Skip to main content

Global Proteomic Profiling and Enrichment Maps of Dilated Cardiomyopathy

  • Protocol
  • First Online:
Heart Proteomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1005))

  • 2250 Accesses

Abstract

Global expression profiling is a promising technique to help uncover perturbations associated with heart disease. With the large amount of expression data generated, we demonstrate how a list of differentially expressed proteins or genes can be translated into a list of perturbed pathways and functions using conventional overrepresentation analysis such as gene set enrichment analysis, DAVID, and BiNGO. As outputs from ORA can be daunting in themselves, we further demonstrate how to visualize enrichment results as Enrichment Maps for easy interpretation and analysis.

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

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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

References

  1. Huangda W, Sherman BT, Lempicki RA (2009) Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res 37:1–13

    Article  Google Scholar 

  2. Maere S, Heymans K, Kuiper M (2005) BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks. Bioinformatics 21:3448–3449

    Article  PubMed  CAS  Google Scholar 

  3. Dennis G Jr et al (2003) DAVID: database for annotation, visualization, and integrated discovery. Genome Biol 4:P3

    Article  PubMed  Google Scholar 

  4. Subramanian A et al (2005) Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA 102:15545–15550

    Article  PubMed  CAS  Google Scholar 

  5. Merico D et al (2010) Enrichment map: a ­network-based method for gene-set enrichment visualization and interpretation. PLoS One 5:e13984

    Article  PubMed  Google Scholar 

  6. Isserlin R et al (2010) Pathway analysis of dilated cardiomyopathy using global proteomic profiling and enrichment maps. Proteomics 10:1316–1327

    Article  PubMed  CAS  Google Scholar 

  7. Gramolini AO et al (2008) Comparative proteomics profiling of a phospholamban mutant mouse model of dilated cardiomyopathy reveals progressive intracellular stress responses. Mol Cell Proteomics 7:519–533

    PubMed  CAS  Google Scholar 

  8. Oesper L et al (2011) WordCloud: a Cytoscape plugin to create a visual semantic summary of networks. Source Code Biol Med 6:7

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this protocol

Cite this protocol

Isserlin, R., Merico, D., Emili, A. (2013). Global Proteomic Profiling and Enrichment Maps of Dilated Cardiomyopathy. In: Vivanco, F. (eds) Heart Proteomics. Methods in Molecular Biology, vol 1005. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-386-2_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-62703-386-2_5

  • Published:

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-62703-385-5

  • Online ISBN: 978-1-62703-386-2

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics