Literature DB >> 23986395

Protein-DNA force assay in a microfluidic format.

Marcus Otten1, Philip Wolf, Hermann E Gaub.   

Abstract

The detailed study of protein-DNA interactions is a core effort to elucidate physiological processes, including gene regulation, DNA repair and the immune response. The molecular force assay (MFA) is an established method to study DNA-binding proteins. In particular, high-affinity binder dissociation is made possible by the application of force. Microfluidic lab-on-a-chip approaches have proven helpful for parallelization, small sample volumes, reproducibility, and low cost. We report the successful combination of these two principles, forming a microfluidic molecular force assay and representing a novel use for the established MITOMI chip design. We present, characterize, validate and apply this integrated method. An alternative confocal fluorescence microscopy readout and analysis method is introduced and validated. In a multiplexing application, EcoRI binding is detected and characterized. This method paves the way for quantitative on-chip force measurements. It is suited for integration with DNA micro-spotting and in vitro expression of transcription factors to form a high-throughput chip for detailed DNA-protein interaction studies.

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Year:  2013        PMID: 23986395     DOI: 10.1039/c3lc50830g

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  4 in total

1.  Toward high-throughput biomechanical phenotyping of single molecules.

Authors:  David Alsteens; Savaş Tay; Daniel J Müller
Journal:  Nat Methods       Date:  2015-01       Impact factor: 28.547

2.  Parallel force assay for protein-protein interactions.

Authors:  Daniela Aschenbrenner; Diana A Pippig; Kamila Klamecka; Katja Limmer; Heinrich Leonhardt; Hermann E Gaub
Journal:  PLoS One       Date:  2014-12-29       Impact factor: 3.240

3.  A force-based, parallel assay for the quantification of protein-DNA interactions.

Authors:  Katja Limmer; Diana A Pippig; Daniela Aschenbrenner; Hermann E Gaub
Journal:  PLoS One       Date:  2014-02-27       Impact factor: 3.240

4.  From genes to protein mechanics on a chip.

Authors:  Marcus Otten; Wolfgang Ott; Markus A Jobst; Lukas F Milles; Tobias Verdorfer; Diana A Pippig; Michael A Nash; Hermann E Gaub
Journal:  Nat Methods       Date:  2014-09-07       Impact factor: 28.547

  4 in total

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