Evidence map›Paper›PMID 30462580›Full record

ArticleMolecular biology of the cell2019

Combinatorial processing of bacterial and host-derived innate immune stimuli at the single-cell level.

Miriam V Gutschow, John C Mason, Keara M Lane, Inbal Maayan, Jacob J Hughey, Bryce T Bajar, Debha N Amatya, Sean D Valle, Markus W Covert

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Autonomous Oscillations of NF-κB.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

9 authors.

Miriam V GutschowDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
John C MasonDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Keara M LaneDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Inbal MaayanDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Jacob J HugheyDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Bryce T BajarDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Debha N AmatyaDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Sean D ValleDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Markus W CovertDepartment of Bioengineering, Stanford University, Stanford, CA 94305.

Funding

TRAINING & OUTREACH COREP50GM107615 · NIGMS · STANFORD UNIVERSITY · PI FERRELL, JAMES E. · 2013 to 2017
$10.9M
New methods for monitoring the immune system, in individual cells and in vivoR21AI104305 · NIAID · STANFORD UNIVERSITY · PI COVERT, MARKUS W · 2012 to 2013
$439k
NIAID NIH HHS 5R21AI104305-02NIGMS NIH HHS P50 GM107615
6 · The paper itself

Abstract

During the course of a bacterial infection, cells are exposed simultaneously to a range of bacterial and host factors, which converge on the central transcription factor nuclear factor (NF)-κB. How do single cells integrate and process these converging stimuli? Here we tackle the question of how cells process combinatorial signals by making quantitative single-cell measurements of the NF-κB response to combinations of bacterial lipopolysaccharide and the stress cytokine tumor necrosis factor. We found that cells encode the presence of both stimuli via the dynamics of NF-κB nuclear translocation in individual cells, suggesting the integration of NF-κB activity for these stimuli occurs at the molecular and pathway level. However, the gene expression and cytokine secretion response to combinatorial stimuli were more complex, suggesting that other factors in addition to NF-κB contribute to signal integration at downstream layers of the response. Taken together, our results support the theory that during innate immune threat assessment, a pathogen recognized as both foreign and harmful will recruit an enhanced immune response. Our work highlights the remarkable capacity of individual cells to process multiple input signals and suggests that a deeper understanding of signal integration mechanisms will facilitate efforts to control dysregulated immune responses.

Indexed as

Immunity, InnateSingle-Cell Analysis3T3 CellsAnimalsBacteriaCytokinesGene Expression RegulationHost-Pathogen InteractionsLipopolysaccharidesMiceNF-kappa BCytokinesLipopolysaccharidesNF-kappa B

Identifiers

PMID30462580
PMCPMC6589564

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.