Skip to main content

Transcript Profiling Using ESTs from Paracoccidioides brasiliensis in Models of Infection

  • Protocol
  • First Online:
Host-Fungus Interactions

Abstract

Transcript profiling is an invaluable strategy to study differential gene expression. Here we describe a detailed protocol for applying a subtractive hybridization technique, representational difference analysis (RDA), as a molecular strategy for the identification of differentially expressed genes in studies of host-fungus interaction. Bioinformatics tools that can be used in the analysis of expressed sequence tags (ESTs) are also detailed.

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 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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. Lisitsyn, N.A.(1995) Representational difference analysis: finding the differences between genomes. Trends Genet. 11(8): 303–7.

    Article  CAS  Google Scholar 

  2. Hubank, M. and D.G. Schatz (1994) Identifying differences in mRNA expression by representational difference analysis of cDNA. Nucleic Acids Res. 22(25): 5640–8.

    Article  CAS  Google Scholar 

  3. Pastorian, K., L. Hawel, 3rd, and C.V. Byus (2000) Optimization of cDNA representational difference analysis for the identification of differentially expressed mRNAs. Anal Biochem. 283(1): 89–98.

    Article  CAS  Google Scholar 

  4. Cano, L.E., L.M. Singer-Vermes, C.A. Vaz, M. Russo and V.L. Calich (1995) Pulmonary paracoccidioidomycosis in resistant and susceptible mice: relationship among progression of infection, bronchoalveolar cell activation, cellular immune response, and specific isotype patterns. Infect Immun. 63(5): 1777–83.

    Article  CAS  Google Scholar 

  5. Fradin, C., M. Kretschmar, T. Nichterlein, C. Gaillardin, C. d’Enfert and B. Hube (2003) Stage-specific gene expression of Candida albicans in human blood. Mol Microbiol. 47(6): 1523–43.

    Article  CAS  Google Scholar 

  6. Ewing, B. and P. Green (1998) Base-calling of automated sequencer traces using phred. II. Error probabilities. Genome Res. 8(3): 186–94.

    Article  CAS  Google Scholar 

  7. Altschul, S.F.,T.L. Madden, A.A. Schaffer, J. Zhang, Z. Zhang, W. Miller and D.J. Lipman (1997) Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 25(17): 3389–402.

    Article  CAS  Google Scholar 

  8. Audic, S. and J.M. Claverie (1997) The significance of digital gene expression profiles. Genome Res. 7(10): 986–95.

    Article  CAS  Google Scholar 

  9. Costa, M., C.L. Borges, A.M. Bailão, G.V. Meirelles, Y.A. Mendonca, S.F Dantas, F.P. de Faria, et al. (2007) Transcriptome profiling of Paracoccidioides brasiliensis yeast-phase cells recovered from infected mice brings new insights into fungal response upon host interaction. Microbiology. 153: 4194–207.

    Article  CAS  Google Scholar 

  10. Bailão, A.M., A. Schrank, C.L. Borges, V. Dutra, E.E. Walquiria Ines Molinari-Madlum, M.S. Soares Felipe, M.J. Soares Mendes-Gianinni, et al.(2006) Differential gene expression by Paracoccidioides brasiliensis in host interaction conditions: representational difference analysis identifies candidate genes associated with fungal pathogenesis. Microbes Infect. 8: 2686–97.

    Google Scholar 

  11. Ashburner, M., C.A. Ball, J.A. Blake, D. Botstein, H. Butler, J.M. Cherry, A.P Davis, et al.(2000) Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 25: 25–9.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Célia Maria de Almeida Soares .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Bailão, A.M., Pereira, M., Salem-Izacc, S.M., Borges, C.L., de Almeida Soares, C.M. (2012). Transcript Profiling Using ESTs from Paracoccidioides brasiliensis in Models of Infection. In: Brand, A., MacCallum, D. (eds) Host-Fungus Interactions. Methods in Molecular Biology, vol 845. Humana, Totowa, NJ. https://doi.org/10.1007/978-1-61779-539-8_26

Download citation

  • DOI: https://doi.org/10.1007/978-1-61779-539-8_26

  • Published:

  • Publisher Name: Humana, Totowa, NJ

  • Print ISBN: 978-1-61779-538-1

  • Online ISBN: 978-1-61779-539-8

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics