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1.
Exp Parasitol ; 141: 39-54, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24657575

ABSTRACT

Mechanisms regulating gene expression in malaria parasites are not well understood. Little is known about how the parasite regulates its gene expression during transition from one developmental stage to another and in response to various environmental conditions. Parasites in a diseased host face environments which differ from the static, well adapted in vitro conditions. Parasites thus need to adapt quickly and effectively to these conditions by establishing transcriptional states which are best suited for better survival. With the discovery of natural antisense transcripts (NATs) in this parasite and considering the various proposed mechanisms by which NATs might regulate gene expression, it has been speculated that these might be playing a critical role in gene regulation. We report here the diversity of NATs in this parasite, using isolates taken directly from patients with differing clinical symptoms caused by malaria infection. Using a custom designed strand specific whole genome microarray, a total of 797 NATs targeted against annotated loci have been detected. Out of these, 545 NATs are unique to this study. The majority of NATs were positively correlated with the expression pattern of the sense transcript. However, 96 genes showed a change in sense/antisense ratio on comparison between uncomplicated and complicated disease conditions. The antisense transcripts map to a broad range of biochemical/metabolic pathways, especially pathways pertaining to the central carbon metabolism and stress related pathways. Our data strongly suggests that a large group of NATs detected here are unannotated transcription units antisense to annotated gene models. The results reveal a previously unknown set of NATs that prevails in this parasite, their differential regulation in disease conditions and mapping to functionally well annotated genes. The results detailed here call for studies to deduce the possible mechanism of action of NATs, which would further help in understanding the in vivo pathological adaptations of these parasites.


Subject(s)
Gene Expression Regulation, Developmental/genetics , Malaria, Falciparum/parasitology , Plasmodium falciparum/genetics , RNA, Antisense/analysis , Adolescent , Adult , Chromosome Mapping , Female , Gene Ontology , Genome, Protozoan , Genome-Wide Association Study , Genotyping Techniques , Humans , Malaria, Falciparum/complications , Male , Middle Aged , Molecular Sequence Annotation , Oligonucleotide Array Sequence Analysis , Plasmodium falciparum/classification , Plasmodium falciparum/isolation & purification , Plasmodium falciparum/metabolism , RNA, Antisense/blood , RNA, Protozoan/isolation & purification , Real-Time Polymerase Chain Reaction , Reverse Transcriptase Polymerase Chain Reaction , Transcription, Genetic , Young Adult
2.
Genom Data ; 2: 393-5, 2014 Dec.
Article in English | MEDLINE | ID: mdl-26484136

ABSTRACT

Antisense transcription is pervasive among biological systems and one of the products of antisense transcription is natural antisense transcripts (NATs). Emerging evidences suggest that they are key regulators of gene expression. With the discovery of NATs in Plasmodium falciparum, it has been suggested that these might also be playing regulatory roles in this parasite. However, all the reports describing the diversity of NATs have come from parasites in culture condition except for a recent study published by us. In order to explore the in vivo diversity of NATs in P. falciparum clinical isolates, we performed a whole genome expression profiling using a strand-specific 244 K microarray that contains probes for both sense and antisense transcripts. In this report, we describe the experimental procedure and analysis thereof of the microarray data published recently in Gene Expression Omnibus (GEO) under accession number GSE44921. This published data provide a wealth of information about the prevalence of NATs in P. falciparum clinical isolates from patients with diverse malaria related disease conditions. Supplementary information about the description and interpretation of the data can be found in a recent publication by Subudhi et al. in Experimental Parasitology (2014).

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