Evidence map›Paper›PMID 28510074›Full record

ReviewBiophysical reviews2012

Contractility assessment in enzymatically isolated cardiomyocytes.

Carlos Bazan, David Torres Barba, Trevor Hawkins, Hung Nguyen, Samantha Anderson, Esteban Vazquez-Hidalgo, Rosa Lemus, J'Terrell Moore, Jeremy Mitchell, Johanna Martinez and 3 more

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2012. 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
–field-weighted citation impact
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.

  1. Review
  2. Review
  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

13 authors.

Carlos BazanComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA. carlos.bazan@sdsu.edu.
David Torres BarbaComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA.
Trevor HawkinsComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA.
Hung NguyenComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA.
Samantha AndersonComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA.
Esteban Vazquez-HidalgoComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA.
Rosa LemusComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA.
J'Terrell MooreComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA.
Jeremy MitchellComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA.
Johanna MartinezComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA.
Delnita MooreComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA.
Jessica LarsenComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA.
Paul PaoliniComputational Science Research Center Rees-Stealy Research Foundation Laboratory, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-1245, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of enzymatically isolated cardiac myocytes is ubiquitous in modern cardiovascular research. Parallels established between cardiomyocyte shortening responses and those of intact tissue make the cardiomyocyte an invaluable experimental model of cardiac function. Much of our understanding regarding the fundamental processes underlying heart function is owed to our increasing capabilities in single-cell stimulation and direct or indirect observation, as well as quantitative analysis of such cells. Of the many important mechanisms and functions that can be readily assessed in cardiomyocytes at all stages of development, contractility is the most representative and one of the most revealing. The purpose of this review is to provide a survey of various methodological approaches in the literature used to assess adult and neonatal cardiomyocyte contractility. The various methods employed to evaluate the contractile behavior of enzymatically isolated mammalian cardiac myocytes can be conveniently divided into two general categories-those employing optical (image)-based systems and those that use transducer-based technologies. This survey is by no means complete, but we have made an effort to include the most popular methods in terms of reliability and accessibility. These techniques are in constant evolution and hold great promise for the next generation of breakthrough studies in cell biology for the prevention, treatment, and cure of cardiovascular diseases.

Indexed as

Cardiac myocyteCardiomyocyteCardiovascular researchContractilityHeart contractionSarcomere length

Identifiers

PMID28510074
PMCPMC5425706

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.