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Relapse to cocaine-seeking is regulated by medial habenula Nr4a2

GSE208081 Mus musculus (mouse) Single-nucleus RNA-seq 19 samples Submitted 2024/03/01 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 19 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). 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
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.
Paper
Relapse to cocaine seeking is regulated by medial habenula NR4A2/NURR1 in miceCell reports · 2024
Summary (written by the submitters)
After exposure to drugs of abuse, the reward circuit can experience persistent changes that are thought to underlie relapse behavior. These changes can be epigenetic in nature, and here we identify an epigenetic regulator of memory processes, nuclear orphan receptor subfamily4 groupA member2 (NR4A2 aka NURR1), as necessary for relapse to cocaine-seeking behavior.
Read the full summary ↓
Nr4a2 is an epigenetically regulated immediate early gene and transcription factor that is highly expressed in the medial habenula (MHb). Despite the well-studied contributions of the MHb to nicotine-associated behaviors, the MHb is not classically included in reward circuits. Therefore, the role of MHb NR4A2 in cocaine-seeking and relapse behavior remains largely unknown. This is a key open question as NR4A2 is a powerful regulator of memory processes dependent on epigenetic mechanisms. In this study, we examined the role of MHb NR4A2 in cued reinstatement of cocaine self-administration in mice, and found that over-expressing a dominant negative form of Nr4a2 (Nurr2c) in the MHb results in a near complete block of   relapse-like behavior. We used single-nucleus transcriptomics to characterize the molecular cascade following the manipulation of Nr4a2, revealing changes in transcriptional networks related to addiction, neuroplasticity, and glutamatergic signaling. Together, these results place the MHb in the reward circuit as a pivotal regulator of relapse behavior and demonstrate the importance of NR4A2 as a key mechanism driving relapse behavior in the MHb.
Published in
Relapse to cocaine seeking is regulated by medial habenula NR4A2/NURR1 in mice
Childs JE, Morabito S, Das S et al. · Cell reports 2024 · PMID 38489267 · doi:10.1016/j.celrep.2024.113956
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 GSE208081_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 PRJNA858117 and SRA study SRP386137. Searching any of these in the dataset finder brings you back here.

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
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