Figures
Network modeling to explore the dynamics of Th1 and Th2 cell regulation.
Th1 and Th2 lymphocytes are thought to be counter-regulatory. A network model of genes that regulate Th1 and Th2 cells was constructed by automated mining of 18 million abstracts in Medline. Analysis of the dynamics of this model using in silico knock-outs suggested a synergistic, rather than a counter-regulatory, relationship between Th1 and Th2 cells. This was supported by analysis of public gene expression microarray data from different inflammatory diseases. Network modeling using public data may be generally applicable to understand complex regulatory networks in health and disease. (See Pedicini et al., doi:10.1371/journal.pcbi.1001032.)
Image Credit: Filippo Castiglione
Citation: (2010) PLoS Computational Biology Issue Image | Vol. 6(12) December 2010. PLoS Comput Biol 6(12): ev06.i12. https://doi.org/10.1371/image.pcbi.v06.i12
Published: December 23, 2010
Copyright: © 2010 Pedicini et al.. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Th1 and Th2 lymphocytes are thought to be counter-regulatory. A network model of genes that regulate Th1 and Th2 cells was constructed by automated mining of 18 million abstracts in Medline. Analysis of the dynamics of this model using in silico knock-outs suggested a synergistic, rather than a counter-regulatory, relationship between Th1 and Th2 cells. This was supported by analysis of public gene expression microarray data from different inflammatory diseases. Network modeling using public data may be generally applicable to understand complex regulatory networks in health and disease. (See Pedicini et al., doi:10.1371/journal.pcbi.1001032.)
Image Credit: Filippo Castiglione