Quantification of mitophagy using mKeima-mito in cultured human primary retinal pigment epithelial cells

Cody R Fisher1, Mara C Ebeling2, Deborah A Ferrington1

  • 1Department of Ophthalmology and Visual Neurosciences, University of Minnesota, Minneapolis, MN, 55455, USA; Graduate Program in Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, 55455, USA.

Experimental Eye Research
|February 15, 2022
PubMed

Insights

Researchers developed new methods to study retinal pigment epithelium (RPE) cells, overcoming challenges in imaging and analysis for diseases like age-related macular degeneration (AMD). This enables better investigation of RPE cell function and disease progression.

Area of Science:

  • Ophthalmology
  • Cell Biology
  • Biotechnology

Background:

  • The retinal pigment epithelium (RPE) is crucial for retinal health, and its loss is linked to visual disorders like age-related macular degeneration (AMD).
  • Primary RPE cultures are valuable for disease research but present challenges, including limited cell availability, autofluorescent pigment interference, and difficulty in transfection for fluorescent imaging.
  • Existing methods struggle to accurately quantify cellular processes in RPE due to inherent pigment autofluorescence and transfection difficulties.

Purpose of the Study:

  • To develop novel techniques for overcoming challenges in studying primary RPE cell cultures.
  • To enable accurate quantification of mitophagy in RPE cells using live-cell imaging.
  • To establish a robust methodology for investigating disease mechanisms and treatment effects in RPE models.

Main Methods:

  • Adeno-associated viral (AAV) vector used to express mKeima-mito, a pH-sensitive fluorescent protein targeted to mitochondria.
  • Live-cell time-lapse imaging employed to monitor mitophagy.
  • A specialized image analysis pipeline developed to isolate mKeima-mito signal and eliminate autofluorescent pigment interference.

Main Results:

  • Successfully expressed and visualized mKeima-mito in primary RPE cultures.
  • Developed and validated an image analysis pipeline capable of accurately quantifying mitophagy by distinguishing mKeima-mito signal from RPE autofluorescence.
  • Demonstrated the technique's efficacy in tracking mitochondrial fragmentation and mitophagy induced by FCCP treatment.

Conclusions:

  • The developed AAV-mediated expression of mKeima-mito and the specialized image analysis pipeline provide a powerful tool for studying mitophagy in RPE cells.
  • These techniques overcome significant limitations of primary RPE cultures, offering a reliable roadmap for future research into retinal diseases and therapeutic interventions.
  • This methodology enhances the study of mitochondrial dynamics and autophagy in RPE, crucial for understanding and treating vision disorders.

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