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PCR DNA-Array Profiling of DNA-Binding Transcription Factor Activities in Adult Mouse Tissues

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PCR Protocols

Part of the book series: Methods in Molecular Biology ((MIMB,volume 687))

Abstract

Differential gene expression is tightly controlled by transcription factors (TFs), which bind close to target genes and interact together to activate and coregulate transcription. Bioinformatics analysis of published genome-wide gene expression data has allowed the development of comprehensive models of TFs likely to be active in particular tissues (signature TFs); however, the predicted activities of many of the TFs have not been experimentally confirmed. Here, we describe methods for the parallel analysis of the activities of more than 200 transcription factor proteins, using an advanced oligonucleotide array-based transcription factor assay (OATFA) platform, to assay TF activities in mice. The system uses a PCR-based system to translate cellular levels of target DNA–TF complex into a dye-tagged DNA signal, which is read by the developed microarray. The PCR step introduces semiquantitative amplification of the represented TF binding sequences. Experimental OATFA findings can identify many TF activities, which bioinformatics profiling does not predict. Newly identified TF activities can be confirmed by antibody-ELISA against active TFs. The PCR-based OATFA microarray analysis is a comprehensive method that can be used to reveal transcriptional systems and pathways which may function in different mammalian tissues and cells.

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References

  1. Wasserman, W.W. and Fickett, J.W. (1998) Identification of regulatory regions which confer muscle-specific gene expression. J Mol Biol 278, 167–81.

    Article  PubMed  CAS  Google Scholar 

  2. Thompson, W., Palumbo, M.J., Wasserman, W.W., Liu, J.S., and Lawrence, C.E. (2004) Decoding human regulatory circuits. Genome Res 14, 1967–74.

    Article  PubMed  CAS  Google Scholar 

  3. Lein, E.S., Hawrylycz, M.J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A.F., Boguski, M.S., Brockway, K.S., Byrnes, E.J., Chen, L., Chen, L., Chen, T.M., Chin, M.C., et al. (2007) Genome-wide atlas of gene expression in the adult mouse brain. Nature 445, 168–76.

    Article  PubMed  CAS  Google Scholar 

  4. Krivan, W. and Wasserman, W.W. (2001) A predictive model for regulatory sequences directing liver-specific transcription. Genome Res 11, 1559–66.

    Article  PubMed  CAS  Google Scholar 

  5. Shao, W., Wei, H.J., Qiao, J.Y., Zhao, Y.C., Sun, Y.M., Zhou, Y.X., and Cheng, J. (2005) Parallel profiling of active transcription factors using an oligonucleotide array-based transcription factor assay (OATFA). J Proteome Res 4, 1451–6.

    Article  PubMed  CAS  Google Scholar 

  6. Egener, T., Roulet, E., Zehnder, M., Bucher, P., and Mermod, N. (2005) Proof of concept for microarray-based detection of DNA-binding oncogenes in cell extracts. Nucleic Acids Res 33, e79.

    Article  PubMed  Google Scholar 

  7. Qiao, J.Y., Shao, W., Wei, H.J., Sun, Y.M., Zhao, Y.C., Zhang, L., Mitchelson, K., and Cheng, J. (2008) Novel high-throughput profiling of human transcription factors and its use for systematic pathway mapping. J Proteome Res 7, 2769–79.

    Article  PubMed  CAS  Google Scholar 

  8. Sun, Y.M., Zhang, Y., Zeng, L.Q., Wu, J.P., Wei, L., Ren, A.H., Shao, W., Qiao, J.Y., Zhao, Y.C., Zhang, L., Mitchelson, K.R., and Cheng, J. (2008) Broad profiling of DNA-binding transcription factor activities improves regulatory network construction in adult mouse tissues. J Proteome Res 7, 4455–64.

    Article  PubMed  CAS  Google Scholar 

  9. Smith, L., Underhill, P., Pritchard, C., Tymowska-Lalanne, Z., Abdul-Hussein, S., Hilton, H., Winchester, L., Williams, D., Freeman, T., Webb, S., and Greenfield, A. (2003) Single primer amplification (SPA) of cDNA for microarray expression analysis. Nucleic Acids Res 31, e9.

    Article  PubMed  Google Scholar 

  10. Saldanha, A.J. (2004) Java Treeview-extensible visualization of microarray data. Bioinformatics 20, 3246–8.

    Article  PubMed  CAS  Google Scholar 

  11. Zhang, W., Morris, Q.D., Chang, R., Shai, O., Bakowski, M.A., Mitsakakis, N., Mohammad, N., Robinson, M.D., Zirngibl, R., Somogyi, E., Laurin, N., Eftekharpour, E., Sat, E., Grigull, J., Pan, Q., Peng, W.T., Krogan, N., Greenblatt, J., Fehlings, M., Kooy, D., Aubin, J., Bruneau, B.G., Rossant, J., Blencowe, B.J., Frey, B.J., and Hughes, T.R. (2004) The ­functional landscape of mouse gene expression. J Biol 3, 21.

    Article  PubMed  Google Scholar 

  12. Ho Sui, S.J., Mortimer, J.R., Arenillas, D.J., Brumm, J., Walsh, C.J., Kennedy, B.P., and Wasserman, W.W. (2005) oPOSSUM: identification of over-represented transcription factor binding sites in co-expressed genes. Nucleic Acids Res 33, 3154–64.

    Article  PubMed  Google Scholar 

  13. Yu, X., Lin, J., Zack, D.J., and Qian, J. (2006) Computational analysis of tissue-specific combinatorial gene regulation: predicting interaction between transcription factors in human tissues. Nucleic Acids Res 34, 4925–36.

    Article  PubMed  CAS  Google Scholar 

  14. Smith, A.D., Sumazin, P., and Zhang, M.Q. (2007) Tissue-specific regulatory elements in mammalian promoters. Mol Syst Biol 3, 73.

    PubMed  Google Scholar 

  15. Barrera, L.O., Li, Z., Smith, A.D., Arden, K.C., Cavenee, W.K., Zhang, M.Q., Green, R.D., and Ren, B. (2008) Genome-wide mapping and analysis of active promoters in mouse embryonic stem cells and adult organs. Genome Res 18, 46–59.

    Article  PubMed  CAS  Google Scholar 

  16. Su, A.I., Wiltshire, T., Batalov, S., Lapp, H., Ching, K.A., Block, D., Zhang, J., Soden, R., Hayakawa, M., Kreiman, G., Cooke, M.P., Walker, J.R., and Hogenesch, J.B. (2004) A gene atlas of the mouse and human protein-encoding transcriptomes. Proc Natl Acad Sci USA 101, 6062–7.

    Article  PubMed  CAS  Google Scholar 

  17. Yang, H.L., Zhao, R.Y., Yang, H.Y., and Lee, M.H. (2005) Constitutively active FOXO4 inhibits Akt activity, regulates p21 Kip1 stability, and suppresses HER2-mediated tumorigenicity. Oncogene 24, 1924–35.

    Article  PubMed  CAS  Google Scholar 

  18. Weintraub, H., Dwarki, V.J., Verma, I., Davis, R., Hollenberg, S., Snider, L., Lassar, A., and Tapscott, S.J. (1991) Muscle-specific transcriptional activation by MyoD. Genes Dev 5, 1377–86.

    Article  PubMed  CAS  Google Scholar 

  19. Kolkman, A., Slijper, M., and Heck, A.J. (2005) Development and application of proteomics technologies in Saccharomyces cerevisiae. Trends Biotechnol 23, 598–604.

    Article  PubMed  CAS  Google Scholar 

  20. Metropolis, N., Rosenbluth, A.W., Rosenbluth, M.N., Teller, A.H., and Teller, E. (1953) Equation of state calculations by fast computing machines. J Chem Phys 21, 1087–92.

    Article  CAS  Google Scholar 

  21. Kirkpatrick, S., Gelatt, C.D., and Vecchi, M.P. (1983) Optimization by simulated annealing. Science 220, 671–80.

    Article  PubMed  CAS  Google Scholar 

  22. Wingender, E., Chen, X., Hehl, R., Karas, H., Liebich, I., Matys, V., Meinhardt, T., Pru, M., Reuter, I., and Schacherer, F. (2000) TRANSFAC: an integrated system for gene expression regulation. Nucleic Acids Res 28, 316–9.

    Article  PubMed  CAS  Google Scholar 

  23. Matys, V., Fricke, E., Geffers, R., Gössling, E., Haubrock, M., Hehl, R., Hornischer, K., Karas, D., Kel, A.E., Kel-Margoulis, O.V., et al. (2003) TRANSFAC®: transcriptional regulation, from patterns to profiles. Nucleic Acids Res 31, 374–8.

    Article  PubMed  CAS  Google Scholar 

  24. Ho Sui, S.J., Fulton, D.L., Arenillas, D.J., Kwon, A.T., and Wasserman, W.W. (2007) oPOSSUM: integrated tools for analysis of regulatory motif over-representation. Nucleic Acids Res 35 (Web Server issue), W245–52.

    Article  PubMed  Google Scholar 

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Acknowledgments

This work was supported by the grant of the National Hi-Tech Program of China (No. 2006AA020701).

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© 2011 Humana Press

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Sun, Y., Cheng, J., Mitchelson, K.R. (2011). PCR DNA-Array Profiling of DNA-Binding Transcription Factor Activities in Adult Mouse Tissues. In: Park, D. (eds) PCR Protocols. Methods in Molecular Biology, vol 687. Humana Press. https://doi.org/10.1007/978-1-60761-944-4_23

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  • DOI: https://doi.org/10.1007/978-1-60761-944-4_23

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60761-943-7

  • Online ISBN: 978-1-60761-944-4

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