Literature DB >> 26140476

Temperature Gradient Approach for Rapidly Assessing Sensor Binding Kinetics and Thermodynamics.

Caleb E Wagner1, Lucyano J A Macedo1, Aric Opdahl1.   

Abstract

We report a highly resolved approach for quantitatively measuring the temperature dependence of molecular binding in a sensor format. The method is based on surface plasmon resonance (SPR) imaging measurements made across a spatial temperature gradient. Simultaneous recording of sensor response over the range of temperatures spanned by the gradient avoids many of the complications that arise in the analysis of SPR measurements where temperature is varied. In addition to simplifying quantitative analysis of binding interactions, the method allows the temperature dependence of binding to be monitored as a function of time, and provides a straightforward route for calibrating how temperature varies across the gradient. Using DNA hybridization as an example, we show how the gradient approach can be used to measure the temperature dependence of binding kinetics and thermodynamics (e.g., melt/denaturation profile) in a single experiment.

Mesh:

Year:  2015        PMID: 26140476     DOI: 10.1021/acs.analchem.5b01518

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  3 in total

1.  Simultaneous Profiling of DNA Mutation and Methylation by Melting Analysis Using Magnetoresistive Biosensor Array.

Authors:  Giovanni Rizzi; Jung-Rok Lee; Christina Dahl; Per Guldberg; Martin Dufva; Shan X Wang; Mikkel F Hansen
Journal:  ACS Nano       Date:  2017-09-13       Impact factor: 15.881

2.  Magnetoresistive sensors for measurements of DNA hybridization kinetics - effect of TINA modifications.

Authors:  G Rizzi; M Dufva; M F Hansen
Journal:  Sci Rep       Date:  2017-02-07       Impact factor: 4.379

3.  A Novel Microfluidic Flow Rate Detection Method Based on Surface Plasmon Resonance Temperature Imaging.

Authors:  Shijie Deng; Peng Wang; Shengnan Liu; Tianze Zhao; Shanzhi Xu; Mingjiang Guo; Xinglong Yu
Journal:  Sensors (Basel)       Date:  2016-06-24       Impact factor: 3.576

  3 in total

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