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Dynamic Cross Talk Model of the Epithelial Innate Immune Response to Double-Stranded RNA Stimulation: Coordinated Dynamics Emerging from Cell-Level Noise
| Content Provider | PubMed Central |
|---|---|
| Author | Roberto, Bertolusso Tian, Bing Zhao, Yingxin Vergara, Leoncio Sabree, Aqeeb Marta, Iwanaszko Tomasz, Lipniacki Brasier, Allan R. Kimmel, Marek |
| Editor | Meurs, Eliane F. |
| Copyright Year | 2014 |
| Abstract | We present an integrated dynamical cross-talk model of the epithelial innate immune reponse (IIR) incorporating RIG-I and TLR3 as the two major pattern recognition receptors (PRR) converging on the RelA and IRF3 transcriptional effectors. bioPN simulations reproduce biologically relevant gene-and protein abundance measurements in response to time course, gene silencing and dose-response perturbations both at the population and single cell level. Our computational predictions suggest that RelA and IRF3 are under auto- and cross-regulation. We predict, and confirm experimentally, that RIG-I mRNA expression is controlled by IRF7. We also predict the existence of a TLR3-dependent, IRF3-independent transcription factor (or factors) that control(s) expression of MAVS, IRF3 and members of the IKK family. Our model confirms the observed dsRNA dose-dependence of oscillatory patterns in single cells, with periods of 1–3 hr. Model fitting to time series, matched by knockdown data suggests that the NF-κB module operates in a different regime (with different coefficient values) than in the TNFα-stimulation experiments. In future studies, this model will serve as a foundation for identification of virus-encoded IIR antagonists and examination of stochastic effects of viral replication. |
| Related Links | http://dx.doi.org/10.1371/journal.pone.0093396 |
| Starting Page | 93396 |
| File Format | |
| ISSN | 19326203 |
| e-ISSN | 19326203 |
| Journal | PLoS ONE |
| Issue Number | 4 |
| Volume Number | 9 |
| Language | English |
| Publisher | Public Library of Science |
| Access Restriction | Open |
| Rights Holder | Public Library of Science |
| Subject Keyword | Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |