Evidence map›Paper›PMID 27535120›Full record

ArticleBMC systems biology2016

IL-2 sensitivity and exogenous IL-2 concentration gradient tune the productive contact duration of CD8(+) T cell-APC: a multiscale modeling study.

Xuefeng Gao, Christophe Arpin, Jacqueline Marvel, Sotiris A Prokopiou, Olivier Gandrillon, Fabien Crauste

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. CD8Journal for immunotherapy of cancer · 2021
    Article
  5. Modeling immune cell behavior across scales in cancer.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  6. Article
  7. Article
  8. 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

6 authors at 2 institutions in 1 country.

Xuefeng GaoInria team Dracula, Inria Antenne Lyon la Doua, Bâtiment CEI-2, 56 Boulevard Niels Bohr, 69603, Villeurbanne cedex, France.
Christophe ArpinInserm, U1111, Lyon, F-69007, France.
Jacqueline MarvelInserm, U1111, Lyon, F-69007, France.
Sotiris A ProkopiouInria team Dracula, Inria Antenne Lyon la Doua, Bâtiment CEI-2, 56 Boulevard Niels Bohr, 69603, Villeurbanne cedex, France.
Olivier GandrillonInria team Dracula, Inria Antenne Lyon la Doua, Bâtiment CEI-2, 56 Boulevard Niels Bohr, 69603, Villeurbanne cedex, France. olivier.gandrillon@ens-lyon.fr.
Fabien CrausteInria team Dracula, Inria Antenne Lyon la Doua, Bâtiment CEI-2, 56 Boulevard Niels Bohr, 69603, Villeurbanne cedex, France. crauste@math.univ-lyon1.fr.
Institut national de recherche en sciences et technologies du numérique · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe CD8(+) T cell immune response fights acute infections by intracellular pathogens and, by generating an immune memory, enables immune responses against secondary infections. Activation of the CD8(+) T cell immune response involves a succession of molecular events leading to modifications of CD8(+) T cell population. To understand the endogenous and exogenous mechanisms controlling the activation of CD8(+) T cells and to investigate the influence of early molecular events on the long-term cell population behavior, we developed a multiscale computational model. It integrates three levels of description: a Cellular Potts model describing the individual behavior of CD8(+) T cells, a system of ordinary differential equations describing a decision-making molecular regulatory network at the intracellular level, and a partial differential equation describing the diffusion of IL-2 in the extracellular environment.

resultsWe first calibrated the model parameters based on in vivo data and showed the model's ability to reproduce early dynamics of CD8(+) T cells in murine lymph nodes after influenza infection, both at the cell population and intracellular levels. We then showed the model's ability to reproduce the proliferative responses of CD5(hi) and CD5(lo) CD8(+) T cells to exogenous IL-2 under a weak TCR stimulation. This stressed the role of short-lasting molecular events and the relevance of explicitly describing both intracellular and cellular scale dynamics. Our results suggest that the productive contact duration of CD8(+) T cell-APC is influenced by the sensitivity of individual CD8(+) T cells to the activation signal and by the IL-2 concentration in the extracellular environment.

conclusionsThe multiscale nature of our model allows the reproduction and explanation of some acquired characteristics and functions of CD8(+) T cells, and of their responses to multiple stimulation conditions, that would not be accessible in a classical description of cell population dynamics that would not consider intracellular dynamics.

Indexed as

Models, BiologicalAnimalsAntigen-Presenting CellsCD8-Positive T-LymphocytesDiffusionDose-Response Relationship, DrugInterleukin-2MiceToll-Like ReceptorsInterleukin-2Toll-Like ReceptorsActivation thresholdCD8+ T cellsDifferentiation pathwayIL-2Multiscale modelingProductive contact duration

Identifiers

PMID27535120
PMCPMC4989479
OpenAlexW2514145607

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Registered trials

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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.