Evidence map›Paper›PMID 21769472›Full record

ArticleMolecular biotechnology2012

Identification of potential antisense transcripts in rice using conventional microarray.

Qiang Gan, Dejun Li, Guozhen Liu, Lihuang Zhu

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2012. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Qiang GanState Key Laboratory of Plant Genomics & National Plant Gene Research Centre (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, 100101 Beijing, China. qgan2@jhu.edu
Dejun Li
Guozhen Liu
Lihuang Zhu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural antisense transcripts (NATs) are endogenous transcripts that contain reverse complementary sequences to other RNAs (usually called sense transcripts). NATs regulate the expression of sense transcripts in a wide range of species. The identification and analysis of NATs are the prerequisite to elucidate their functions. Microarray is a genome-wide method to detect gene expression. However, conventional microarrays do not contain the specific probes of NATs; thus, they cannot be utilized to detect NATs. In this article, we developed a novel method to identify potential NATs with the conventional microarrays. In this method of our study, we labeled the first strand cDNA from one sample with Cy5 and labeled the second strand cDNA from another sample with Cy3, and then hybridized these labeled samples with oligonucleotide microarray. Using this method, we identified 920 potential NATs in rice variety Nipponbare. Among these potential NATs, 88 of them were confirmed by either full-length cDNA or orientated ESTs (expressed sequence tags). This is the first time that a conventional oligonucleotide microarray was employed to identify NATs in rice.

Indexed as

Gene Expression Regulation, PlantOligonucleotide Array Sequence AnalysisOryzaReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionRNA, AntisenseRNA, MessengerStaining and LabelingRNA, AntisenseRNA, Messenger

Identifiers

What OpenQuestion holds

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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.