The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Quantitative metabolic imaging using endogenous fluorescence to detect stem cell differentiation
Open accessAbstract
The non-invasive high-resolution spatial mapping of cell metabolism within tissues could provide substantial advancements in assessing the efficacy of stem cell therapy and understanding tissue development. Here, using two-photon excited fluorescence microscopy, we elucidate the relationships among endogenous cell fluorescence, cell redox state, and the differentiation of human mesenchymal stem cells into adipogenic and osteoblastic lineages. Using liquid chromatography/mass spectrometry and quantitative PCR, we evaluate the sensitivity of an optical redox ratio of FAD/(NADH + FAD) to metabolic changes associated with stem cell differentiation. Furthermore, we probe the underlying physiological mechanisms, which relate a decrease in the redox ratio to the onset of differentiation. Because traditional assessments of stem cells and engineered tissues are destructive, time consuming, and logistically intensive, the development and validation of a non-invasive, label-free approach to defining the spatiotemporal patterns of cell differentiation can offer a powerful tool for rapid, high-content characterization of cell and tissue cultures.
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Cites
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
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Two-photon laser scanning fluorescence microscopy
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Two-Photon Fluorescence Spectroscopy and Microscopy of NAD(P)H and Flavoprotein
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Cited by
NAD + repletion improves mitochondrial and stem cell function and enhances life span in mice
Zhang, H., Ryu, D., Wu, Y., Gariani, K., Wang, X., Luan, P., D’Amico, D., Ropelle, E. R., Lutolf, M. P., Aebersold, R., et al. (2016) · Science · doi:10.1126/science.aaf2693 · Cited by 1,255
Evaluating Cell Metabolism Through Autofluorescence Imaging of NAD(P)H and FAD
Kolenc, O. I., & Quinn, K. P. (2019) · Antioxidants & Redox Signaling · doi:10.1089/ars.2017.7451 · Cited by 365
Self-citationLi, Q., Gao, Z., Chen, Y., & Guan, M.-X. (2017) · Protein & Cell · doi:10.1007/s13238-017-0385-7 · Cited by 355
Cyclometalated iridium(III) complexes for life science
Caporale, C., & Massi, M. (2018) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2018.02.006 · Cited by 258
Yan, W., Diao, S., & Fan, Z. (2021) · Stem Cell Research & Therapy · doi:10.1186/s13287-021-02194-z · Cited by 167
Metadata
- Authors
- Quinn, K. P., Sridharan, G. V., Hayden, R. S., Kaplan, D. L., Lee, K., & Georgakoudi, I.
- Venue
- Scientific Reports
- Published
- 2013-12-05
- Volume
- 3
- Issue
- 1
- Pages
- 3432-3432
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2044356754
- Cited by
- 278
- References
- 53
- FWCI
- 8.92
- Type
- journal article
- Language
- en
- Open access
- gold
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- Quinn, K. P., Sridharan, G. V., Hayden, R. S., Kaplan, D. L., Lee, K., & Georgakoudi, I. (2013). Quantitative metabolic imaging using endogenous fluorescence to detect stem cell differentiation. Scientific Reports. https://doi.org/10.1038/srep03432
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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