Issue 6, 2014

Multimodal electrochemical sensing of transcription factor–operator complexes

Abstract

Interactions of proteins with nucleic acids arise at all levels of cellular function, from chromosomal packing to biological regulation. These interactions can be analyzed in a high-throughput fashion by immobilizing the DNA sequences of interest, possibly numbering in the thousands, at discrete locations on a solid support and identifying those sequences that a protein analyte binds. Ideally, such surface assays would use unlabeled analyte to simplify protocols and avoid the possibility of perturbing the protein/DNA interaction. The present study compares three electrochemical modalities for simultaneously detecting binding of unlabeled transcription factor proteins to immobilized DNA duplexes based on (i) changes in the duplex diffusive motions, (ii) variations in the surface potential, and (iii) variations in the interfacial charging impedance, all of which can be conveniently derived from AC voltammetry traces. Cro protein from bacteriophage lambda is used as a model transcription factor. Specific binding of protein was successfully detected through modalities (i) and (ii), but not (iii). The effectiveness of these techniques is compared as a function of sampling frequency and protein concentration. Binding of 15 kDa Cro slowed down rotational diffusion of immobilized duplexes approximately 3-fold, and induced up to 5 mV changes in the surface potential. Moreover, by assessing Cro binding to bacteriophage operators of variable affinity, the study illustrates how contrast between specific and nonspecific interactions impacts detection.

Graphical abstract: Multimodal electrochemical sensing of transcription factor–operator complexes

Article information

Article type
Paper
Submitted
14 Nov 2013
Accepted
27 Jan 2014
First published
27 Jan 2014

Analyst, 2014,139, 1463-1471

Author version available

Multimodal electrochemical sensing of transcription factor–operator complexes

K. Williams, C. Kim, J. R. Kim and R. Levicky, Analyst, 2014, 139, 1463 DOI: 10.1039/C3AN02128A

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