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ChIP-Seq analysis of H3K4me3 and H3K27ac histone marks without and with METTL8 knockdown

GSE229482 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2024/04/12 Platform GPL20301
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 24 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
24 samples: 12 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
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)
This project investigates the role METTL8 in human glioblastoma stem cells. In order to understand the transcriptomic changes upon deletion of METTL8, we performed this ChIP-seq and further downstream analyses. From this, we hope to identify novel methods to target glioblastoma stem cells via manipulation of METTL8.
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 GSE229482_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 PRJNA954736 and SRA study SRP432163. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly in duplicate
sh515_H3K4me3_IP ×2 sh515_IN_H3K4me3 ×2 sh516_H3K4me3_IP ×2 sh516_IN_H3K4me3 ×2 shNT_H3K4me3_IP ×2 shNT_IN_H3K4me3 ×2 sh515_H3K27ac_IP ×2 sh515_IN_H3K27ac ×2 +4 more

Supports a between-group comparison across 24 samples.

How we read this: 12 replicated groups read from 24 sample titles; they account for 24 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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