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MitoCellPhe reveals mitochondrial morphologies in single fibroblasts and clustered stem cells.
Bakare, Ajibola B; Meshrkey, Fibi; Lowe, Benjamin; Molder, Carson; Rao, Raj R; Zhan, Justin; Iyer, Shilpa.
Afiliação
  • Bakare AB; Department of Biological Sciences, J. William Fulbright College of Arts and Sciences, University of Arkansas, Fayetteville, Arkansas.
  • Meshrkey F; Department of Biological Sciences, J. William Fulbright College of Arts and Sciences, University of Arkansas, Fayetteville, Arkansas.
  • Lowe B; Department of Histology and Cell Biology, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
  • Molder C; Department of Computer Science and Computer Engineering, College of Engineering, University of Arkansas, Fayetteville, Arkansas.
  • Rao RR; Department of Computer Science and Computer Engineering, College of Engineering, University of Arkansas, Fayetteville, Arkansas.
  • Zhan J; Department of Biomedical Engineering, College of Engineering, University of Arkansas, Fayetteville, Arkansas.
  • Iyer S; Department of Computer Science and Computer Engineering, College of Engineering, University of Arkansas, Fayetteville, Arkansas.
Am J Physiol Cell Physiol ; 321(4): C735-C748, 2021 10 01.
Article em En | MEDLINE | ID: mdl-34469204
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Design de Software / Forma das Organelas / Células-Tronco Pluripotentes Induzidas / Fibroblastos / Dinâmica Mitocondrial / Microscopia de Fluorescência / Mitocôndrias Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Design de Software / Forma das Organelas / Células-Tronco Pluripotentes Induzidas / Fibroblastos / Dinâmica Mitocondrial / Microscopia de Fluorescência / Mitocôndrias Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article