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Alcohol and fear conditioning produce strain-specific changes in the dorsal hippocampal transcriptome of adolescent C57BL/6J and DBA/2J mice

GSE269129 Mus musculus (mouse) RNA-seq (gene expression) 63 samples Submitted 2024/08/21 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 63 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
63 samples: 63 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.
Paper
Alcohol and fear conditioning produce strain-specific changes in the dorsal hippocampal transcriptome of adolescent C57BL/6J and DBA/2J miceAlcohol, clinical & experimental research · 2024
Summary (written by the submitters)
Adolescent sensitivity to alcohol is predictive of later alcohol use and is influenced by genetic background. Data from our laboratory suggested that adolescent C57BL/6J and DBA/2J inbred mice differed in susceptibility to dorsal hippocampus-dependent contextual fear learning deficits after acute alcohol exposure. To investigate the biological underpinnings of this strain difference, we examined dorsal hippocampus gene expression via RNA-sequencing after alcohol and/or fear conditioning across male and female C57BL/6J and DBA/2J adolescents.
Read the full summary ↓
Strains exhibited dramatic differences in dorsal hippocampal gene expression. Specifically, C57BL/6J and DBA/2J strains differed in 3526 transcripts in males and 2675 transcripts in females. We identified pathways likely to be involved in mediating alcohol’s effects on learning, including networks associated with Chrna7 and Fmr1. These findings provide insight into the mechanisms underlying strain differences in alcohol’s effects on learning and suggest that different biological networks are recruited for learning based on genetics, sex, and alcohol exposure.
Published in
Alcohol and fear conditioning produce strain-specific changes in the dorsal hippocampal transcriptome of adolescent C57BL/6J and DBA/2J mice
Seemiller LR, Goldberg LR, Sebastian A et al. · Alcohol, clinical & experimental research 2024 · PMID 39279663 · doi:10.1111/acer.15440
This dataset
Open GSE269129 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 GSE269129_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 PRJNA1120368 and SRA study SRP511939. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39279663) ↗
Study design
63 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 63 sample titles: 63 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

+ 23 more — browse all 63 samples with per-sample file links →

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.