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Astrocyte molecular changes during basolateral amygdala-related emotional behaviors [set4]

GSE285149 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/06/18 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 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)
Astrocytes tile the central nervous system (CNS) and have fundamental roles in physiology and disease, yet there remain open questions about their contributions to physiological and pathological processes in the CNS. The basolateral amygdala (BLA) integrates rewarding and aversive stimuli and is integral to mood regulation and emotional behaviors.
Read the full summary ↓
As many past studies have focused on neurons in the BLA, the contribution of BLA astrocytes to emotional behaviors is largely unknown. A major bottleneck has been the paucity of reliable tools to explore astrocyte functions and molecular mechanisms in vivo. This shortfall has been addressed by recent developments in the field reporting approaches to systematically explore the role of astrocytes with improved tools. Here, we used several such tools to elucidate BLA astrocytic changes during emotional behavioral responses. Applying several mouse models of stress (negative emotional triggers) and astrocyte-specific adenoassociated viruses (AAVs), [Ca2+] imaging, RNA sequencing, and proteomics, we explored the role of astrocytes at the molecular and cellular level in the BLA. We analyzed the data to evaluate how astrocytes might be exploited in vivo to improve behavioral outcomes in emotion-related disorders such as anxiety and depression.
This dataset
Open GSE285149 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 GSE285149_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 PRJNA1201266 and SRA study SRP553090. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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+ 16 more — browse all 16 samples with per-sample file links →

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