[HTML][HTML] Selection and validation of reference genes for quantitative real-time PCR of Quercus mongolica Fisch. ex Ledeb under abiotic stresses

H Zhan, H Liu, T Wang, L Liu, W Ai, X Lu - Plos one, 2022 - journals.plos.org
Quercus mongolica Fisch. ex Ledeb is the main species of coniferous and broadleaved
mixed forests in northeast and north China, which has high ornamental, economic, and …

[HTML][HTML] Selection of reliable reference genes for quantitative real-time PCR gene expression analysis in Jute (Corchorus capsularis) under stress treatments

X Niu, J Qi, G Zhang, J Xu, A Tao, P Fang… - Frontiers in plant …, 2015 - frontiersin.org
To accurately measure gene expression using quantitative reverse transcription PCR (qRT-
PCR), reliable reference gene (s) are required for data normalization. Corchorus capsularis …

[HTML][HTML] Stepwise Optimization of the RT-qPCR Protocol and the Evaluation of Housekeeping Genes in Pears (Pyrus bretschneideri) under Various Hormone …

P Zhou, L Huang, Y Wang, X Li, X Feng, L Li - Horticulturae, 2023 - mdpi.com
Real-time quantitative PCR (RT-qPCR) has become a widely used method for exploring
plant gene expression level. The method requires using some stably expressed genes as a …

[HTML][HTML] Selection of suitable reference genes for quantitative real-time PCR gene expression analysis in Salix matsudana under different abiotic stresses

Y Zhang, X Han, S Chen, L Zheng, X He, M Liu… - Scientific reports, 2017 - nature.com
Salix matsudana is a deciduous, rapidly growing willow species commonly cultivated in
China, which can tolerate drought, salt, and heavy metal stress conditions. Selection of …

[HTML][HTML] Selection and Validation of Reference Genes for the qRT-PCR Assays of Populus ussuriensis Gene Expression under Abiotic Stresses and Related ABA …

M Wei, Y Chen, M Zhang, J Yang, H Lu, X Zhang, C Li - Forests, 2020 - mdpi.com
Populus ussuriensis Kom. is one of the most important tree species for forest renewal in the
eastern mountainous areas of Northeast China due to its fast growth, high yield, and …

Reference gene selection for real-time quantitative PCR normalization in Hemarthria compressa and Hemarthria altissima leaf tissue

Y Lin, A Zhang, S Yang, L Huang - Molecular biology reports, 2019 - Springer
Hemarthria compressa and Hemarthria altissima are widely used as livestock forage and
play important roles in tropical and subtropical grassland agricultural systems promoting …

[HTML][HTML] Reference Gene Selection for qPCR Analysis in Schima superba under Abiotic Stress

J Yao, G Zhu, D Liang, B He, Y Wang, Y Cai, Q Zhang - Genes, 2022 - mdpi.com
Quantitative real-time PCR (qPCR) is an indispensable technique for gene expression
analysis in modern molecular biology. The selection and evaluation of suitable reference …

[HTML][HTML] Identification and evaluation of reference genes for quantitative real-time PCR analysis in Polygonum cuspidatum based on transcriptome data

X Wang, Z Wu, W Bao, H Hu, M Chen, T Chai… - BMC plant biology, 2019 - Springer
Background Polygonum cuspidatum of the Polygonaceae family is a traditional medicinal
plant with many bioactive compounds that play important roles in human health and stress …

Selection and validation of reference genes for target gene analysis with quantitative real-time PCR in the leaves and roots of Carex rigescens under abiotic stress

K Zhang, M Li, S Cao, Y Sun, R Long, J Kang… - Ecotoxicology and …, 2019 - Elsevier
Carex rigescens is an ornamental turfgrass in northern China which has a relatively low
maintenance cost and robust tolerance to many adverse environmental conditions, so it …

[HTML][HTML] Selection of appropriate reference genes for quantitative real-time PCR in Oxytropis ochrocephala Bunge using transcriptome datasets under abiotic stress …

H Zhuang, Y Fu, W He, L Wang, Y Wei - Frontiers in plant science, 2015 - frontiersin.org
Background: Oxytropis ochrocephala Bunge, an indigenous locoweed species in China,
poses great threats to livestock on grasslands. There is a need for further genetic study in …