Identification of novel markers of alternative activation and potential endogenous PPARγ ligand production mechanisms in human IL-4 stimulated differentiating macrophages

被引:37
作者
Czimmerer, Zsolt [1 ]
Varga, Tamas [1 ]
Poliska, Szilard [1 ,3 ]
Nemet, Istvan [1 ]
Szanto, Attila [1 ]
Nagy, Laszlo [1 ,2 ]
机构
[1] Univ Debrecen, Dept Biochem & Mol Biol, Res Ctr Mol Med, Med & Hlth Sci Ctr, H-4012 Debrecen, Hungary
[2] Univ Debrecen, MTA DE Lendulet Immungen Res Grp, Med & Hlth Sci Ctr, H-4012 Debrecen, Hungary
[3] Univ Debrecen, Med & Hlth Sci Ctr, Debrecen Clin Genom Ctr, H-4012 Debrecen, Hungary
基金
匈牙利科学研究基金会;
关键词
Alternative macrophage activation markers; ENPP2; MAOA; PPAR gamma ligand; Serotonin; TUMOR-ASSOCIATED MACROPHAGES; FACTOR PATHWAY INHIBITOR-2; T-CELLS; GENE-EXPRESSION; DENDRITIC CELLS; HUMAN MONOCYTES; ADIPOSE-TISSUE; RECEPTOR; CANCER; INFLAMMATION;
D O I
10.1016/j.imbio.2012.08.270
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
We analyzed global gene expression profiles of IL-4 induced alternatively activated as well as IFN-gamma+TNF alpha stimulated classically activated human monocyte derived macrophages and identified novel IL-4 regulated alternative activation marker genes including MS4A4A, SLA, CD180, and ENPP2. Transcription factor prediction analysis of IL-4 regulated genes suggested that the regulated genes are involved in a complex regulation of lipid metabolism, defense against cell metabolism derived reactive oxygen species, and basal expression of inflammation linked genes. Both an in silico transcription activation prediction as well as experimental data suggested the presence of alternative macrophage activation specific endogenous PPAR gamma ligand producing mechanisms. We found the induction of three enzymes whose activity can potentially generate endogenous PPAR gamma ligands in an IL-4 dependent manner. These are MAOA, ENPP2, and ALOX15 producing 5-methoxy-indole acetate, lysophosphatidic acid (LPA) and 13-hydroxyoctadienoic acid (13-HODE), and/or 15-hydroxyeicosatetraenoic acid (15-HETE), respectively. Our data suggest that global gene expression profiling, combined with computational transcription activity prediction, can lead to identification of transcriptional networks that underpin cellular subtype specification. (C) 2012 Elsevier GmbH. All rights reserved.
引用
收藏
页码:1301 / 1314
页数:14
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