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Rat gene 1.0 st

Manufactured by Thermo Fisher Scientific
Sourced in Puerto Rico

The Rat Gene 1.0 ST is a gene expression microarray platform designed for use with rat samples. It provides comprehensive coverage of the rat transcriptome and enables the analysis of gene expression levels across the entire rat genome.

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3 protocols using rat gene 1.0 st

1

Affymetrix Microarray-Based Gene Expression Quantification

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Gene expression quantification was conducted at the Functional Genomics Core Facility at UNC-Chapel Hill using genome-wide transcript microarrays (Affymetrix Rat Gene 1.0 ST, Santa Clara, CA). Microarrays where subjected to quality assessment and processed by robust multi-array average to produce transcript-level expression estimates using the aroma.affymetrix R package [7 ]. Transcripts were annotated with rat gene symbols using Affymetrix’s annotation (RaGene-1_0-st-v1.na28.rn4.transcript.csv). Expression values were then log2 transformed. See Supplemental table (“S”) Tables 1 and 2 for the complete gene expression data sets. Full gene names are in S Table 3.
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2

Transcriptomic analysis of rat samples

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Total RNA was extracted and reverse transcript into cDNA. Samples were then hybridized to the Affymetrix Rat Gene 1.0ST (Chengdu, Sichuan, P.R. China) in accordance with the manufacturer’s instruction. Data were normalized by Partek Genomics Suite 6.6 (Affymetrix, Beijing, P.R. China) in default analysis settings. Normalized data were processed to the Kyoto Encyclopedia of Genes and Genomes (KEGG, Chengdu, Sichuan, China) for further pathway function analysis.
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3

Whole-Transcript Expression Profiling of Rat Genes

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Rat Gene 1.0 ST Affymetrix arrays were used for evaluating the whole‐transcript expression profiling. Microarray analysis was performed at the INMEGEN microarrays core facility and all procedures were according to Affymetrix's protocol. Briefly, double‐strand cDNA was obtained from total RNA using Superscript II reverse transcriptase with poly(T) oligomer. Then, cDNA served as a template for generating biotin‐labeled cRNA. The GeneChip hybridization Oven 645 (Affymetrix) provided controlled temperature and rotation for hybridization for 17 h at 45°C. After hybridization, arrays were washed and stained by using streptavidin‐phycoerythrin in an Affymetrix Fluidics Station 450 (Affymetrix). Then, microarrays were scanned by GeneChip Scanner 3000 7G (Affymetrix). Data normalization was performed by using the transcriptome analysis Console 4.0 software (Robust Microarray Average algorithm; Thermo Fisher Scientific Inc.) and differential gene expression analysis (fold change cut‐off ±2, analysis of variance [ANOVA], p ≤ .05). The R ggplot2 library was used to generate plots of principal component analysis (PCA). Intergroup hierarchical clustering was performed by using IBM SPSS Statistics (IBM) using total normalized microarray expression. ClustVis software was used to construct the heat map graphic of differentially expressed genes.
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