Evidence map›Paper›PMID 29128333›Full record

ArticleCell systems2017

NF-κB Dynamics Discriminate between TNF Doses in Single Cells.

Qiuhong Zhang, Sanjana Gupta, David L Schipper, Gabriel J Kowalczyk, Allison E Mancini, James R Faeder, Robin E C Lee

Abstract read
In one paragraph

Article in Cell systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
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

57 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Autonomous Oscillations of NF-κB.Advances in experimental medicine and biology · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Single-nucleus proteomics identifies regulators of protein transport.bioRxiv : the preprint server for biology · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

7 authors.

Qiuhong ZhangDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Sanjana GuptaDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
David L SchipperDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Gabriel J KowalczykDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Allison E ManciniDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
James R FaederDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Robin E C LeeDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA. Electronic address: robinlee@pitt.edu.

Funding

TrainingP41GM103712 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FAEDER, JAMES · 2012 to 2021
$16.3M
Equipment Supplement for 5R35GM119462: Deciphering dynamic signals in control of cell fate decisionsR35GM119462 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ROBIN E. C. · 2016 to 2025
$4.2M
NIGMS NIH HHS P41 GM103712NIGMS NIH HHS R35 GM119462
6 · The paper itself

Abstract

Although cytokine-dependent dynamics of nuclear factor κB (NF-κB) are known to encode information that regulates cell fate decisions, it is unclear whether single-cell responses are switch-like or encode more information about cytokine dose. Here, we measure the dynamic subcellular localization of NF-κB in response to a range of tumor necrosis factor (TNF) stimulation conditions to determine the prevailing mechanism of single-cell dose discrimination. Using an information theory formalism that accounts for signaling dynamics and non-responsive cell subpopulations, we find that the information transmission capacity of single cells exceeds that predicted from a switch-like response. Instead, we observe that NF-κB dynamics within single cells contain sufficient information to encode multiple, TNF-dependent cellular states, and have an activation threshold that varies across the population. By comparing single-cell responses to an internal, experimentally observed reference, we demonstrate that cells can grade responses to TNF across several orders of magnitude in concentration. This suggests that cells contain additional control points to fine-tune their cytokine responses beyond the decision to activate.

Indexed as

AnimalsCell NucleusCytokinesHumansImmunizationInformation TheoryModels, ImmunologicalNF-kappa BProtein TransportSignal TransductionSingle-Cell AnalysisTumor Necrosis Factor-alphaCytokinesNF-kappa BTumor Necrosis Factor-alphainformation theorylive-cell imagingNF-κBsignal transductionsingle cellTNFtranscription factor

Identifiers

PMID29128333
PMCPMC5746429

What OpenQuestion holds

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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.