2020
DOI: 10.1007/s11033-020-05550-z
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Suitable reference genes for RT-qPCR analysis in Dichelops melacanthus (Hemiptera: Pentatomidae)

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Cited by 14 publications
(9 citation statements)
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“…Thus, RNA quality and amplification were of sufficient quality to be used in RT-qPCR. Our RNA quality and amplification results agree with other reference gene validation studies conducted on the other insects (Shakeel et al, 2015;Pinheiro et al, 2020).…”
Section: Discussionsupporting
confidence: 89%
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“…Thus, RNA quality and amplification were of sufficient quality to be used in RT-qPCR. Our RNA quality and amplification results agree with other reference gene validation studies conducted on the other insects (Shakeel et al, 2015;Pinheiro et al, 2020).…”
Section: Discussionsupporting
confidence: 89%
“…However, extreme care must be taken to avoid erroneous results ( Liang et al, 2014 ). One of the most common strategies for correcting experimental errors introduced during the steps of RT-qPCR analysis is the normalization of RT-qPCR data with reference genes ( Pinheiro et al, 2020 ). Inappropriate reference gene selection can obscure or magnify real biological changes caused by changes in reference gene expression ( Zhu et al, 2014 ).…”
Section: Discussionmentioning
confidence: 99%
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“…qPCR has become the most commonly used tool in molecular biology for the quantitative analysis of the expression and transcription of insect target genes. Despite that the basis of a successful qPCR experiment is the adoption of appropriate reference genes (Hunter & Garrels 1977;Tao et al 2019), there are virtually no publicly available reference genes with a stable expression level under all experimental conditions for insects (Li et al 2013;Ladror et al 2014;Yang et al 2014;Singh et al 2019;Pinheiro et al 2020;Wang et al 2020b). Therefore, it is necessary to screen for reference genes that can be used for quantitative expression studies under different experimental conditions.…”
Section: Discussionmentioning
confidence: 99%
“…ΔCt method First, the ΔCt method was used to analyze the Ct values of all candidate reference genes, and the standard deviations of those values were compared (Silver et al 2006;Pinheiro et al 2020;Wang et al 2020a). The ΔCt method ranked 28S rRNA as the most stably expressed reference gene and RPL10 as the least stable among the three developmental stages (Fig.…”
Section: Expression Stability Of the Candidate Reference Genesmentioning
confidence: 99%