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MitoTNT: Mitochondrial Temporal Network Tracking for 4D live-cell fluorescence microscopy data.

Zichen Wang1,2, Parth Natekar1,2, Challana Tea1,2

  • 1Department of Pharmacology, University of California, San Diego, San Diego, California, United States of America.

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This summary is machine-generated.

MitoTNT software tracks mitochondrial networks in 4D live-cell microscopy, enabling accurate analysis of mitochondrial dynamics and disease implications. This tool enhances understanding of cellular processes and potential therapeutic targets.

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Area of Science:

  • Cell Biology
  • Mitochondrial Dynamics
  • Bioimaging

Background:

  • Mitochondria form a dynamic 4D network crucial for cellular health.
  • Dysregulation of mitochondrial networks is linked to diseases like cancer and neurodegeneration.
  • Existing 4D imaging methods lack quantitative analysis tools for mitochondrial networks.

Purpose of the Study:

  • Introduce MitoTNT, the first software for Mitochondrial Temporal Network Tracking (MitoTNT) in 4D live-cell microscopy.
  • Provide accurate quantitative analysis of mitochondrial network dynamics.
  • Facilitate research into mitochondrial roles in health and disease.

Main Methods:

  • Developed MitoTNT software utilizing spatial proximity and network topology for optimal tracking.
  • Validated tracking accuracy using reaction-diffusion simulations and experimental data.
  • Applied MitoTNT to quantify 4D mitochondrial networks in human induced pluripotent stem cells.

Main Results:

  • MitoTNT achieved >90% accuracy in simulations and validated well with experimental data.
  • Characterized mitochondrial skeleton node motion, revealing temporal correlations.
  • Identified fission/fusion events, showing increased node motility near these sites and a role for microtubules.
  • Transport simulations revealed that pharmacological perturbations affect network reachability and resilience.

Conclusions:

  • MitoTNT provides accurate, accessible 4D mitochondrial network tracking and analysis.
  • Revealed novel insights into mitochondrial dynamics, including node motion patterns and fission/fusion mechanisms.
  • Demonstrated the impact of perturbations on mitochondrial network function, relevant for disease and drug development.