↓ Skip to main content

Cardiac mitochondria exhibit dynamic functional clustering

Overview of attention for article published in Frontiers in Physiology, September 2014
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Cardiac mitochondria exhibit dynamic functional clustering
Published in
Frontiers in Physiology, September 2014
DOI 10.3389/fphys.2014.00329
Pubmed ID
Authors

Felix T. Kurz, Miguel A. Aon, Brian O'Rourke, Antonis A. Armoundas

Abstract

Multi-oscillatory behavior of mitochondrial inner membrane potential ΔΨ m in self-organized cardiac mitochondrial networks can be triggered by metabolic or oxidative stress. Spatio-temporal analyses of cardiac mitochondrial networks have shown that mitochondria are heterogeneously organized in synchronously oscillating clusters in which the mean cluster frequency and size are inversely correlated, thus suggesting a modulation of cluster frequency through local inter-mitochondrial coupling. In this study, we propose a method to examine the mitochondrial network's topology through quantification of its dynamic local clustering coefficients. Individual mitochondrial ΔΨ m oscillation signals were identified for each cardiac myocyte and cross-correlated with all network mitochondria using previously described methods (Kurz et al., 2010a). Time-varying inter-mitochondrial connectivity, defined for mitochondria in the whole network whose signals are at least 90% correlated at any given time point, allowed considering functional local clustering coefficients. It is shown that mitochondrial clustering in isolated cardiac myocytes changes dynamically and is significantly higher than for random mitochondrial networks that are constructed using the Erdös-Rényi model based on the same sets of vertices. The network's time-averaged clustering coefficient for cardiac myocytes was found to be 0.500 ± 0.051 (N = 9) vs. 0.061 ± 0.020 for random networks, respectively. Our results demonstrate that cardiac mitochondria constitute a network with dynamically connected constituents whose topological organization is prone to clustering. Cluster partitioning in networks of coupled oscillators has been observed in scale-free and chaotic systems and is therefore in good agreement with previous models of cardiac mitochondrial networks.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 35%
Unspecified 5 22%
Student > Ph. D. Student 5 22%
Student > Bachelor 2 9%
Student > Master 1 4%
Other 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 39%
Unspecified 5 22%
Medicine and Dentistry 3 13%
Neuroscience 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Other 2 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 September 2014.
All research outputs
#11,060,230
of 12,441,812 outputs
Outputs from Frontiers in Physiology
#3,477
of 5,170 outputs
Outputs of similar age
#166,075
of 202,870 outputs
Outputs of similar age from Frontiers in Physiology
#84
of 128 outputs
Altmetric has tracked 12,441,812 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,170 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 202,870 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.