← BioTransfer GEO Dataset Finder
GEO series

ISWI chromatin remodeler SMARCA5 is essential for meiotic gene expression and male fertility in mammals

GSE279216 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2024/12/05 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 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
Mus musculus (mouse)
Samples
10 samples: 5 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.
Paper
ISWI chromatin remodeler SMARCA5 is essential for meiotic gene expression and male fertility in mammalsbioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
Regulation of the transcriptome to promote meiosis is important for sperm development and fertility. However, how chromatin remodeling directs the transcriptome during meiosis in male germ cells is largely unknown. Here, we demonstrate that the ISWI family ATP-dependent chromatin remodeling factor SMARCA5 (SNF2H) plays a critical role in regulating meiotic prophase progression during spermatogenesis.
Read the full summary ↓
Males with germ cell-specific depletion of SMARCA5 are infertile and unable to form sperm. Loss of Smarca5 results in failure of meiotic progression with abnormal spermatocytes beginning at the pachytene stage and an aberrant global increase in chromatin accessibility, especially at genes important for meiotic prophase.
Published in
ISWI chromatin remodeler SMARCA5 is essential for meiotic gene expression and male fertility in mammals
Kataruka S, Malla AB, Rainsford SR et al. · bioRxiv : the preprint server for biology 2024 · PMID 39464039 · doi:10.1101/2024.10.14.618292
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 GSE279216_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 PRJNA1171409 and SRA study SRP537744. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in duplicate
smarca5_scRNAseq ×2 atac_wt ×2 atac_smarca5_ko ×2 atac_pachy_wt ×2 atac_pachy_smarca5_ko ×2

Supports a between-group comparison across 10 samples.

How we read this: 5 replicated groups read from 10 sample titles; they account for 10 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

Search all mouse RNA-seq 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.