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Transcriptional Amplification in Tumor Cells with Elevated c-Myc

GSE36354 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 56 samples Submitted 2012/04/05 Platform GPL11154
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 56 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)
Samples
56 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)
Excessive expression of c-Myc occurs frequently in human cancers, where high levels are associated with tumor aggression and poor clinical outcome, but the effect of high levels of c-Myc on global gene regulation is poorly understood. We report here that in tumor cells expressing high levels of c-Myc, the transcription factor binds to E-box sequences in the core promoters of most actively transcribed genes and, unexpectedly, the enhancers of these active genes.
Read the full summary ↓
The predominant effect of increasing c-Myc levels at both proximal and distal promoter elements is to produce higher levels of transcription at existing active genes by promoting RNA polymerase II elongation, as opposed to stimulating transcription of novel target genes. Our results argue that c-Myc overexpression drives increased transcription of growth-promoting genes, and does so by amplifying the levels of transcripts associated with the entire gene expression program of the cancer cell. Thus, excess c-Myc functions to elicit the transcriptional amplification of existing active genes through the invasion of enhancers across the cancer cell genome, thereby reducing the rate-limiting constraints required for continuous tumor growth and proliferation.
This dataset
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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.

Series matrix ↓
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 GSE36354_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA153317 and SRA study SRP011429. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 23021215) ↗
Samples in this study

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+ 56 more — browse all 56 samples with per-sample file links →

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