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Mediators of Inflammation
Volume 2017, Article ID 1359064, 15 pages
https://doi.org/10.1155/2017/1359064
Research Article

Endogenous IL-33 Deficiency Exacerbates Liver Injury and Increases Hepatic Influx of Neutrophils in Acute Murine Viral Hepatitis

1Institut National de la Santé et de la Recherche Médicale (Inserm), U.1085, Institut de Recherche Santé Environnement et Travail (IRSET), 35043 Rennes, France
2Université de Rennes 1, 35043 Rennes, France
3Structure Fédérative BioSit UMS 3480, CNRS-US18-INSERM, 35043 Rennes, France
4Service de Biochimie CHU Rennes, Université de Rennes 1, Rennes, France
5Institut de Génétique et Développement de Rennes (IGDR), UMR 6290 CNRS, Université de Rennes 1, 35043 Rennes, France
6Institut de Pharmacologie et de Biologie Structurale, Centre National de la Recherche Scientifique (IPBS-CNRS), Université de Toulouse, 31077 Toulouse, France
7Département des Sciences Biologiques, Université du Québec à Montréal, Montréal, QC, Canada

Correspondence should be addressed to Michel Samson; rf.1senner-vinu@nosmas.lehcim

Received 17 October 2016; Revised 7 March 2017; Accepted 16 March 2017; Published 21 May 2017

Academic Editor: Alex Kleinjan

Copyright © 2017 Virginie Carrière et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplemental Figure 1. False color heat map expression analysis of the up- and down-regulated genes in WT and IL-33 KO mice following L2-MHV3 induced hepatitis. A pool of mRNA, constituted of at least 5 mice by condition, was tested by RT-qPCR for the expression of 344 genes involved in inflammation and cell signaling. The WT PBS condition served as the baseline value. Data processing and gene filtration was carried out using the AMEN suite of tools [25]. The resulting genes were classified into 13 expression patterns (termed P1-P13) using the k-means algorithm bioinformatics analysis and reported in a false-color heat map. Each column corresponds to a sample. Each line represents a gene and its log2-transformed fold-change value. A color scale is shown for log2-transformed fold-change values at the bottom: from blue (low fold-change) to red (high fold-change). Supplemental Table 1: Sequences of specific primers used for RT-QPCR. Supplemental Table 2: Differential expression of 288 genes quantified in the six different conditions (WT PBS vs WT L2-MHV3 48h PI vs WT L2-MHV3 72hPI vs IL-33 KO PBS vs IL-33 KO L2-MHV3 48h PI vs IL-33 KO L2-MHV3 72h PI) and classified in 13 patterns using k-means algorithm bioinformatics analysis. Supplemental Table 3: Highlight on differential expression profiles of neutrophil-related genes quantified in the six different conditions (WT PBS vs WT L2-MHV3 48h PI vs WT L2-MHV3 72hPI vs IL-33 KO PBS vs IL-33 KO L2-MHV3 48h PI vs IL-33 KO L2-MHV3 72h PI).

  1. Supplementary Material