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A single cell transcriptomic map of the developing Atoh1-lineage uncovers neural fate decisions and neuronal diversity in the hindbrain.

GSE233966 Mus musculus (mouse) Single-cell RNA-seq 32 samples Submitted 2024/06/23 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 32 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
32 samples: 12 conditions, mostly in duplicateGroups 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 single-cell transcriptomic map of the developing Atoh1 lineage identifies neural fate decisions and neuronal diversity in the hindbrainDevelopmental cell · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
A single-cell transcriptomic map of the developing Atoh1 lineage identifies neural fate decisions and neuronal diversity in the hindbrain
Butts JC, Wu SR, Durham MA et al. · Developmental cell 2024 · PMID 39106860 · doi:10.1016/j.devcel.2024.07.007
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE233966_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA979116 and SRA study SRP440568. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly in duplicate
E9.5, GFP-only, ×2 E10.5, GFP-only, ×2 E11.5, GFP/TdTom, ×2 E11.5, TdTom-only, ×2 E12.5, GFP/TdTom, ×2 E12.5, TdTom-only, ×2 E13.5, GFP/TdTom, ×2 E13.5, TdTom-only, ×2 +12 more

Supports a between-group comparison across 24 samples.

How we read this: 12 replicated groups read from 32 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.

Samples in this study
Datasets on a similar topic

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