ArticleScientific reports2022
A strategy to quantify myofibroblast activation on a continuous spectrum.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 31 citations in OpenAlex.
- S100A4 Orchestrates Fibroblast Fate to Drive Fibrotic Remodeling.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Cell migration inducing protein alleviates adverse cardiac remodelling after ischaemia and reperfusion injury by controlling fibroblast activation.Cardiovascular research · 2026Article
- Aligned Fibronectin Microenvironment Temporally Facilitates Profibrotic Fibroblast Activation via Integrin α5β1.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- S100A4-TLR4-TGF-β axis as a therapeutic target for Dupuytren's contracture in diabetic patients.Cell death discovery · 2026Article
- Human ISG15 deficiency unveils impaired healing of ulcerations via type I interferon-mediated fibrosis.Journal of human immunity · 2026Article
- Targeted muscle reinnervation attenuates neuropathic pain and neuroma development in a rat model of tibial nerve transection.Frontiers in bioengineering and biotechnology · 2026Article
- Developing a protocol to counteract spontaneous in vitro activation of intestinal fibroblasts using design of experiments.npj biomedical innovations · 2026Article
- Myocardial composition and contractile function of right atrial trabeculae from type 2 diabetic and nondiabetic male patients.Physiological reports · 2025Article
- The mechanobiology of fibroblast activation in disease.APL bioengineering · 2025Review
- Automated prediction of fibroblast phenotypes using mathematical descriptors of cellular features.Nature communications · 2025Article
- Multiparametric physicochemical analysis of a type 1 collagen 3D cell culture model using light and electron microscopy and mass spectrometry imaging.Scientific reports · 2025Article
- Tension-sensitive HOX gene expression in fibroblasts for differential scar formation.Journal of translational medicine · 2025Article
- Repurposing of the small-molecule adrenoreceptor-inhibitor carvedilol for treatment of the fibrotic lung.Frontiers in pharmacology · 2025Article
- Unsupervised inter-domain transformation for virtually stained high-resolution mid-infrared photoacoustic microscopy using explainable deep learning.Nature communications · 2024Article
- Integration mapping of cardiac fibroblast single-cell transcriptomes elucidates cellular principles of fibrosis in diverse pathologies.Science advances · 2024Article
- Dynamic reporters for probing real-time activation of human fibroblasts from single cells to populations.APL bioengineering · 2024Article
- Age-Dependent RGS5 Loss in Pericytes Induces Cardiac Dysfunction and Fibrosis.Circulation research · 2024Article
- The local mechanosensitive response of primary cardiac fibroblasts is influenced by the microenvironment mechanics.Scientific reports · 2024Article
- Energy level as a theranostic factor for successful therapy of tissue injuries with polyphosphate: the triad metabolic energy - mechanical energy - heat.Theranostics · 2024Article
- An introduction to representation learning for single-cell data analysis.Cell reports methods · 2023Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Myofibroblasts are a highly secretory and contractile cell phenotype that are predominant in wound healing and fibrotic disease. Traditionally, myofibroblasts are identified by the de novo expression and assembly of alpha-smooth muscle actin stress fibers, leading to a binary classification: "activated" or "quiescent (non-activated)". More recently, however, myofibroblast activation has been considered on a continuous spectrum, but there is no established method to quantify the position of a cell on this spectrum. To this end, we developed a strategy based on microscopy imaging and machine learning methods to quantify myofibroblast activation in vitro on a continuous scale. We first measured morphological features of over 1000 individual cardiac fibroblasts and found that these features provide sufficient information to predict activation state. We next used dimensionality reduction techniques and self-supervised machine learning to create a continuous scale of activation based on features extracted from microscopy images. Lastly, we compared our findings for mechanically activated cardiac fibroblasts to a distribution of cell phenotypes generated from transcriptomic data using single-cell RNA sequencing. Altogether, these results demonstrate a continuous spectrum of myofibroblast activation and provide an imaging-based strategy to quantify the position of a cell on that spectrum.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.