GSE128174
Next Generation Sequencing (RNA-Sequencing) for the analysis of RUNX3 targets in H460, H460-ERT2-RUNX3 WT and H460-ERT2-RUNX3 MT(K94/171R mutation)
Purpose: The goal of this study is to compare the gene expression profiles of H460, H460-ERT2-RUNX3-WT and H460-ERT2-RUNX3-MT(K94/171R) cells. Methods: H460, H460-ERT2-RUNX3 WT, and H460-ERT2-RUNX3-MT(K94/171R) cells were serum-starved for 24 hr, and then stimulated with 10% serum or 10% serum + 1 uM 4-OHT for 0, 8, or 16 hr. RNA was extracted from the cells. Isolated total RNA was processed for preparation of an RNA-seq library using the Illumina TruSeq Stranded mRNA Sample Preparation kit (Illumina, San Diego, CA, USA). Quality and size of libraries were assessed using the Agilent 2100 Bioanalyzer DNA kit (Agilent, Santa Clara, CA, USA). All libraries were quantified by qPCR using a CFX96 Real Time System (Bio-Rad, Hercules, CA, USA) and sequenced on NextSeq500 sequencers (Illumina). Sequencing adapters and low-quality bases in the raw reads were trimmed using the Cutadapt software. The cleaned high-quality reads were mapped to the human reference genome hg19 (https://genome.ucsc.edu) using STAR software. Genes differentially expressed between two selected biological conditions were identified by Cuffdiff in the Cufflinks package (http://cole-trapnell-lab.github.io/cufflinks/papers/). Results: RNA-Sequencing Data suggest that the R-point defends against oncogenic K-RAS–induced tumorigenesis not only by regulating intracellular programs (cell cycle, apoptosis, and metabolic pathways), but also by regulating extracellular programs (inflammatory response and immune response). Overall design: Compare the gene expression profiles of H460, H460-ERT2-RUNX3-WT and H460-ERT2-RUNX3-MT(K94/171R) cells. Isolated total RNA was processed for preparation of an RNA-seq library using the Illumina TruSeq Stranded mRNA Sample Preparation kit (Illumina, San Diego, CA, USA). Quality and size of libraries were assessed using the Agilent 2100 Bioanalyzer DNA kit (Agilent, Santa Clara, CA, USA). All libraries were quantified by qPCR using a CFX96 Real Time System (Bio-Rad, Hercules, CA, USA) and sequenced on NextSeq500 sequencers (Illumina). Sequencing adapters and low-quality bases in the raw reads were trimmed using the Cutadapt software. The cleaned high-quality reads were mapped to the human reference genome hg19 (https://genome.ucsc.edu) using STAR software. Genes differentially expressed between two selected biological conditions were identified by Cuffdiff in the Cufflinks package (http://cole-trapnell-lab.github.io/cufflinks/papers/). For cell line studies, heatmaps were analyzed by the log-rank test using the PermutMatrix software. Gene clustering was analyzed using DAVID Bioinformatics Resources 6.8.