Synthesis of biotin labeled cDNA was conducted on three replicates of both experimental groups according to the manufacturers´ protocol (WT Plus Reagent Kit; Affymetrix, Inc). Briefly, 200 ng of total RNA were converted to cDNA. After amplification by in vitro transcription and another cDNS synthesis cycle, cDNA was fragmented and biotin labeled by terminal transferase. Finally, cDNA was hybridized to Affymetrix Mouse Transcriptome 1.0 arrays, washed and stained and scanned on the GC Scanner 3000 with G7 update as described in the standard Affymetrix GeneChip protocol (Version 2). Signal summarization using the RMA algorithm as well as statistical analysis were performed using the Affymetrix TAC software. The significance threshold was set to p < 0.05 and 0.01.
Gc scanner 3000
The GC Scanner 3000 is a gas chromatography (GC) system designed for laboratory applications. It is capable of performing automated sample injection, chromatographic separation, and detection of chemical compounds. The GC Scanner 3000 utilizes advanced technology to provide reliable and consistent results for analytical tasks.
Lab products found in correlation
2 protocols using gc scanner 3000
Cardiac Total RNA Extraction and Transcriptome Analysis
Synthesis of biotin labeled cDNA was conducted on three replicates of both experimental groups according to the manufacturers´ protocol (WT Plus Reagent Kit; Affymetrix, Inc). Briefly, 200 ng of total RNA were converted to cDNA. After amplification by in vitro transcription and another cDNS synthesis cycle, cDNA was fragmented and biotin labeled by terminal transferase. Finally, cDNA was hybridized to Affymetrix Mouse Transcriptome 1.0 arrays, washed and stained and scanned on the GC Scanner 3000 with G7 update as described in the standard Affymetrix GeneChip protocol (Version 2). Signal summarization using the RMA algorithm as well as statistical analysis were performed using the Affymetrix TAC software. The significance threshold was set to p < 0.05 and 0.01.
Mouse Gene Expression Profiling Protocol
To identify differentially expressed genes, statistical analyses were performed in which the experimental samples were compared to the respective baseline samples by using the RMA signal summarization method and ANOVA test implemented in the Affymetrix Transcriptome Analysis Suite (Folder 3_TAC_analysis).
Gene set enrichment analysis (GSEA) was performed with RMA signals calculated with the Affymetrix Expression Console, GSEA software version 4.1, and MSigDB geneset collection v7.4 using default settings and gene set permutation. Pathways showing a false discovery rate (FDR) <0.25 and a normalized enrichment score (NES) > 1.5 were identified.
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