Results 21 to 30 of about 2,168 (134)

Selection and validation of reference genes for real-time quantitative PCR in hyperaccumulating ecotype of Sedum alfredii under different heavy metals stresses. [PDF]

PLoS ONE, 2013
Real-time Quantitative PCR (RT-qPCR) has become an effective method for accurate analysis of gene expression in several biological systems as well as under different experimental conditions.
Jian Sang, Xiaojiao Han, Mingying Liu, Guirong Qiao, Jing Jiang, Renying Zhuo   +5 more
doaj   +1 more source

Suitability of endogenous reference genes for gene expression studies with human intraocular endothelial cells

BMC Research Notes, 2013
Background The use of quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) has become widely applied as a method to measure transcript abundance. In order to be reflective of biological processes during health and disease this
Wei Ruoxin, Stewart Elizabeth Anne, Amoaku Winfried M   +2 more
doaj   +1 more source

Identification of stably expressed Internal Control Genes (ICGs) for normalization of expression data in liver of C57BL/6 mice injected with beta casomorphins.

PLoS ONE, 2023
In recent years, beta-casomorphin peptides (BCM7/BCM9) derived from the digestion of cow milk have drawn a lot of attention world over because of their proposed impact on human health.
Anurag Kumar, Monika Sodhi, Manishi Mukesh, Amandeep Kaur, Gaurav Bhakri, Vipul Chaudhary, Preeti Swami, Vishal Sharma, Ashok Kumar Mohanty, Ranjit S Kataria   +9 more
doaj   +1 more source

Selection and Validation of Appropriate Reference Genes for qRT-PCR Analysis in Isatis indigotica Fort.

Frontiers in Plant Science, 2017
Due to its sensitivity and specificity, real-time quantitative PCR (qRT-PCR) is a popular technique for investigating gene expression levels in plants.
Tao Li, Jing Wang, Miao Lu, Tianyi Zhang, Xinyun Qu, Zhezhi Wang   +5 more
doaj   +1 more source

Identification of a novel reference gene for apple transcriptional profiling under postharvest conditions. [PDF]

PLoS ONE, 2015
Reverse Transcription quantitative PCR (RT-qPCR) is one of the most important techniques for gene expression profiling due to its high sensibility and reproducibility.
Tatiane Timm Storch, Camila Pegoraro, Taciane Finatto, Vera Quecini, Cesar Valmor Rombaldi, César Luis Girardi   +5 more
doaj   +1 more source

BestKeeper rankings.

, 2019
BestKeeper rankings.
Dominic J. Wells (205562), Amber M. Finch (6278357), John C. W. Hildyard (4637164)   +2 more
core   +1 more source

Identification of stable normalization genes for quantitative real-time PCR in porcine articular cartilage

Journal of Animal Science and Biotechnology, 2012
Background Expression levels for genes of interest must be normalized with an appropriate reference, or housekeeping gene, to make accurate comparisons of quantitative real-time PCR results.
McCulloch Ryan S, Ashwell Melissa S, O’Nan Audrey T, Mente Peter L   +3 more
doaj   +1 more source

BestKeeper pair-wise correlation.

, 2017
BestKeeper pair-wise correlation.
Cristina Pirrone (3737356), Mario Cherubino (3737353), Silvia Palombella (3737350), Giovanni Bernardini (842729), Luigi Valdatta (3737359), Rosalba Gornati (842723)   +5 more
core   +1 more source

Abundance, efficiency, and stability of reference transcript expression in a seasonal rodent: The Siberian hamster

PLoS ONE, 2022
Quantitative PCR (qPCR) is a common molecular tool to analyse the expression of transcripts in non-traditional animal models. Most animals experience tissue-specific seasonal changes in cell structure, growth, and cellular function. As a consequence, the
Calum Stewart, Timothy A. Liddle, Tyler J. Stevenson   +2 more
doaj   +2 more sources

Expression Stability of Reference Genes in Larvae of Spodoptera frugipferda Under Azadirachtin Stress by Real-Time Quantitative PCR Analysis

Guangdong nongye kexue
【Objective】Real-time quantitative PCR is one of the most conventional and efficient techniques for studying the mRNA expression level of target genes. The proper selection of reference genes is of great significance for the accuracy of the results.
Benshui SHU, Yuting HUANG, Xuanyue YU, Cuiting LIU, Xinyi XIE, Hao SHEN, Jintian LIN   +6 more
doaj   +1 more source