Evidence map›Paper›PMID 28317896›Full record

ArticleScientific reports2017

Use of RNA-seq data to identify and validate RT-qPCR reference genes for studying the tomato-Pseudomonas pathosystem.

Marina A Pombo, Yi Zheng, Zhangjun Fei, Gregory B Martin, Hernan G Rosli

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

43 citing papers in PubMed, 105 citations in OpenAlex.

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  11. Identification and validation of reference genes in vetiver (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
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  12. Monitoring Cultured Rat Hepatocytes Using RNA-Seq In Vitro.International journal of molecular sciences · 2023
    Article
  13. TheJournal of fungi (Basel, Switzerland) · 2023
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  20. Identification and validation of reference genes for qRT-PCR based studies in horse gram (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    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

5 authors at 3 institutions in 2 countries.

Marina A PomboInstituto de Fisiología Vegetal, INFIVE, Universidad Nacional de La Plata, CONICET, La Plata, Buenos Aires, Argentina.
Yi ZhengBoyce Thompson Institute for Plant Research, 533 Tower Road, Ithaca, NY 14853, USA.
Zhangjun FeiBoyce Thompson Institute for Plant Research, 533 Tower Road, Ithaca, NY 14853, USA.
Gregory B MartinBoyce Thompson Institute for Plant Research, 533 Tower Road, Ithaca, NY 14853, USA.
Hernan G RosliInstituto de Fisiología Vegetal, INFIVE, Universidad Nacional de La Plata, CONICET, La Plata, Buenos Aires, Argentina.
Ithaca College · USConsejo Nacional de Investigaciones Científicas y Técnicas · ARUniversidad Nacional de La Plata · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The agronomical relevant tomato-Pseudomonas syringae pv. tomato pathosystem is widely used to explore and understand the underlying mechanisms of the plant immune response. Transcript abundance estimation, mainly through reverse transcription-quantitative PCR (RT-qPCR), is a common approach employed to investigate the possible role of a candidate gene in certain biological process under study. The accuracy of this technique relies heavily on the selection of adequate reference genes. Initially, genes derived from other techniques (such as Northern blots) were used as reference genes in RT-qPCR experiments, but recent studies in different systems suggest that many of these genes are not stably expressed. The development of high throughput transcriptomic techniques, such as RNA-seq, provides an opportunity for the identification of transcriptionally stable genes that can be adopted as novel and robust reference genes. Here we take advantage of a large set of RNA-seq data originating from tomato leaves infiltrated with different immunity inducers and bacterial strains. We assessed and validated 9 genes that are much more stable than two traditional reference genes. Specifically, ARD2 and VIN3 were the most stably expressed genes and consequently we propose they be adopted for RT-qPCR experiments involving this pathosystem.

Indexed as

Gene Expression ProfilingPseudomonas syringaeTranscriptomeAlgorithmsComputational BiologyGene Expression Regulation, PlantHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsPlant DiseasesReproducibility of ResultsSequence Analysis, RNASolanum lycopersicum

Identifiers

PMID28317896
PMCPMC5357963
OpenAlexW2599679480

What OpenQuestion holds

Textmetadata
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.