ArticleInternational journal of molecular sciences2019
Systematic Enzyme Mapping of Cellular Metabolism by Phasor-Analyzed Label-Free NAD(P)H Fluorescence Lifetime Imaging.
Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 41 citations in OpenAlex.
- Autofluorescence lifetime imaging resolves cell heterogeneity within peripheral blood mononuclear cells.Biophotonics discovery · 2026Article
- Prediction of Patients' Response to Immune Checkpoint Inhibitors Using Fluorescence Lifetime Imaging of Lymphocytes.Biomedicines · 2026Article
- Autofluorescence lifetime imaging resolves cell heterogeneity within peripheral blood mononuclear cells.bioRxiv : the preprint server for biology · 2026Article
- Redefining colocalization analysis with a novel phasor mixing coefficient.Journal of cell science · 2026Article
- FLIMB: fluorescence lifetime microendoscopy for metabolic and functional imaging of femoral marrow at subcellular resolution.Biomedical optics express · 2025Article
- Cellpose as a reliable method for single-cell segmentation of autofluorescence microscopy images.Scientific reports · 2025Article
- Two-photon NAD(P)H-FLIM reveals unperturbed energy metabolism of Ascaris suum larvae, in contrast to host macrophages upon artemisinin derivatives exposure.Scientific reports · 2025Article
- Correlating NAD(P)H lifetime shifts to tamoxifen resistance in breast cancer cells: A metabolic screening study with time-resolved flow cytometry.Journal of innovative optical health sciences · 2025Article
- Label-free metabolic imaging ofFrontiers in cellular and infection microbiology · 2025Article
- Simultaneous Application of Methylene Blue and Chlorin e6 Photosensitizers: Investigation on a Cell Culture.Sovremennye tekhnologii v meditsine · 2025Article
- Article
- More than double the fun with two-photon excitation microscopy.Communications biology · 2024Review
- Probing organoid metabolism using fluorescence lifetime imaging microscopy (FLIM): The next frontier of drug discovery and disease understanding.Advanced drug delivery reviews · 2023Review
- Application of fluorescence lifetime imaging microscopy to monitor glucose metabolism in pancreatic isletsBiomedical optics express · 2023Article
- Distinguishing Healthy and Carcinoma Cell Cultures Using Fluorescence Spectra Decomposition with a Genetic-Algorithm-Based Code.Biosensors · 2023Article
- Two-Photon Excited Fluorescence of NADH-Alcohol Dehydrogenase Complex in a Mixture with Bacterial Enzymes.Biomolecules · 2023Article
- FLUTE: A Python GUI for interactive phasor analysis of FLIM data.Biological imaging · 2023Article
- In good times and in bad: How plasma cells resolve stress for a life-long union with the bone marrow.Frontiers in immunology · 2023Article
- Two-photon fluorescence lifetime imaging microscopy of NADH metabolism in HIV-1 infected cells and tissues.Frontiers in immunology · 2023Article
- Label-free multimodal imaging of infected Galleria mellonella larvae.Scientific reports · 2022Article
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Authors and funding
5 authors at 2 institutions in 1 country.
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Abstract
In the past years, cellular metabolism of the immune system experienced a revival, as it has become clear that it is not merely responsible for the cellular energy supply, but also impacts on many signaling pathways and, thus, on diverse cellular functions. Label-free fluorescence lifetime imaging of the ubiquitous coenzymes NADH and NADPH (NAD(P)H-FLIM) makes it possible to monitor cellular metabolism in living cells and tissues and has already been applied to study metabolic changes both under physiologic and pathologic conditions. However, due to the complex distribution of NAD(P)H-dependent enzymes in cells, whose distribution continuously changes over time, a thorough interpretation of NAD(P)H-FLIM results, in particular, resolving the contribution of various enzymes to the overall metabolic activity, remains challenging. We developed a systematic framework based on angle similarities of the phase vectors and their length to analyze NAD(P)H-FLIM data of cells and tissues based on a generally valid reference system of highly abundant NAD(P)H-dependent enzymes in cells. By using our analysis framework, we retrieve information not only about the overall metabolic activity, i.e., the fraction of free to enzyme-bound NAD(P)H, but also identified the enzymes predominantly active within the sample at a certain time point with subcellular resolution. We verified the performance of the approach by applying NAD(P)H-FLIM on a stromal-like cell line and identified a different group of enzymes that were active in the cell nuclei as compared to the cytoplasm. As the systematic phasor-based analysis framework of label-free NAD(P)H-FLIM can be applied both in vitro and in vivo, it retains the unique power to enable dynamic enzyme-based metabolic investigations, at subcellular resolution, in genuine environments.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.