Evidence map›Paper›PMID 30356330›Full record

ArticlePloS one2018

Mathematical modeling identifies Lck as a potential mediator for PD-1 induced inhibition of early TCR signaling.

Theinmozhi Arulraj, Debashis Barik

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-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

12 citing papers in PubMed, 24 citations in OpenAlex.

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  10. Modeling immune cell behavior across scales in cancer.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
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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

2 authors at 1 institution in 1 country.

Theinmozhi ArulrajCentre for Systems Biology, School of Life Sciences, University of Hyderabad, Central University P.O., Hyderabad, Telangana, India.
Debashis BarikSchool of Chemistry, University of Hyderabad, Central University P.O., Hyderabad, Telangana, India.ORCID 0000-0003-1681-1273
University of Hyderabad · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmed cell death-1 (PD-1) is an inhibitory immune checkpoint receptor that negatively regulates the functioning of T cell. Although the direct targets of PD-1 were not identified, its inhibitory action on the TCR signaling pathway was known much earlier. Recent experiments suggest that the PD-1 inhibits the TCR and CD28 signaling pathways at a very early stage ─ at the level of phosphorylation of the cytoplasmic domain of TCR and CD28 receptors. Here, we develop a mathematical model to investigate the influence of inhibitory effect of PD-1 on the activation of early TCR and CD28 signaling molecules. Proposed model recaptures several quantitative experimental observations of PD-1 mediated inhibition. Model simulations show that PD-1 imposes a net inhibitory effect on the Lck kinase. Further, the inhibitory effect of PD-1 on the activation of TCR signaling molecules such as Zap70 and SLP76 is significantly enhanced by the PD-1 mediated inhibition of Lck. These results suggest a critical role for Lck as a mediator for PD-1 induced inhibition of TCR signaling network. Multi parametric sensitivity analysis explores the effect of parameter uncertainty on model simulations.

Indexed as

AlgorithmsModels, ImmunologicalCD28 AntigensComputer SimulationHumansLymphocyte Specific Protein Tyrosine Kinase p56(lck)Programmed Cell Death 1 ReceptorReceptors, Antigen, T-CellSignal TransductionCD28 AntigensLymphocyte Specific Protein Tyrosine Kinase p56(lck)PDCD1 protein, humanProgrammed Cell Death 1 ReceptorReceptors, Antigen, T-Cell

Identifiers

PMID30356330
PMCPMC6200280
OpenAlexW2898535519

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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.