ArticleAmerican journal of physiology. Cell physiology2010
Limitations of conventional approaches to identify myocyte nuclei in histologic sections of the heart.
Article in American journal of physiology. Cell physiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 59 citations in OpenAlex.
- Mechanisms and Therapeutic Potential of Human Cardiomyocyte Proliferation.Journal of cardiovascular development and disease · 2026Review
- Intronic RNAscope probes enable precise identification of cardiomyocyte nuclei and cell cycle activity.Communications biology · 2025Article
- Genetic tracing and topography of spontaneous and stimulated cardiac regeneration in mice.Nature cardiovascular research · 2025Article
- A broadly applicable method for quantifying cardiomyocyte cell division identifies proliferative events following myocardial infarction.Cell reports methods · 2024Article
- From vitality to vulnerability: the impact of oxygen on cardiac function and regeneration.The journal of cardiovascular aging · 2024Article
- Musings on intrinsic cardiomyocyte cell cycle activity and myocardial regeneration.Journal of molecular and cellular cardiology · 2023Review
- Adapting to a new environment: postnatal maturation of the human cardiomyocyte.The Journal of physiology · 2023Review
- Cardiac Troponin I-Interacting Kinase Affects Cardiomyocyte S-Phase Activity but Not Cardiomyocyte Proliferation.Circulation · 2023Article
- Measuring cardiomyocyte cell-cycle activity and proliferation in the age of heart regeneration.American journal of physiology. Heart and circulatory physiology · 2022Review
- FUCCI-Based Live Imaging Platform Reveals Cell Cycle Dynamics and Identifies Pro-proliferative Compounds in Human iPSC-Derived Cardiomyocytes.Frontiers in cardiovascular medicine · 2022Article
- Cardioprotection vs. regeneration: the case of extracellular vesicle-derived microRNAs.Basic research in cardiology · 2021Article
- Isolation of Cardiomyocytes from Fixed Hearts for Immunocytochemistry and Ploidy Analysis.Journal of visualized experiments : JoVE · 2020Article
- Deep Learning Identifies Cardiomyocyte Nuclei With High Precision.Circulation research · 2020Article
- Reptiles as a Model System to Study Heart Development.Cold Spring Harbor perspectives in biology · 2020Review
- Review
- A Matched-Filter-Based Algorithm for Subcellular Classification of T-System in Cardiac Tissues.Biophysical journal · 2019Article
- Visualization of Cell Cycle Variations and Determination of Nucleation in Postnatal Cardiomyocytes.Journal of visualized experiments : JoVE · 2017Article
- CITED4 induces physiologic hypertrophy and promotes functional recovery after ischemic injury.JCI insight · 2016Article
- Simultaneous Assessment of Cardiomyocyte DNA Synthesis and Ploidy: A Method to Assist Quantification of Cardiomyocyte Regeneration and Turnover.Journal of visualized experiments : JoVE · 2016Article
- A specified therapeutic window for neuregulin-1 to regenerate neonatal heart muscle.Annals of translational medicine · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Accurate nuclear identification is crucial for distinguishing the role of cardiac myocytes in intrinsic and experimentally induced regenerative growth of the myocardium. Conventional histologic analysis of myocyte nuclei relies on the optical sectioning capabilities of confocal microscopy in conjunction with immunofluorescent labeling of cytoplasmic proteins such as troponin T, and dyes that bind to double-strand DNA to identify nuclei. Using heart sections from transgenic mice in which the cardiomyocyte-restricted alpha-cardiac myosin heavy chain promoter targeted the expression of nuclear localized beta-galactosidase reporter in >99% of myocytes, we systematically compared the fidelity of conventional myocyte nuclear identification using confocal microscopy, with and without the aid of a membrane marker. The values obtained with these assays were then compared with those obtained with anti-beta-galactosidase immune reactivity in the same samples. In addition, we also studied the accuracy of anti-GATA4 immunoreactivity for myocyte nuclear identification. Our results demonstrate that, although these strategies are capable of identifying myocyte nuclei, the level of interobserver agreement and margin of error can compromise accurate identification of rare events, such as cardiomyocyte apoptosis and proliferation. Thus these data indicate that morphometric approaches based on segmentation are justified only if the margin of error for measuring the event in question has been predetermined and deemed to be small and uniform. We also illustrate the value of a transgene-based approach to overcome these intrinsic limitations of identifying myocyte nuclei. This latter approach should prove quite useful when measuring rare events.
Indexed as
Identifiers
What OpenQuestion holds
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.