Evidence map›Paper›PMID 29733314›Full record

ArticleJournal of visualized experiments : JoVE2018

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology.

Vijay Rajagopal, Gregory Bass, Shouryadipta Ghosh, Hilary Hunt, Cameron Walker, Eric Hanssen, Edmund Crampin, Christian Soeller

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Computational Modeling and Imaging of the Intracellular Oxygen Gradient.International journal of molecular sciences · 2022
    Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 4 countries.

Vijay RajagopalCell Structure and Mechanobiology Group, University of Melbourne; Systems Biology Laboratory, Melbourne School of Engineering, University of Melbourne; Department of Biomedical Engineering, University of Melbourne; vijay.rajagopal@unimelb.edu.au.
Gregory BassSystems Biology Laboratory, Melbourne School of Engineering, University of Melbourne; Department of Biomedical Engineering, University of Melbourne.
Shouryadipta GhoshCell Structure and Mechanobiology Group, University of Melbourne; Systems Biology Laboratory, Melbourne School of Engineering, University of Melbourne; Department of Biomedical Engineering, University of Melbourne.
Hilary HuntSystems Biology Laboratory, Melbourne School of Engineering, University of Melbourne; School of Mathematics and Statistics, Faculty of Science, University of Melbourne.
Cameron WalkerDepartment of Engineering Science, University of Auckland.
Eric HanssenAdvanced Microscopy Facility, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne.
Edmund CrampinSystems Biology Laboratory, Melbourne School of Engineering, University of Melbourne; Department of Biomedical Engineering, University of Melbourne; School of Mathematics and Statistics, Faculty of Science, University of Melbourne; ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, University of Melbourne; School of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne.
Christian SoellerLiving Systems Institute, University of Exeter.
University of Melbourne · AUBiotechnology Institute · USRMIT University · AUUniversity of Auckland · NZUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of three-dimensional (3D) imaging technologies such as electron tomography, serial-block-face scanning electron microscopy and confocal microscopy, the scientific community has unprecedented access to large datasets at sub-micrometer resolution that characterize the architectural remodeling that accompanies changes in cardiomyocyte function in health and disease. However, these datasets have been under-utilized for investigating the role of cellular architecture remodeling in cardiomyocyte function. The purpose of this protocol is to outline how to create an accurate finite element model of a cardiomyocyte using high resolution electron microscopy and confocal microscopy images. A detailed and accurate model of cellular architecture has significant potential to provide new insights into cardiomyocyte biology, more than experiments alone can garner. The power of this method lies in its ability to computationally fuse information from two disparate imaging modalities of cardiomyocyte ultrastructure to develop one unified and detailed model of the cardiomyocyte. This protocol outlines steps to integrate electron tomography and confocal microscopy images of adult male Wistar (name for a specific breed of albino rat) rat cardiomyocytes to develop a half-sarcomere finite element model of the cardiomyocyte. The procedure generates a 3D finite element model that contains an accurate, high-resolution depiction (on the order of ~35 nm) of the distribution of mitochondria, myofibrils and ryanodine receptor clusters that release the necessary calcium for cardiomyocyte contraction from the sarcoplasmic reticular network (SR) into the myofibril and cytosolic compartment. The model generated here as an illustration does not incorporate details of the transverse-tubule architecture or the sarcoplasmic reticular network and is therefore a minimal model of the cardiomyocyte. Nevertheless, the model can already be applied in simulation-based investigations into the role of cell structure in calcium signaling and mitochondrial bioenergetics, which is illustrated and discussed using two case studies that are presented following the detailed protocol.

Indexed as

Models, CardiovascularAnimalsCalcium SignalingFinite Element AnalysisMaleMyocytes, CardiacRatsRats, WistarSystems Biology

Identifiers

PMID29733314
PMCPMC6100652
OpenAlexW2803077487

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.