Evidence map›Paper›PMID 25538703›Full record

ArticleFrontiers in immunology2014

Design, Assessment, and in vivo Evaluation of a Computational Model Illustrating the Role of CAV1 in CD4(+) T-lymphocytes.

Brittany D Conroy, Tyler A Herek, Timothy D Shew, Matthew Latner, Joshua J Larson, Laura Allen, Paul H Davis, Tomáš Helikar, Christine E Cutucache

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2014. 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
0.8field-weighted citation impact, top 31% 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. Review
  2. Article
  3. Article
  4. Boolean network modeling in systems pharmacology.Journal of pharmacokinetics and pharmacodynamics · 2018
    Review
  5. Article
  6. Review
  7. Article
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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

9 authors at 2 institutions in 1 country.

Brittany D ConroyDepartment of Biology, University of Nebraska at Omaha , Omaha, NE , USA.
Tyler A HerekDepartment of Biology, University of Nebraska at Omaha , Omaha, NE , USA.
Timothy D ShewDepartment of Biology, University of Nebraska at Omaha , Omaha, NE , USA.
Matthew LatnerDepartment of Biology, University of Nebraska at Omaha , Omaha, NE , USA.
Joshua J LarsonDepartment of Biology, University of Nebraska at Omaha , Omaha, NE , USA.
Laura AllenDepartment of Biology, University of Nebraska at Omaha , Omaha, NE , USA.
Paul H DavisDepartment of Biology, University of Nebraska at Omaha , Omaha, NE , USA.
Tomáš HelikarDepartment of Biochemistry, University of Nebraska at Lincoln , Lincoln, NE , USA.
Christine E CutucacheDepartment of Biology, University of Nebraska at Omaha , Omaha, NE , USA.
University of Nebraska at Omaha · USUniversity of Nebraska–Lincoln · US

Funding

UNMC Structural Biology CoreP20GM103427 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Heather Colleen Jensen-Smith · 2012 to 2026
$59.2M
NIGMS NIH HHS P20 GM103427
6 · The paper itself

Abstract

Caveolin-1 (CAV1) is a vital scaffold protein heterogeneously expressed in both healthy and malignant tissue. We focus on the role of CAV1 when overexpressed in T-cell leukemia. Previously, we have shown that CAV1 is involved in cell-to-cell communication, cellular proliferation, and immune synapse formation; however, the molecular mechanisms have not been elucidated. We hypothesize that the role of CAV1 in immune synapse formation contributes to immune regulation during leukemic progression, thereby warranting studies of the role of CAV1 in CD4(+) T-cells in relation to antigen-presenting cells. To address this need, we developed a computational model of a CD4(+) immune effector T-cell to mimic cellular dynamics and molecular signaling under healthy and immunocompromised conditions (i.e., leukemic conditions). Using the Cell Collective computational modeling software, the CD4(+) T-cell model was constructed and simulated under CAV1 (+/+), CAV1 (+/-), and CAV1 (-/-) conditions to produce a hypothetical immune response. This model allowed us to predict and examine the heterogeneous effects and mechanisms of CAV1 in silico. Experimental results indicate a signature of molecules involved in cellular proliferation, cell survival, and cytoskeletal rearrangement that were highly affected by CAV1 knock out. With this comprehensive model of a CD4(+) T-cell, we then validated in vivo protein expression levels. Based on this study, we modeled a CD4(+) T-cell, manipulated gene expression in immunocompromised versus competent settings, validated these manipulations in an in vivo murine model, and corroborated acute T-cell leukemia gene expression profiles in human beings. Moreover, we can model an immunocompetent versus an immunocompromised microenvironment to better understand how signaling is regulated in patients with leukemia.

Indexed as

adult T-cell leukemiacaveolin-1CD4+ T-lymphocytecomputational biologyimmunosuppressionimmunotherapylogical modelsthe cell collective

Identifiers

PMID25538703
PMCPMC4257089
OpenAlexW2070040687

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.