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Transcriptional profile of NOMO1 knockout cell lines [Affymetrix]

ABSTRACT: We report the data of whole Gene expression of three different cell lines, HT-29 (early-onset colorectal cancer, EOCRC), HCT-116 (EOCRC) and HS-5 (bone marrow) in order to analyze the transcriptional profile generated after NOMO1 (Nodal Modulator 1) gene inactivation, a candidate biomarker in EOCRC. The generation of the NOMO1 knockout cell lines was performed using CRISPR/cas9 technology. The main objective was to identify whether the loss of NOMO1 generated a differential transcriptional profile in each cell line and whether it was possible to identify genes commonly deregulated in the three NOMO1-KO cell lines. The analysis revealed a set of differentially expressed genes in common to the three cell lines as a consequence of NOMO1 inactivation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE198324 | GEO | 2022/08/31

REPOSITORIES: GEO

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Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived HCT-116 cell transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis. Methods: HCT-116 cell mRNA profiles of HCT-116-GOLPH3-Vector and HCT-116-GOLPH3-Overepression were generated by deep sequencing, in triplicate, using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Results: RNA sequencing (RNA-seq) was used to investigate gene expression in HCT-116-PMSCV-Vector and HCT-116-PMSCV GOLPH3 cells, while Gene Ontology (GO) was used to annotate the various functional genes. By comparing the differentially expressed genes, we noticed that GOLPH3 was associated with EMT. Gene set enrichment analysis (GSEA) analysis of the RNA-seq results based on the GSE77953 dataset was performed to investigate the biological functions of HCT-116-PMSCV-Vector and HCT-116-PMSCV-GOLPH3 cells. The findings suggested that GOLPH3 expression was positively associated with colon cancer cell autophagy. Signal pathway enrichment was next analyzed based on the differential expression of genes between HCT-116-PMSCV-Vector and HCT-116-PMSCV-GOLPH3 cells, as examined by RNA-seq. Notably, GOLPH3 has correlated with the PI3K/Akt signaling pathway. Conclusions: Our study represents the first detailed analysis of HCT-116 cell transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

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Transcriptional profile of NOMO1 knockout cell lines [Affymetrix]

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