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In Vivo Visualization of Stromal Macrophages via label-free FLIM-based metabolite imaging
Macrophage infiltration and recruitment in breast tumors has been correlated with poor prognosis in breast cancer patients and has been linked to tumor cell dissemination. Much of our understanding comes from animal models in which macrophages are labeled by expression of an extrinsic fluorophore. H...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4879594/ https://www.ncbi.nlm.nih.gov/pubmed/27220760 http://dx.doi.org/10.1038/srep25086 |
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author | Szulczewski, Joseph M. Inman, David R. Entenberg, David Ponik, Suzanne M. Aguirre-Ghiso, Julio Castracane, James Condeelis, John Eliceiri, Kevin W. Keely, Patricia J. |
author_facet | Szulczewski, Joseph M. Inman, David R. Entenberg, David Ponik, Suzanne M. Aguirre-Ghiso, Julio Castracane, James Condeelis, John Eliceiri, Kevin W. Keely, Patricia J. |
author_sort | Szulczewski, Joseph M. |
collection | PubMed |
description | Macrophage infiltration and recruitment in breast tumors has been correlated with poor prognosis in breast cancer patients and has been linked to tumor cell dissemination. Much of our understanding comes from animal models in which macrophages are labeled by expression of an extrinsic fluorophore. However, conventional extrinsic fluorescence labeling approaches are not readily applied to human tissue and clinical use. We report a novel strategy that exploits endogenous fluorescence from the metabolic co-factors NADH and FAD with quantitation from Fluorescence Lifetime Imaging Microscopy (FLIM) as a means to non-invasively identify tumor-associated macrophages in the intact mammary tumor microenvironment. Macrophages were FAD(HI) and demonstrated a glycolytic-like NADH-FLIM signature that was readily separated from the intrinsic fluorescence signature of tumor cells. This non-invasive quantitative technique provides a unique ability to discern specific cell types based upon their metabolic signatures without the use of exogenous fluorescent labels. Not only does this provide high resolution temporal and spatial views of macrophages in live animal breast cancer models, this approach can be extended to other animal disease models where macrophages are implicated and has potential for clinical applications. |
format | Online Article Text |
id | pubmed-4879594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48795942016-06-07 In Vivo Visualization of Stromal Macrophages via label-free FLIM-based metabolite imaging Szulczewski, Joseph M. Inman, David R. Entenberg, David Ponik, Suzanne M. Aguirre-Ghiso, Julio Castracane, James Condeelis, John Eliceiri, Kevin W. Keely, Patricia J. Sci Rep Article Macrophage infiltration and recruitment in breast tumors has been correlated with poor prognosis in breast cancer patients and has been linked to tumor cell dissemination. Much of our understanding comes from animal models in which macrophages are labeled by expression of an extrinsic fluorophore. However, conventional extrinsic fluorescence labeling approaches are not readily applied to human tissue and clinical use. We report a novel strategy that exploits endogenous fluorescence from the metabolic co-factors NADH and FAD with quantitation from Fluorescence Lifetime Imaging Microscopy (FLIM) as a means to non-invasively identify tumor-associated macrophages in the intact mammary tumor microenvironment. Macrophages were FAD(HI) and demonstrated a glycolytic-like NADH-FLIM signature that was readily separated from the intrinsic fluorescence signature of tumor cells. This non-invasive quantitative technique provides a unique ability to discern specific cell types based upon their metabolic signatures without the use of exogenous fluorescent labels. Not only does this provide high resolution temporal and spatial views of macrophages in live animal breast cancer models, this approach can be extended to other animal disease models where macrophages are implicated and has potential for clinical applications. Nature Publishing Group 2016-05-25 /pmc/articles/PMC4879594/ /pubmed/27220760 http://dx.doi.org/10.1038/srep25086 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Szulczewski, Joseph M. Inman, David R. Entenberg, David Ponik, Suzanne M. Aguirre-Ghiso, Julio Castracane, James Condeelis, John Eliceiri, Kevin W. Keely, Patricia J. In Vivo Visualization of Stromal Macrophages via label-free FLIM-based metabolite imaging |
title | In Vivo Visualization of Stromal Macrophages via label-free FLIM-based metabolite imaging |
title_full | In Vivo Visualization of Stromal Macrophages via label-free FLIM-based metabolite imaging |
title_fullStr | In Vivo Visualization of Stromal Macrophages via label-free FLIM-based metabolite imaging |
title_full_unstemmed | In Vivo Visualization of Stromal Macrophages via label-free FLIM-based metabolite imaging |
title_short | In Vivo Visualization of Stromal Macrophages via label-free FLIM-based metabolite imaging |
title_sort | in vivo visualization of stromal macrophages via label-free flim-based metabolite imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4879594/ https://www.ncbi.nlm.nih.gov/pubmed/27220760 http://dx.doi.org/10.1038/srep25086 |
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