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A Systematic Approach to Identify Markers of Distinctly Activated Human Macrophages

Polarization has been a useful concept for describing activated macrophage phenotypes and gene expression profiles. However, macrophage activation status within tumors and other settings are often inferred based on only a few markers. Complicating matters for relevance to human biology, many macroph...

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Autores principales: Sudan, Bayan, Wacker, Mark A., Wilson, Mary E., Graff, Joel W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445387/
https://www.ncbi.nlm.nih.gov/pubmed/26074920
http://dx.doi.org/10.3389/fimmu.2015.00253
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author Sudan, Bayan
Wacker, Mark A.
Wilson, Mary E.
Graff, Joel W.
author_facet Sudan, Bayan
Wacker, Mark A.
Wilson, Mary E.
Graff, Joel W.
author_sort Sudan, Bayan
collection PubMed
description Polarization has been a useful concept for describing activated macrophage phenotypes and gene expression profiles. However, macrophage activation status within tumors and other settings are often inferred based on only a few markers. Complicating matters for relevance to human biology, many macrophage activation markers have been best characterized in mice and sometimes are not similarly regulated in human macrophages. To identify novel markers of activated human macrophages, gene expression profiles for human macrophages of a single donor subjected to 33 distinct activating conditions were obtained and a set of putative activation markers were subsequently evaluated in macrophages from multiple donors using integrated fluidic circuit (IFC)-based RT-PCR. Using unsupervised hierarchical clustering of the microarray screen, highly altered transcripts (>4-fold change in expression) sorted the macrophage transcription profiles into two major and 13 minor clusters. Among the 1874 highly altered transcripts, over 100 were uniquely altered in one major or two related minor clusters. IFC PCR-derived data confirmed the microarray results and determined the kinetics of expression of potential macrophage activation markers. Transcripts encoding chemokines, cytokines, and cell surface were prominent in our analyses. The activation markers identified by this study could be used to better characterize tumor-associated macrophages from biopsies as well as other macrophage populations collected from human clinical samples.
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spelling pubmed-44453872015-06-12 A Systematic Approach to Identify Markers of Distinctly Activated Human Macrophages Sudan, Bayan Wacker, Mark A. Wilson, Mary E. Graff, Joel W. Front Immunol Immunology Polarization has been a useful concept for describing activated macrophage phenotypes and gene expression profiles. However, macrophage activation status within tumors and other settings are often inferred based on only a few markers. Complicating matters for relevance to human biology, many macrophage activation markers have been best characterized in mice and sometimes are not similarly regulated in human macrophages. To identify novel markers of activated human macrophages, gene expression profiles for human macrophages of a single donor subjected to 33 distinct activating conditions were obtained and a set of putative activation markers were subsequently evaluated in macrophages from multiple donors using integrated fluidic circuit (IFC)-based RT-PCR. Using unsupervised hierarchical clustering of the microarray screen, highly altered transcripts (>4-fold change in expression) sorted the macrophage transcription profiles into two major and 13 minor clusters. Among the 1874 highly altered transcripts, over 100 were uniquely altered in one major or two related minor clusters. IFC PCR-derived data confirmed the microarray results and determined the kinetics of expression of potential macrophage activation markers. Transcripts encoding chemokines, cytokines, and cell surface were prominent in our analyses. The activation markers identified by this study could be used to better characterize tumor-associated macrophages from biopsies as well as other macrophage populations collected from human clinical samples. Frontiers Media S.A. 2015-05-27 /pmc/articles/PMC4445387/ /pubmed/26074920 http://dx.doi.org/10.3389/fimmu.2015.00253 Text en Copyright © 2015 Sudan, Wacker, Wilson and Graff. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Sudan, Bayan
Wacker, Mark A.
Wilson, Mary E.
Graff, Joel W.
A Systematic Approach to Identify Markers of Distinctly Activated Human Macrophages
title A Systematic Approach to Identify Markers of Distinctly Activated Human Macrophages
title_full A Systematic Approach to Identify Markers of Distinctly Activated Human Macrophages
title_fullStr A Systematic Approach to Identify Markers of Distinctly Activated Human Macrophages
title_full_unstemmed A Systematic Approach to Identify Markers of Distinctly Activated Human Macrophages
title_short A Systematic Approach to Identify Markers of Distinctly Activated Human Macrophages
title_sort systematic approach to identify markers of distinctly activated human macrophages
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445387/
https://www.ncbi.nlm.nih.gov/pubmed/26074920
http://dx.doi.org/10.3389/fimmu.2015.00253
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