Single-cell RNA-seq study of ascending somatosensory assembloids and human primary DRG
Single-cell RNA-seq · human · 24 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 24 samples: 5 conditions, mostly with about 4 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.
- Paper
- Human assembloid model of the ascending neural sensory pathwayNature · 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 GSE251892_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 PRJNA1055891 and SRA study SRP479642. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 5 replicated groups read from 24 sample titles; they account for 24 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.
- GSM7989583 hSeO_1 hSeO
- GSM7989584 hSeO_2 hSeO
- GSM7989585 hSeO_3 hSeO
- GSM7989586 hSeO_4 hSeO
- GSM7989587 hdSpO1 hdSpO
- GSM7989588 hdSpO2 hdSpO
- GSM7989589 hdSpO3 hdSpO
- GSM7989590 hdSpO4 hdSpO
- GSM7989591 hdSpO5 hdSpO
- GSM8728140 hASA_1 hASA
- GSM8728141 hASA_2 hASA
- GSM8728142 hASA_3 hASA
- GSM8728143 hASA_4 hASA
- GSM8728144 IndividualOrganoidPooled_1 IndividualOrganoidPooled
- GSM8728145 IndividualOrganoidPooled_2 IndividualOrganoidPooled
- GSM8728146 IndividualOrganoidPooled_3 IndividualOrganoidPooled
- GSM8728147 IndividualOrganoidPooled_4 IndividualOrganoidPooled
- GSM8728148 hDRG_1 hDRG
- GSM8728149 hDRG_2 hDRG
- GSM8728150 hDRG_3 hDRG
- GSM8728151 hDRG_4 hDRG
- GSM8728152 hDRG_5 hDRG
- GSM8728153 hDRG_6 hDRG
- GSM8728154 hDRG_7 hDRG
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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.