Literature DB >> 10966808

The strength of acidic activation domains correlates with their affinity for both transcriptional and non-transcriptional proteins.

K Melcher1.   

Abstract

Activation domains (ADs) appear to work by making specific protein-protein contacts with the transcriptional machinery. However, ADs show no apparent sequence conservation, they can be functionally replaced by a number of random peptides and unrelated proteins, and their function does not depend on sustaining a complex tertiary structure. To gain a broader perspective on the nature of interactions between acidic ADs and several of their proposed targets, the in vivo strengths of viral, human, yeast, and artificial activation domains were determined under physiological conditions, and mutant ADs with increased in vivo potencies were selected. The affinities between ADs and proposed targets were determined in vitro and all interactions were found to be of low-level affinity with dissociation constants above 10(-7)M. However, in vivo potencies of all ADs correlated nearly perfectly with their affinities for transcriptional proteins. Surprisingly, the weak interactions of the different ADs with at least two non-transcriptional proteins show the same rank order of binding and AD mutants selected for increased in vivo strength also have increased affinities to non-transcriptional proteins. Based on these results, isolated acidic ADs can bind with relatively low-level specificity and affinity to many different proteins and the strength of these semi-specific interactions determine the strength of an AD. I suggest that ADs expose flexible hydrophobic elements in an aqueous environment to contact hydrophobic patches over short distances, shifting specificity of activators largely to the DNA colocalization of arrays of ADs and targets. Copyright 2000 Academic Press.

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Year:  2000        PMID: 10966808     DOI: 10.1006/jmbi.2000.4034

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  17 in total

1.  Transcriptional activating regions target a cyclin-dependent kinase.

Authors:  Aseem Z Ansari; Sang Seok Koh; Zafar Zaman; Christine Bongards; Norbert Lehming; Richard A Young; Mark Ptashne
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-04       Impact factor: 11.205

2.  Transcriptional activating regions target attached substrates to a cyclin-dependent kinase.

Authors:  Aseem Z Ansari; Anuja Ogirala; Mark Ptashne
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-01       Impact factor: 11.205

3.  Targets of the Gal4 transcription activator in functional transcription complexes.

Authors:  Wendy M Reeves; Steven Hahn
Journal:  Mol Cell Biol       Date:  2005-10       Impact factor: 4.272

4.  Common effects of acidic activators on large-scale chromatin structure and transcription.

Authors:  Anne E Carpenter; Sevinci Memedula; Matthew J Plutz; Andrew S Belmont
Journal:  Mol Cell Biol       Date:  2005-02       Impact factor: 4.272

5.  Functional analysis of molecular interactions in synthetic auxin response circuits.

Authors:  Edith Pierre-Jerome; Britney L Moss; Amy Lanctot; Amber Hageman; Jennifer L Nemhauser
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-19       Impact factor: 11.205

6.  The TATA-binding protein is not an essential target of the transcriptional activators Gal4p and Gcn4p in Saccharomyces cerevisiae.

Authors:  Christine Bongards; Boon Shang Chew; Norbert Lehming
Journal:  Biochem J       Date:  2003-02-15       Impact factor: 3.857

7.  Perfluoro-tert-butyl Homoserine Is a Helix-Promoting, Highly Fluorinated, NMR-Sensitive Aliphatic Amino Acid: Detection of the Estrogen Receptor·Coactivator Protein-Protein Interaction by 19F NMR.

Authors:  Caitlin M Tressler; Neal J Zondlo
Journal:  Biochemistry       Date:  2017-02-15       Impact factor: 3.162

8.  Caught in the act: covalent cross-linking captures activator-coactivator interactions in vivo.

Authors:  Malathy Krishnamurthy; Amanda Dugan; Adaora Nwokoye; Yik-Hong Fung; Jody K Lancia; Chinmay Y Majmudar; Anna K Mapp
Journal:  ACS Chem Biol       Date:  2011-11-14       Impact factor: 5.100

9.  Refinement of tools for targeted gene expression in Drosophila.

Authors:  Barret D Pfeiffer; Teri-T B Ngo; Karen L Hibbard; Christine Murphy; Arnim Jenett; James W Truman; Gerald M Rubin
Journal:  Genetics       Date:  2010-08-09       Impact factor: 4.562

10.  Regulation by phosphorylation of the relative affinities of the N-terminal transactivation domains of p53 for p300 domains and Mdm2.

Authors:  D P Teufel; M Bycroft; A R Fersht
Journal:  Oncogene       Date:  2009-04-13       Impact factor: 9.867

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