Evidence map›Paper›PMID 20359356›Full record

ArticleBMC systems biology2010

Stochastic modeling of B lymphocyte terminal differentiation and its suppression by dioxin.

Qiang Zhang, Sudin Bhattacharya, Douglas E Kline, Robert B Crawford, Rory B Conolly, Russell S Thomas, Norbert E Kaminski, Melvin E Andersen

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Embracing Systems Toxicology at Single-Cell Resolution.Current opinion in toxicology · 2019
    Article
  3. Dynamical systems approaches to personalized medicine.Current opinion in biotechnology · 2019
    Review
  4. Kinetic models of hematopoietic differentiation.Wiley interdisciplinary reviews. Systems biology and medicine · 2019
    Review
  5. Bridging the Data Gap FromFrontiers in public health · 2018
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

8 authors at 4 institutions in 1 country.

Qiang ZhangDivision of Computational Biology, The Hamner Institutes for Health Sciences, Research Triangle Park, NC 27709, USA. qzhang@thehamner.org
Sudin Bhattacharya
Douglas E Kline
Robert B Crawford
Rory B Conolly
Russell S Thomas
Norbert E Kaminski
Melvin E Andersen
Michigan State University · USResearch Triangle Park Foundation · USEnvironmental Protection Agency · USThe Hamner Institutes for Health Sciences · US

Funding

VOLATILE ORGANIC CONTAMINANTS--QUANTIFYING THEIR MOVEMENT IN THE UNSATURATED ZONEP42ES004911 · NIEHS · MICHIGAN STATE UNIVERSITY · PI Timothy R. Zacharewski · 1989 to 2026
$64.9M
NIEHS NIH HHS P42 ES004911NIEHS NIH HHS P42ES04911
6 · The paper itself

Abstract

backgroundUpon antigen encounter, naïve B lymphocytes differentiate into antibody-secreting plasma cells. This humoral immune response is suppressed by the environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and other dioxin-like compounds, which belong to the family of aryl hydrocarbon receptor (AhR) agonists.

resultsTo achieve a better understanding of the immunotoxicity of AhR agonists and their associated health risks, we have used computer simulations to study the behavior of the gene regulatory network underlying B cell terminal differentiation. The core of this network consists of two coupled double-negative feedback loops involving transcriptional repressors Bcl-6, Blimp-1, and Pax5. Bifurcation analysis indicates that the feedback network can constitute a bistable system with two mutually exclusive transcriptional profiles corresponding to naïve B cells and plasma cells. Although individual B cells switch to the plasma cell state in an all-or-none fashion when stimulated by the polyclonal activator lipopolysaccharide (LPS), stochastic fluctuations in gene expression make the switching event probabilistic, leading to heterogeneous differentiation response among individual B cells. Moreover, stochastic gene expression renders the dose-response behavior of a population of B cells substantially graded, a result that is consistent with experimental observations. The steepness of the dose response curve for the number of plasma cells formed vs. LPS dose, as evaluated by the apparent Hill coefficient, is found to be inversely correlated to the noise level in Blimp-1 gene expression. Simulations illustrate how, through AhR-mediated repression of the AP-1 protein, TCDD reduces the probability of LPS-stimulated B cell differentiation. Interestingly, stochastic simulations predict that TCDD may destabilize the plasma cell state, possibly leading to a reversal to the B cell phenotype.

conclusionOur results suggest that stochasticity in gene expression, which renders a graded response at the cell population level, may have been exploited by the immune system to launch humoral immune response of a magnitude appropriately tuned to the antigen dose. In addition to suppressing the initiation of the humoral immune response, dioxin-like compounds may also disrupt the maintenance of the acquired immunity.

Indexed as

AnimalsB-LymphocytesCell DifferentiationDioxinsEnzyme-Linked Immunosorbent AssayFemaleGene Expression ProfilingHumansImmunoglobulin MLipopolysaccharidesMicePolychlorinated DibenzodioxinsReceptors, Aryl HydrocarbonStochastic ProcessesSystems BiologyDioxinsImmunoglobulin MLipopolysaccharidesPolychlorinated DibenzodioxinsReceptors, Aryl Hydrocarbon

Identifiers

PMID20359356
PMCPMC2859749
OpenAlexW2022406812

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.