Evidence map›Paper›PMID 34469204›Full record

ArticleAmerican journal of physiology. Cell physiology2021

MitoCellPhe reveals mitochondrial morphologies in single fibroblasts and clustered stem cells.

Ajibola B Bakare, Fibi Meshrkey, Benjamin Lowe, Carson Molder, Raj R Rao, Justin Zhan, Shilpa Iyer

Abstract read
In one paragraph

Article in American journal of physiology. Cell physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. 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

7 authors.

Ajibola B BakareDepartment of Biological Sciences, J. William Fulbright College of Arts and Sciences, University of Arkansas, Fayetteville, Arkansas.
Fibi MeshrkeyDepartment of Biological Sciences, J. William Fulbright College of Arts and Sciences, University of Arkansas, Fayetteville, Arkansas.
Benjamin LoweDepartment of Computer Science and Computer Engineering, College of Engineering, University of Arkansas, Fayetteville, Arkansas.
Carson MolderDepartment of Computer Science and Computer Engineering, College of Engineering, University of Arkansas, Fayetteville, Arkansas.
Raj R RaoDepartment of Biomedical Engineering, College of Engineering, University of Arkansas, Fayetteville, Arkansas.
Justin ZhanDepartment of Computer Science and Computer Engineering, College of Engineering, University of Arkansas, Fayetteville, Arkansas.
Shilpa IyerDepartment of Biological Sciences, J. William Fulbright College of Arts and Sciences, University of Arkansas, Fayetteville, Arkansas.ORCID 0000-0001-6287-2232

Funding

Unraveling Gene-Environment Interactions Shaping Metabolism: A Multi-Omics Analysis in DrosophilaP20GM139768 · NIGMS · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI Joanna Fiddler · 2021 to 2026
$17.0M
Development of Quantitative Biomarkers for Mitochondrial DisordersR21HD094394 · NICHD · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI IYER, SHILPA, QUINN, KYLE PATRICK · 2019 to 2020
$395k
NICHD NIH HHS R21 HD094394NIGMS NIH HHS P20 GM139768
6 · The paper itself

Abstract

Mitochondria are dynamic organelles that differ significantly in their morphologies across cell types, reflecting specific cellular needs and stages in development. Despite the wide biological significance in disease and in health, delineating mitochondrial morphologies in complex systems remains challenging. Here, we present the Mitochondrial Cellular Phenotype (MitoCellPhe) tool developed for quantifying mitochondrial morphologies and demonstrate its utility in delineating differences in mitochondrial morphologies in a human fibroblast and human induced pluripotent stem cell (hiPSC) line. MitoCellPhe generates 24 parameters, allowing for a comprehensive analysis of mitochondrial structures and importantly allows for quantification to be performed on mitochondria in images containing single cells or clusters of cells. With this tool, we were able to validate previous findings that show networks of mitochondria in healthy fibroblast cell lines and a more fragmented morphology in hiPSCs. Using images generated from control and diseased fibroblasts and hiPSCs, we also demonstrate the efficacy of the toolset in delineating differences in morphologies between healthy and the diseased state in both stem cell (hiPSC) and differentiated fibroblast cells. Our results demonstrate that MitoCellPhe enables high-throughput, sensitive, detailed, and quantitative mitochondrial morphological assessment and thus enables better biological insights into mitochondrial dynamics in health and disease.

Indexed as

Image Processing, Computer-AssistedMicroscopy, FluorescenceMitochondrial DynamicsOrganelle ShapeSoftware DesignCell LineFibroblastsHigh-Throughput Screening AssaysHumansInduced Pluripotent Stem CellsMitochondriaPhenotypemitochondriamorphologynetworksstem cellsstructure

Identifiers

PMID34469204
PMCPMC8560386

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.