4D mitochondrial network assumes distinct and predictive phenotypes through human lung and intestinal epithelial...

Area of Science:

• Cell Biology
• Developmental Biology
• Mitochondrial Biology

Background:

• Mitochondria exhibit diverse morphologies and behaviors crucial for cell function.
• Previous studies lacked a comprehensive map of mitochondrial phenotype changes during tissue development.
• Understanding mitochondrial dynamics is key to comprehending cell state, type, and fate.

Purpose of the Study:

• To create an integrated map of mitochondrial phenotypes throughout human lung and intestinal epithelial development.
• To analyze mitochondrial biophysical phenotypes in developing human organoids using advanced imaging techniques.
• To investigate the relationship between mitochondrial phenotypes, cell age, and cell type during organoid development.

Main Methods:

• Utilized human stem cell-derived intestinal and lung organoids as developmental models.
• Employed lattice light-sheet microscopy (LLSM) for high-resolution, 4D imaging of mitochondria in live organoids.
• Applied MitoGraph, MitoTNT, and custom computational tools for automated image processing and quantitative network tracking.

Main Results:

• Identified distinct mitochondrial phenotypes specific to different organoid types and developmental stages.
• Established correlations between mitochondrial phenotypes, cellular age, and cell type.
• Demonstrated that mitochondrial network characteristics can predict organoid type and cell age.

Conclusions:

• This work provides the first 4D spatiotemporal quantification of mitochondrial dynamics in developing human organoids at the single-cell level.
• Findings reveal fundamental, previously unobservable aspects of mitochondrial biology and cell-type-specific dynamics.
• The developed methods offer a powerful framework for advancing 4D cell biology and organelle characterization in organoid systems.