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Myocardial Fibroblasts are a Primary Source High Molecular Weight Hyaluronan Production in the Failing Heart

GSE284092 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2026/01/30 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 5 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.
Summary (written by the submitters)
Background: The extracellular matrix provides organizational context for solid organs. During disease, such as acute myocardial infarction, the composition of the extracellular matrix changes remarkably. One of the most notable changes in the extracellular matrix is in the accumulation of collagen; however, hyaluronan rivals collagen in terms of its abundance.
Read the full summary ↓
Yet, the extent to which specific cells and enzymes may contribute to such accumulation has been largely unexplored. Here, we hypothesized that activated cardiac fibroblasts produce hyaluronan via hyaluronan synthase 2 (HAS2). Methods and Results: Using immunofluorescence, biochemical extraction, and ELISA, we show that hyaluronan accumulates following myocardial infarction and persists through at least four weeks. Our analyses of failing heart RNA sequencing data suggest fibroblasts are the cells most changed in expression of HAS2. Given these insights, we used HAS2 gain- and loss-of-function approaches to examine the extent to which activated cardiac fibroblasts produced hyaluronan. TGF-induced activation of fibroblasts caused a significant increase in Has2 mRNA and concomitant accumulation of hyaluronan greater than 1 MDa in size. Deletion of Has2 abrogated TGF-induced production of hyaluronan. In addition, overexpression of Has2 was sufficient to cause an increase in hyaluronan accumulation in the absence of TGF-induced activation. Given the magnitude of hyaluronan production, and that hyaluronan has been reported to have biologic activity, we then queried whether the primary functions of fibroblasts (proliferation, migration, and collagen production) were impacted by hyaluronan treatment. Our data indicated negligible impacts of Has2 on proliferation, migration, and collagen production. Exposing fibroblasts to exogenous hyaluronan also had minimal impact on fibroblasts. We also assessed whether fibroblast-borne Hyal2 plays a role in degradation of hyaluronan, and our data indicated little impact of Hyal2 on hyaluronan accumulation (or even any impacts on the transcriptional profile of fibroblasts). Conclusion: Activated fibroblasts produce high molecular weight hyaluronan, and the production of hyaluronan depends on Has2. The robust production of hyaluronan by fibroblasts does not appear to impact fibroblast function.
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 GSE284092_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 PRJNA1196984 and SRA study SRP550929. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly with about 4 replicates each
Control ×4 Hyal2 Exon 2 knock out ×4 Hyal2 Overexpression ×4 Control + TGFB ×4 Hyal2 Exon 2 knock out + TGFB ×4

Supports a case/control comparison: 4 samples read as cases, 8 as controls.

How we read this: 5 replicated groups read from 20 sample titles; they account for 20 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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