Macrophages.com: an on-line community resource for innate immunity research

Abstract

Macrophages play a major role in tissue remodelling during development, wound healing and tissue homeostasis, and are central to innate immunity and to the pathology of tissue injury and inflammation. Given this fundamental role in many aspects of biological function, an enormous wealth of information has accumulated on these fascinating cells in the literature and other public repositories. With the escalation of genome-scale data derived from macrophages and related haematopoietic cell types, there is a growing need for an integrated resource that seeks to compile, organise and analyse our collective knowledge of macrophage biology. Here we describe a community-driven web-based resource, macrophages.com that aims to provide a portal onto various types of Omics data to facilitate comparative genomic studies, promoter and transcriptional network analyses, models of macrophage pathways together with other information on these cells. To this end, the website combines public and in-house analyses of expression data with pre-analysed views of co-expressed genes as supported by the network analysis tool BioLayout Express(3D), as well as providing access to maps of pathways active in macrophages. Macrophages.com also provides access to an extensive image library of macrophages in adult/embryonic tissue sections prepared from normal and transgenic mice. In addition, the site links to the Human Protein Atlas database so as to provide direct access to protein expression patterns in human macrophages. Finally, an integrated gene-centric portal provides the tools for rapid promoter analysis studies based on a comprehensive set of CAGE-derived transcription start site (TSS) sequences in human and mouse genomes as generated by the Functional Annotation of Mammalian genomes (FANTOM) projects initiated by the RIKEN Omics Science Center. Our aim is to continue to grow the macrophages.com resource using publicly available data, as well as in-house generated knowledge. In so doing we aim to provide a user-friendly community website and a community portal for access to comprehensive sets of macrophage-related data.