ArticleFrontiers in plant science2016
Selection and Validation of Reference Genes for Quantitative Real-time PCR in Gentiana macrophylla.
Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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.
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.
Who cites it
31 citing papers in PubMed.
- Transcriptome and metabolome analysis reveals mechanism of light intensity modulating iridoid biosynthesis in Gentiana macrophylla Pall.BMC plant biology · 2024Article
- Proteomic profiling ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024Article
- Genomic characterization of WRKY transcription factors related to secoiridoid biosynthesis in Gentiana macrophylla.BMC plant biology · 2024Article
- Physiological and Molecular Responses ofPlants (Basel, Switzerland) · 2024Article
- Selection and validation of reference genes for RT-qPCR in ophiocordyceps sinensis under different experimental conditions.PloS one · 2024Article
- A developed TaqMan probe-based qPCR was used to quantify the distribution of AMDV in various tissues of infected mink and its prevalence in northern China.Frontiers in veterinary science · 2024Article
- Article
- Reference gene selection for quantitative RT-PCR in Miscanthus sacchariflorus under abiotic stress conditions.Molecular biology reports · 2022Article
- Selection and Validation of Reference Genes for Quantitative Real-Time PCR Analysis of Development and Tissue-Dependent Flower Color Formation inInternational journal of molecular sciences · 2022Article
- Public transcriptome database-based selection and validation of reliable reference genes for breast cancer research.Biomedical engineering online · 2021Article
- Selection and validation of appropriate reference genes for RT-qPCR analysis of flowering stages and different genotypes of Iris germanica L.Scientific reports · 2021Article
- Validation of Reference Genes for Quantitative Real-Time PCR Normalization inFrontiers in genetics · 2021Article
- The Orphan CropFrontiers in plant science · 2021Article
- Selection and validation of reference genes for quantitative gene expression normalization in Taxus spp.Scientific reports · 2020Article
- Selection of suitable reference genes for qRT-PCR expression analysis of Codonopsis pilosula under different experimental conditions.Molecular biology reports · 2020Article
- Identification and evaluation of reference genes for quantitative real-time PCR analysis in Polygonum cuspidatum based on transcriptome data.BMC plant biology · 2019Article
- Validation of suitable reference genes for quantitative gene expression analysis in Tripterygium wilfordii.Molecular biology reports · 2019Article
- Article
- Evaluation of reference genes for normalizing RT-qPCR in leaves and suspension cells ofPlant methods · 2019Article
- QTLs and eQTLs mapping related to citrandarins' resistance to citrus gummosis disease.BMC genomics · 2018Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Real time quantitative PCR (RT-qPCR or qPCR) has been extensively applied for analyzing gene expression because of its accuracy, sensitivity, and high throughput. However, the unsuitable choice of reference gene(s) can lead to a misinterpretation of results. We evaluated the stability of 10 candidates - five traditional housekeeping genes (UBC21, GAPC2, EF-1α4, UBQ10, and UBC10) and five novel genes (SAND1, FBOX, PTB1, ARP, and Expressed1) - using the transcriptome data of Gentiana macrophylla. Common statistical algorithms ΔC t, GeNorm, NormFinder, and BestKeeper were run with samples collected from plants under various experimental conditions. For normalizing expression levels from tissues at different developmental stages, GAPC2 and UBC21 had the highest rankings. Both SAND1 and GAPC2 proved to be the optimal reference genes for roots from plants exposed to abiotic stresses while EF-1α4 and SAND1 were optimal when examining expression data from the leaves of stressed plants. Based on a comprehensive ranking of stability under different experimental conditions, we recommend that SAND1 and EF-1α4 are the most suitable overall. In this study, to find a suitable reference gene and its real-time PCR assay for G. macrophylla DNA content quantification, we evaluated three target genes including WRKY30, G10H, and SLS, through qualitative and absolute quantitative PCR with leaves under elicitors stressed experimental conditions. Arbitrary use of reference genes without previous evaluation can lead to a misinterpretation of the data. Our results will benefit future research on the expression of genes related to secoiridoid biosynthesis in this species under different experimental conditions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.