Email updates

Keep up to date with the latest news and content from BMC Genomics and BioMed Central.

Open Access Research article

In silico and biological survey of transcription-associated proteins implicated in the transcriptional machinery during the erythrocytic development of Plasmodium falciparum

Emmanuel Bischoff12 and Catherine Vaquero3

Author Affiliations

1 Institut Pasteur, Unité d'Immunologie Moléculaire des Parasites, CNRS URA 2581, 25-28 rue du Dr Roux, 75724, Paris cedex 15, France

2 Institut Pasteur, Unité de Génétique et Génomique des Insectes Vecteurs, CNRS URA 3012, 25-28 rue du Dr Roux, 75724, Paris cedex 15, France

3 UMRS 945, Inserm & Université Pierre et Marie Curie (UPMC Paris 6), 91 Bd de l'Hôpital, 75013 Paris, France

BMC Genomics 2010, 11:34  doi:10.1186/1471-2164-11-34

Published: 15 January 2010

Abstract

Background

Malaria is the most important parasitic disease in the world with approximately two million people dying every year, mostly due to Plasmodium falciparum infection. During its complex life cycle in the Anopheles vector and human host, the parasite requires the coordinated and modulated expression of diverse sets of genes involved in epigenetic, transcriptional and post-transcriptional regulation. However, despite the availability of the complete sequence of the Plasmodium falciparum genome, we are still quite ignorant about Plasmodium mechanisms of transcriptional gene regulation. This is due to the poor prediction of nuclear proteins, cognate DNA motifs and structures involved in transcription.

Results

A comprehensive directory of proteins reported to be potentially involved in Plasmodium transcriptional machinery was built from all in silico reports and databanks. The transcription-associated proteins were clustered in three main sets of factors: general transcription factors, chromatin-related proteins (structuring, remodelling and histone modifying enzymes), and specific transcription factors. Only a few of these factors have been molecularly analysed. Furthermore, from transcriptome and proteome data we modelled expression patterns of transcripts and corresponding proteins during the intra-erythrocytic cycle. Finally, an interactome of these proteins based either on in silico or on 2-yeast-hybrid experimental approaches is discussed.

Conclusion

This is the first attempt to build a comprehensive directory of potential transcription-associated proteins in Plasmodium. In addition, all complete transcriptome, proteome and interactome raw data were re-analysed, compared and discussed for a better comprehension of the complex biological processes of Plasmodium falciparum transcriptional regulation during the erythrocytic development.