Evidence map›Paper›PMID 26688338›Full record

ArticleMitochondrion2016

Fully automated software for quantitative measurements of mitochondrial morphology.

P Mason McClatchey, Amy C Keller, Ron Bouchard, Leslie A Knaub, Jane E B Reusch

Abstract read
In one paragraph

Article in Mitochondrion, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Mitochondria in smooth muscle cells of viscera.Journal of smooth muscle research = Nihon Heikatsukin Gakkai kikanshi
    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

5 authors.

P Mason McClatcheyDivision of Endocrinology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Medicine, Denver VA Medical Center, Denver, CO, USA; Department of Bioengineering, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Amy C KellerDivision of Endocrinology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Medicine, Denver VA Medical Center, Denver, CO, USA.
Ron BouchardDepartment of Medicine, Denver VA Medical Center, Denver, CO, USA.
Leslie A KnaubDivision of Endocrinology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Medicine, Denver VA Medical Center, Denver, CO, USA.
Jane E B ReuschDivision of Endocrinology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Medicine, Denver VA Medical Center, Denver, CO, USA; Department of Bioengineering, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Center for Women's Health Research, University of Colorado School of Medicine, Aurora, CO, USA. Electronic address: jane.reusch@ucdenver.edu.

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025780 · NCRR · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2008 to 2011
$61.3M
VRAC and Rho in pulmonary EC proliferationP01HL014985 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI STENMARK, KURT R. · 1985 to 2019
$35.1M
PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Wendy M Kohrt · 1995 to 2026
$32.6M
Colorado Clinical and Translational Science Institute (UL1)UL1TR000154 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2012 to 2013
$20.4M
Translational Pulmonary Vascular Biology ProgramT32HL007171 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Sonia Castro Flores, Tim Lahm · 1985 to 2026
$9.4M
Cardiovascular Biomechanics and Imaging in Down SyndromeT32HL072738 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI SHANDAS, ROBIN · 2003 to 2025
$4.9M
Cardiovascular Mechanisms of Exercise Intolerance in Diabetes and the Role of SexI01CX001532 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI REUSCH, JANE E · 2017 to 2022
–
Targeting Microvascular Contributors to Impaired Functional Exercise Capacity in DiabetesI01BX002046 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI REUSCH, JANE E · 2014 to 2024
–
BLRD VA I01 BX002046CSRD VA I01 CX001532NCATS NIH HHS UL1 TR000154NCI NIH HHS P30 CA046934NCI NIH HHS P30CA046934NCRR NIH HHS CCTSI-UL1RR025780NCRR NIH HHS UL1 RR025780NHLBI NIH HHS NIH-5P01HL014985NHLBI NIH HHS NIH-5T32HL007171NHLBI NIH HHS P01 HL014985NHLBI NIH HHS T32 HL072738
6 · The paper itself

Abstract

Mitochondria undergo dynamic changes in morphology in order to adapt to changes in nutrient and oxygen availability, communicate with the nucleus, and modulate intracellular calcium dynamics. Many recent papers have been published assessing mitochondrial morphology endpoints. Although these studies have yielded valuable insights, contemporary assessment of mitochondrial morphology is typically subjective and qualitative, precluding direct comparison of outcomes between different studies and likely missing many subtle effects. In this paper, we describe a novel software technique for measuring the average length, average width, spatial density, and intracellular localization of mitochondria from a fluorescent microscope image. This method was applied to distinguish baseline characteristics of Human Umbilical Vein Endothelial Cells (HUVECs), primary Goto-Kakizaki rat aortic smooth muscle cells (GK SMCs), primary Wistar rat aortic smooth muscle cells (Wistar SMCs), and SH-SY5Ys (human neuroblastoma cell line). Consistent with direct observation, our algorithms found SH-SY5Ys to have the greatest mitochondrial density, while HUVECs were found to have the longest mitochondria. Mitochondrial morphology responses to temperature, nutrient, and oxidative stressors were characterized to test algorithm performance. Large morphology changes recorded by the software agreed with direct observation, and subtle but consistent morphology changes were found that would not otherwise have been detected. Endpoints were consistent between experimental repetitions (R=0.93 for length, R=0.93 for width, R=0.89 for spatial density, and R=0.74 for localization), and maintained reasonable agreement even when compared to images taken with compromised microscope resolution or in an alternate imaging plane. These results indicate that the automated software described herein allows quantitative and objective characterization of mitochondrial morphology from fluorescent microscope images.

Indexed as

Mitochondria, MuscleSoftwareAnimalsAortaHumansHuman Umbilical Vein Endothelial CellsImage Processing, Computer-AssistedMicroscopy, FluorescenceMuscle, Smooth, VascularRatsImage processingMicroscopyMitochondriaMorphology

Identifiers

PMID26688338
PMCPMC5891219

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Registered trials

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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.