Proteomes and transcriptomes of the Apicomplexa--where's the message?

J M Wastling, D Xia, A Sohal, M Chaussepied, A Pain, G Langsley

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

The Apicomplexa have some of the most comprehensive and integrated proteome datasets of all pathogenic micro-organisms. Coverage is currently at a level where these data can be used to help predict the potential biological function of proteins in these parasites, without having to defer to measurement of mRNA levels. Transcriptomic data for the Apicomplexa (microarrays, expressed sequence tag (EST) collections, serial analysis of gene expression (SAGE) and massively parallel signature sequencing (MPSS) tags) are also copious, enabling us to investigate the extent to which global mRNA levels correlate with proteomic data. Here, we present a proteomic and transcriptomic perspective of gene expression in key apicomplexan parasites, including Plasmodium spp., Toxoplasma gondii, Cryptosporidium parvum, Neospora caninum and Theileria spp., and discuss the alternative views of gene expression that they provide. Although proteomic evidence does not exist for every gene, many examples of readily detected proteins whose corresponding genes display little or no detectable transcription, are seen across the Apicomplexa. These examples are not easily explained by the "guilt by association", or "stock and go" hypotheses of gene transcription. With the advent of ultra-high-throughput sequencing technologies there will be a quantum shift in transcriptional analysis which, combined with improving quantitative proteome datasets, will provide a core component of a systems-wide approach to studying the Apicomplexa.
Original languageEnglish
Pages (from-to)135-43
Number of pages9
JournalInternational Journal For Parasitology
Issue number2
Publication statusPublished - Jan 2009

Keywords / Materials (for Non-textual outputs)

  • Animals
  • Apicomplexa
  • Cryptosporidium parvum
  • Gene Expression
  • Gene Expression Profiling
  • Humans
  • Neospora
  • Plasmodium
  • Proteome
  • Proteomics
  • Theileria
  • Toxoplasma


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