Intrinsic Disorder in Transcription Factors

Jiangang Liu, Narayanan B. Perumal, Christopher J. Oldfield,§ Eric W. Su, Vladimir N. Uversky,*§# and A. Keith Dunker§
School of Informatics, Indiana University-Purdue University Indianapolis, 535 West Michigan Street, Indianapolis, Indiana 46202, Department of Biochemistry and Molecular Biology, and the Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 714 North Senate Avenue, Suite 250, Indianapolis, Indiana 46202, Bioinformatics Group, Lilly Research Laboratories, Eli Lilly and Company, DC GL54 Greenfield, Indiana 46140, Institute for Biological Instrumentation, Russian Academy of Sciences, 142292 Pushchino, Moscow Region, Russia, and Molecular Kinetics, Inc., 6201 La Pas Trail, Suite 160, Indianapolis, Indiana 46268
Biochemistry, 2006, 45 (22), pp 6873–6888
DOI: 10.1021/bi0602718
Publication Date (Web): May 13, 2006
Copyright © 2006 American Chemical Society

 This work was supported in part by the Indiana Genomics Initiative (INGEN) and NIH Grant R01 LM007688-01A1 (to A.K.D.) and the Programs of the Russian Academy of Sciences for the Molecular and Cellular Biology and Fundamental Science for Medicine (to V.N.U.).

,

 Indiana University-Purdue University Indianapolis.

,

 Eli Lilly and Company.

,
§

 Indiana University School of Medicine.

,
*

 To whom correspondence should be addressed. Tel:  317-278-9650. Fax:  317-278-9217. E-mail:  vuversky@iupui.edu.

,

 Russian Academy of Sciences.

,
#

 Molecular Kinetics, Inc.

Abstract

Abstract Image

Intrinsic disorder (ID) is highly abundant in eukaryotes, which reflect the greater need for disorder-associated signaling and transcriptional regulation in nucleated cells. Although several well-characterized examples of intrinsically disordered proteins in transcriptional regulation have been reported, no systematic analysis has been reported so far. To test for the general prevalence of intrinsic disorder in transcriptional regulation, we used the predictor of natural disorder regions (PONDR) to analyze the abundance of intrinsic disorder in three transcription factor datasets and two control sets. This analysis revealed that from 94.13 to 82.63% of transcription factors possess extended regions of intrinsic disorder, relative to 54.51 and 18.64% of the proteins in two control datasets, which indicates the significant prevalence of intrinsic disorder in transcription factors. This propensity of transcription factors to intrinsic disorder was confirmed by cumulative distribution function analysis and charge-hydropathy plots. The amino acid composition analysis showed that all three transcription factor datasets were substantially depleted in order-promoting residues and significantly enriched in disorder-promoting residues. Our analysis of the distribution of disorder within the transcription factor datasets revealed that (a) the AT-hooks and basic regions of transcription factor DNA-binding domains are highly disordered; (b) the degree of disorder in transcription factor activation regions is much higher than that in DNA-binding domains; (c) the degree of disorder is significantly higher in eukaryotic transcription factors than in prokaryotic transcription factors; and (d) the level of α-MoRF (molecular recognition feature) prediction is much higher in transcription factors. Overall, our data reflected the fact that eukaryotes with well-developed gene transcription machinery require transcription factor flexibility to be more efficient.

Tools

SciFinder Links

SciFinder subscribers:  Click to sign in | Not a SciFinder subscriber? Learn more at www.cas.org

History

  • Published In Issue June 06, 2006
  • Received February 8, 2006
    Revised Manuscript Received March 8, 2006

Recommend & Share

Related Content

Other ACS content by these authors: