Open Access Highly Accessed Research article

Gene regulatory network analysis supports inflammation as a key neurodegeneration process in prion disease

Isaac Crespo1, Kirsten Roomp1, Wiktor Jurkowski1, Hiroaki Kitano2 and Antonio del Sol1*

Author Affiliations

1 Luxembourg Center for Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, 7, avenue des Hauts fourneaux, Luxembourg L-4362, Luxembourg

2 The Systems Biology Institute, Tokyo, 108-0071, Japan

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BMC Systems Biology 2012, 6:132  doi:10.1186/1752-0509-6-132

Published: 15 October 2012



The activation of immune cells in the brain is believed to be one of the earliest events in prion disease development, where misfolded PrionSc protein deposits are thought to act as irritants leading to a series of events that culminate in neuronal cell dysfunction and death. The role of these events in prion disease though is still a matter of debate. To elucidate the mechanisms leading from abnormal protein deposition to neuronal injury, we have performed a detailed network analysis of genes differentially expressed in several mouse prion models.


We found a master regulatory core of genes related to immune response controlling other genes involved in prion protein replication and accumulation, and neuronal cell death. This regulatory core determines the existence of two stable states that are consistent with the transcriptome analysis comparing prion infected versus uninfected mouse brain. An in silico perturbation analysis demonstrates that core genes are individually capable of triggering the transition and that the network remains locked once the diseased state is reached.


We hypothesize that this locking may be the cause of the sustained immune response observed in prion disease. Our analysis supports the hypothesis that sustained brain inflammation is the main pathogenic process leading to neuronal dysfunction and loss, which, in turn, leads to clinical symptoms in prion disease.

Prion disease; Inflammation; Neurodegeneration; Gene regulatory network; Perturbation; Stable states