|
ИСТИНА |
Войти в систему Регистрация |
ИСТИНА ИНХС РАН |
||
Label-free sensing of cells with fluorescence lifetime imaging: The quest for metabolic heterogeneityстатья
Статья опубликована в высокорейтинговом журнале
Статья опубликована в журнале из списка Web of Science и/или Scopus- Авторы: Shirshin Evgeny A., Shirmanova Marina V., Gayer Alexey V., Lukina Maria M., Nikonova Elena E., Yakimov Boris P., Budylin Gleb S., Dudenkova Varvara V., Ignatova Nadezhda I., Komarov Dmitry V., Yakovlev Vladislav V., Becker Wolfgang, Zagaynova Elena V., Shcheslavskiy Vladislav I., Scully Marlan O.
- Журнал: Proceedings of the National Academy of Sciences of the United States of America
- Том: 119
- Номер: 9
- Год издания: 2022
- Издательство: National Academy of Sciences
- Местоположение издательства: United States
- Первая страница: e2118241119
- DOI: 10.1073/pnas.2118241119
- Аннотация: Molecular, morphological, and physiological heterogeneity is the inherent property of cells which governs differences in their response to external influence. Tumor cell metabolic heterogeneity is of a special interest due to its clinical relevance to tumor progression and therapeutic outcomes. Rapid, sensitive, and noninvasive assessment of metabolic heterogeneity of cells is a great demand for biomedical sciences. Fluorescence lifetime imaging (FLIM), which is an all-optical technique, is an emerging tool for sensing and quantifying cellular metabolism by measuring fluorescence decay parameters of endogenous fluorophores, such as NAD(P)H. To achieve accurate discrimination between metabolically diverse cellular subpopulations, appropriate approaches to FLIM data collection and analysis are needed. In this paper, the unique capability of FLIM to attain the overarching goal of discriminating metabolic heterogeneity is demonstrated. This has been achieved using an approach to data analysis based on the nonparametric analysis, which revealed a much better sensitivity to the presence of metabolically distinct subpopulations compared to more traditional approaches of FLIM measurements and analysis. The approach was further validated for imaging cultured cancer cells treated with chemotherapy. These results pave the way for accurate detection and quantification of cellular metabolic heterogeneity using FLIM, which will be valuable for assessing therapeutic vulnerabilities and predicting clinical outcomes.
- Добавил в систему: Гайер Алексей Вячеславович