ArticleBMC genomics2011
Chromatin-driven de novo discovery of DNA binding motifs in the human malaria parasite.
Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- What functional genomics has taught us about transcriptional regulation in malaria parasites.Briefings in functional genomics · 2019Review
- Characterization of the accessible genome in the human malaria parasite Plasmodium falciparum.Nucleic acids research · 2018Article
- Chromatin Accessibility-Based Characterization of the Gene Regulatory Network Underlying Plasmodium falciparum Blood-Stage Development.Cell host & microbe · 2018Article
- Genome-wide analysis of the human malaria parasiteOncotarget · 2017Article
- Comparative transcriptomics of female and male gametocytes in Plasmodium berghei and the evolution of sex in alveolates.BMC genomics · 2017Article
- Red Blood Cell Invasion by the Malaria Parasite Is Coordinated by the PfAP2-I Transcription Factor.Cell host & microbe · 2017Article
- Cluster analysis ofF1000Research · 2016Article
- The Babesia bovis gene and promoter model: an update from full-length EST analysis.BMC genomics · 2014Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundDespite extensive efforts to discover transcription factors and their binding sites in the human malaria parasite Plasmodium falciparum, only a few transcription factor binding motifs have been experimentally validated to date. As a consequence, gene regulation in P. falciparum is still poorly understood. There is now evidence that the chromatin architecture plays an important role in transcriptional control in malaria.
resultsWe propose a methodology for discovering cis-regulatory elements that uses for the first time exclusively dynamic chromatin remodeling data. Our method employs nucleosome positioning data collected at seven time points during the erythrocytic cycle of P. falciparum to discover putative DNA binding motifs and their transcription factor binding sites along with their associated clusters of target genes. Our approach results in 129 putative binding motifs within the promoter region of known genes. About 75% of those are novel, the remaining being highly similar to experimentally validated binding motifs. About half of the binding motifs reported show statistically significant enrichment in functional gene sets and strong positional bias in the promoter region.
conclusionExperimental results establish the principle that dynamic chromatin remodeling data can be used in lieu of gene expression data to discover binding motifs and their transcription factor binding sites. Our approach can be applied using only dynamic nucleosome positioning data, independent from any knowledge of gene function or expression.
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