Evidence map›Paper›PMID 30504768›Full record

ArticleNature communications2018

Subcellular connectomic analyses of energy networks in striated muscle.

Christopher K E Bleck, Yuho Kim, T Bradley Willingham, Brian Glancy

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 citing papers in PubMed.

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  8. Cardiac myofibril networks induce shear stress.NPJ systems biology and applications · 2026
    Article
  9. Multiscale mitochondrial cristae remodeling links Opa1 downregulation to reduced OXPHOS capacity in aged hearts.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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32 more citing papers are in PubMed but not listed here.

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

4 authors.

Christopher K E BleckNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, United States.
Yuho KimNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, United States.
T Bradley WillinghamNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, United States.
Brian GlancyNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, United States. brian.glancy@nih.gov.ORCID http://orcid.org/0000-0002-8571-244X

Funding

Development and Regulation of the Muscle Mitochondrial ReticulumZIAHL006221 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI GLANCY, BRIAN · 2017 to 2025
$14.7M
Electron Microscopy CoreZICHL005906 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI SYED, ZULFEQHAR · 2009 to 2025
$12.9M
6 · The paper itself

Abstract

Mapping biological circuit connectivity has revolutionized our understanding of structure-function relationships. Although connectomic analyses have primarily focused on neural systems, electrical connectivity within muscle mitochondrial networks was recently demonstrated to provide a rapid mechanism for cellular energy distribution. However, tools to evaluate organelle connectivity with high spatial fidelity within single cells are currently lacking. Here, we developed a framework to quantitatively assess mitochondrial network connectivity and interactions with cellular sites of energy storage, utilization, and calcium cycling in cardiac, oxidative, and glycolytic muscle. We demonstrate that mitochondrial network configuration, individual mitochondrial size and shape, and the junctions connecting mitochondria within each network are consistent with the differing contraction demands of each muscle type. Moreover, mitochondria-lipid droplet interaction analyses suggest that individual mitochondria within networks may play specialized roles regarding energy distribution and calcium cycling within the cell and reveal the power of connectomic analyses of organelle interactions within single cells.

Indexed as

AnimalsCalciumConnectomeEnergy MetabolismMaleMiceMice, Inbred C57BLMitochondriaMuscle, SkeletalMuscle, StriatedCalcium

Identifiers

PMID30504768
PMCPMC6269443

What OpenQuestion holds

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LicenceCC BY
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.