Construction of a large scale integrated map of macrophage pathogen recognition and effector systems

Raza, Sobia, McDerment, Neil, Lacaze, Paul A, Robertson, Kevin, Watterson, Steven, Chen, Ying, Chisholm, Michael, Eleftheriadis, George, Monk, Stephanie, O'Sullivan, Maire, Turnbull, Arran, Roy, Douglas, Theocharidis, Athanasios, Ghazal, Peter ORCID: https://orcid.org/0000-0003-0035-2228 and Freeman, Tom C 2010. Construction of a large scale integrated map of macrophage pathogen recognition and effector systems. BMC Systems Biology 4 (1) , 63. 10.1186/1752-0509-4-63

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Abstract

Background In an effort to better understand the molecular networks that underpin macrophage activation we have been assembling a map of relevant pathways. Manual curation of the published literature was carried out in order to define the components of these pathways and the interactions between them. This information has been assembled into a large integrated directional network and represented graphically using the modified Edinburgh Pathway Notation (mEPN) scheme. Results The diagram includes detailed views of the toll-like receptor (TLR) pathways, other pathogen recognition systems, NF-kappa-B, apoptosis, interferon signalling, MAP-kinase cascades, MHC antigen presentation and proteasome assembly, as well as selected views of the transcriptional networks they regulate. The integrated pathway includes a total of 496 unique proteins, the complexes formed between them and the processes in which they are involved. This produces a network of 2,170 nodes connected by 2,553 edges. Conclusions The pathway diagram is a navigable visual aid for displaying a consensus view of the pathway information available for these systems. It is also a valuable resource for computational modelling and aid in the interpretation of functional genomics data. We envisage that this work will be of value to those interested in macrophage biology and also contribute to the ongoing Systems Biology community effort to develop a standard notation scheme for the graphical representation of biological pathways.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine
Publisher:	BioMed Central
ISSN:	1752-0509
Date of First Compliant Deposit:	23 August 2018
Date of Acceptance:	14 May 2010
Last Modified:	07 May 2023 13:25
URI:	https://orca.cardiff.ac.uk/id/eprint/113221

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