Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 13, 2026

Developing 3D Organized Human Cardiac Tissue within a Microfluidic Platform
10:42

Developing 3D Organized Human Cardiac Tissue within a Microfluidic Platform

Published on: June 15, 2021

Hierarchical approaches for systems modeling in cardiac development.

Russell A Gould1, Lina M Aboulmouna, Jeffrey D Varner

  • 1Department of Biomedical Engineering, Cornell University, Ithaca, NY, USA.

Wiley Interdisciplinary Reviews. Systems Biology and Medicine
|March 7, 2013
PubMed
Summary

Systems modeling offers a crucial approach to understanding complex cardiac development. This method integrates molecular and physiological data across scales, revealing intricate relationships essential for heart formation and function.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hypoxia-mediated epicardial signaling coordinates coronary angiogenesis and myocardial expansion during zebrafish ventricle maturation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Active endothelial and neural regulation of valve biology, health, and disease.

Frontiers in cardiovascular medicine·2026
Same author

Architectural fragility of gene regulatory networks underlies hematopoietic stem cell aging.

bioRxiv : the preprint server for biology·2026
Same author

Kinemomics: spatiotemporal morphodynamic mapping of ventricular kinematic subpopulations in organotypic fetal heart slices.

bioRxiv : the preprint server for biology·2026
Same author

ParetoEnsembles.jl: A Julia Package for Multiobjective Parameter Estimation Using Pareto Optimal Ensemble Techniques.

ArXiv·2026
Same author

BSTModelKit.jl: A Julia Package for Constructing, Solving, and Analyzing Biochemical Systems Theory Models.

ArXiv·2026

Area of Science:

  • Developmental Biology
  • Cardiovascular Research
  • Systems Biology

Background:

  • Cardiac morphogenesis is vital for vertebrate life, involving complex growth and functional development from a simple tube to a multichambered organ.
  • Existing research relies on reductionist analyses, often overlooking the interconnectedness of molecular pathways, cellular microenvironments, and organ-level function.
  • Understanding these interactions is critical due to feedback mechanisms and scale-dependent effects in cardiac development.

Purpose of the Study:

  • To review and compare experimental and computational approaches for systems modeling of cardiac development.
  • To highlight the importance of a systems-level perspective in understanding the multi-scale functional relationships in heart formation.
  • To discuss current advancements and future directions in cardiac systems modeling.

More Related Videos

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

Related Experiment Videos

Last Updated: May 13, 2026

Developing 3D Organized Human Cardiac Tissue within a Microfluidic Platform
10:42

Developing 3D Organized Human Cardiac Tissue within a Microfluidic Platform

Published on: June 15, 2021

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

Main Methods:

  • Review of in vivo and in vitro experimental methodologies relevant to cardiac development.
  • Comparison of various computational frameworks for building systems models.
  • Synthesis of recent findings in systems modeling applied to cardiac development.

Main Results:

  • Systems modeling provides a framework to integrate diverse data types (molecular, cellular, tissue, organ).
  • It helps elucidate complex feedback loops and emergent properties in cardiac morphogenesis.
  • This approach is essential for bridging the gap between molecular mechanisms and physiological function.

Conclusions:

  • A systems-level approach is indispensable for a comprehensive understanding of cardiac development.
  • Integrating experimental data with computational modeling accelerates knowledge generation.
  • Future research should focus on refining systems models and validating their predictions across scales.