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TaqMan RT-qPCR for tRNA half quantification
When quantifying tRNA-derived short non-coding RNAs (sncRNAs), two key considerations must be addressed. First, sequencing analyses have revealed significant heterogeneity in the lengths and terminal sequences of tRNA-derived sncRNAs. Second, within the total RNA fraction, these sncRNAs coexist with more abundant mature tRNAs and their precursors (pre ...Megumi, Shigematsu +2 more
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RT-qPCR for Fecal Mature MicroRNA Quantification and Validation
2018By routinely and systematically being able to perform quantitative stem-loop reverse transcriptase (RT) followed by TaqMan® minor-groove binding (MGB) probe, real-time quantitative PCR analysis on exfoliated enriched colonocytes in stool, using human (Homo sapiens, hsa) micro(mi)RNAs to monitor changes of their expression at various stages of ...
Farid E, Ahmed +4 more
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Selection of Reliable Reference Genes for RT-qPCR Analysis
2014Reference genes have become the method of choice for normalization of qPCR data. It has been demonstrated in many studies that reference gene validation is essential to ensure accurate and reliable results. This chapter describes how a pilot study can be set up to identify the best set of reference genes to be used for normalization of qPCR data.
Jan, Hellemans, Jo, Vandesompele
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Stem-Loop RT-qPCR for MicroRNA Expression Profiling
2011Quantification of the microRNAs (miRNAs) in cells or tissues is a crucial step in understanding their biological functions. Development of the stem-loop reverse transcription procedure and TaqMan(®) miRNA assays enables accurate detection of miRNA expression levels by quantitative PCR.
James, Hurley +4 more
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Rare Transcripts Quantification by Strand-Specific RT-qPCR
B lymphocytes development is associated with significant immunoglobulin (Ig) gene recombination leading to the establishment of a highly diverse and specific Ig repertoire. Accessibility of Ig genes is tightly regulated and associated with the production of sterile transcripts (noncoding), including low abundant anti-sense (AS) transcripts.Ophélie Alyssa Martin +2 more
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DNA extraction leads to bias in bacterial quantification by qPCR
Applied Microbiology and Biotechnology, 2022Angela Franca +2 more
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