Networks Inferred from Biochemical Data Reveal Profound Differences in Toll-like Receptor and Inflammatory Signaling between Normal and Transformed Hepatocytes
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Lauffenberger_Networks inferred.pdf
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Author(s)
Alexopoulos, Leonidas G.
Rodriguez, Julio Saez
Cosgrove, Benjamin D.
Lauffenburger, Douglas A.
Sorger, Peter K.
Date Issued
May 2010
Journal
Molecular and Cellular Proteomics
Publisher
American Society for Biochemistry and Molecular Biology (ASBMB)
Citation
Alexopoulos, L. G. et al. “Networks Inferred from Biochemical Data Reveal Profound Differences in Toll-like Receptor and Inflammatory Signaling Between Normal and Transformed Hepatocytes.” Molecular & Cellular Proteomics 9.9 (2010): 1849–1865. © 2010 by The American Society for Biochemistry and Molecular Biology, Inc.
Version
Final published version
Abstract
Systematic study of cell signaling networks increasingly involves high throughput proteomics, transcriptional profiling, and automated literature mining with the aim of assembling large-scale interaction networks. In contrast, functional analysis of cell signaling usually focuses on a much smaller sets of proteins and eschews computation but focuses directly on cellular responses to environment and perturbation. We sought to combine these two traditions by collecting cellresponse measures on a reasonably large scale and then attempting to infer differences in network topology between two cell types. Human hepatocytes and hepatocellular carcinoma (HCC) cell lines were exposed to inducers of inflammation, innate immunity and proliferation in the presence and absence of small molecule drugs and multiplex biochemical measurement then performed on intra- and extracellular signaling molecules. We uncover major differences between primary and transformed hepatocytes with respect to the engagement of toll-like receptor and NF-κBdependent secretion of chemokines and cytokines that prime and attract immune cells. Overall, our results serve as a proof-of-principle for an approach to network analysis that is systematic, comparative and biochemically focused. More specifically, our data support the hypothesis that HCC cells down-regulate normal inflammatory and immune responses to avoid immune editing.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1074/mcp.M110.000406
