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Updated: Mar 31, 2026
Isolation and Characterization of Adult Cardiac Fibroblasts and Myofibroblasts
Published on: March 12, 2020
Microarray profiling to analyse adult cardiac fibroblast identity
Milena B Furtado1, Hieu T Nim2, Jodee A Gould3
1Australian Regenerative Medicine Institute, Monash University, VIC 3800, Australia.
Insights
Cardiac fibroblasts possess unique molecular signatures, suggesting their potential for regenerative medicine. This study details their gene expression profiling and analysis, offering insights into heart failure therapies.
Area of Science:
- Cardiovascular Biology
- Regenerative Medicine
- Cell Biology
Background:
- Heart failure is a leading global cause of death with limited therapeutic options.
- Fibrosis, driven by fibroblast activity, is a key pathological feature of heart failure.
- Cardiac fibroblasts have been historically underestimated but play active roles in tissue homeostasis and disease.
Purpose of the Study:
- To investigate the molecular identity of cardiac fibroblasts.
- To explore the potential of cardiac fibroblasts in stem cell replacement therapies.
- To provide reproducible methods for cardiac fibroblast gene expression analysis.
Main Methods:
- Gene expression profiling of cardiac fibroblasts.
- Analysis of cell surface markers.
- Data deposition in Gene Expression Omnibus (GEO) under accession number GSE50531.
- Provision of R code for data analysis.
Main Results:
- Cardiac fibroblasts exhibit a unique molecular identity with cardiogenic transcription factors.
- Approximately 90% of cardiac and tail fibroblasts share cell surface markers with mesenchymal stem cells (MSCs).
- Findings suggest cardiac fibroblasts may be suitable for stem cell replacement therapies.
Conclusions:
- Cardiac fibroblasts have a distinct molecular profile with implications for regenerative medicine.
- The shared MSC-like signature suggests a potential identity link between fibroblasts and MSCs.
- This research provides a foundation for developing novel heart failure treatments using cardiac fibroblasts.
Abstract:
Heart failure is one of the leading causes of death worldwide [1-4]. Current therapeutic strategies are inefficient and cannot cure this chronic and debilitating condition [5]. Ultimately, heart transplants are required for patient survival, but donor organs are scarce in availability and only prolong the life-span of patients for a limited time. Fibrosis is one of the main pathological features of heart failure [6,7], caused by inappropriate stimulation of fibroblasts and excessive extracellular matrix production. Therefore, an in-depth understanding of the cardiac fibroblast is essential to underpin effective therapeutic treatments for heart failure [5]. Fibroblasts in general have been an underappreciated cell type, regarded as relatively inert and providing only basic functionality; they are usually referred to as the 'biological glue' of all tissues in the body. However, more recent literature suggests that they actively participate in organ homeostasis and disease [7,8]. We have recently uncovered a unique molecular identity for fibroblasts isolated from the heart [9], expressing a set of cardiogenic transcription factors that have been previously associated with cardiomyocyte ontogenesis. This signature suggests that cardiac fibroblasts may be ideal for use in stem cell replacement therapies, as they may retain the memory of where they derive from embryologically. Our data also revealed that about 90% of fibroblasts from both tail and heart origins share a cell surface signature that has previously been described for mesenchymal stem cells (MSCs), raising the possibility that fibroblasts and MSCs may in fact be the same cell type. Thus, our findings carry profound implications for the field of regenerative medicine. Here, we describe detailed methodology and quality controls related to the gene expression profiling of cardiac fibroblasts, deposited at the Gene Expression Omnibus (GEO) under the accession number GSE50531. We also provide the R code to easily reproduce the data quantification and analysis processes.
