← BioTransfer GEO Dataset Finder
GEO series

Oncogenic Enhancers from Small Genomic Insertions

GSE76783 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 30 samples Submitted 2016/07/08 Platform GPL11154Platform GPL16791
Summary
The noncoding regions of tumor cell genomes harbor a considerable fraction of total variation, but the functional contribution of such variants to tumorigenesis is ill-defined. Among these noncoding variants, somatic insertions are among the least well-characterized due to challenges with interpreting short-read DNA sequences. To address this, we have identified enhancer-associated small insertion variants across a spectrum of tumor cells by using ChIP-seq to enrich and sequence enhancer DNA, and a computational approach with multiple alignment procedures to identify small insertions. Among the 82 tumor genomes studied here, small insertions were frequently observed in enhancer DNA sequences located near known oncogenes. Further study of one such insertion, found in primary leukemia tumor genomes, revealed that it nucleates formation of an active enhancer that drives expression of the LMO2 oncogene. The catalogue of enhancer-associated small insertion variants described here provides a foundation for further investigating the functions of this class of variants across a range of human cancers.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE76783_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 30 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA308578 and SRA study SRP068361. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 30 more — browse all 30 samples with per-sample file links →

Similar datasets

Search all human ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.