Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray.

Autor:	Boopathi PA; Department of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India., Subudhi AK; Department of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India., Garg S; Department of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India., Middha S; Department of Medicine, Sardar Patel Medical College, Bikaner, Rajasthan, India., Acharya J; Department of Medicine, Sardar Patel Medical College, Bikaner, Rajasthan, India., Pakalapati D; Department of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India., Saxena V; Department of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India., Aiyaz M; Genotypic Technology Pvt. Ltd., Bangalore, India., Chand B; Genotypic Technology Pvt. Ltd., Bangalore, India., Mugasimangalam RC; Genotypic Technology Pvt. Ltd., Bangalore, India., Kochar SK; Department of Medicine, Sardar Patel Medical College, Bikaner, Rajasthan, India., Sirohi P; Department of Medicine, Sardar Patel Medical College, Bikaner, Rajasthan, India., Kochar DK; Rajasthan University of Health Sciences, Jaipur, Rajasthan, India., Das A; Department of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India.
Jazyk:	angličtina
Zdroj:	Genomics data [Genom Data] 2014 Jul 11; Vol. 2, pp. 199-201. Date of Electronic Publication: 2014 Jul 11 (Print Publication: 2014).
DOI:	10.1016/j.gdata.2014.06.024
Abstrakt:	Natural antisense transcripts (NATs) have been detected in many organisms and shown to regulate gene expression. Similarly, NATs have also been observed in malaria parasites with most studies focused on Plasmodium falciparum. There were no reports on the presence of NATs in Plasmodium vivax, which has also been shown to cause severe malaria like P. falciparum, until a recent study published by us. To identify in vivo prevalence of antisense transcripts in P. vivax clinical isolates, we performed whole genome expression profiling using a custom designed strand-specific microarray that contains probes for both sense and antisense strands. Here we describe the experimental methods and analysis of the microarray data available in Gene Expression Omnibus (GEO) under GSE45165. Our data provides a resource for exploring the presence of antisense transcripts in P. vivax isolated from patients showing varying clinical symptoms. Related information about the description and interpretation of the data can be found in a recent publication by Boopathi and colleagues in Infection, Genetics and Evolution 2013.
Databáze:	MEDLINE
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