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Steady-State and Kinetics-Based Affinity Determination in Effector-Effector Target Interactions.

André Reinhard1, Thorsten Nürnberger2

  • 1Center of Plant Molecular Biology (ZMBP), Eberhard-Karls-University Tübingen, Auf der Morgenstelle 32, D-72076, Tübingen, Germany.

Methods in Molecular Biology (Clifton, N.J.)
|February 22, 2017
PubMed
Summary
This summary is machine-generated.

Understanding plant innate immunity requires detailed knowledge of biomolecular interactions. New in vitro assays, like microscale thermophoresis (MST) and surface plasmon resonance (SPR), quantify these interactions for better insights.

Keywords:
AffinityKineticsMicroscale thermophoresisProtein-protein interactionsSurface plasmon resonance

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Area of Science:

  • Plant pathology
  • Molecular biology
  • Biochemistry

Background:

  • Plant innate immunity relies on specific biomolecular interactions between host and pathogen.
  • In vivo studies lack quantitative biochemical characterization of these interactions.
  • Interaction 'intensity' (affinity) is crucial for understanding virulence and resistance.

Purpose of the Study:

  • To describe advanced in vitro assays for quantifying biomolecular interactions.
  • To enable detailed analysis of host-pathogen interactions beyond qualitative assessments.
  • To provide new insights into the evolutionary dynamics of plant-pathogen relationships.

Main Methods:

  • Utilized microscale thermophoresis (MST) for biomolecular interaction analysis.
  • Employed surface plasmon resonance (SPR) for kinetic and steady-state affinity determination.
  • Applied in vitro assays for high-fidelity quantification of binding events.

Main Results:

  • Demonstrated the capability of MST and SPR to quantify biomolecular interactions.
  • Provided two independent methods for determining quantitative affinity data.
  • Enabled detailed characterization of pathogen-host biomolecule interactions.

Conclusions:

  • In vitro assays like MST and SPR are powerful tools for dissecting plant innate immunity.
  • Quantitative affinity data offers deeper insights into pathogenicity and resistance mechanisms.
  • These methods advance our understanding of host-pathogen co-evolutionary processes.