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Changes in global open chromatin structure caused by acute deletion of TERT in spermatogonial stem cells

GSE145658 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 22 samples Submitted 2024/07/11 Platform GPL21103
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 22 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
Mus musculus (mouse)
Samples
22 samples: 8 conditions, mostly in triplicateGroups 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)
To understand the catalytic activity-independent functions of TERT in global chromatin structure, we acutely deleted TERT in spermatogonial stem cell (SSC) populations in the testis, and performed ATAC-seq. We find significant global loss of open chromatin structure in TERT-deleted SSC populations.
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 GSE145658_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 PRJNA608530 and SRA study SRP250595. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
TERT-hetero US-h ×3 TERT-hetero DS ×3 TERT-hetero_RoundSpermatids ×3 TERT-deleted US-h ×3 TERT-deleted US-m ×3 TERT-deleted DS ×3 TERT-hetero US-m ×2 TERT-hetero_Spermatocytes ×2

Supports a between-group comparison across 22 samples.

How we read this: 8 replicated groups read from 22 sample titles; they account for 22 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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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.