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Current Pharmaceutical Design


ISSN (Print): 1381-6128
ISSN (Online): 1873-4286

Review Article

Transcriptional Characteristics of Activated Macrophages

Author(s): Victor Glanz, Veronika A. Myasoedova, Vasily Sukhorukov, Andrey Grechko, Dongwei Zhang, Elena B. Romaneneko, Varvara A. Orekhova and Alexander Orekhov*

Volume 25 , Issue 3 , 2019

Page: [213 - 217] Pages: 5

DOI: 10.2174/1381612825666190319120132

Price: $65


Macrophages are key players in human innate immunity that protect the organism from pathologic agents, including infection and malignant cells. The spectrum of their functions includes initiation and maintaining of inflammation, cleaning of pathogens and cell debris, as well as inflammation resolution and tissue remodeling and repair. Such a wide spectrum is reflected by the great variety of macrophage phenotypes based on the activation of distinct transcription patterns in response to different stimuli. Studying this complexity requires an integrated approach, such as transcriptome studies. For many genes, the exact role in macrophage biology remains unknown, although clear associations with pro- or anti-inflammatory macrophage polarization could be demonstrated. These findings reveal the novel directions for future research. In this review, we describe the known mechanisms of macrophage polarization and the new insights available from transcriptome studies.

Keywords: Microarrays, next-generation sequencing, transcriptome, macrophage, pathologic agents, malignant cells.

Murray PJ, Allen JE, Biswas SK, et al. Macrophage activation and polarization: nomenclature and experimental guidelines. Immunity 2014; 41(1): 14-20.
Zhao S, Fung-Leung WP, Bittner A, Ngo K, Liu X. Comparison of RNA-Seq and microarray in transcriptome profiling of activated T cells. PLoS One 2014; 9(1)e78644
Haase T, Börnigen D, Müller C, Zeller T. Systems medicine as an emerging tool for cardiovascular genetics. Front Cardiovasc Med 2016; 3: 27.
Xu S. Transcriptome profiling in systems vascular medicine. Front Pharmacol 2017; 8: 563.
Hrdlickova R, Toloue M, Tian B. RNA-Seq methods for transcriptome analysis. Wiley Interdiscip Rev RNA 2017; 8(1): 10.
Hume DA, Freeman TC. Transcriptomic analysis of mononuclear phagocyte differentiation and activation. Immunol Rev 2014; 262(1): 74-84.
Derlindati E, Dei Cas A, Montanini B, et al. Transcriptomic analysis of human polarized macrophages: more than one role of alternative activation? PLoS One 2015; 10(3)e0119751
Becker M, De Bastiani MA, Parisi MM, et al. Integrated transcriptomics establish macrophage polarization signatures and have potential applications for clinical health and disease. Sci Rep 2015; 5: 13351.
Tugal D, Liao X, Jain MK. Transcriptional control of macrophage polarization. Arterioscler Thromb Vasc Biol 2013; 33(6): 1135-44.
Jablonski KA, Gaudet AD, Amici SA, Popovich PG, Guerau-de-Arellano M. Control of the inflammatory macrophage transcriptional signature by miR-155. PLoS One 2016; 11(7)e0159724
Graff JW, Dickson AM, Clay G, McCaffrey AP, Wilson ME. Identifying functional microRNAs in macrophages with polarized phenotypes. J Biol Chem 2012; 287(26): 21816-25.
Karo-Atar D, Itan M, Pasmanik-Chor M, Munitz A. MicroRNA profiling reveals opposing expression patterns for miR-511 in alternatively and classically activated macrophages. J Asthma 2015; 52(6): 545-53.
Czimmerer Z, Varga T, Kiss M, et al. The IL-4/STAT6 signaling axis establishes a conserved microRNA signature in human and mouse macrophages regulating cell survival via miR-342-3p. Genome Med 2016; 8(1): 63.
Zhang Y, Zhang Y, Li X, Zhang M, Lv K. Microarray analysis of circular RNA expression patterns in polarized macrophages. Int J Mol Med 2017; 39(2): 373-9.
Schmidt SV, Krebs W, Ulas T, et al. The transcriptional regulator network of human inflammatory macrophages is defined by open chromatin. Cell Res 2016; 26(2): 151-70.
Xue J, Schmidt SV, Sander J, et al. Transcriptome-based network analysis reveals a spectrum model of human macrophage activation. Immunity 2014; 40(2): 274-88.
Piccolo V, Curina A, Genua M, et al. Opposing macrophage polarization programs show extensive epigenomic and transcriptional cross-talk. Nat Immunol 2017; 18(5): 530-40.
Lurier EB, Dalton D, Dampier W, et al. Transcriptome analysis of IL-10-stimulated (M2c) macrophages by next-generation sequencing. Immunobiology 2017; 222(7): 847-56.
Lin J, Hu Y, Nunez S, et al. Transcriptome-Wide Analysis Reveals Modulation of Human Macrophage Inflammatory Phenotype Through Alternative Splicing. Arterioscler Thromb Vasc Biol 2016; 36(7): 1434-47.
de Bruin RG, Shiue L, Prins J, et al. Quaking promotes monocyte differentiation into pro-atherogenic macrophages by controlling pre-mRNA splicing and gene expression. Nat Commun 2016; 7: 10846.
Das A, Yang CS, Arifuzzaman S, et al. High-resolution mapping and dynamics of the transcriptome, transcription factors, and transcription co-factor networks in classically and alternatively activated macrophages. Front Immunol 2018; 9: 22.
Wynn TA, Chawla A, Pollard JW. Macrophage biology in development, homeostasis and disease. Nature 2013; 496(7446): 445-55.
Nikiforov N, Galstyan K, Nedosugova L, Elizova N, Kolmychkova K, Ivanova E. Proinflammatory monocyte polarization in type 2 diabetes mellitus and coronary heart disease. Vessel Plus 2017; 1: 192-5.
Miao X, Leng X, Zhang Q. The current state of nanoparticle-induced macrophage polarization and reprogramming research. Int J Mol Sci 2017; 18(2): 336.
Lavin Y, Mortha A, Rahman A, Merad M. Regulation of macrophage development and function in peripheral tissues. Nat Rev Immunol 2015; 15(12): 731-44.
de Franciscis S, Metzinger L, Serra R. The discovery of novel genomic, transcriptomic, and proteomic biomarkers in cardiovascular and peripheral vascular disease: The state of the art. BioMed Res Int 2016; 20167829174
Geeraerts X, Bolli E, Fendt SM, Van Ginderachter JA. Macrophage metabolism as therapeutic target for cancer, atherosclerosis, and obesity. Front Immunol 2017; 8: 289.
Itoh M, Kojima M, Nagao-Sato S, et al. Automated workflow for preparation of cDNA for cap analysis of gene expression on a single molecule sequencer. PLoS One 2012; 7(1)e30809
Noguchi S, Arakawa T, Fukuda S, et al. FANTOM5 CAGE profiles of human and mouse samples. Sci Data 2017; 4170112
Baillie JK, Arner E, Daub C, et al. Analysis of the human monocyte-derived macrophage transcriptome and response to lipopolysaccharide provides new insights into genetic aetiology of inflammatory bowel disease. PLoS Genet 2017; 13(3)e1006641
Denisenko E, Guler R, Mhlanga MM, Suzuki H, Brombacher F, Schmeier S. Genome-wide profiling of transcribed enhancers during macrophage activation. Epigenetics Chromatin 2017; 10(1): 50.
Bronte V, Murray PJ. Understanding local macrophage phenotypes in disease: modulating macrophage function to treat cancer. Nat Med 2015; 21(2): 117-9.
Attri KS, Mehla K, Shukla SK, Singh PK. Microscale Gene Expression Analysis of Tumor-Associated Macrophages. Sci Rep 2018; 8(1): 2408.
Buscher K, Ehinger E, Gupta P, et al. Natural variation of macrophage activation as disease-relevant phenotype predictive of inflammation and cancer survival. Nat Commun 2017; 8: 16041.
Lin Z, Changfu H, Fengling Z, et al. Long non-coding RNA deep sequencing reveals the role of macrophage in liver disorders. Oncotarget 2017; 8(70): 114966-79.
Zhang H, Xue C, Wang Y, et al. Deep RNA sequencing uncovers a repertoire of human macrophage long intergenic noncoding RNAs modulated by macrophage activation and associated with cardiometabolic diseases. J Am Heart Assoc 2017; 6(11)e007431
Coppo M, Chinenov Y, Sacta MA, Rogatsky I. The transcriptional coregulator GRIP1 controls macrophage polarization and metabolic homeostasis. Nat Commun 2016; 7: 12254.
Escate R, Padro T, Borrell-Pages M, et al. Macrophages of genetically characterized familial hypercholesterolaemia patients show up-regulation of LDL-receptor-related proteins. J Cell Mol Med 2017; 21(3): 487-99.
Mantovani A, Biswas SK, Galdiero MR, Sica A, Locati M. Macrophage plasticity and polarization in tissue repair and remodelling. J Pathol 2013; 229(2): 176-85.
Kalam H, Fontana MF, Kumar D. Alternate splicing of transcripts shape macrophage response to Mycobacterium tuberculosis infection. PLoS Pathog 2017; 13(3)e1006236
Fu Y-R, Gao K-S, Ji R, Yi Z-J. Differential transcriptional response in macrophages infected with cell wall deficient versus normal Mycobacterium tuberculosis. Int J Biol Sci 2015; 11(1): 22-30.
Gundra UM, Girgis NM, Ruckerl D, et al. Alternatively activated macrophages derived from monocytes and tissue macrophages are phenotypically and functionally distinct. Blood 2014; 123(20): e110-22.
Zhang H, Xue C, Shah R, et al. Functional analysis and transcriptomic profiling of iPSC-derived macrophages and their application in modeling Mendelian disease. Circ Res 2015; 117(1): 17-28.
Sheng K, Cao W, Niu Y, Deng Q, Zong C. Effective detection of variation in single-cell transcriptomes using MATQ-seq. Nat Methods 2017; 14(3): 267-70.

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