Quantitative gene expression analysis is indispensable for accurately characterizing the expression levels of genes involved in the response and acclimation of algae to environmental stresses. However, appropriate reference genes in the genus Bangia (order Bangiales) for quantification of stress-inducible gene expression are not well described. Thus, we evaluated the suitability of genes encoding 18S ribosomal RNA (18S rRNA), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), actin, tubulin, elongation factor 1 (EF1), and 60S ribosomal RNA (60S rRNA) as reference genes for real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) under various stress conditions in ‘Bangia’ sp. ESS1, classified into the ‘Bangia’ 2 group...
In light of increasing sea surface temperatures, quantifying the expression of stress-inducible gene...
<div><p>Accurate normalization of gene expression data is an absolute prerequisite to obtain reliabl...
Sanionia uncinata is a dominant moss species in the maritime Antarctic. Due to its high adaptability...
Quantitative gene expression analysis is an important tool in the scientist's belt. The identificati...
Quantitative gene expression analysis is an important tool in the scientist's belt. The identificati...
Abstract Background Pyropia yezoensis, a marine red alga, is an ideal research model for studying th...
Rhizophora apiculata is a halophytic, small mangrove tree distributed along the coastal regions of t...
International audienceAbstract Microalgae have recently emerged as a key research topic, especially ...
Normalization to reference genes is the most common method to avoid bias in real-time quantitative P...
Saccharina latissima, known as sugar kelp, is a brown macroalga with huge ecological and economic va...
Selecting appropriate reference genes is vital to normalize gene expression analysis in birch (Betul...
Reverse transcription quantitative real-time polymerase chain reaction (qRT-PCR) is a powerful analy...
Isochrysis zhangjiangensis is a potential marine microalga for biodiesel production, which accumulat...
<div><p>The raphidophyte <i>Heterosigma akashiwo</i> is a globally distributed harmful alga that has...
In light of increasing sea surface temperatures, quantifying the expression of stress-inducible gene...
In light of increasing sea surface temperatures, quantifying the expression of stress-inducible gene...
<div><p>Accurate normalization of gene expression data is an absolute prerequisite to obtain reliabl...
Sanionia uncinata is a dominant moss species in the maritime Antarctic. Due to its high adaptability...
Quantitative gene expression analysis is an important tool in the scientist's belt. The identificati...
Quantitative gene expression analysis is an important tool in the scientist's belt. The identificati...
Abstract Background Pyropia yezoensis, a marine red alga, is an ideal research model for studying th...
Rhizophora apiculata is a halophytic, small mangrove tree distributed along the coastal regions of t...
International audienceAbstract Microalgae have recently emerged as a key research topic, especially ...
Normalization to reference genes is the most common method to avoid bias in real-time quantitative P...
Saccharina latissima, known as sugar kelp, is a brown macroalga with huge ecological and economic va...
Selecting appropriate reference genes is vital to normalize gene expression analysis in birch (Betul...
Reverse transcription quantitative real-time polymerase chain reaction (qRT-PCR) is a powerful analy...
Isochrysis zhangjiangensis is a potential marine microalga for biodiesel production, which accumulat...
<div><p>The raphidophyte <i>Heterosigma akashiwo</i> is a globally distributed harmful alga that has...
In light of increasing sea surface temperatures, quantifying the expression of stress-inducible gene...
In light of increasing sea surface temperatures, quantifying the expression of stress-inducible gene...
<div><p>Accurate normalization of gene expression data is an absolute prerequisite to obtain reliabl...
Sanionia uncinata is a dominant moss species in the maritime Antarctic. Due to its high adaptability...