation is a valuable tool in biological research for studying cell function and fate.

Purpose of the Study:

  • To outline the design and implementation of conditional toxin splicing (CTS) systems for controlled cell ablation.
  • To detail considerations for engineering effective CTS systems, including toxin selection and split site optimization.

Main Methods:

  • Artificial fragmentation of a potent protein toxin and fusion to split intein fragments.
  • Fusion of toxin-intein fragments to dimerization domains for inducible reconstitution.
  • Activation of intein splicing and toxin formation upon addition of a dimerizing agent.

Main Results:

  • Demonstrated the principle of conditional toxin activation through split intein-mediated splicing.
  • Identified key factors for CTS system design, including toxin split site and extein chemistry.
  • Provided a framework for developing and implementing alternative CTS systems.

Conclusions:

  • Conditional toxin splicing is a viable strategy for precise, externally controlled cell ablation.
  • The described CTS system engineering principles are applicable to various toxins and research applications.
  • This approach offers a powerful method for targeted manipulation of cellular populations in biological studies.