Literature DB >> 15062576

Agonist-antagonist induced coactivator and corepressor interplay on the human androgen receptor.

Helmut Dotzlaw1, Maria Papaioannou, Udo Moehren, Frank Claessens, Aria Baniahmad.   

Abstract

The human androgen receptor (AR) is a member of the nuclear hormone receptor superfamily. However, in contrast to other members of this family the amino-(N)-terminus of AR harbors the major transactivation function. Previously we have shown that hormone antagonists that bind to the carboxy-terminal ligand-binding domain repress AR through recruitment of corepressors that are recruited to the receptor N-terminus. Here we show by a modified mammalian two-hybrid system that both the AR interacting domains of the coactivator SRC1 and of the corepressor SMRT compete for interaction with the AR N-terminus. In contrast to other members of the nuclear receptor superfamily the LXXLL motifs of SRC1e are not required for this interaction, instead a stretch of 135 amino acids of the glutamine rich region (Qr) of SRC1e is essential to bind to the AR N-terminus. We show that the Qr-region of SRC1 is able to inhibit the interaction of SMRT with AR. Also, we demonstrate that the corepressor mediated repression decreases the antagonist-induced transactivation while, surprisingly, it increases the agonist-induced transactivation. This may indicate that coactivators and corepressors act in concert to dictate the overall receptor-mediated action dependent on the type of ligand.

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Year:  2003        PMID: 15062576     DOI: 10.1016/j.mce.2003.10.036

Source DB:  PubMed          Journal:  Mol Cell Endocrinol        ISSN: 0303-7207            Impact factor:   4.102


  11 in total

1.  NBBS isolated from Pygeum africanum bark exhibits androgen antagonistic activity, inhibits AR nuclear translocation and prostate cancer cell growth.

Authors:  Maria Papaioannou; Sonja Schleich; Daniela Roell; Undine Schubert; Tamzin Tanner; Frank Claessens; Rudolf Matusch; Aria Baniahmad
Journal:  Invest New Drugs       Date:  2009-09-23       Impact factor: 3.850

2.  Structural basis for nuclear receptor corepressor recruitment by antagonist-liganded androgen receptor.

Authors:  Myles C Hodgson; Howard C Shen; Anthony N Hollenberg; Steven P Balk
Journal:  Mol Cancer Ther       Date:  2008-10       Impact factor: 6.261

3.  A novel androgen receptor amino terminal region reveals two classes of amino/carboxyl interaction-deficient variants with divergent capacity to activate responsive sites in chromatin.

Authors:  Eleanor F Need; Howard I Scher; Amelia A Peters; Nicole L Moore; Albert Cheong; Charles J Ryan; Gary A Wittert; Villis R Marshall; Wayne D Tilley; Grant Buchanan
Journal:  Endocrinology       Date:  2009-03-12       Impact factor: 4.736

4.  The silencing mediator of retinoic acid and thyroid hormone receptor (SMRT) corepressor is required for full estrogen receptor alpha transcriptional activity.

Authors:  Theresa J Peterson; Sudipan Karmakar; Margaret C Pace; Tong Gao; Carolyn L Smith
Journal:  Mol Cell Biol       Date:  2007-06-25       Impact factor: 4.272

Review 5.  Inhibition of the Androgen Receptor by Antiandrogens in Spinobulbar Muscle Atrophy.

Authors:  Aria Baniahmad
Journal:  J Mol Neurosci       Date:  2015-11-12       Impact factor: 3.444

Review 6.  Recent Advances in Drug Design and Drug Discovery for Androgen- Dependent Diseases.

Authors:  Marisa Cabeza; Araceli Sánchez-Márquez; Mariana Garrido; Aylín Silva; Eugene Bratoeff
Journal:  Curr Med Chem       Date:  2016       Impact factor: 4.530

Review 7.  Androgen Receptor-Dependent Mechanisms Mediating Drug Resistance in Prostate Cancer.

Authors:  Marzieh Ehsani; Faith Oluwakemi David; Aria Baniahmad
Journal:  Cancers (Basel)       Date:  2021-03-26       Impact factor: 6.639

Review 8.  The coregulator Alien.

Authors:  Maria Papaioannou; Christian Melle; Aria Baniahmad
Journal:  Nucl Recept Signal       Date:  2007-11-30

Review 9.  Adaptive responses of androgen receptor signaling in castration-resistant prostate cancer.

Authors:  Sven Perner; Marcus V Cronauer; Andres Jan Schrader; Helmut Klocker; Zoran Culig; Aria Baniahmad
Journal:  Oncotarget       Date:  2015-11-03

10.  Molecular Image-Based Prediction Models of Nuclear Receptor Agonists and Antagonists Using the DeepSnap-Deep Learning Approach with the Tox21 10K Library.

Authors:  Yasunari Matsuzaka; Yoshihiro Uesawa
Journal:  Molecules       Date:  2020-06-15       Impact factor: 4.411

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