Literature DB >> 23012409

Massively parallel measurements of molecular interaction kinetics on a microfluidic platform.

Marcel Geertz1, David Shore, Sebastian J Maerkl.   

Abstract

Quantitative biology requires quantitative data. No high-throughput technologies exist capable of obtaining several hundred independent kinetic binding measurements in a single experiment. We present an integrated microfluidic device (k-MITOMI) for the simultaneous kinetic characterization of 768 biomolecular interactions. We applied k-MITOMI to the kinetic analysis of transcription factor (TF)-DNA interactions, measuring the detailed kinetic landscapes of the mouse TF Zif268, and the yeast TFs Tye7p, Yox1p, and Tbf1p. We demonstrated the integrated nature of k-MITOMI by expressing, purifying, and characterizing 27 additional yeast transcription factors in parallel on a single device. Overall, we obtained 2,388 association and dissociation curves of 223 unique molecular interactions with equilibrium dissociation constants ranging from 2 × 10(-6) M to 2 × 10(-9) M, and dissociation rate constants of approximately 6 s(-1) to 8.5 × 10(-3) s(-1). Association rate constants were uniform across 3 TF families, ranging from 3.7 × 10(6) M(-1) s(-1) to 9.6 × 10(7) M(-1) s(-1), and are well below the diffusion limit. We expect that k-MITOMI will contribute to our quantitative understanding of biological systems and accelerate the development and characterization of engineered systems.

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Year:  2012        PMID: 23012409      PMCID: PMC3478601          DOI: 10.1073/pnas.1206011109

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  60 in total

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Journal:  Cell       Date:  2006-06-16       Impact factor: 41.582

5.  Functional organization of the yeast proteome by systematic analysis of protein complexes.

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7.  Multiplexed massively parallel SELEX for characterization of human transcription factor binding specificities.

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8.  An in vitro microfluidic approach to generating protein-interaction networks.

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9.  Genome-wide mapping of in vivo protein-DNA interactions.

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10.  Spatial effects on the speed and reliability of protein-DNA search.

Authors:  Zeba Wunderlich; Leonid A Mirny
Journal:  Nucleic Acids Res       Date:  2008-05-03       Impact factor: 16.971

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  43 in total

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Review 3.  Microfluidics: reframing biological enquiry.

Authors:  Todd A Duncombe; Augusto M Tentori; Amy E Herr
Journal:  Nat Rev Mol Cell Biol       Date:  2015-09       Impact factor: 94.444

4.  Noise and information transmission in promoters with multiple internal States.

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5.  Nucleosomal proofreading of activator-promoter interactions.

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Journal:  Proc Natl Acad Sci U S A       Date:  2020-01-21       Impact factor: 11.205

6.  The base pair-scale diffusion of nucleosomes modulates binding of transcription factors.

Authors:  Sergei Rudnizky; Hadeel Khamis; Omri Malik; Philippa Melamed; Ariel Kaplan
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-30       Impact factor: 11.205

7.  Quantifying the two-state facilitated diffusion model of protein-DNA interactions.

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Journal:  Nucleic Acids Res       Date:  2019-06-20       Impact factor: 16.971

8.  Integrated microfluidic approach for quantitative high-throughput measurements of transcription factor binding affinities.

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9.  Role of DNA binding sites and slow unbinding kinetics in titration-based oscillators.

Authors:  Sargis Karapetyan; Nicolas E Buchler
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2015-12-22

10.  A high-throughput microfluidic nanoimmunoassay for detecting anti-SARS-CoV-2 antibodies in serum or ultralow-volume blood samples.

Authors:  Zoe Swank; Grégoire Michielin; Hon Ming Yip; Patrick Cohen; Diego O Andrey; Nicolas Vuilleumier; Laurent Kaiser; Isabella Eckerle; Benjamin Meyer; Sebastian J Maerkl
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-04       Impact factor: 11.205

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