Accession PRJNA663474
Title Next Generation Sequencing Facilitates Quantitative Analysis of TP53-WT and TP53-KO HCT116 cells transcriptomes [RNA-seq]
Relevance Medical
Data types Transcriptome or Gene expression
Sample scope Multiisolate
Organism Homo sapiens [Taxonomy ID: 9606]
Description Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare TP53-WT and TP53-KO HCT116 cells transcriptome profiling (RNA-seq) under 5-FU treatment condition and to evaluate the correlation between transcriptome profileing and chromatin accessibility under 5-FU treatment. Methods: HCT116 cell profiles of TP53-WT and TP53- KO were generated by deep sequencing, in duplicates, using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform levels: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA). Conclusions: Our study represents the detailed analysis of TP53-WT and TP53-KO HCT116 cell transcriptomes under 5-FU treatment with different timepoint, 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 RNA-seq offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a TP53-WT and TP53-KO cells with and without 5-FU treatment in different timepoint. We conclude that NGS based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. Overall design: 5-FU treated and non-treated mRNA profiles of TP53-WT and TP53-KO cells in different timepoint.
Publication
PubMed ID Article title Journal name DOI Year
33613715
External link
Link description
Organization Department of Tropical Medicine, Yonsei University College of Medicine
Data Source NCBI

Project Data

Resource name Description
Experiment (16)  show -