ArticlePlant methods2019
Evaluation of reference genes for normalizing RT-qPCR in leaves and suspension cells of
Article in Plant methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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Who cites it
9 citing papers in PubMed, 30 citations in OpenAlex.
- Article
- Evaluation of Reference Genes for Normalizing RT-qPCR and Analysis of the Expression Patterns ofInternational journal of molecular sciences · 2023Article
- Article
- Selection and Validation of Candidate Reference Genes for Gene Expression Analysis by RT-qPCR inInternational journal of molecular sciences · 2021Article
- Evaluation of Angelica decursiva reference genes under various stimuli for RT-qPCR data normalization.Scientific reports · 2021Article
- Comprehensive evaluation of candidate reference genes for quantitative real-time PCR-based analysis in Caucasian clover.Scientific reports · 2021Article
- Article
- Article
- Nanoparticles Affect the Expression Stability of Housekeeping Genes in Plant Cells.Nanotechnology, science and applications · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReverse transcription quantitative real-time PCR (RT-qPCR) is a widely used approach for investigating gene expression levels in plants because of its high reproducibility, sensitivity, accuracy and rapidness. Evaluation of reference genes for normalizing RT-qPCR data is a necessary step, especially in new plant varieties.
resultsIn this study, 9 candidate reference genes were selected from the transcriptome data of
conclusionThis study is the first to evaluate the stability of reference genes in
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Registered trials
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