Evidence map›Paper›PMID 32696599›Full record

ArticleMolecular systems biology2020

Disentangling molecular mechanisms regulating sensitization of interferon alpha signal transduction.

Frédérique Kok, Marcus Rosenblatt, Melissa Teusel, Tamar Nizharadze, Vladimir Gonçalves Magalhães, Christopher Dächert, Tim Maiwald, Artyom Vlasov, Marvin Wäsch, Silvana Tyufekchieva and 8 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. drexml: A command line tool and Python package for drug repurposing.Computational and structural biotechnology journal · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Proofreading does not result in more reliable ligand discrimination in receptor signaling due to its inherent stochasticity.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Stochastic dynamics of Type-I interferon responses.PLoS computational biology · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 4 institutions in 1 country.

Frédérique Kok *Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-7855-1422
Marcus Rosenblatt *Institute of Physics, University of Freiburg, Freiburg, Germany.
Melissa Teusel *Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Tamar NizharadzeDivision Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0001-8292-6867
Vladimir Gonçalves MagalhãesResearch Group "Dynamics of Early Viral Infection and the Innate Antiviral Response", Division Virus-Associated Carcinogenesis, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-4593-3467
Christopher DächertFaculty of Biosciences, Heidelberg University, Heidelberg, Germany.
Tim MaiwaldInstitute of Physics, University of Freiburg, Freiburg, Germany.
Artyom VlasovDivision Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Marvin WäschDivision Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Silvana TyufekchievaDepartment of General, Visceral and Transplantation Surgery, Ruprecht Karls University Heidelberg, Heidelberg, Germany.
Katrin HoffmannDepartment of General, Visceral and Transplantation Surgery, Ruprecht Karls University Heidelberg, Heidelberg, Germany.
Georg DammDepartment of Hepatobiliary Surgery and Visceral Transplantation, University of Leipzig, Leipzig, Germany.
Daniel SeehoferDepartment of Hepatobiliary Surgery and Visceral Transplantation, University of Leipzig, Leipzig, Germany.
Tobias BoettlerDepartment of Medicine II, University Hospital Freiburg-Faculty of Medicine, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-1195-055X
Marco BinderResearch Group "Dynamics of Early Viral Infection and the Innate Antiviral Response", Division Virus-Associated Carcinogenesis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Jens Timmer *Institute of Physics, University of Freiburg, Freiburg, Germany.ORCID 0000-0003-4517-1383
Marcel Schilling *Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-9517-5166
Ursula Klingmüller *Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0001-9845-3099
German Cancer Research Center · DEUniversity of Freiburg · DEHeidelberg University · DELeipzig University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tightly interlinked feedback regulators control the dynamics of intracellular responses elicited by the activation of signal transduction pathways. Interferon alpha (IFNα) orchestrates antiviral responses in hepatocytes, yet mechanisms that define pathway sensitization in response to prestimulation with different IFNα doses remained unresolved. We establish, based on quantitative measurements obtained for the hepatoma cell line Huh7.5, an ordinary differential equation model for IFNα signal transduction that comprises the feedback regulators STAT1, STAT2, IRF9, USP18, SOCS1, SOCS3, and IRF2. The model-based analysis shows that, mediated by the signaling proteins STAT2 and IRF9, prestimulation with a low IFNα dose hypersensitizes the pathway. In contrast, prestimulation with a high dose of IFNα leads to a dose-dependent desensitization, mediated by the negative regulators USP18 and SOCS1 that act at the receptor. The analysis of basal protein abundance in primary human hepatocytes reveals high heterogeneity in patient-specific amounts of STAT1, STAT2, IRF9, and USP18. The mathematical modeling approach shows that the basal amount of USP18 determines patient-specific pathway desensitization, while the abundance of STAT2 predicts the patient-specific IFNα signal response.

Indexed as

Cell Line, TumorFeedback, PhysiologicalGene Expression RegulationHepatocytesHumansInterferon-alphaInterferon Regulatory Factor-2Interferon-Stimulated Gene Factor 3, gamma SubunitModels, TheoreticalRNA, Small InterferingSignal TransductionSoftwareSTAT1 Transcription FactorSTAT2 Transcription FactorSuppressor of Cytokine Signaling 1 ProteinSuppressor of Cytokine Signaling 3 ProteinInterferon-alphaInterferon Regulatory Factor-2Interferon-Stimulated Gene Factor 3, gamma SubunitIRF2 protein, humanIRF9 protein, humanRNA, Small InterferingSOCS1 protein, humanSOCS3 protein, humanSTAT1 protein, humanSTAT1 Transcription FactorSTAT2 protein, humanSTAT2 Transcription FactorSuppressor of Cytokine Signaling 1 ProteinSuppressor of Cytokine Signaling 3 ProteinUbiquitin ThiolesteraseUSP18 protein, humandynamic pathway modelingfeedback controlinterferonpersonalized treatmentsignal transduction

Identifiers

PMID32696599
PMCPMC7373899
OpenAlexW3044545252

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.