Evidence map›Paper›PMID 24330674›Full record

ArticleBMC genomics2013

Identification of two putative reference genes from grapevine suitable for gene expression analysis in berry and related tissues derived from RNA-Seq data.

Mauricio González-Agüero, Miguel García-Rojas, Alex Di Genova, José Correa, Alejandro Maass, Ariel Orellana, Patricio Hinrichsen

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

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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

33 citing papers in PubMed, 64 citations in OpenAlex.

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  4. Selection and Validation of Reference Genes inPlants (Basel, Switzerland) · 2024
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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

7 authors at 3 institutions in 1 country.

Mauricio González-Agüero
Miguel García-Rojas
Alex Di Genova
José Correa
Alejandro Maass
Ariel Orellana
Patricio HinrichsenInstituto de Investigaciones Agropecuarias (INIA -Chile), La Platina Research Centre, Santiago, Chile, Av, Santa Rosa 11, 610, P,O, Box 439-3, Santiago, Chile. phinrichsen@inia.cl.
Instituto de Investigaciones Agropecuarias · CLUniversity of Chile · CLUniversidad Andrés Bello · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData normalization is a key step in gene expression analysis by qPCR. Endogenous control genes are used to estimate variations and experimental errors occurring during sample preparation and expression measurements. However, the transcription level of the most commonly used reference genes can vary considerably in samples obtained from different individuals, tissues, developmental stages and under variable physiological conditions, resulting in a misinterpretation of the performance of the target gene(s). This issue has been scarcely approached in woody species such as grapevine.

resultsA statistical criterion was applied to select a sub-set of 19 candidate reference genes from a total of 242 non-differentially expressed (NDE) genes derived from a RNA-Seq experiment comprising ca. 500 million reads obtained from 14 table-grape genotypes sampled at four phenological stages. From the 19 candidate reference genes, VvAIG1 (AvrRpt2-induced gene) and VvTCPB (T-complex 1 beta-like protein) were found to be the most stable ones after comparing the complete set of genotypes and phenological stages studied. This result was further validated by qPCR and geNorm analyses.

conclusionsBased on the evidence presented in this work, we propose to use the grapevine genes VvAIG1 or VvTCPB or both as a reference tool to normalize RNA expression in qPCR assays or other quantitative method intended to measure gene expression in berries and other tissues of this fruit crop, sampled at different developmental stages and physiological conditions.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantGenes, PlantFruitOrgan SpecificitySequence Analysis, RNAVitis

Identifiers

PMID24330674
PMCPMC3878734
OpenAlexW1990610473

What OpenQuestion holds

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LicenceCC BY
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.