← BioTransfer GEO Dataset Finder
GEO series

Activation of proto-oncogenes by disruption of chromosome neighborhoods [ChIP-Seq]

GSE68976 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2015/05/28 Platform GPL11154Platform GPL16791
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 10 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Topic
Acute lymphoblastic leukemiaThis series is part of our curated briefing on it.
Samples
10 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Mutations such as gene fusion, translocation and focal amplification are a frequent cause of proto-oncogene activation during tumorigenesis, but such mutations do not explain all cases of proto-oncogene activation. Here we show that disruption of local chromosome conformation can also activate proto-oncogenes in human cells. We mapped chromosome structures in T-cell acute lymphoblastic leukemia (T-ALL), and found that active oncogenes and silent proto-oncogenes generally occur within insulated neighborhoods formed by the looping of two interacting CTCF sites co-occupied by cohesin.
Read the full summary ↓
Recurrent microdeletions frequently overlap neighborhood boundary sites in T-ALL genomes, and we demonstrate that site-specific perturbation of loop boundaries is sufficient to activate the respective proto-oncogenes in non-malignant cells. We found somatic genomic rearrangements affecting loop boundaries in many cancers. These results suggest that chromosome structural organization is fundamental to identify functional somatic alterations in cancer genomes.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE68976_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA284251 and SRA study SRP058436. 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 Load samples and it will be fetched from NCBI.

+ 10 more — browse all 10 samples with per-sample file links →

More Acute lymphoblastic leukemia 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.