Evidence map›Paper›PMID 21633888›Full record

ArticleMolecular biology reports2012

Selection of reference genes for quantitative real-time RT-PCR analysis in citrus.

Jiawen Yan, Feirong Yuan, Guiyou Long, Lei Qin, Ziniu Deng

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Article in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

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  14. Selection and validation of appropriate reference genes for gene expression studies inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2020
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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

5 authors.

Jiawen YanHorticulture and Landscape College, Hunan Agricultural University, Furong District, Changsha, 410128 Hunan, China. yanjw200709@126.com
Feirong Yuan
Guiyou Long
Lei Qin
Ziniu Deng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative real-time reverse transcription polymerase chain reaction (qPCR) has become the preferred method for studying low-abundant mRNA expression. Appropriate application of qPCR in such studies requires the use of reference gene(s) as an internal control in order to normalize the mRNA levels between different samples for an exact comparison of gene expression levels. Expression of the reference gene should be independent from development stage, cell/tissue types, treatments and environmental conditions. Recognizing the importance of reference gene(s) in normalization of qPCR data, various reference genes have been evaluated for stable expression under specific conditions in various organisms. In plants, only a few of them have been investigated, and very few reports about such reference genes in citrus. In the present study, seven candidate reference genes (18SrRNA, ACTB, rpII, UBQI, UBQ10, GAPDH and TUB) were tested, and three of them (18SrRNA, ACTB and rpII) proved to be the most stable ones among six leaf samples of different citrus genotypes. The three candidate reference genes were further analyzed for their stability of expression in five different tissues, and the results indicated that they were not completely stable. It is commonly accepted that gene expression studies should be normalized using more than one reference gene. Based on our results, we propose the use of the mean result rendered by18SrRNA, ACTB and rpII as reference genes to normalize mRNA levels in qPCR analysis of diverse cultivars and tissues of citrus. These results may provide a guideline for future works on gene expression in citrus by using qPCR.

Indexed as

Gene ExpressionCitrusDNA PrimersGenes, PlantReal-Time Polymerase Chain ReactionReference StandardsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerRNA, Ribosomal, 18SDNA PrimersRNA, MessengerRNA, Ribosomal, 18S

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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.