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. 2014 Jul 29;22(9):1580–1592. doi: 10.1038/mt.2014.112

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Copyright © 2014 American Society of Gene & Cell Therapy

This work is licensed under a Creative Commons Attribution 3.0 Unported License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/

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Network analysis of liver transcripts post pig CSF1-Fc treatment. Expression data for mouse livers +/- CSF1-Fc (n = 3) was analyzed alongside that of BMDM expression data (+/- LPS). (a) A network graph of transcript-to-transcript Pearson correlation relationships was filtered to show relationships of r ≥ 0.96, resulting in a graph of 2,555 nodes (transcripts) connected by 265,108 edges (Pearson correlation relationships). The graph was then clustered using the MCL clustering algorithm into groups of co-expressed genes. Nodes with the same color belong to the same cluster of co-expressed genes and tend to be highly connected within the network. (b) Expression data for five clusters with each point on the graph representing an individual mouse.