Evidence map›Paper›PMID 20056000›Full record

ArticleBMC plant biology2010

Validation of reference genes for quantitative real-time PCR during leaf and flower development in Petunia hybrida.

Izaskun Mallona, Sandra Lischewski, Julia Weiss, Bettina Hause, Marcos Egea-Cortines

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

152 citing papers in PubMed, 313 citations in OpenAlex.

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92 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 2 countries.

Izaskun MallonaGenetics, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena, Cartagena, Spain.
Sandra Lischewski
Julia Weiss
Bettina Hause
Marcos Egea-Cortines
Universidad Politécnica de Cartagena · ESLeibniz Institute of Plant Biochemistry · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification of genes with invariant levels of gene expression is a prerequisite for validating transcriptomic changes accompanying development. Ideally expression of these genes should be independent of the morphogenetic process or environmental condition tested as well as the methods used for RNA purification and analysis.

resultsIn an effort to identify endogenous genes meeting these criteria nine reference genes (RG) were tested in two Petunia lines (Mitchell and V30). Growth conditions differed in Mitchell and V30, and different methods were used for RNA isolation and analysis. Four different software tools were employed to analyze the data. We merged the four outputs by means of a non-weighted unsupervised rank aggregation method. The genes identified as optimal for transcriptomic analysis of Mitchell and V30 were EF1alpha in Mitchell and CYP in V30, whereas the least suitable gene was GAPDH in both lines.

conclusionsThe least adequate gene turned out to be GAPDH indicating that it should be rejected as reference gene in Petunia. The absence of correspondence of the best-suited genes suggests that assessing reference gene stability is needed when performing normalization of data from transcriptomic analysis of flower and leaf development.

Indexed as

Computational BiologyFlowersGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantGenes, PlantPetuniaPlant LeavesReference StandardsReverse Transcriptase Polymerase Chain ReactionRNA, PlantSequence Analysis, DNASoftwareRNA, Plant

Identifiers

PMID20056000
PMCPMC2827423
OpenAlexW2121698562

What OpenQuestion holds

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LicenceCC BY
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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.