Results 21 to 30 of about 11,356 (189)

MicroRNA profiling in plasma samples using qPCR arrays: Recommendations for correct analysis and interpretation. [PDF]

PLoS ONE, 2018
MicroRNA (miRNA) regulate gene expression through posttranscriptional mRNA degradation or suppression of translation. Many (pre)analytical issues remain to be resolved for miRNA screening with TaqMan Low Density Arrays (TLDA) in plasma samples, such as ...
Andreas B Gevaert, Isabel Witvrouwen, Christiaan J Vrints, Hein Heidbuchel, Emeline M Van Craenenbroeck, Steven J Van Laere, Amaryllis H Van Craenenbroeck   +6 more
doaj   +1 more source

Selection of Reference Genes for Real-time Quantitative PCR Normalization in the Process of Gaeumannomyces graminis var. tritici Infecting Wheat

The Plant Pathology Journal, 2019
Gaeumannomyces graminis var. tritici is a soil borne pathogenic fungus associated with wheat roots. The accurate quantification of gene expression during the process of infection might be helpful to understand the pathogenic molecular mechanism. However,
Li-hua Xie, Xin Quan, Jie Zhang, Yan-yan Yang, Run-hong Sun, Ming-cong Xia, Bao-guo Xue, Chao Wu, Xiao-yun Han, Ya-nan Xue, Li-rong Yang   +10 more
doaj   +1 more source

Identification and validation of miRNAs as endogenous controls for RQ-PCR in blood specimens for breast cancer studies. [PDF]

PLoS ONE, 2013
INTRODUCTION: A prerequisite to accurate interpretation of RQ-PCR data is robust data normalization. A commonly used method is to compare the cycle threshold (CT) of target miRNAs with those of a stably expressed endogenous (EC) miRNA(s) from the same ...
Ailbhe M McDermott, Michael J Kerin, Nicola Miller   +2 more
doaj   +1 more source

Leukocyte count affects expression of reference genes in canine whole blood samples

BMC Research Notes, 2011
Background The dog is frequently used as a model for hematologic human diseases. In this study the suitability of nine potential reference genes for quantitative RT-PCR studies in canine whole blood was investigated.
Dekker Aldo, Rothuizen Jan, Brinkhof Bas, Piek Christine J, Penning Louis C   +4 more
doaj   +1 more source

Gene expression studies: How to obtain accurate and reliable data by quantitative real-time RT PCR [PDF]

Journal of Medical Biochemistry, 2013
Real-time RT PCR has been recognized as an accurate, reliable and sensitive method for quantifying gene transcription. However, several steps preceding PCR represent critical points and source of inaccuracies.
Nestorov Jelena, Matić Gordana, Elaković Ivana, Tanić Nikola   +3 more
doaj  

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

geNorm rankings.

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

Comparative primer efficiency as calculated by geNorm Excel and geNorm SAS.

, 2015
Comparative primer efficiency as calculated by geNorm Excel and geNorm SAS.
Renata S. Mann (746634), Haniel C. Oliveira (746636), Marcio S. Duarte (707046), Leandro T. Barbosa (746631), Roberta P. M. Fernandes (746633), Simone E. F. Guimarães (746638), Mike V. Dodson (746637), Carlos S. Nascimento (746630), Claudson Brito (746632), Ana Paula G. Pinto (746635)   +9 more
core   +1 more source

Reference gene selection in bovine caruncular epithelial cells under pregnancy-associated hormones exposure

Scientific Reports, 2022
Examination of transcriptional regulation occurring during pregnancy establishment and maintenance requires the identification of endogenous reference genes characterized by high expression stability.
Magdalena Sozoniuk, Monika Jamioł, Marta Kankofer, Krzysztof Kowalczyk   +3 more
doaj   +1 more source

geNorm analysis.

, 2019
Representative outputs of the geNorm algorithm. geNorm ranking by average expression stability M (left to right: least stable to most stable) for the entire dataset, or dystrophic or healthy samples alone (as indicated).
Dominic J. Wells (205562), Amber M. Finch (6278357), John C. W. Hildyard (4637164)   +2 more
core   +1 more source