Evidence map›Paper›PMID 26484136›Full record

ArticleGenomics data2014

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

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

Open access · goldAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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 at 3 institutions in 1 country.

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.
Shilpi GargDepartment 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.
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.
Harsha B OrekondyGenotypic 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.
Birla Institute of Technology and Science, Pilani · INSardar Patel Medical College · INRajasthan University of Health Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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).

Indexed as

Complicated malariaNatural antisense transcriptsPlasmodium falciparumStrand-specific microarrayUncomplicated malaria

Identifiers

PMID26484136
PMCPMC4536056
OpenAlexW2005227891

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.