Spatiotemporal Proteomic and Transcriptomic Landscape of DAT+ Dopaminergic Neurons Development and Function
RNA-seq (gene expression) · mouse · 27 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
- 27 samples: 27 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
- Spatiotemporal proteomic and transcriptomic landscape of DAT+ dopaminergic neurons development and functioniScience · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE285556_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1204355 and SRA study SRP554531. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 27 sample titles: 27 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.
- GSM8704782 20210408CZL1-N7-1_BKDL210018889-1a-AK7343-N503
- GSM8704783 20210408CZL1-N7-2_BKDL210018889-1a-AK9824-N503
- GSM8704784 20210408CZL1-N7-3_BKDL210018889-1a-AK13858-N503
- GSM8704785 20210408CZL1-S7-1_BKDL210018889-1a-AK9007-N503
- GSM8704786 20210408CZL1-S7-2_BKDL210018889-1a-AK5785-N503
- GSM8704787 20210408CZL1-S7-3_BKDL210018889-1a-AK14539-N503
- GSM8704788 20210408CZL1-V7-1_BKDL210018889-1a-AK13859-N503
- GSM8704789 20210408CZL1-V7-2_BKDL210018889-1a-AK13860-N503
- GSM8704790 20210408CZL1-V7-3_BKDL210018889-1a-AK6759-N503
- GSM8704791 20210224czl1-N30-1_BKDL210011248-1a-AK7343-N506
- GSM8704792 20210224czl1-N30-2_BKDL210011248-1a-AK9824-N506
- GSM8704793 20210224czl1-N30-3_BKDL210011248-1a-AK13858-N506
- GSM8704794 20210224czl1-S30-1_BKDL210011248-1a-AK9007-N506
- GSM8704795 20210224czl1-S30-2_BKDL210011248-1a-AK5785-N506
- GSM8704796 20210224czl1-S30-3_BKDL210011248-1a-AK14539-N506
- GSM8704797 20210224czl1-V30-1_BKDL210011248-1a-AK13860-N506
- GSM8704798 20210224czl1-V30-2_BKDL210011248-1a-AK13859-N506
- GSM8704799 20210224czl1-V30-3_BKDL210011248-1a-AK6759-N506
- GSM8704800 20210415CZL-N60-1_BKDL210020494-1a-AK14539-N506
- GSM8704801 20210415CZL-N60-3_BKDL210020494-1a-AK17668-N506
- GSM8704802 20210415CZL-N60-4_BKDL210020494-1a-AK22868-N506
- GSM8704803 20210415CZL-S60-1_BKDL210020494-1a-AK13861-N506
- GSM8704804 20210415CZL-S60-3_BKDL210020494-1a-AK10029-N506
- GSM8704805 20210415CZL-S60-4_BKDL210020494-1a-AK13862-N506
- GSM8704806 20210415CZL-V60-1_BKDL210020494-1a-AK23147-N506
- GSM8704807 20210415CZL-V60-2_BKDL210020494-1a-AK24346-N506
- GSM8704808 20210415CZL-V60-3_BKDL210020494-1a-AK24345-N506
- GSE283213 Comparative proteomic landscapes elucidate human preimplantation development and failure 24 samples shares dat, proteomic
- GSE213083 Profiling data from primary mouse cortical neurons 85 samples shares dat, neurons
- GSE252967 Synuclein pathology disrupts mitochondrial function in dopaminergic and cholinergic neurons at-risk in Parkinson’s disease 20 samples shares dopaminergic, neurons
- GSE311156 Technical and biological sources of noise confound multiplexed enhancer AAV screening [dataset3] 797 samples shares dat
- GSE260522 Transcriptional function of E2A, Ebf1, Pax5, Ikaros and Aiolos analyzed by in vivo acute protein degradation in early B cell development [RNA-seq] 86 samples shares dat
- GSE270151 Development of an ideal inactivated vaccine for COVID-19 (mouse lung RNA-seq data) 52 samples shares dat
- GSE327494 Localized PD-1 CAR T therapy reprograms neuroinflammation - mouse CAR T data. 302 samples shares dat
- GSE270378 Elucidating the transcriptomic response of adult hypothalamic neuron cells to cannabidiol (CBD) exposure 30 samples shares dat
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.