Evidence map›Paper›PMID 27489776›Full record

ArticleGenomics data2016

A cross strain Plasmodium falciparum microarray optimized for the transcriptome analysis of Plasmodium falciparum patient derived isolates.

Amit Kumar Subudhi, P A Boopathi, Sheetal Middha, Jyoti Acharya, Sudha Narayana Rao, Raja C Mugasimangalam, Paramendra Sirohi, Sanjay K Kochar, Dhanpat K Kochar, Ashis Das

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Article in Genomics data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Amit Kumar SubudhiDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India.
P A BoopathiDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India.
Sheetal MiddhaDepartment of Medicine, S.P. Medical College, Bikaner, Rajasthan, India.
Jyoti AcharyaDepartment of Medicine, S.P. Medical College, Bikaner, Rajasthan, India.
Sudha Narayana RaoGenotypic Technology Pvt. Ltd., Bangalore, India.
Raja C MugasimangalamGenotypic Technology Pvt. Ltd., Bangalore, India.
Paramendra SirohiDepartment of Medicine, S.P. Medical College, Bikaner, Rajasthan, India.
Sanjay K KocharDepartment of Medicine, S.P. Medical College, Bikaner, Rajasthan, India.
Dhanpat K KocharRajasthan University of Health Sciences, Jaipur, Rajasthan, India.
Ashis DasDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malarial parasite P. falciparum, an apicomplexan protozoan has a 23.3 MB nuclear genome and encodes ~ 5600 transcripts. The genetic diversity of the parasite within and across geographical zones is a challenge to gene expression studies which are essential for understanding of disease process, outcome and developing markers for diagnostics and prognostics. Here, we describe the strategy involved in designing a custom P. falciparum 15K array using the Agilent platform and Genotypic's Right Design methodology to study the transcriptome of Indian field isolates for which genome sequence information is limited. The array contains probes representing genome sequences of two distinct geographical isolates (i.e. 3D7 and HB3) and sub-telomeric var gene sequences of a third isolate (IT4) known to adhere in culture condition. Probes in the array have been selected based on their efficiency to detect transcripts through a 244K array experimentation. Array performance for the 15K array, was evaluated and validated using RNA materials from P. falciparum clinical isolates. A large percentage (91%) of the represented transcripts was detected from Indian P. falciparum patient isolates. Replicated probes and multiple probes representing the same gene showed perfect correlation between them suggesting good probe performance. Additional transcripts could be detected due to inclusion of unique probes representing HB3 strain transcripts. Variant surface antigen (VSA) transcripts were detected by optimized probes representing the VSA genes of three geographically distinct strains. The 15K cross strain P. falciparum array has shown good efficiency in detecting transcripts from P. falciparum parasite samples isolated from patients. The low parasite loads and presence of host RNA makes arrays a preferred platform for gene expression studies over RNA-Seq.

Indexed as

Complicated malariaMicroarrayPfCP, conserved hypothetical protein (PF14_0683)PfEMP1PfENO, enolase (PF10_0155)PfGK, glycerol kinase (PF13_0269)PfROM3, rhomboid protease 3 (MAL8P1.16)PfSec14, Sec 14 domain containing protein (PF1280w)Plasmodium falciparumRIFINUncomplicated malaria

Identifiers

PMID27489776
PMCPMC4961827

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