A spatial and projection-based transcriptomic atlas of paraventricular hypothalamic cell types
RNA-seq (gene expression) · mouse · 131 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
- 131 samples: 127 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
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 GSE303256_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 PRJNA1294609 and SRA study SRP602315. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 131 sample titles: 127 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
- GSM9117355 PVH-neuron nucleus, retrograde AAV, sample 27, lib. 1
- GSM9117356 PVH-neuron nucleus, retrograde AAV, sample 34, lib. 1
- GSM9117357 PVH-neuron nucleus, retrograde AAV, sample 120, lib. 1
- GSM9117358 PVH-neuron nucleus, retrograde AAV, sample 145, lib. 1
- GSM9117359 PVH-neuron nucleus, retrograde AAV, sample 197, lib. 1
- GSM9117360 PVH-neuron nucleus, retrograde AAV, sample 199, lib. 1
- GSM9117361 PVH-neuron nucleus, retrograde AAV, sample 201, lib. 1
- GSM9117362 PVH-neuron nucleus, retrograde AAV, sample 203, lib. 1
- GSM9117363 PVH-neuron nucleus, retrograde AAV, sample 214, lib. 1
- GSM9117364 PVH-neuron nucleus, retrograde AAV, sample 223, lib. 1
- GSM9117365 PVH-neuron nucleus, retrograde HSV, sample 54, lib. 1
+ 91 more — browse all 131 samples with per-sample file links →
- GSE303081 A spatial and projection-based transcriptomic atlas of paraventricular hypothalamic cell types (Smart-Seq2) 81 samples shares projection-based, paraventricular, hypothalamic, spatial, types
- GSE303080 A spatial and projection-based transcriptomic atlas of paraventricular hypothalamic cell types (Drop-Seq) 29 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
- GSE318731 Deep Cellular and Spatial Profiling of the Mouse Spinal Cord Reveals Sex-Specific Neuron Types and the Ascending Projection Neuron Repertoire 72 samples shares spatial, types
- GSE312237 Spatial transcriptomic profiling identifies lacrimal gland epithelial cell-driven mechanisms underlying autoimmunity in Sjögren’s disease 90 samples shares spatial
- GSE239602 Single-cell and spatial transcriptomics uncovers the role of senescent vascular cells in pathological arterial remodeling during murine atherosclerosis 82 samples shares spatial
- GSE255369 Characterization of cuprizone mouse model at single-cell and spatial transcriptomics level[snRNA-seq] 45 samples shares spatial
- GSE300288 Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [scRNA-seq] 31 samples shares spatial
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.