ArticleNucleic acids research2013
Genes involved in host-parasite interactions can be revealed by their correlated expression.
Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Pathogenic mechanism of Eimeria tenella EtMIC2 promotes Eimeria tenella invasion and inhibits host cell apoptosis through binding to the ITGAV receptor.Poultry science · 2026Article
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- Dual RNA Sequencing Meta-analysis inmSystems · 2021Article
- Transcriptomic Profiling of Mouse Brain During Acute and Chronic Infections byFrontiers in microbiology · 2020Article
- Past and future trends of Cryptosporidium in vitro research.Experimental parasitology · 2019Review
- Analysis of Predicted Host-Parasite Interactomes Reveals Commonalities and Specificities Related to Parasitic Lifestyle and Tissues Tropism.Frontiers in immunology · 2019Article
- Inter-Species/Host-Parasite Protein Interaction Predictions Reviewed.Current bioinformatics · 2018Review
- Solute carriers affect Anopheles stephensi survival and Plasmodium berghei infection in the salivary glands.Scientific reports · 2017Article
- Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides.BMC bioinformatics · 2015Article
- Computational approaches for prediction of pathogen-host protein-protein interactions.Frontiers in microbiology · 2015Review
- Metabolomics in the fight against malaria.Memorias do Instituto Oswaldo Cruz · 2014Review
- Coregulation of host-response genes in integument: switchover of gene expression correlation pattern and impaired immune responses induced by dipteran parasite infection in the silkworm, Bombyx mori.Journal of applied genetics · 2014Article
- Interspecies protein-protein interaction network construction for characterization of host-pathogen interactions: a Candida albicans-zebrafish interaction study.BMC systems biology · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Molecular interactions between a parasite and its host are key to the ability of the parasite to enter the host and persist. Our understanding of the genes and proteins involved in these interactions is limited. To better understand these processes it would be advantageous to have a range of methods to predict pairs of genes involved in such interactions. Correlated gene expression profiles can be used to identify molecular interactions within a species. Here we have extended the concept to different species, showing that genes with correlated expression are more likely to encode proteins, which directly or indirectly participate in host-parasite interaction. We go on to examine our predictions of molecular interactions between the malaria parasite and both its mammalian host and insect vector. Our approach could be applied to study any interaction between species, for example, between a host and its parasites or pathogens, but also symbiotic and commensal pairings.
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