FLIM intensity-based image segmentation reveals upregulated energy metabolism and chemotherapy sensitivity in MCF-7 cells

Mitochondrial transfer to recipient cells triggers a respiratory burst by increasing ATP production and cellular energy metabolism. However, its impact on intracellular metabolic shifts remains unclear. This study introduces a novel methodological approach and new biological insights into mitochondrial dynamics in cancer cells. We developed fluorescence-lifetime imaging microscopy (FLIM) intensity-based image segmentation (FIBIS), an algorithm optimized for single-mitochondrion analysis. FIBIS utilizes NADH autofluorescence, eliminating the need for biomarker staining, and improves mitochondrial detection accuracy by 35% compared to raw intensity thresholding. This method is particularly effective for analyzing dynamic mitochondria in live cells. Using FIBIS, we show that normal epithelial mitochondria uptake alters the free NADH-to-bound NADH ratio, increasing bound NADH in both estrogen- and progesterone receptor-positive and triple-negative breast cancer cells. Additionally, mitochondrial transfer enhances cancer cell sensitivity to oxidative stress-inducing anti-cancer drugs, suggesting a potential restoration of normal reactive oxygen species tolerance. Overall, FIBIS is a robust methodological approach that uses the phasor-FLIM technique to analyze NADH levels (free and bound) at the single-mitochondrion level, providing new biological insights into transferred mitochondrial dynamics in cancer cells.

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Publication Details

Journal
Journal of Cell Science
Published
2025-12-01
DOI
https://doi.org/10.1242/jcs.263702
Citations
1
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
1.63

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article

FLIM intensity-based image segmentation reveals upregulated energy metabolism and chemotherapy sensitivity in MCF-7 cells

Mary Zhuang, Michelle A. Digman, Yu-Kai Huang
1 citations
Journal of Cell Science
Advanced Fluorescence Microscopy Techniques
1.63
article

FLIM intensity-based image segmentation reveals upregulated energy metabolism and chemotherapy sensitivity in MCF-7 cells

Mary Zhuang, Michelle A. Digman, Yu-Kai Huang
article en
1 citations

Abstract

Mitochondrial transfer to recipient cells triggers a respiratory burst by increasing ATP production and cellular energy metabolism. However, its impact on intracellular metabolic shifts remains unclear. This study introduces a novel methodological approach and new biological insights into mitochondrial dynamics in cancer cells. We developed fluorescence-lifetime imaging microscopy (FLIM) intensity-based image segmentation (FIBIS), an algorithm optimized for single-mitochondrion analysis. FIBIS utilizes NADH autofluorescence, eliminating the need for biomarker staining, and improves mitochondrial detection accuracy by 35% compared to raw intensity thresholding. This method is particularly effective for analyzing dynamic mitochondria in live cells. Using FIBIS, we show that normal epithelial mitochondria uptake alters the free NADH-to-bound NADH ratio, increasing bound NADH in both estrogen- and progesterone receptor-positive and triple-negative breast cancer cells. Additionally, mitochondrial transfer enhances cancer cell sensitivity to oxidative stress-inducing anti-cancer drugs, suggesting a potential restoration of normal reactive oxygen species tolerance. Overall, FIBIS is a robust methodological approach that uses the phasor-FLIM technique to analyze NADH levels (free and bound) at the single-mitochondrion level, providing new biological insights into transferred mitochondrial dynamics in cancer cells.

Journal of Cell ScienceVol. 138(23)
University of California, Irvine (US), Irvine University (US)
National Science Foundation, National Institutes of Health, University of California, Irvine
Openalex Percentile: Top 11%
Advanced Fluorescence Microscopy Techniques
1.63
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FLIM intensity-based image segmentation reveals upregulated energy metabolism and chemotherapy sensitivity in MCF-7 cells — Mary Zhuang, Michelle A. Digman, et al. · Journal of Cell Science (2025) | TGRS Research Map | TGRS