723 Transcription, protein synthesis and export CHMP6 Chromatin Modifying Protein 6 -3.599 RANBP1 RAN Binding Protein 1 -3.48 EHBP1 EH Domain Binding Protein 1 -3.106 RRM2 Ribonucleotide Reductase M2 Polypeptide -2.957 CTDSPL Small Carboxy-Terminal Domain Phosphatase -2.838 DARS2 Aspartyl-Trna Synthetase 2 (Mitochondrial) -2.795 POLR3K Polymerase (RNA) Subunit
K -2.701 Nucleotide synthesis UNG Uracil-DNA Glycosylase -3.553 GLRX Glutaredoxin -3.325 DUT dUTP Pyrophosphatase -2.967 TYMS Thymidylate Synthetase -2.687 Energy metabolism ATAD4 ATPase Family, AAA Domain Containing 4 -3.185 COX7B Cytochrome C Oxidase Subunit 7B -2.893 Cytoskeleton/cytokinesis M-RIP Myosin Phosphatase-Rho Interacting Protein -2.954 MALL Mal, T-Cell Differentiation Protein-Like -2.918 ARHGAP29 Rho Gtpase Activating Protein 29 -2.909 ROCK2 Rho-Associated, Coiled-Coil Containing Protein Kinase 2 -2.701 Cytokine TGFB2 Foretinib clinical trial Transforming Growth Factor, PF-6463922 chemical structure Beta 2 -2.909 C1QTNF3 C1q And TNF Related Protein 3 2.701 Protease SPINK1 Serine Peptidase Inhibitor, Kazal Type 1 -2.889 Cell adhesion LGALS4 Galectin 4 -2.869 Redox TXNIP Thioredoxin Interacting Protein -2.843 Cell signalling HS1BP3 HS1-Binding Protein 3 -2.755 Anti-inflammatory ANXA1 Annexin A1 (Lipocortin 1) -2.703 Matrix LAMB1 Laminin, Beta 1 -2.702 Signalling pathways IPA identified a number of canonical signalling pathways that were most
significantly affected (Figure 1). Figure 2 shows a simplified composite of all genes identified by IPA as being part of specific signalling pathways that are most significantly regulated, together with their individual S scores. Here the BIBW2992 supplier central mediator is the NF-κB signalling pathway that is clearly contributory in affecting the signalling through the Death Receptor, IL6, IL10, Toll-like receptor and PPAR pathways (also see Gene Networks section below and Figure 3 which also features NF-κB). In addition, several other canonical signalling pathways, some of which do not feature NF-κB, were also identified as significantly affected. Figure
1 Canonical Signalling Pathways identified by IPA software as significantly regulated by C. jejuni BCE. A Fisher’s exact test was used to calculate a p-value (Bars) determining the probability that the association between the genes in the dataset and the canonical pathway can be explained by chance Aprepitant alone. Threshold refers to the cut off for p < 0.05. Figure 2 Regulated molecules in canonical signalling pathways identified by IPA. Individual pathways are identified by colours assigned in the black-backed heading at the top. Significantly up-regulated genes are shown in darker colour. Significantly down-regulated genes are shown stippled. Numerical values beside regulated genes show the S score. All genes identified by the IPA programme as significantly regulated have been included, together with a limited number of non-regulated genes to portray a simplified view of pathway continuity.