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The ion channel mechanisms of the subthreshold inward depolarizing currents in the VTA dopaminergic neurons and their roles in the depression-like behavior

GSE276319 Mus musculus (mouse) Single-cell RNA-seq 45 samples Submitted 2024/11/27 Platform GPL21273
At a glance

Single-cell RNA-seq · mouse · 45 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. 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
45 samples: 5 conditions, mostly with about 7 replicates eachGroups 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)
The dopaminergic (DA) neurons in the ventral tegmental area (VTA) of middle brain play important role in emotion related behaviour, and the alteration of excitability of VTA DA neurons are believed to be the key determinants in behaviours of depression and drug addictions. The excitability of VTA DA neurons controls the release of DA in the projection fiber terminals thus controls the function of VTA DA neurons.
Read the full summary ↓
After many years hard work, we begin to understand how the excitability of VTA DA neurons are regulated, but these achievements are far from satisfactory. Furthermore, with recent progress and realization that property of VTA DA neurons, against the classical view that VTA DA neurons are homogeneous population, are distinctly different, thus the accumulated limited knowledge on the mechanism of excitability modulation of VTA DA neurons is especially short of expectation. The most outstanding indications of the heterogeneity of VTA DA neurons are represented by the distinctly different electrophysiological properties among VTA DA neurons projecting to different brain regions. However the underlying mechanism is not clear. In this application we plan to investigate the underlying mechanism determining the distinct excitability of VTA DA neurons projecting to the cortical and the limbic regions of the brain by single cell RNA sequencing (scRNA-seq). The main focus of the study will be on the intrinsic ion channels and the related modulation mechanism of VTA DA neuron excitability. On the basis of this we will further study the mechanism which underlie alteration of excitability of VTA DA neurons in condition of depression state, and still further the related depression behaviour.
This dataset
Open GSE276319 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 GSE276319_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: 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 PRJNA1156611 and SRA study SRP530446. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly with about 7 replicates each
l ×13 b ×10 m ×8 c ×7 p ×7

Supports a between-group comparison across 45 samples.

How we read this: 5 replicated groups read from 45 sample titles; they account for 45 of them. 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.