10.1371/journal.pone.0098165.g004
Nicholas S. Kirkby
Nicholas S.
Kirkby
Martina H. Lundberg
Martina
H. Lundberg
William R. Wright
William
R. Wright
Timothy D. Warner
Timothy
D. Warner
Mark J. Paul-Clark
Mark
J. Paul-Clark
Jane A. Mitchell
Jane
A. Mitchell
Deletion of COX-2 is associated with up-regulation of lymphocyte-related gene expression patterns, and down-regulation of rgl1 in tissue from fat-fed apoE<sup>−/−</sup> mice.
Public Library of Science
2014
Computational biology
immunology
cardiology
Cardiovascular pharmacology
Clinical medicine
cox-2
up-regulation
lymphocyte-related
down-regulation
rgl1
fat-fed
2014-06-02 04:41:35
Figure
https://plos.figshare.com/articles/figure/_Deletion_of_COX_2_is_associated_with_up_regulation_of_lymphocyte_related_gene_expression_patterns_and_down_regulation_of_rgl1_in_tissue_from_fat_fed_apoE_8722_8722_mice_/1042660
<p>Microarray analysis indicated 82, 87 and 90 differentially expressed genes (DEGs), respectively, in thymus (a), liver (b) and lung (c) from fat-fed apoE<sup>−/−</sup>/COX-2<sup>+/+</sup> and apoE<sup>−/−</sup>/COX-2<sup>−/−</sup> mice. Volcano plot summaries of these data sets illustrate the distribution of effect size and statistical significance. Gene expression differing between genotypes >1.2-fold with p<0.05 highlighted in red, were considered for pathway analysis. Differential gene expression patterns demonstrated only weak overlap between tissues, but one gene, rgl1, was altered (down-regulated) in all tissues studied (d). Rgl1 down-regulation was confirmed in each tissue of apoE<sup>−/−</sup>/COX-2<sup>−/−</sup> mice by qPCR (e). Ingenuity pathway analysis of this data showed that in the thymus (f), liver (g) and lung (h), biological pathways/processes related to T- and/or B-lymphocyte function were amongst the most consistently altered pathways in each tissue. Tables show the top 15 altered biological pathways/processes and implicated genes (green: increased expression; red: decreased expression). Statistical testing of microarray data was performed using a linear model for microarray data modified t-test. n = 4.</p>