Evidence map›Paper›PMID 26484095›Full record

ArticleGenomics data2014

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

P A Boopathi, Amit Kumar Subudhi, Shilpi Garg, Sheetal Middha, Jyoti Acharya, Deepak Pakalapati, Vishal Saxena, Mohammed Aiyaz, Bipin Chand, Raja C Mugasimangalam and 4 more

Abstract read
In one paragraph

Article in Genomics data, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Experimental biology and medicine (Maywood, N.J.) · 2023
    Review
  2. Frontiers in cellular and infection microbiology · 2018
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

P A BoopathiDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India.
Amit Kumar SubudhiDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India.
Shilpi GargDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India.
Sheetal MiddhaDepartment of Medicine, Sardar Patel Medical College, Bikaner, Rajasthan, India.
Jyoti AcharyaDepartment of Medicine, Sardar Patel Medical College, Bikaner, Rajasthan, India.
Deepak PakalapatiDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India.
Vishal SaxenaDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India.
Mohammed AiyazGenotypic Technology Pvt. Ltd., Bangalore, India.
Bipin ChandGenotypic Technology Pvt. Ltd., Bangalore, India.
Raja C MugasimangalamGenotypic Technology Pvt. Ltd., Bangalore, India.
Sanjay K KocharDepartment of Medicine, Sardar Patel Medical College, Bikaner, Rajasthan, India.
Parmendra SirohiDepartment of Medicine, Sardar Patel 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

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.

Indexed as

Complicated malariaNatural antisense transcriptsPlasmodium vivaxStrand specific microarrayUncomplicated malaria

Identifiers

PMID26484095
PMCPMC4535868

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.