MitoCellPhe reveals mitochondrial morphologies in single fibroblasts and clustered stem cells.
Ajibola B BakareFibi MeshrkeyBenjamin LoweCarson MolderRaj R RaoJustin ZhanShilpa IyerPublished in: American journal of physiology. Cell physiology (2021)
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.
Keyphrases
- stem cells
- oxidative stress
- induced apoptosis
- cell cycle arrest
- high throughput
- cell death
- endothelial cells
- healthcare
- public health
- deep learning
- cell therapy
- convolutional neural network
- climate change
- endoplasmic reticulum stress
- mesenchymal stem cells
- extracellular matrix
- social media
- cell proliferation
- signaling pathway
- bone marrow
- human health
- pi k akt