Evidence map›Paper›PMID 29453432›Full record

ArticleScientific reports2018

Validation of house-keeping genes for normalization of gene expression data during diurnal/circadian studies in rice by RT-qPCR.

Nitin Jain, Satyam Vergish, Jitendra P Khurana

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

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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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Genome-wide analysis of theFrontiers in plant science · 2024
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  17. Overexpression of ArabidopsisPlant signaling & behavior · 2020
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  18. Article
  19. Article
  20. Selection of Reference Genes for qRT-PCR Analysis inMolecules (Basel, Switzerland) · 2018
    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

3 authors.

Nitin JainDepartment of Plant Molecular Biology, University of Delhi South Campus, New Delhi, 110021, India.
Satyam VergishDepartment of Plant Molecular Biology, University of Delhi South Campus, New Delhi, 110021, India.
Jitendra P KhuranaDepartment of Plant Molecular Biology, University of Delhi South Campus, New Delhi, 110021, India. khuranaj@genomeindia.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The circadian clock in plants is the intrinsic rhythmic expression of thousands of genes in a 24 h period, which is set by the day-night cycles in the environment. The study of the circadian clock often requires expression profiling of genes over a large number of samples for which RT-qPCR is invariably used. Reliability of the results depends largely on the house-keeping genes, which serve as control and thus should be chosen carefully to prevent erroneous results. In this study, ten house-keeping genes were chosen from rice for stability analysis with 48 tissue samples harvested from plants subjected to diurnal/circadian cycles. Although, all the genes were found to be stable, however, six of them showed cyclic expression patterns and caused major changes in the expression profiles of the target genes when used to normalize their expression data, thereby making them poor candidates for diurnal/circadian studies. In conclusion, reference genes need to be selected for diurnal/circadian studies with extra caution as more than 80% of transcriptome in plants undergoes cycling, which remains undetected by the gene stability assessment software and can severely affect the RT-qPCR based gene expression profiling. The geometric mean of two or more most stable reference genes is hence recommended for diurnal/circadian studies in plants.

Indexed as

Circadian ClocksGene Expression Regulation, PlantGenes, EssentialGenes, PlantOryzaReal-Time Polymerase Chain ReactionReference Standards

Identifiers

PMID29453432
PMCPMC5816630

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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.