Literature DB >> 15044598

Steroid-responsive sequences in the human glucocorticoid receptor gene 1A promoter.

Chuan-Dong Geng1, Wayne V Vedeckis.   

Abstract

At least three promoters (1A, 1B, and 1C) control the expression of mRNA transcripts for the human glucocorticoid receptor (hGR) protein. An hGR 1A promoter/exon sequence (-218/+269) contains at least 12 deoxyribonuclease (DNase) I footprints that contain bound protein. Whereas four of these footprints (FP6, FP7, FP8, and FP11) contain bound hGR in protein-DNA complexes that are formed, only two (FP7 and FP11) appear to be important for the up-regulation of hGR 1A promoter/exon activity in T-lymphoblasts. Furthermore, the activity of these DNA elements depends upon the promoter context, leading to a redundant and complex regulation of expression of the hGR 1A promoter/exon. FP7 appears to be required for hormonal responsiveness in the absence of upstream sequences (+41/+191), whereas the hormonal responsiveness of FP11 requires a functional, adjacent FP12 DNA sequence. FP12 contains overlapping binding sites for the protooncogene transcription factors c-Myb and c-Ets. It seems likely that binding of either c-Myb or c-Ets to FP12 is necessary for the direct or indirect binding of the hGR to FP11 (a nonconsensus glucocorticoid response element), and the resultant steroid-responsiveness of the hGR 1A promoter/exon sequence. We propose that the identity of the accessory transcription factor bound to FP12 (c-Myb or c-Ets) may determine the nature of regulation (positive or negative) of hGR gene expression by hormone, and that this may be important for hormone-induced apoptosis in T cell acute lymphoblastic leukemia.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15044598     DOI: 10.1210/me.2003-0157

Source DB:  PubMed          Journal:  Mol Endocrinol        ISSN: 0888-8809


  18 in total

1.  Glucocorticoid-induced apoptosis of healthy and malignant lymphocytes.

Authors:  Lindsay K Smith; John A Cidlowski
Journal:  Prog Brain Res       Date:  2010       Impact factor: 2.453

2.  P300 regulates the human RLIP76 promoter activity and gene expression.

Authors:  Archana Sehrawat; Sushma Yadav; Yogesh C Awasthi; Alakananda Basu; Charles Warden; Sanjay Awasthi
Journal:  Biochem Pharmacol       Date:  2013-02-16       Impact factor: 5.858

3.  Use of recombinant cell-permeable small peptides to modulate glucocorticoid sensitivity of acute lymphoblastic leukemia cells.

Authors:  Chuan-dong Geng; Wayne V Vedeckis
Journal:  Biochemistry       Date:  2010-10-19       Impact factor: 3.162

4.  Glucocorticoid receptors in human epicardial adipose tissue: role of coronary status.

Authors:  A Silaghi; H Silaghi; T Scridon; R Pais; V Achard
Journal:  J Endocrinol Invest       Date:  2011-09-30       Impact factor: 4.256

5.  A new, lineage specific, autoup-regulation mechanism for human glucocorticoid receptor gene expression in 697 pre-B-acute lymphoblastic leukemia cells.

Authors:  Chuan-dong Geng; Wayne V Vedeckis
Journal:  Mol Endocrinol       Date:  2010-11-17

Review 6.  Social stress and asthma: the role of corticosteroid insensitivity.

Authors:  Angela Haczku; Reynold A Panettieri
Journal:  J Allergy Clin Immunol       Date:  2010-02-11       Impact factor: 10.793

7.  Glucocorticoid receptor auto-upregulation and its relation with glucocorticoid sensitivity in idiopathic nephrotic syndrome.

Authors:  Peisong Chen; Tang Jiang; Juan Ouyang; Yingpeng Cui
Journal:  Int Urol Nephrol       Date:  2010-04-24       Impact factor: 2.370

Review 8.  Role of the hypothalamic-pituitary-adrenal axis in developmental programming of health and disease.

Authors:  Fuxia Xiong; Lubo Zhang
Journal:  Front Neuroendocrinol       Date:  2012-11-27       Impact factor: 8.606

9.  A conserved molecular mechanism is responsible for the auto-up-regulation of glucocorticoid receptor gene promoters.

Authors:  Chuan-dong Geng; Jason R Schwartz; Wayne V Vedeckis
Journal:  Mol Endocrinol       Date:  2008-10-22

10.  Exploring the transcription factor activity in high-throughput gene expression data using RLQ analysis.

Authors:  Florent Baty; Jochen Rüdiger; Nicola Miglino; Lukas Kern; Peter Borger; Martin Brutsche
Journal:  BMC Bioinformatics       Date:  2013-06-06       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.