ArticleCellular and molecular life sciences : CMLS2022
Monitoring the maturation of the sarcomere network: a super-resolution microscopy-based approach.
Article in Cellular and molecular life sciences : CMLS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Using human induced pluripotent stem cell-derived cardiomyocytes to understand the mechanisms driving cardiomyocyte maturation.Frontiers in cardiovascular medicine · 2022Pooled it
- Article
- Optical theranostics in ischemic heart disease: from molecular insights to clinical translation.Theranostics · 2025Review
- Novel, low-cost bioreactor forFrontiers in bioengineering and biotechnology · 2025Article
- A transcriptional enhancer regulates cardiac maturation.Nature cardiovascular research · 2024Article
- The use of artificial intelligence in induced pluripotent stem cell-based technology over 10-year period: A systematic scoping review.PloS one · 2024Article
- Multicellular 3D models to study myocardial ischemia-reperfusion injury.Frontiers in cell and developmental biology · 2024Review
- Sarcomeric network analysis of ex vivo cultivated human atrial appendage tissue using super-resolution microscopy.Scientific reports · 2023Article
- Small molecule-mediated rapid maturation of human induced pluripotent stem cell-derived cardiomyocytes.Stem cell research & therapy · 2022Article
- Bioengineering Strategies to Create 3D Cardiac Constructs from Human Induced Pluripotent Stem Cells.Bioengineering (Basel, Switzerland) · 2022Review
- Asymmetric biphasic electric stimulation supports cardiac maturation and functionality.Journal of tissue engineeringArticle
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 2 countries.
Funding
Abstract
The in vitro generation of human cardiomyocytes derived from induced pluripotent stem cells (iPSC) is of great importance for cardiac disease modeling, drug-testing applications and for regenerative medicine. Despite the development of various cultivation strategies, a sufficiently high degree of maturation is still a decisive limiting factor for the successful application of these cardiac cells. The maturation process includes, among others, the proper formation of sarcomere structures, mediating the contraction of cardiomyocytes. To precisely monitor the maturation of the contractile machinery, we have established an imaging-based strategy that allows quantitative evaluation of important parameters, defining the quality of the sarcomere network. iPSC-derived cardiomyocytes were subjected to different culture conditions to improve sarcomere formation, including prolonged cultivation time and micro patterned surfaces. Fluorescent images of α-actinin were acquired using super-resolution microscopy. Subsequently, we determined cell morphology, sarcomere density, filament alignment, z-Disc thickness and sarcomere length of iPSC-derived cardiomyocytes. Cells from adult and neonatal heart tissue served as control. Our image analysis revealed a profound effect on sarcomere content and filament orientation when iPSC-derived cardiomyocytes were cultured on structured, line-shaped surfaces. Similarly, prolonged cultivation time had a beneficial effect on the structural maturation, leading to a more adult-like phenotype. Automatic evaluation of the sarcomere filaments by machine learning validated our data. Moreover, we successfully transferred this approach to skeletal muscle cells, showing an improved sarcomere formation cells over different differentiation periods. Overall, our image-based workflow can be used as a straight-forward tool to quantitatively estimate the structural maturation of contractile cells. As such, it can support the establishment of novel differentiation protocols to enhance sarcomere formation and maturity.
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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.