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Functional Genomics of Human Skeletal Development and the Patterning of Height Heritability [RNA-Seq]

GSE252288 Homo sapiens (human) RNA-seq (gene expression) 69 samples Submitted 2024/11/15 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 69 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
Homo sapiens (human)
Samples
69 samples
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
Functional genomics of human skeletal development and the patterning of height heritabilityCell · 2025
Summary (written by the submitters)
High-resolution profiling of epigenetic/transcriptomic behaviours of chondrocytes during skeletal development suggest the importance of generalized growth to adult height patterning
Published in
Functional genomics of human skeletal development and the patterning of height heritability
Richard D, Muthuirulan P, Young M et al. · Cell 2025 · PMID 39549696 · doi:10.1016/j.cell.2024.10.040
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 GSE252288_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 PRJNA1059262 and SRA study SRP480732. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 69 more — browse all 69 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.