ArticleMolecular genetics and genomics : MGG2013
Identification of appropriate reference genes for normalizing transcript expression by quantitative real-time PCR in Litsea cubeba.
Article in Molecular genetics and genomics : MGG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- WRKY14-DPB Module Enhances Drought Tolerance by Activating the Expression of UGT84B1 Involved in Hydrolyzable Tannin Biosynthesis.Plant, cell & environment · 2026Article
- Article
- Selection and Validation of Optimal RT-qPCR Reference Genes for the Normalization of Gene Expression under Different Experimental Conditions inPlants (Basel, Switzerland) · 2023Article
- Overexpression ofForestry research · 2023Article
- Reference gene selection for quantitative RT-PCR in Miscanthus sacchariflorus under abiotic stress conditions.Molecular biology reports · 2022Article
- Article
- Article
- Ectopic Expression ofG3 (Bethesda, Md.) · 2019Article
- Gene Expression Profiling Reveals Enhanced Defense Responses in an Invasive Weed Compared to Its Native Congener During Pathogenesis.International journal of molecular sciences · 2019Article
- Selection and validation of reference genes for quantitative expression analysis of miRNAs and mRNAs in Poplar.Plant methods · 2019Article
- Transcriptome Analysis ofG3 (Bethesda, Md.) · 2018Article
- Identification and Validation of Reference Genes for Seashore Paspalum Response to Abiotic Stresses.International journal of molecular sciences · 2017Article
- Selection of Reference Genes for qRT-PCR Analysis of Gene Expression in Stipa grandis during Environmental Stresses.PloS one · 2017Article
- Digital Gene Expression Profiling to Explore Differentially Expressed Genes Associated with Terpenoid Biosynthesis during Fruit Development in Litsea cubeba.Molecules (Basel, Switzerland) · 2016Article
- Integrated transcriptome sequencing and dynamic analysis reveal carbon source partitioning between terpenoid and oil accumulation in developing Lindera glauca fruits.Scientific reports · 2015Article
- Selection of reference genes for quantitative real-time PCR normalization in creeping bentgrass involved in four abiotic stresses.Plant cell reports · 2015Article
- Selection of reliable reference genes for quantitative real-time PCR gene expression analysis in Jute (Corchorus capsularis) under stress treatments.Frontiers in plant science · 2015Article
- Article
- Article
- Article
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
Quantitative real-time PCR has emerged as a highly sensitive and widely used method for detection of gene expression profiles, via which accurate detection depends on reliable normalization. Since no single control is appropriate for all experimental treatments, it is generally advocated to select suitable internal controls prior to use for normalization. This study reported the evaluation of the expression stability of twelve potential reference genes in different tissue/organs and six fruit developmental stages of Litsea cubeba in order to screen the superior internal reference genes for data normalization. Two softwares-geNorm, and NormFinder-were used to identify stability of these candidate genes. The cycle threshold difference and coefficient of variance were also calculated to evaluate the expression stability of candidate genes. F-BOX, EF1α, UBC, and TUA were selected as the most stable reference genes across 11 sample pools. F-BOX, EF1α, and EIF4α exhibited the highest expression stability in different tissue/organs and different fruit developmental stages. Besides, a combination of two stable reference genes would be sufficient for gene expression normalization in different fruit developmental stages. In addition, the relative expression profiles of DXS and DXR were evaluated by EF1α, UBC, and SAMDC. The results further validated the reliability of stable reference genes and also highlighted the importance of selecting suitable internal controls for L. cubeba. These reference genes will be of great importance for transcript normalization in future gene expression studies on L. cubeba.
Indexed as
Identifiers
24162560What 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.