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Hypothalamic reprogramming by sperm microRNA

GSE73574 Mus musculus (mouse) Single-cell RNA-seq 12 samples Submitted 2016/01/01 Platform GPL13112
At a glance

Single-cell RNA-seq · mouse · 12 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
12 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)
Nine microRNAs (miRs) previously identified as increased in the sperm of stressed sires were microinjected into C57/Bl6:129S6/SvEvTac mouse single cell zygotes to examine the hypothesis that specific sperm miRs function postfertilization to alter offspring stress responsivity. Derived mice were exmined for hypothalamic-pituitary-adrenal axis stress response in adulthood, and the paraventricular nucleus of the hypothalamus was subsequently collected for gene expression analysis by next gen sequencing.
Read the full summary ↓
Similar to what we reported previously in our paternal stress model, the majority of diffferenitally expressed genes in the PVN exhibited decreased expression, supporting that an increase of specific sperm miRs in the zygote can elicit long-term genetic reprogramming. Futher, marked changes in the expression of extracellular matrix and collagen gene sets suggested altered blood-brain barrier permeability with potential consequences for neuroendocrine function.
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 GSE73574_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA297350 and SRA study SRP064318. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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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.