A spatial and projection-based transcriptomic atlas of paraventricular hypothalamic cell types (Drop-Seq)
Single-cell RNA-seq · mouse · 29 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
- 29 samples: 25 distinct titles, 4 of them repeatedGroups 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
- A spatial and projection-based transcriptomic atlas of paraventricular hypothalamic cell typesResearch square · 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 GSE303080_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: 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 PRJNA1293951 and SRA study SRP602316. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 29 sample titles: 25 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.
- GSM9117326 PVH cells, female, sample 1, drop-run 1, RT-rxn A, lib. 1
- GSM9117327 PVH cells, female, sample 1, drop-run 2, RT-rxn A, lib. 1
- GSM9117328 PVH cells, male, sample 1, drop-run 1, RT-rxn A, lib. 1
- GSM9117329 PVH cells, male, sample 1, drop 2, RT-rxn A, lib. 1
- GSM9117330 PVH cells, male, sample 1, drop 3, RT-rxn A, lib. 1
- GSM9117331 PVH cells, female, sample 2, drop 1, RT-rxn A, lib. 1
- GSM9117332 PVH cells, female, sample 2, drop 2, RT-rxn A, lib. 1
- GSM9117333 PVH cells, male, sample 2, drop 1, RT-rxn A, lib. 1
- GSM9117334 PVH cells, male, sample 2, drop 2, RT-rxn A, lib. 1
- GSM9117335 PVH cells, male, sample 2, drop 3, RT-rxn A, lib. 1
- GSM9117336 PVH cells, female, sample 3, drop 1, RT-rxn A, lib. 1
- GSM9117337 PVH cells, female, sample 3, drop 1, RT-rxn B, lib. 1
- GSM9117338 PVH cells, female, sample 3, drop 1, RT-rxn B, lib. 2
- GSM9117339 PVH cells, male, sample 3, drop 1, RT-rxn A, lib. 1
- GSM9117340 PVH cells, male, sample 3, drop 1, RT-rxn A, lib. 2
- GSM9117341 PVH cells, male, sample 3, drop 1, RT-rxn B, lib. 1
- GSM9117342 PVH cells, male, sample 3, drop 2, RT-rxn A, lib. 1
- GSM9117343 PVH cells, female, sample 4, drop 1, RT-rxn A, lib. 1
- GSM9117344 PVH cells, male, sample 4, drop 1, RT-rxn B, lib. 1
- GSM9117345 PVH cells, male, sample 4, drop 2, RT-rxn A, lib. 1
- GSM9117346 PVH cells, female, sample 5, drop 1, RT-rxn A, lib. 1
- GSM9117347 PVH cells, female, sample 5, drop 1, RT-rxn B, lib. 1
- GSM9117348 PVH cells, female, sample 5, drop 2, RT-rxn A, lib. 1
- GSM9117349 PVH cells, female, sample 6, drop 1, RT-rxn A, lib. 1
- GSM9117350 PVH cells, female, sample 6, drop 2, RT-rxn A, lib. 1
- GSM9117351 PVH cells, female, sample 7, drop 1, RT-rxn A, lib. 1
- GSM9117352 PVH cells, female, sample 7, drop 1, RT-rxn A, lib. 2
- GSM9117353 PVH cells, female, sample 7, drop 1, RT-rxn B, lib. 1
- GSM9117354 PVH cells, female, sample 7, drop 1, RT-rxn B, lib. 2
- GSE303256 A spatial and projection-based transcriptomic atlas of paraventricular hypothalamic cell types 131 samples shares projection-based, paraventricular, hypothalamic, spatial, types
- GSE303081 A spatial and projection-based transcriptomic atlas of paraventricular hypothalamic cell types (Smart-Seq2) 81 samples shares projection-based, paraventricular, hypothalamic, spatial, types
- GSE303082 A spatial and projection-based transcriptomic atlas of paraventricular hypothalamic cell types (DroNc-Seq) 14 samples shares projection-based, paraventricular, hypothalamic, spatial, types
- GSE303083 A spatial and projection-based transcriptomic atlas of paraventricular hypothalamic cell types (10X Chromium v3 multiplexed) 6 samples shares projection-based, paraventricular, hypothalamic, spatial, types
- GSE303185 A spatial and projection-based transcriptomic atlas of paraventricular hypothalamic cell types (10X Chromium v3) 1 samples shares projection-based, paraventricular, hypothalamic, spatial, types
- GSE252308 Paraventricular hypothalamic RUVBL2 neurons suppress appetite by enhancing excitatory synaptic transmission in distinct neurocircuits [RNA-seq] 6 samples shares paraventricular, hypothalamic
- GSE249791 Paraventricular hypothalamic RUVBL2 neurons suppress appetite by enhancing excitatory synaptic transmission in distinct neurocircuits 4 samples shares paraventricular, hypothalamic
- GSE288245 Long-term post-ovariectomy mouse model recapitulates hypothalamic transcriptomic changes observed during the menopausal transition in women 33 samples shares hypothalamic
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