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Compensatory growth and recovery of tissue cytoarchitecture after transient cartilage-specific cell death in foetal mouse limbs

GSE235779 Mus musculus (mouse) RNA-seq (gene expression) 68 samples Submitted 2024/03/11 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 68 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
68 samples: 68 samples, each with a distinct title — no replicated groupsGroups 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
Compensatory growth and recovery of cartilage cytoarchitecture after transient cell death in fetal mouse limbsNature communications · 2024
Summary (written by the submitters)
A major question in developmental and regenerative biology is how organ size is controlled by progenitor cells. For example, while limb bones exhibit catch-up growth (recovery of a normal growth trajectory after transient developmental perturbation), it is unclear how this emerges from the behaviour of chondroprogenitors, the cells sustaining the cartilage anlagen that are progressively replaced by bone.
Read the full summary ↓
Here we show that transient sparse cell death in the mouse foetal cartilage was repaired postnatally, via a two-step process. During injury, progression of chondroprogenitors towards more differentiated states was delayed, leading to altered cartilage cytoarchitecture and impaired bone growth. Then, once cell death was over, chondroprogenitor differentiation was accelerated and cartilage structure recovered, including partial rescue of bone growth. At the molecular level, ectopic activation of mTORC1 correlated with, and was necessary for, part of the recovery, revealing a specific candidate to be explored during normal growth and in future therapies.
Published in
Compensatory growth and recovery of cartilage cytoarchitecture after transient cell death in fetal mouse limbs
Ho H'ng C, Amarasinghe SL, Zhang B et al. · Nature communications 2024 · PMID 38580631 · doi:10.1038/s41467-024-47311-7
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 GSE235779_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: 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 PRJNA987611 and SRA study SRP445978. Searching any of these in the dataset finder brings you back here.

Study design
68 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 68 sample titles: 68 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.

Samples in this study

+ 28 more — browse all 68 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.