Evidence map›Paper›PMID 24710104›Full record

ArticlePloS one2014

Dynamic cross talk model of the epithelial innate immune response to double-stranded RNA stimulation: coordinated dynamics emerging from cell-level noise.

Roberto Bertolusso, Bing Tian, Yingxin Zhao, Leoncio Vergara, Aqeeb Sabree, Marta Iwanaszko, Tomasz Lipniacki, Allan R Brasier, Marek Kimmel

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Innate Immunity, Epithelial Plasticity, and Remodeling in Asthma.Advances in experimental medicine and biology · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Interferon-stimulated genes: new platforms and computational approaches.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Roberto BertolussoDepartment of Statistics, Rice University, Houston, Texas, United States of America.
Bing TianDepartment of Internal Medicine, University of Texas Medical Branch (UTMB), Galveston, Texas, United States of America.
Yingxin ZhaoDepartment of Internal Medicine, University of Texas Medical Branch (UTMB), Galveston, Texas, United States of America; Sealy Center for Molecular Medicine, UTMB, Galveston, Texas, United States of America; Institute for Translational Sciences, UTMB, Galveston, Texas, United States of America.
Leoncio VergaraCenter for Biomedical Engineering, UTMB, Galveston, Texas, United States of America.
Aqeeb SabreeDepartment of Statistics, Rice University, Houston, Texas, United States of America.
Marta IwanaszkoSystems Engineering Group, Silesian University of Technology, Gliwice, Poland.
Tomasz LipniackiInstitute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland.
Allan R BrasierDepartment of Internal Medicine, University of Texas Medical Branch (UTMB), Galveston, Texas, United States of America; Sealy Center for Molecular Medicine, UTMB, Galveston, Texas, United States of America; Institute for Translational Sciences, UTMB, Galveston, Texas, United States of America.
Marek KimmelDepartment of Statistics, Rice University, Houston, Texas, United States of America; Systems Engineering Group, Silesian University of Technology, Gliwice, Poland.
Rice University · USJohn Sealy Hospital · USInstitute of Fundamental Technological Research · PLSilesian University of Technology · PLThe University of Texas Medical Branch at Galveston · US

Funding

Virus, Tissue Culture and ImmunoassayP01AI062885 · NIAID · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI CASOLA, ANTONELLA · 2005 to 2022
$23.9M
Synthetic Organic Chemistry CoreP30ES006676 · NIEHS · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI ELFERINK, CORNELIS JOHAN · 1995 to 2017
$21.7M
UTMB Clinical and Translational Science AwardUL1TR000071 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRASIER, ALLAN R. · 2012 to 2014
$14.4M
Collaborative Research : Stochastic Modeling and Estimation of Gene TranscriptionR01GM086885 · NIGMS · RICE UNIVERSITY · PI KIMMEL, MAREK · 2008 to 2011
$1.7M
NCATS NIH HHS UL1TR000071NIAID NIH HHS AI062885NIAID NIH HHS P01 AI062885NIEHS NIH HHS P30 ES006676NIGMS NIH HHS GM086885NIGMS NIH HHS R01 GM086885PHS HHS NHLBI-HHSN268201000037C
6 · The paper itself

Abstract

We present an integrated dynamical cross-talk model of the epithelial innate immune response (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. Our model generates simulated time series, which reproduce the noisy oscillatory patterns of activity (with 1-3 hour period) observed in individual cells. Our work supports the hypothesis that the IIR is a phenomenon that emerged by evolution despite highly variable responses at an individual cell level.

Indexed as

Adaptor Proteins, Signal TransducingAnimalsCells, CulturedEpithelial CellsHumansImmunity, InnateInterferon Regulatory Factor-3Mice, KnockoutRNA, Double-StrandedToll-Like Receptor 3Transcription Factor RelAAdaptor Proteins, Signal TransducingInterferon Regulatory Factor-3IRF3 protein, humanIrf3 protein, mouseMAVS protein, humanMAVS protein, mouseRELA protein, humanRela protein, mouseRNA, Double-StrandedTLR3 protein, humanTLR3 protein, mouseToll-Like Receptor 3Transcription Factor RelA

Identifiers

PMID24710104
PMCPMC3977818
OpenAlexW1992176969

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.