MicroRNAs have higher expression stability than protein-coding genes in B. napus seeds and are therefore good reference genes for miRNA and mRNA RT-qPCR analysis. Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) has become the "gold standard" to gain insight into function of genes. However, the accuracy of the technique depends on appropriate reference genes for quantification analysis in different experimental conditions. Accumulation of microRNAs (miRNAs) has also been studied by RT-qPCR, but there are no reference genes currently validated for normalization of Brassica napus miRNA expression data. In this study, we selected 43 B. napus miRNAs and 18 previously validated mRNA reference genes. The expression stability of the candidate reference genes was evaluated in different tissue samples (stages of seed development, flowers, and leaves) using geNorm, NormFinder, and RefFinder analysis. The best-ranked reference genes for expression studies during seed development (miR167-1_2, miR11-1, miR159-1 and miR168-1) were used to asses the expression of miR03-1. Since candidate miRNAs showed higher expression stability than protein-coding genes in most of the tested conditions, the expression profile of DGAT1 gene was compared when normalized by the four most stable miRNAs reference genes and by the four most stable mRNA reference genes. The expected expression pattern of DGAT1 during seed development was achieved with the use of miRNA as reference genes. In conclusion, the most stable miRNA reference genes can be employed in the normalization of RT-qPCR quantification of miRNAs and protein-coding genes. This work is the first to perform a comprehensive survey of the stability of miRNA reference genes in B. napus and provides guidelines to obtain more accurate RT-qPCR results in B. napus seeds studies.
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http://dx.doi.org/10.1007/s00299-015-1773-1 | DOI Listing |
Sci Rep
December 2024
Laboratoire de Recherche en Sciences Végétales, Equipe Génomique et Biotechnologie des Fruits, UMR 5546, CNRS, UPS, Toulouse INP, Université de Toulouse, Toulouse, France.
Gene expression profiling is of key importance in all domains of life sciences, as medicine, environment, and plants, for both basic and applied research. Despite the emergence of microarrays and high-throughput sequencing, qPCR remains a standard method for gene expression analyses, with its data normalization step being crucial for ensuring accuracy. Currently, the most widely used normalization method is based on the use of reference genes, assumed to be stably expressed across all experimental conditions.
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December 2024
School of Life Science and Food Engineering, Huaiyin Institute of Technology, Huai'an, 223003, China.
Cinnamomum camphora, a key multifunctional tree species, primarily serves in landscaping. Leaf color is crucial for its ornamental appeal, undergoing a transformation to red that enhances the ornamental value of C. camphora.
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December 2024
Department of Critical Care Medicine, Heping Hospital Affiliated to Changzhi Medical College, 110 South Yan'an Road, Luzhou District, Changzhi City, 046012, China.
Mechanical ventilation contributes to diaphragm atrophy and muscle weakness, which is referred to as ventilator-induced diaphragmatic dysfunction (VIDD). The pathogenesis of VIDD has not been fully understood until recently. The aim of this study was to investigate the effects of 24 h of mechanical ventilation on fibro-adipogenic progenitor (FAP) proliferation, endothelial-mesenchymal transition (EndMT), and immune cell infiltration driving diaphragm fibrosis in a rabbit model.
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December 2024
Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, 3012, Switzerland.
Bovine spastic syndrome (SS) is a progressive, adult-onset neuromuscular disorder (NMD). SS is inherited but the mode of inheritance is unclear. The aim of this study was to characterize the phenotype and to identify a possible genetic cause of SS by whole-genome sequencing (WGS) and focusing on protein-changing variants.
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December 2024
Department of Bio-Health Convergence, Kangwon National University, Chuncheon, 24341, Republic of Korea.
As molecular research on hemp (Cannabis sativa L.) continues to advance, there is a growing need for the accumulation of more diverse genome data and more accurate genome assemblies. In this study, we report the three-way assembly data of a cannabidiol (CBD)-rich cannabis variety, 'Pink Pepper' cultivar using sequencing technology: PacBio Single Molecule Real-Time (SMRT) technology, Illumina sequencing technology, and Oxford Nanopore Technology (ONT).
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