Literature DB >> 27042755

Photochemical Microscale Electrophoresis Allows Fast Quantification of Biomolecule Binding.

Friederike M Möller1, Michael Kieß1, Dieter Braun1.   

Abstract

Intricate spatiotemporal patterns emerge when chemical reactions couple to physical transport. We induce electrophoretic transport by a confined photochemical reaction and use it to infer the binding strength of a second, biomolecular binding reaction under physiological conditions. To this end, we use the photoactive compound 2-nitrobenzaldehyde, which releases a proton upon 375 nm irradiation. The charged photoproducts locally perturb electroneutrality due to differential diffusion, giving rise to an electric potential Φ in the 100 μV range on the micrometer scale. Electrophoresis of biomolecules in this field is counterbalanced by back-diffusion within seconds. The biomolecule concentration is measured by fluorescence and settles proportionally to exp(-μ/D Φ). Typically, binding alters either the diffusion coefficient D or the electrophoretic mobility μ. Hence, the local biomolecule fluorescence directly reflects the binding state. A fit to the law of mass action reveals the dissociation constant of the binding reaction. We apply this approach to quantify the binding of the aptamer TBA15 to its protein target human-α-thrombin and to probe the hybridization of DNA. Dissociation constants in the nanomolar regime were determined and match both results in literature and in control experiments using microscale thermophoresis. As our approach is all-optical, isothermal and requires only nanoliter volumes at nanomolar concentrations, it will allow for the fast screening of biomolecule binding in low volume multiwell formats.

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Year:  2016        PMID: 27042755     DOI: 10.1021/jacs.6b01756

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  3 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-28       Impact factor: 11.205

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Authors:  Gongyu Li; Yuan Liu; Lingjun Li
Journal:  Methods Mol Biol       Date:  2022

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Journal:  Nat Commun       Date:  2019-10-16       Impact factor: 14.919

  3 in total

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