Results 21 to 30 of about 6,430 (223)

Transcriptome-based screening and the optimal reference genes for real-time quantitative PCR in Rehmannia chingii and R. henryi

Biologia Plantarum, 2020
Real time quantitative PCR (qPCR) is a powerful tool for studying the expression of specific genes. The accuracy and reliability of qPCR analysis data require the selection of reference genes with stable expression.
X. ZUO, F.-Q. WANG, X.-R. LI, M.-M. LI
doaj   +1 more source

Reference gene selections for real time quantitative PCR analysis of gene expression in different oat tissues and under salt stress

Biologia Plantarum, 2020
Appropriate choice of reference genes for data normalization is of critical importance for accurate real time reverse transcription quantitative PCR (RT-qPCR) analysis of gene expression.
Z.L. DUAN, W.H. HAN, L. YAN, B. WU
doaj   +1 more source

Stable Reference Gene Selection for RT-qPCR Analysis in Nonviruliferous and Viruliferous Frankliniella occidentalis. [PDF]

PLoS ONE, 2015
Reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR) is a reliable technique for measuring and evaluating gene expression during variable biological processes.
Chunxiao Yang, Hui Li, Huipeng Pan, Yabin Ma, Deyong Zhang, Yong Liu, Zhanhong Zhang, Changying Zheng, Dong Chu   +8 more
doaj   +1 more source

CDK7 as a Potential Exploratory Biomarker for Distinguishing Acute Myocardial. [PDF]

Clin Cardiol
Clinical Cardiology, Volume 49, Issue 6, June 2026.
Mehmood A, Tahir R.
europepmc   +2 more sources

Pairwise comparison using Pearson correlation coefficient (r) and BestKeeper vs reference genes index using BestKeeper.

, 2023
Pairwise comparison using Pearson correlation coefficient (r) and BestKeeper vs reference genes index using BestKeeper.
Anurag Kumar (679730), Gaurav Bhakri (15419015), Vishal Sharma (1310979), Manishi Mukesh (612982), Ranjit S. Kataria (12026588), Monika Sodhi (3183042), Vipul Chaudhary (15419018), Amandeep Kaur (572773), Preeti Swami (15419021), Ashok Kumar Mohanty (5391116)   +9 more
core   +1 more source

I Choose You: Selecting Accurate Reference Genes for qPCR Expression Analysis in Reproductive Tissues in Arabidopsis thaliana

Biomolecules, 2023
Quantitative real-time polymerase chain reaction (qPCR) is a widely used method to analyse the gene expression pattern in the reproductive tissues along with detecting gene levels in mutant backgrounds.
Maria João Ferreira, Jessy Silva, Sara C Pinto, S. Coimbra   +3 more
semanticscholar   +1 more source

Housekeeping gene evaluation with BestKeeper.

, 2022
Housekeeping gene evaluation with BestKeeper.
Berta Levavi-Sivan (2456017), Michelle Thönnes (9109367), Frank Pfennig (9109379), Rebecca Prause (12530510)   +3 more
core   +1 more source

Validation of reference genes for the normalization of the RT-qPCR in peripheral blood mononuclear cells of patients with Takayasu arteritis [PDF]

Jichu yixue yu linchuang, 2021
Objective To validate proper reference genes for quantitative real-time polymerase chain reaction (RT-qPCR) used for comparing mRNA expression levels in Takayasu arteritis' (TAK) and healthy controls' (HC) peripheral blood mononuclear cells (PBMC ...
TIAN Yi-xiao, LI Jing
doaj  

Expression Stability Analysis of Candidate References for Normalization of RT-qPCR Data Using RefSeeker R package

Bio-Protocol, 2023
When performing expression analysis either for coding RNA (e.g., mRNA) or non-coding RNA (e.g., miRNA), reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) is a widely used method.
Patrick Petersen, Joanna Lopacinska-Jørgensen, Claus Høgdall, Estrid Høgdall   +3 more
doaj   +1 more source

Identification and validation of reference genes for normalization of gene expression analysis using qRT-PCR in Megalurothrips usitatus (thysanoptera: thripidae)

Frontiers in Physiology, 2023
Introduction: Gene expression analysis by reverse transcription quantitative polymerase chain reaction (qRT-PCR) has been widely used in research including insects.
Qing-Fang Hou, Lin-Lin Yuan, Haifeng Jin, Han Yan, Fen Li, Shao-Ying Wu   +5 more
semanticscholar   +1 more source