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Computational and in Vitro Analysis of Destabilized DNA Regions in the Interferon Gene Cluster:  Potential of Predicting Functional Gene Domains

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German Research Center for Biotechnology/Epigenetic Regulation, Mascheroder Weg 1, D-38124 Braunschweig, Germany, and University of California Davis Genome Center, Davis, California 95616-8536
Cite this: Biochemistry 2003, 42, 1, 154–166
Publication Date (Web):December 13, 2002
https://doi.org/10.1021/bi026496+
Copyright © 2003 American Chemical Society

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    Abstract

    Recent evidence adds support to a traditional concept according to which the eukaryotic nucleus is organized into functional domains by scaffold or matrix attachment regions (S/MARs). These regions have previously been predicted to have a high potential for stress-induced duplex destabilization (SIDD). Here we report the parallel results of binding (reassociation) and computational SIDD analyses for regions within the human interferon gene cluster on the short arm of chromosome 9 (9p22). To verify and further refine the biomathematical methods, we focus on a 10 kb region in the cluster with the pseudogene IFNWP18 and the interferon α genes IFNA10 and IFNA7. In a series of S/MAR binding assays, we investigate the promoter and termination regions and additional attachment sequences that were detected in the SIDD profile. The promoters of the IFNA10 and the IFNA7 genes have a moderate ∼20% binding affinity to the nuclear matrix; the termination sequences show stronger association (70−80%) under our standardized conditions. No comparable destabilized elements were detected flanking the IFNWP18 pseudogene, suggesting that selective pressure acts on the physicochemical properties detected here. In extended, noncoding regions a striking periodicity is found of rather restricted SIDD minima with scaffold binding potential. By various criteria, the underlying sequences represent a new class of S/MARs, thought to be involved in a higher level organization of the genome. Together, these data emphasize the relevance of SIDD calculations as a valid approach for the localization of structural, regulatory, and coding regions in the eukaryotic genome.

     This work was supported by grants from Deutsche Forschungsgemeinschaft (Bo 419/6-1/-2) and BMBF (01 KW 0003).

     German Research Center for Biotechnology/Epigenetic Regulation.

    §

     UC Davis Genome Center; e-mail [email protected].

    *

     Corresponding author:  e-mail [email protected]; telephone +49 531 6181 251; fax +49 531 6181 262.

    Cited By

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    2. Adarsha Koirala, Shannon M. Conley, Muna I. Naash. A review of therapeutic prospects of non-viral gene therapy in the retinal pigment epithelium. Biomaterials 2013, 34 (29) , 7158-7167. https://doi.org/10.1016/j.biomaterials.2013.06.002
    3. M Buceta, J L Galbete, C Kostic, Y Arsenijevic, N Mermod. Use of human MAR elements to improve retroviral vector production. Gene Therapy 2011, 18 (1) , 7-13. https://doi.org/10.1038/gt.2010.115
    4. Amelia K. Linnemann, Adrian E. Platts, Stephen A. Krawetz. Differential nuclear scaffold/matrix attachment marks expressed genes†. Human Molecular Genetics 2009, 18 (4) , 645-654. https://doi.org/10.1093/hmg/ddn394
    5. Tali E. Haran, Udayan Mohanty. The unique structure of A-tracts and intrinsic DNA bending. Quarterly Reviews of Biophysics 2009, 42 (1) , 41-81. https://doi.org/10.1017/S0033583509004752
    6. A. Gluch, M. Vidakovic, J. Bode. Scaffold/Matrix Attachment Regions (S/MARs): Relevance for Disease and Therapy. 2008, 67-103. https://doi.org/10.1007/978-3-540-72843-6_4
    7. Kenneth Evans, Sascha Ott, Annika Hansen, Georgy Koentges, Lorenz Wernisch. A comparative study of S/MAR prediction tools. BMC Bioinformatics 2007, 8 (1) https://doi.org/10.1186/1471-2105-8-71
    8. Jürgen Bode, Silke Winkelmann, Sandra Götze, Steven Spiker, Ken Tsutsui, Chengpeng Bi, Prashanth A.K., Craig Benham. Correlations between Scaffold/Matrix Attachment Region (S/MAR) Binding Activity and DNA Duplex Destabilization Energy. Journal of Molecular Biology 2006, 358 (2) , 597-613. https://doi.org/10.1016/j.jmb.2005.11.073
    9. Martin Klar, Eric Stellamanns, Prashanth AK, Angela Gluch, Juergen Bode. Dominant genomic structures: Detection and potential signal functions in the interferon-beta domain. Gene 2005, 364 , 79-89. https://doi.org/10.1016/j.gene.2005.07.023
    10. Chassidy N Johnson, Laura S Levy. Matrix attachment regions as targets for retroviral integration. Virology Journal 2005, 2 (1) https://doi.org/10.1186/1743-422X-2-68
    11. Dominic J. Glover, Hans J. Lipps, David A. Jans. Towards safe, non-viral therapeutic gene expression in humans. Nature Reviews Genetics 2005, 6 (4) , 299-310. https://doi.org/10.1038/nrg1577
    12. Sandra Goetze, Alexandra Baer, Silke Winkelmann, Kristina Nehlsen, Jost Seibler, Karin Maass, Jürgen Bode. Performance of Genomic Bordering Elements at Predefined Genomic Loci. Molecular and Cellular Biology 2005, 25 (6) , 2260-2272. https://doi.org/10.1128/MCB.25.6.2260-2272.2005
    13. H.J Lipps, A.C.W Jenke, K Nehlsen, M.F Scinteie, I.M Stehle, J Bode. Chromosome-based vectors for gene therapy. Gene 2003, 304 , 23-33. https://doi.org/10.1016/S0378-1119(02)01215-5

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