Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Searching for the nik Operon: How a Ligand-Responsive Transcription Factor Hunts for Its DNA Binding Site

Searching for the nik Operon: How a Ligand-Responsive Transcription Factor Hunts for Its DNA Binding Site

Thumbnail Image
Download
Name

Drennan_bi100947k-1.pdf

Size

3.58 MB

Format

Adobe PDF

Checksum (MD5)

3a445d8d135ce866c1968b776cece0ab

Author(s)
Phillips, Christine M.
•
Stultz, Collin M.
•
Drennan, Catherine L.
Date Issued
August 2010
Journal
Biochemistry
Publisher
American Chemical Society
Citation
Phillips, Christine M., Collin M. Stultz, and Catherine L. Drennan. “Searching for the Nik Operon: How a Ligand-Responsive Transcription Factor Hunts for Its DNA Binding Site.” Biochemistry 49.36 (2010) : 7757-7763. © 2010 American Chemical Society
Version
Final published version
Abstract
Transcription factors regulate a wide variety of genes in the cell and play a crucial role in maintaining cellular homeostasis. A major unresolved issue is how transcription factors find their specific DNA binding sequence in the vast expanse of the cell and how they do so at rates that appear faster than the diffusion limit. Here, we relate an atomic-detail model that has been developed to describe the transcription factor NikR’s mechanism of DNA binding to the broader theories of how transcription factors find their binding sites on DNA. NikR is the nickel regulatory transcription factor for many bacteria, and NikR from Escherichia coli is one of the best studied ligand-mediated transcription factors. For the E. coli NikR protein, there is a wide variety of structural, biochemical, and computational studies that provide significant insight into the NikR−DNA binding mechanism. We find that the two models, the atomic-level model for E. coli NikR and the cellular model for transcription factors in general, are in agreement, and the details laid out by the NikR system may lend additional credence to the current models for transcription factors searching for DNA.
MIT Department
Massachusetts Institute of Technology. Department of Chemistry
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
http://hdl.handle.net/1721.1/64716
DOI of Published Version
https://doi.org/10.1021/bi100947k
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.