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Identification of recognition sites for Myc/Max/Mxd network proteins by a whole human chromosome 19 selection strategy

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Abstract

In this study, we have identified 20 human sequences containing Myc network binding sites in a library from the whole human chromosome 19. We demonstrated binding of the Max protein to these sequences both in vitro and in vivo. The majority of the identified sequences contained one or several CACGTG or CATGTG E-boxes. Several of these sites were located within introns or in their vicinity and the corresponding genes were found to be up-or down-regulated in differentiating HL-60 cells. Our data show the proof of principle for using this strategy in identification of Max target genes, and this method can also be applied for other transcription factors.

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Abbreviations

BSA:

bovine serum albumin

ChIP:

chromatin immunoprecipitation assay

DMSO:

dimethylsulfoxide

DTT:

dithiothreitol

EMSA:

electrophoretic mobility shift assay

MPC:

magnetic particle concentrator

PBS:

phosphate buffered saline

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Author information

Authors and Affiliations

  1. Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, ul. Miklukho-Maklaya 16/10, 117997, Moscow, Russia

    S. B. Akopov, I. P. Chernov, M. B. Kostina & L. G. Nikolaev

  2. Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Box 280, SE-17177, Stockholm, Sweden

    S. B. Akopov, I. P. Chernov, T. Wahlström, G. Klein & M. Henriksson

Authors
  1. S. B. Akopov
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  2. I. P. Chernov
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  3. T. Wahlström
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  4. M. B. Kostina
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  5. G. Klein
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  6. M. Henriksson
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  7. L. G. Nikolaev
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Corresponding author

Correspondence to L. G. Nikolaev.

Additional information

Published in Russian in Biokhimiya, 2008, Vol. 73, No. 11, pp. 1569–1579.

Originally published in Biochemistry (Moscow) On-Line Papers in Press, as Manuscript BM08-074, October 12, 2008.

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Akopov, S.B., Chernov, I.P., Wahlström, T. et al. Identification of recognition sites for Myc/Max/Mxd network proteins by a whole human chromosome 19 selection strategy. Biochemistry Moscow 73, 1260–1268 (2008). https://doi.org/10.1134/S0006297908110138

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  • DOI: https://doi.org/10.1134/S0006297908110138

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