Evidence map›Paper›PMID 22435558›Full record

ReviewImmunological reviews2012

Lessons from mathematically modeling the NF-κB pathway.

Soumen Basak, Marcelo Behar, Alexander Hoffmann

Abstract readReview
In one paragraph

Review in Immunological reviews, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
–field-weighted citation impact
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

82 citing papers in PubMed.

  1. Article
  2. Article
  3. A Suite of EightbioRxiv : the preprint server for biology · 2026
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  7. Review
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  17. Review
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22 more citing papers are in PubMed but not listed here.

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

3 authors.

Soumen BasakSystems Immunology Laboratory, National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi, India.
Marcelo Behar
Alexander Hoffmann

Funding

SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WINZELER, ELIZABETH A · 2010 to 2018
$23.3M
IKK:Biophysical basis of dynamic regulationR01CA141722 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, GOURISANKAR, HOFFMANN, ALEXANDER · 2009 to 2013
$2.7M
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 CA141722NCI NIH HHS R01 CA141722NIAID NIH HHS AI08345NIAID NIH HHS R01 AI083453NIGMS NIH HHS GM071573NIGMS NIH HHS P50 GM085764NIGMS NIH HHS R01 GM071573Wellcome Trust
6 · The paper itself

Abstract

Mathematical modeling has proved to be a critically important approach in the study of many complex networks and dynamic systems in physics, engineering, chemistry, and biology. The nuclear factor κB (NF-κB) system consists of more than 50 proteins and protein complexes and is both a highly networked and dynamic system. To date, mathematical modeling has only addressed a small fraction of the molecular species and their regulation, but when employed in conjunction with experimental analysis has already led to important insights. Here, we provide a personal account of studying how the NF-κB signaling system functions using mathematical descriptions of the molecular mechanisms. We focus on the insights gained about some of the key regulatory components: the control of the steady state, the signaling dynamics, and signaling crosstalk. We also discuss the biological relevance of these regulatory systems properties.

Indexed as

Models, BiologicalSignal TransductionAnimalsHumansNF-kappa BNF-kappa B p50 SubunitTranscription Factor RelANF-kappa BNF-kappa B p50 SubunitTranscription Factor RelA

Identifiers

PMID22435558
PMCPMC3343698

What OpenQuestion holds

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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.