Evidence map›Paper›PMID 28131824›Full record

ArticleCell systems2017

A Dynamic Model of Immune Responses to Antigen Presentation Predicts Different Regions of Tumor or Pathogen Elimination.

Eduardo D Sontag

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 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Cumulative dose responses for adapting biological systems.Journal of the Royal Society, Interface · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Reuniting philosophy and science to advance cancer research.Biological reviews of the Cambridge Philosophical Society · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Fighting microbial pathogens by integrating host ecosystem interactions and evolution.BioEssays : news and reviews in molecular, cellular and developmental biology · 2021
    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

1 author.

Eduardo D SontagDepartment of Mathematics and Center for Quantitative Biology, Rutgers University, New Brunswick, NJ 08903, USA. Electronic address: eduardo.sontag@rutgers.edu.

Funding

Transient behaviors of adapting biological systemsR01GM100473 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI SONTAG, EDUARDO · 2011 to 2014
$1.6M
NIGMS NIH HHS R01 GM100473
6 · The paper itself

Abstract

The immune system must discriminate between agents of disease and an organism's healthy cells. While the identification of an antigen as self/non-self is critically important, the dynamic features of antigen presentation may also determine the immune system's response. Here, we use a simple mathematical model of immune activation to explore the idea of antigen discrimination through dynamics. We propose that antigen presentation is coupled to two nodes, one regulatory and one effecting the immune response, through an incoherent feedforward loop and repressive feedback. This circuit would allow the immune system to effectively estimate the increase of antigens with respect to time, a key determinant of immune reactivity in vivo. Our model makes the prediction that tumors growing at specific rates evade the immune system despite the continuous presence of antigens indicating disease, a phenomenon closely related to clinically observed "two-zone tolerance." Finally, we discuss a plausible biological instantiation of our circuit using combinations of regulatory and effector T cells.

Indexed as

Antigen PresentationModels, BiologicalAntigens, NeoplasmCD8-Positive T-LymphocytesHumansNeoplasmsT-Lymphocytes, RegulatoryAntigens, Neoplasm

Identifiers

PMID28131824
PMCPMC5323365

What OpenQuestion holds

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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.