Skip to main content

A Systems Approach to Discovering Signaling and Regulatory Pathways —or, how to digest large interaction networks into relevant pieces

  • Conference paper
Book cover Advances in Systems Biology

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 547))

Abstract

In the post-genomic era, the first step in any study of protein function is a homology search against the complete genome sequence of the organism of interest. By analogy, if we also wish to elucidate the cadre of signaling and regulatory pathways in the cell, an extremely powerful first step is to construct a complete network of protein-protein and transcriptional interactions and then search through this network to identify critical pathways in a top-down fashion. Like genomic sequence, the molecular interaction network provides a broad foundation for more directed studies to follow. We illustrate this strategy using a large network of 12,232 interactions in yeast. A variety of applications are discussed, including screening the network to identify pathways responsible for gene expression changes observed in galactose-induced cells, and identifying groups of interacting proteins that are essential (by phenotypic assay) for the cellular response to DNA damage.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Bader, G. D., Donaldson, I., Wolting, C, Ouellette, B. F. F., Pawson, T., and Hogue, C. W. V., 2001, BIND-The biomolecular interaction network database, Nucleic Acids Res. 29:242–245.

    Article  PubMed  CAS  Google Scholar 

  • Begley, T. J., Rosenbach, A. S., Ideker, T., and Samson, L. D., 2002, Damage Recovery Pathways In Saccharomyces cerevisiae Revealed by Genomic Phenotyping and Interactome Mapping, Mol. Cancer Res. 1:103–112.

    PubMed  CAS  Google Scholar 

  • Ideker, T., Thorsson, V., Ranish, J. A., Christmas, R., Buhler, J., Eng, J. K., Bumgarner, R., Goodlett, D. R., Aebersold, R., and Hood, L., 2001, Integrated genomic and proteomic analysis of a systematically perturbed metabolic network, Science 292:929–934.

    Article  PubMed  CAS  Google Scholar 

  • Ideker, T., Ozier, O., Schwikowski, B., and Siegel, A. F., 2002, Discovering regulatory and signaling circuits in molecular interaction networks, Bioinformatics 18 Suppl 1:S233–240.

    Article  Google Scholar 

  • Ideker, T., Thorsson, V., Siegel, A. F., and Hood, L., 2000, Testing for differentially-expressed genes by maximum likelihood analysis of microarray data, J. Comput. Biol. 7:805–817.

    Article  PubMed  CAS  Google Scholar 

  • Ito, T., Chiba, T., and Yoshida, M., 2001, Exploring the protein interactome using comprehensive two-hybrid projects, Trends Biotechnol. 19:S23–S27.

    Article  Google Scholar 

  • Lee, T. I., Rinaldi, N. J., Robert, F., Odom, D. T., Bar-Joseph, Z., Gerber, G. K., Hannett, N. M, Harbison, C. T., Thompson, C M., Simon, I., Zeitlinger, J., Jennings, E. G., Murray, H. L., Gordon, D. B., Ren, B., Wyrick, J. J., Tagne, J. B., Volkert, T. L., Fraenkel, E., Gifford, D. K., and Young, R. A., 2002, Transcriptional regulatory networks in Saccharomyces cerevisiae, Science 298:799–804.

    Article  PubMed  CAS  Google Scholar 

  • Lohr, D., Venkov, P., and Zlatanova, J., 1995, Transcriptional regulation in the yeast GAL gene family: a complex genetic network, FASEB J 9:777–787.

    PubMed  CAS  Google Scholar 

  • Mann, M., Hendrickson, R., and Pandey, A., 2001, Analysis of proteins and proteomes by mass spectrometry, Annu. Rev. Biochem. 70:437–473.

    Article  PubMed  CAS  Google Scholar 

  • Wingender, E., Chen, X., Fricke, E., Geffers, R., Hehl, R., Liebich, I., Krull, M, Matys, V., Michael, H., Ohnhauser, R., Pruss, M, Schacherer, F., Thiele, S., and Urbach, S., 2001, The TRANSFAC system on gene expression regulation, Nucleic Acids Res. 29:281–283.

    Article  PubMed  CAS  Google Scholar 

  • Xenarios, I., and Eisenberg, D., 2001, Protein interaction databases, Curr. Opin. Biotechnol. 12:334–339.

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer Science+Business Media New York

About this paper

Cite this paper

Ideker, T. (2004). A Systems Approach to Discovering Signaling and Regulatory Pathways —or, how to digest large interaction networks into relevant pieces. In: Opresko, L.K., Gephart, J.M., Mann, M.B. (eds) Advances in Systems Biology. Advances in Experimental Medicine and Biology, vol 547. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8861-4_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-8861-4_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-4695-1

  • Online ISBN: 978-1-4419-8861-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics