Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: De Souza, Rebecca A.G.a; 1 | Kosior, Nataliaa; 1 | Thomson, Sarah B.a | Mathelier, Anthonya | Zhang, Allen W.a | Bečanović, Kristinab | Wasserman, Wyeth W.a | Leavitt, Blair R.a; *
Affiliations: [a] Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital, University of British Columbia, Vancouver, BC, Canada | [b] Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
Correspondence: [*] Correspondence to: Blair R. Leavitt, Center for Molecular Medicine and Therapeutics. 950 West 28th Avenue, Room 2020, Vancouver, BC V5Z 4H4, Canada. Tel.: +1 604 875 3801; Fax: +1 604 875 3840; E-mail: [email protected].
Note: [1] These authors contributed equally to this work.
Abstract: Background:Huntington’s disease is a late onset neurological disorder caused by a trinucleotide CAG repeat expansion mutation in the HTT gene encoding for the protein huntingtin. Despite considerable ongoing research, the wild-type function of huntingtin is not yet fully understood. Objective:To improve knowledge of HTT gene regulation at the transcriptional level and inform future studies aimed at uncovering the HTT gene’s normal function. Methods:The HTT gene region was functionally characterized through an in silico analysis using publicly available data sets. ChIP-seq data sets and the online STRING database were used to identify putative transcription factor binding sites (TFBSs) and protein-protein interactions within the HTT promoter region. siRNA-mediated knockdown and ChIP-qPCR of STAT1, a TF identified from the in silico analysis, were used to validate the bioinformatics screen. Results:16 regions containing potential regulatory genomic markers were identified. TFBSs for 59 transcription factors (TFs) were detected in one or more of the 16 candidate regions. Using these TFs, 15 clusters of protein-protein interactions were identified using STRING. siRNA-mediated knockdown of STAT1 resulted in an increase in HTT expression, and ChIP-qPCR detected enrichment of STAT1 binding at one of the predicted regions. These assays confirmed the utility of the bioinformatic analysis. Conclusions:Putative regulatory regions outside of the immediate HTT promoter region have been identified with specific protein-protein interactions. Future work will focus on in vitro and in vivo studies to examine the effect of modulating identified TFBSs and altering the levels of specific TFs of interest in regulating HTT gene expression.
Keywords: Gene regulation, transcription factors, computational biology, ENCODE, Huntington’s disease
DOI: 10.3233/JHD-170272
Journal: Journal of Huntington's Disease, vol. 7, no. 3, pp. 223-237, 2018
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]