Evidence map›Paper›PMID 18211689›Full record

ArticleBMC genomics2008

Genome-wide analysis of antisense transcription with Affymetrix exon array.

Xijin Ge, Wendy S Rubinstein, Yong-Chul Jung, Qingfa Wu

Abstract readEvaluation Study
In one paragraph

Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
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  14. What are natural antisense transcripts good for?Biochemical Society transactions · 2010
    Review
  15. Article
  16. Article
  17. Regulatory roles of natural antisense transcripts.Nature reviews. Molecular cell biology · 2009
    Review
  18. Article
  19. Article
  20. 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

4 authors.

Xijin GeDepartment of Mathematics and Statistics, South Dakota State University, Box 2220, Brookings, SD 57007, USA. xijin.ge@sdstate.edu
Wendy S Rubinstein
Yong-Chul Jung
Qingfa Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA large number of natural antisense transcripts have been identified in human and mouse genomes. Study of their potential functions clearly requires cost-efficient method for expression analysis.

resultsHere we show that Affymetrix Exon arrays, which were designed to detect conventional transcripts in the sense orientation, can be used to monitor antisense expression across all exonic loci in mammalian genomes. Through modification of the cDNA synthesis protocol, we labeled single-strand cDNA in the reverse orientation as in the standard protocol, thus enabling the detection of antisense transcripts using the same array. Applying this technique to human Jurkat cells, we identified antisense transcription at 2,088 exonic loci of 1,516 UniGene clusters. Many of these antisense transcripts were not observed previously and some were validated by orientation-specific RT-PCR.

conclusionOur results suggest that with a modified protocol Affymetrix human, mouse and rat Exon arrays can be used as a routine method for genome-wide analysis of antisense transcription in these genomes.

Indexed as

AnimalsExonsGene Expression ProfilingGenomicsHumansMiceOligonucleotide Array Sequence AnalysisRatsRNA, AntisenseTranscription, GeneticRNA, Antisense

Identifiers

PMID18211689
PMCPMC2257944

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Registered trials

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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.