Evidence map›Paper›PMID 25680807›Full record

ArticleMolecular systems biology2015

A multi-scale approach reveals that NF-κB cRel enforces a B-cell decision to divide.

Maxim N Shokhirev, Jonathan Almaden, Jeremy Davis-Turak, Harry A Birnbaum, Theresa M Russell, Jesse A D Vargas, Alexander Hoffmann

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

23 citing papers in PubMed, 35 citations in OpenAlex.

  1. Computational modelling of aggressive B-cell lymphoma.Biochemical Society transactions · 2025
    Review
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  5. Direct observation correlates NFκB cRel in B cells with activating and terminating their proliferative program.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  16. Polypyrimidine tract-binding protein blocks miRNA-124 biogenesis to enforce its neuronal-specific expression in the mouse.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  17. Identifying Noise Sources governing cell-to-cell variability.Current opinion in systems biology · 2018
    Article
  18. Nongenetic origins of cell-to-cell variability in B lymphocyte proliferation.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  19. 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

7 authors at 3 institutions in 1 country.

Maxim N ShokhirevDepartment of Chemistry and Biochemistry, Signaling Systems Laboratory, UCSD, La Jolla, CA, USA San Diego Center for Systems Biology, UCSD, La Jolla, CA, USA Bioinformatics and Systems Biology Graduate Program, UCSD, La Jolla, CA, USA.
Jonathan AlmadenDepartment of Chemistry and Biochemistry, Signaling Systems Laboratory, UCSD, La Jolla, CA, USA Biological Sciences Graduate Program, UCSD, La Jolla, CA, USA.
Jeremy Davis-TurakDepartment of Chemistry and Biochemistry, Signaling Systems Laboratory, UCSD, La Jolla, CA, USA San Diego Center for Systems Biology, UCSD, La Jolla, CA, USA Bioinformatics and Systems Biology Graduate Program, UCSD, La Jolla, CA, USA.
Harry A BirnbaumDepartment of Chemistry and Biochemistry, Signaling Systems Laboratory, UCSD, La Jolla, CA, USA San Diego Center for Systems Biology, UCSD, La Jolla, CA, USA Institute for Quantitative and Computational Biosciences, Los Angeles, CA, USA Department of Microbiology, Immunology and Molecular Genetics, UCLA, Los Angeles, CA, USA.
Theresa M RussellFluidigm Corporation, South San Francisco, CA, USA.
Jesse A D VargasDepartment of Chemistry and Biochemistry, Signaling Systems Laboratory, UCSD, La Jolla, CA, USA San Diego Center for Systems Biology, UCSD, La Jolla, CA, USA Institute for Quantitative and Computational Biosciences, Los Angeles, CA, USA Department of Microbiology, Immunology and Molecular Genetics, UCLA, Los Angeles, CA, USA.
Alexander HoffmannDepartment of Chemistry and Biochemistry, Signaling Systems Laboratory, UCSD, La Jolla, CA, USA San Diego Center for Systems Biology, UCSD, La Jolla, CA, USA Institute for Quantitative and Computational Biosciences, Los Angeles, CA, USA Department of Microbiology, Immunology and Molecular Genetics, UCLA, Los Angeles, CA, USA ahoffmann@ucla.edu.
University of California, San Diego · USCenter for Systems Biology · USQuantitative BioSciences · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, IDEKER, TREY · 2010 to 2018
$23.3M
Regulation of signaling via the lkB-NF-kB interactionR01GM071573 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HOFFMANN, ALEXANDER · 2005 to 2013
$2.2M
The NF-kB signaling system as a regulator of B-cell activationR01AI083453 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HOFFMANN, ALEXANDER · 2010 to 2014
$1.7M
NCI NIH HHS P30 CA016042NIAID NIH HHS R01 AI083453NIGMS NIH HHS P50 GM085764NIGMS NIH HHS R01 GM071573
6 · The paper itself

Abstract

Understanding the functions of multi-cellular organs in terms of the molecular networks within each cell is an important step in the quest to predict phenotype from genotype. B-lymphocyte population dynamics, which are predictive of immune response and vaccine effectiveness, are determined by individual cells undergoing division or death seemingly stochastically. Based on tracking single-cell time-lapse trajectories of hundreds of B cells, single-cell transcriptome, and immunofluorescence analyses, we constructed an agent-based multi-modular computational model to simulate lymphocyte population dynamics in terms of the molecular networks that control NF-κB signaling, the cell cycle, and apoptosis. Combining modeling and experimentation, we found that NF-κB cRel enforces the execution of a cellular decision between mutually exclusive fates by promoting survival in growing cells. But as cRel deficiency causes growing B cells to die at similar rates to non-growing cells, our analysis reveals that the phenomenological decision model of wild-type cells is rooted in a biased race of cell fates. We show that a multi-scale modeling approach allows for the prediction of dynamic organ-level physiology in terms of intra-cellular molecular networks.

Indexed as

Cell DivisionAnimalsApoptosisB-LymphocytesCell ProliferationMiceModels, MolecularNF-kappa BProto-Oncogene Proteins c-relSequence Analysis, RNASignal TransductionSpleenNF-kappa BProto-Oncogene Proteins c-relapoptosisB‐lymphocytecell cyclecell fate decisionNF‐κB cRel

Identifiers

PMID25680807
PMCPMC4358656
OpenAlexW2110854762

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.