1. Massively parallel measurements of molecular interaction kinetics on a microfluidic platform
- Author
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Marcel Geertz, David Shore, Sebastian J. Maerkl, University of Zurich, and Maerkl, Sebastian J
- Subjects
Saccharomyces cerevisiae Proteins ,SX20 Research, Technology and Development Projects ,Systems biology ,Microfluidics ,Molecular Sequence Data ,Cell Cycle Proteins ,02 engineering and technology ,Saccharomyces cerevisiae ,Biology ,Kinetic energy ,Dissociation (chemistry) ,03 medical and health sciences ,Mice ,Reaction rate constant ,SX00 SystemsX.ch ,biophysics ,biochemistry ,Animals ,SX05 DynamiX ,Massively parallel ,030304 developmental biology ,Early Growth Response Protein 1 ,Genetics ,Homeodomain Proteins ,1000 Multidisciplinary ,0303 health sciences ,Multidisciplinary ,Base Sequence ,Reproducibility of Results ,systems biology ,DNA ,Biological Sciences ,021001 nanoscience & nanotechnology ,Dissociation constant ,DNA-Binding Proteins ,Repressor Proteins ,Kinetics ,Interaction kinetics ,570 Life sciences ,biology ,0210 nano-technology ,Biological system ,Algorithms ,Protein Binding ,Transcription Factors - 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.
- Published
- 2012