Crossref journal-article
American Association for the Advancement of Science (AAAS)
Science (221)
Abstract

A major goal of systems biology is to predict the function of biological networks. Although network topologies have been successfully determined in many cases, the quantitative parameters governing these networks generally have not. Measuring affinities of molecular interactions in high-throughput format remains problematic, especially for transient and low-affinity interactions. We describe a high-throughput microfluidic platform that measures such properties on the basis of mechanical trapping of molecular interactions. With this platform we characterized DNA binding energy landscapes for four eukaryotic transcription factors; these landscapes were used to test basic assumptions about transcription factor binding and to predict their in vivo function.

Bibliography

Maerkl, S. J., & Quake, S. R. (2007). A Systems Approach to Measuring the Binding Energy Landscapes of Transcription Factors. Science, 315(5809), 233–237.

Authors 2
  1. Sebastian J. Maerkl (first)
  2. Stephen R. Quake (additional)
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Dates
Type When
Created 18 years, 7 months ago (Jan. 12, 2007, 7:48 a.m.)
Deposited 1 year, 7 months ago (Jan. 10, 2024, 4:37 a.m.)
Indexed 1 day, 9 hours ago (Sept. 3, 2025, 7:06 a.m.)
Issued 18 years, 7 months ago (Jan. 12, 2007)
Published 18 years, 7 months ago (Jan. 12, 2007)
Published Print 18 years, 7 months ago (Jan. 12, 2007)
Funders 0

None

@article{Maerkl_2007, title={A Systems Approach to Measuring the Binding Energy Landscapes of Transcription Factors}, volume={315}, ISSN={1095-9203}, url={http://dx.doi.org/10.1126/science.1131007}, DOI={10.1126/science.1131007}, number={5809}, journal={Science}, publisher={American Association for the Advancement of Science (AAAS)}, author={Maerkl, Sebastian J. and Quake, Stephen R.}, year={2007}, month=jan, pages={233–237} }