Evidence map›Paper›PMID 23878522›Full record

ReviewTheScientificWorldJournal2013

Natural antisense transcripts in plants: a review and identification in soybean infected with Phakopsora pachyrhizi SuperSAGE library.

Suzana de Aragão Britto-Kido, José Ribamar Costa Ferreira Neto, Valesca Pandolfi, Francismar Corrêa Marcelino-Guimarães, Alexandre Lima Nepomuceno, Ricardo Vilela Abdelnoor, Ana Maria Benko-Iseppon, Ederson Akio Kido

Abstract readReview
In one paragraph

Review in TheScientificWorldJournal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Modern Approaches for Transcriptome Analyses in Plants.Advances in experimental medicine and biology · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. 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

8 authors.

Suzana de Aragão Britto-KidoFederal University of Pernambuco-UFPE, Department of Genetics, Recife, PE, Brazil.
José Ribamar Costa Ferreira Neto
Valesca Pandolfi
Francismar Corrêa Marcelino-Guimarães
Alexandre Lima Nepomuceno
Ricardo Vilela Abdelnoor
Ana Maria Benko-Iseppon
Ederson Akio Kido

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural antisense ranscripts (NAT) are RNA molecules complementary to other endogenous RNAs. They are capable of regulating the expression of target genes at different levels (transcription, mRNA stability, translation, etc.). Such a property makes them ideal for interventions in organisms' metabolism. The present study reviewed plant NAT aspects, including features, availability and genesis, conservation and distribution, coding capacity, NAT pair expression, and functions. Besides, an in silico identification of NATs pairs was presented, using deepSuperSAGE libraries of soybean infected or not with Phakopsora pachyrhizi. Results showed that around 1/3 of the 77,903 predicted trans-NATs (by PlantsNATsDB database) detected had unitags mapped in both sequences of each pair. The same 1/3 of the 436 foreseen cis-NATs showed unitags anchored in both sequences of the related pairs. For those unitags mapped in NAT pairs, a modulation expression was assigned as upregulated, downregulated, or constitutive, based on the statistical analysis (P < 0.05). As a result, the infected treatment promoted the expression of 2,313 trans-NATs pairs comprising unitags exclusively from that library (1,326 pairs had unitags only found in the mock library). To understand the regulation of these NAT pairs could be a key aspect in the ASR plant response.

Indexed as

Databases, GeneticGene LibraryBase SequenceBasidiomycotaGlycine maxMolecular Sequence DataRNA, AntisenseTranscriptomeRNA, Antisense

Identifiers

PMID23878522
PMCPMC3710604

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.