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Bulk RNA-seq detects cMPC HO signature in hip arthroplasty patients

GSE316836 Homo sapiens (human) RNA-seq (gene expression) 22 samples Submitted 2026/01/18 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 22 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
22 samples: 12 × HOneg_Patient vs 10 × HOpos_PatientGroups 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
Early detection of aberrant cell fate and repair using circulating progenitor cells in patients with heterotopic ossificationNature communications · 2026
Summary (written by the submitters)
Heterotopic ossification (HO), the aberrant bone in soft tissues, is one of the most debilitating complications associated with severe burn and traumatic injuries as well as joint replacement surgeries due to its insidious development. Currently, no technologies exist to either support early HO detection or to guide early prophylactic strategies.
Read the full summary ↓
Furthermore, no technologies exist to assess treatment efficacy. In this study, we used microfluidic iChip, designed to isolate circulating rare non-hematopoietic cells from whole blood, to isolate and analyze circulating mesenchymal progenitor cells (cMPCs) released in patients that underwent hip artroplasty. RNA sequencing of cMPCs revealed the unique expression of HO-associated MPC genes observed post operation day 1, weeks earlier than gold standard radiographic diagnostic strategies.
Published in
Early detection of aberrant cell fate and repair using circulating progenitor cells in patients with heterotopic ossification
Nunez J, Holtz M, Korlakunta S et al. · Nature communications 2026 · PMID 41620424 · doi:10.1038/s41467-026-68857-8
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 GSE316836_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 PRJNA1404336 and SRA study SRP663913. Searching any of these in the dataset finder brings you back here.

Study design
12 × HOneg_Patient vs 10 × HOpos_Patient

Supports a between-group comparison across 22 samples.

How we read this: 2 replicated groups read from 22 sample titles; they account for 22 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
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