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Phenotypic changes in cortical astrocytes translatome across the estrous cycle

GSE312761 Mus musculus (mouse) RNA-seq (gene expression) 19 samples Submitted 2026/02/01 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 19 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
19 samples: 19 samples, each with a distinct title — no replicated groupsGroups 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)
Astroglia have recently been implicated in various functions in the brain including modulating neuronal network functions, forming components of the blood brain barrier, and responding to neuroinflammation. Indeed, the neocortex contains neuronal circuits responsible for mediating complex higher-order behaviours and astroglia have recently been implicated in modulating neocortical behaviours.
Read the full summary ↓
Neocortical astroglia express gonadal hormone receptors and respond to alterations in circulating gonadal hormones, which readily access the brain, with changes in function as well as protein and gene expression. In female rodents, circulating levels of estrogen and progesterone fluctuate across the estrous cycle and these cyclic changes might be expected to alter astroglia function. While some work has characterized astroglial protein expression changes during the estrous cycle in the cortex, no one has examined changes in active gene translation in astroglia across the estrous cycle. We use translating ribosome affinity purification with RNA sequencing (TRAPseq) to characterize the astroglial translatome in adult female mice during metestrus, proestrus, and estrus and compared it with that of male mice. We find the largest differences in the translatome between proestrus and estrus, and that males and females on metestrus cluster closely together, suggesting the neocortical astroglial translatome is responsive to circulating gonadal hormones. Additionally, neuroplastic processes are amongst the top gene ontologies called when examining differentially expressed genes between the different days of the cycle and between the days of the cycle. This suggests that cortical astrocyte phenotypes are rapidly modified across the estrous cycle, which may influence neocortical neuronal network function.
This dataset
Open GSE312761 in finder → Find more mouse RNA-seq datasets →
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 GSE312761_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1375828 and SRA study SRP651848. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
19 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 19 sample titles: 19 distinct titles with little repetition. 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.