| Literature DB >> 33326110 |
Jeremy M Simon1,2,3, Nicholas C Gomez4.
Abstract
Ewing sarcoma is a highly malignant tumor characterized by a chromosomal translocation that modifies the activity of an ETS family transcription factor. The most prevalent translocation product, EWSR1-FLI1, exploits a permissive and unique chromatin environment of stem cells, and transforms them into an oncogenic state through alterations to gene expression and gene regulatory programs. Though the transformation ability of, and subsequent reliance on EWSR1-FLI1 had been previously described, the advent of genome-wide sequencing technologies allowed for the specific identification of genomic loci and genes targeted by EWSR1-FLI1. Furthermore, the characterization of the chromatin environment in these, and other, cell types could not have been accomplished without the computational and statistical methods that enable large-scale data analysis. Here, we outline in detail the tools and steps needed to analyze genome-wide transcription factor binding and histone modification data (chromatin immunoprecipitation, ChIP-seq), as well as chromatin accessibility data (assay for transposase-accessible chromatin, ATAC-seq) from Ewing sarcoma cells. Our protocol includes a compilation of data quality control metrics, trimming of adapter sequences, reference genome alignment, identification of enriched sites ("peaks") and motifs, as well as annotation and visualization, using real-world data. These steps should provide a platform on which molecular biologists can build their own analytical pipelines to aid in data processing, analysis, and interpretation.Entities:
Keywords: ATAC-Seq; Bioinformatics; ChIP-seq; EWSR1-FLI1; Epigenetics; Ewing sarcoma; H3K27ac; Next-generation sequencing
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Year: 2021 PMID: 33326110 DOI: 10.1007/978-1-0716-1020-6_22
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745