Evidence map›Paper›PMID 21921160›Full record

ArticleScience (New York, N.Y.)2011

Information transduction capacity of noisy biochemical signaling networks.

Raymond Cheong, Alex Rhee, Chiaochun Joanne Wang, Ilya Nemenman, Andre Levchenko

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 269 papers.

0numbers the graph read from it
0cells of the map it votes in
269citing 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

269 citing papers in PubMed.

  1. Article
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  8. Review
  9. Article
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  11. Article
  12. Review
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  14. A novel information-theoretic approach reveals loss of effective biomolecular communication in aging muscle cells.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Why cellular computations challenge our design principles.Seminars in cell & developmental biology · 2025
    Review
  20. Article

209 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Raymond CheongDepartment of Biomedical Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA.
Alex Rhee
Chiaochun Joanne Wang
Ilya Nemenman
Andre Levchenko

Funding

TCP5: ACTIVE SITE LABELING REAGENT FOR ACETYLTRANSFERASESU54RR020839 · NCRR · JOHNS HOPKINS UNIVERSITY · PI BOEKE, JEF D · 2004 to 2011
$27.4M
Information tranfer in NF-kappaB and MAPK pathwaysR01GM072024 · NIGMS · YALE UNIVERSITY · PI LEVCHENKO, ANDRE · 2004 to 2019
$3.9M
Differential metabolic network analysis of tumor progressionR01CA132629 · NCI · UNIVERSITY OF NEW MEXICO · PI FREYER, JAMES P · 2007 to 2011
$1.9M
NCI NIH HHS CA132629NCRR NIH HHS RR020839NIGMS NIH HHS GM072024NIGMS NIH HHS R01 GM072024
6 · The paper itself

Abstract

Molecular noise restricts the ability of an individual cell to resolve input signals of different strengths and gather information about the external environment. Transmitting information through complex signaling networks with redundancies can overcome this limitation. We developed an integrative theoretical and experimental framework, based on the formalism of information theory, to quantitatively predict and measure the amount of information transduced by molecular and cellular networks. Analyzing tumor necrosis factor (TNF) signaling revealed that individual TNF signaling pathways transduce information sufficient for accurate binary decisions, and an upstream bottleneck limits the information gained via multiple integrated pathways. Negative feedback to this bottleneck could both alleviate and enhance its limiting effect, despite decreasing noise. Bottlenecks likewise constrain information attained by networks signaling through multiple genes or cells.

Indexed as

Signal Transduction3T3 CellsActivating Transcription Factor 2AnimalsCell NucleusCysteine EndopeptidasesFeedback, PhysiologicalGene ExpressionGenes, ReporterInformation TheoryIntracellular Signaling Peptides and ProteinsMetabolic Networks and PathwaysMiceModels, BiologicalNF-kappa BPlatelet-Derived Growth FactorActivating Transcription Factor 2Cysteine EndopeptidasesIntracellular Signaling Peptides and ProteinsNF-kappa BPlatelet-Derived Growth FactorTnfaip3 protein, mouseTumor Necrosis Factor-alphaTumor Necrosis Factor alpha-Induced Protein 3

Identifiers

PMID21921160
PMCPMC3895446

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.