Rt2 profiler pcr array
The RT2 Profiler PCR Array is a real-time PCR-based system designed to analyze the expression of a focused panel of genes related to a specific biological pathway or disease state. It provides a comprehensive and efficient way to study gene expression profiles across multiple samples simultaneously.
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622 protocols using rt2 profiler pcr array
Evaluating Gene Expression Changes in Bone and Adipose Tissue
Analyzing Senescence Genes in Mice
Inflammatory and Immune Response Genes
Oxidative Stress and Antioxidant Defense in Mouse Cochlear Tissues
Oxidative Stress and Antioxidant Gene Expression
Profiling Gene Expression Changes in OPCs
For each PCR array, cDNA synthesis was performed starting from 500 ng of DNase pre-treated total RNA using RT2 First Strand Kit (Qiagen), following manufacturer's protocol. RT2 Profiler PCR Array (SABiosciences) and RT2 SYBRgreen Mastermix (Qiagen) were used to measure gene expression levels. Each array includes five housekeeping genes, that enable normalization of data, a genomic DNA control, that specifically detects genomic DNA contamination, a reverse transcription control, that tests the efficacy of the reverse-transcription reaction and a positive PCR control, that tests the efficacy of the polymerase chain reaction itself. Data were analysed by RT2 Profiler PCR Array data analysis center v. 3.5 (Qiagen).
Evaluating Cell Cycle and Apoptosis Genes
Tissue-specific Gene Expression Analysis
Quantitative PCR analysis of gene expression
For RT2 Profiler PCR array (Qiagen/SA Biosciences, Valencia, CA, USA) analysis, first-strand cDNA was synthesised from total RNA using the RT2 First strand cDNA synthesis kit (Qiagen). The RT2 Profiler PCR array system was set up, run and analysed on the Viaa 7 Real-Time PCR System (Thermo Fisher Scientific Inc., Wilmington, DE, USA) according to the manufacturer's instructions. RT2 Profiler PCR arrays used were: mouse fatty liver (#PAMM-157Z); mouse glucose metabolism (#PAMM-006Z); mouse insulin resistance (#PAMM-156Z, Qiagen/SA Biosciences). Gene lists and functional grouping are provided in
Quantifying Bovine Inflammatory Cytokines
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