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The function of the ZFP189 transcription factor in the nucleus accumbens facilitates cocaine-specific transcriptional and behavioral adaptations

GSE276453 Mus musculus (mouse) RNA-seq (gene expression) 45 samples Submitted 2024/10/01 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 45 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
45 samples: 45 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
The function of the ZFP189 transcription factor in the nucleus accumbens facilitates cocaine-specific transcriptional and behavioral adaptationsMolecular psychiatry · 2025
Summary (written by the submitters)
Here, we explore the function of a drug-associated repressive transcription factor (TF), ZFP189, whose expression in the nucleus accumbens (NAc) facilitates cocaine-induced molecular and behavioral adaptations. To uncover the molecular action of ZFP189, we created synthetic ZFP189 TFs of distinct transcriptional function, including ZFP189VPR, which activates the expression of target genes and exerts opposite transcriptional control to the endogenously repressive ZFP189.
Read the full summary ↓
By virally delivering synthetic ZFP189 TFs to the NAc of mice, we discover that the molecular control exerted by synthetic or endogenous ZFP189 solely alters behavioral response to cocaine but not morphine or palatable food. Transcriptional adaptation occurred in response to cocaine, but not morphine. We demonstrate that NAc ZFP189 function drives the cocaine self-administration behaviors, whereas NAc ZFP189VPR impedes this worsening of cocaine taking behaviors. Collectively, this research illuminates the mechanisms through which a drug-associated TF specifically coordinates the brain adaptations necessary for the increasing of cocaine self-administration behaviors.
Published in
The function of the ZFP189 transcription factor in the nucleus accumbens facilitates cocaine-specific transcriptional and behavioral adaptations
Picone JA, Hassan A, Kim RK et al. · Molecular psychiatry 2025 · PMID 39587295 · doi:10.1038/s41380-024-02852-7
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 GSE276453_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: 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 PRJNA1157405 and SRA study SRP530688. Searching any of these in the dataset finder brings you back here.

Study design
45 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 45 sample titles: 45 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

+ 5 more — browse all 45 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.