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An in vivo transcriptome data set of natural antisense transcripts from Plasmodium falciparum clinical isolates

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 sugge...

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Detalles Bibliográficos
Autores principales: Subudhi, Amit Kumar, Boopathi, P.A., Garg, Shilpi, Middha, Sheetal, Acharya, Jyoti, Pakalapati, Deepak, Saxena, Vishal, Aiyaz, Mohammed, Orekondy, Harsha B., Mugasimangalam, Raja C., Sirohi, Paramendra, Kochar, Sanjay K., Kochar, Dhanpat K., Das, Ashis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536056/
https://www.ncbi.nlm.nih.gov/pubmed/26484136
http://dx.doi.org/10.1016/j.gdata.2014.10.010
Descripción
Sumario: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).