Single Cell Transcriptional Characterization of the Developing Organ of Corti Identifies Etv4/5/1 as Regulators of Lateral Cell Identity
Single-cell RNA-seq · mouse · 24 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 24 samples: 8 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
- Single-Cell Profiling of the Developing Organ of Corti Identifies Etv4/5/1 as Key Regulators of Pillar Cell IdentitybioRxiv : the preprint server for biology · 2026
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 GSE292561_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 PRJNA1240219 and SRA study SRP572176. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 8 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.
- GSM8861468 Cochlear epithelium, E11_WT_1 Cochlear epithelium, E1…
- GSM8861469 Cochlear epithelium, E11_WT_2 Cochlear epithelium, E1…
- GSM8861470 Cochlear epithelium, E11_WT_3 Cochlear epithelium, E1…
- GSM8861471 Cochlear epithelium, E11_WT_4 Cochlear epithelium, E1…
- GSM8861472 Cochlear epithelium, E12_WT_4 Cochlear epithelium, E1…
- GSM8861473 Cochlear epithelium, E12_WT_5 Cochlear epithelium, E1…
- GSM8861474 Cochlear epithelium, E12_WT_6 Cochlear epithelium, E1…
- GSM8861475 Cochlear epithelium, E12_WT_7 Cochlear epithelium, E1…
- GSM8861476 Cochlear epithelium, E13_1 Cochlear epithelium, E13
- GSM8861477 Cochlear epithelium, E13_2 Cochlear epithelium, E13
- GSM8861478 Cochlear epithelium, E13_3 Cochlear epithelium, E13
- GSM8861479 Cochlear epithelium, E14_4 Cochlear epithelium, E14
- GSM8861480 Cochlear epithelium, E14_5 Cochlear epithelium, E14
- GSM8861481 Cochlear epithelium, E14se_1 Cochlear epithelium, E1…
- GSM8861482 Cochlear epithelium, E14se_2 Cochlear epithelium, E1…
- GSM8861483 Cochlear epithelium, E16_Fgfr3_KO1 Cochlear epithelium, E1…
- GSM8861484 Cochlear epithelium, E16_Fgfr3_KO2 Cochlear epithelium, E1…
- GSM8861485 Cochlear epithelium, E16_Fgfr3_KO3 Cochlear epithelium, E1…
- GSM8861486 Cochlear epithelium, E16_Fgfr3_KO4 Cochlear epithelium, E1…
- GSM8861487 Cochlear epithelium, E16_Fgfr3_WT1 Cochlear epithelium, E1…
- GSM8861488 Cochlear epithelium, E16_Fgfr3_WT2 Cochlear epithelium, E1…
- GSM8861489 Cochlear epithelium, E16_Fgfr3_WT4 Cochlear epithelium, E1…
- GSM8861490 Cochlear epithelium, E16se_2 Cochlear epithelium, E1…
- GSM8861491 Cochlear epithelium, E16se_3 Cochlear epithelium, E1…
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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.