Evidence map›Paper›PMID 30222104›Full record

ArticleeLife2018

Signaling pathways as linear transmitters.

Harry Nunns, Lea Goentoro

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Design patterns of biological cells.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Dynamics and Sensitivity of Signaling Pathways.Current pathobiology reports · 2022
    Article
  12. Article
  13. Review
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Harry NunnsDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.ORCID 0000-0002-9669-0039
Lea GoentoroDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.ORCID 0000-0002-3904-0195

Funding

PREDOCTORAL TRAINING IN BIOLOGY AND CHEMISTRYT32GM007616 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI STERNBERG, PAUL WARREN · 1985 to 2019
$22.9M
Relative perception in Wnt signalingDP2OD008471 · OD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GOENTORO, LEA · 2011 to 2011
$2.5M
NIGMS NIH HHS T32 GM007616NIH HHS 5T32GM007616-37NIH HHS DP2 OD008471
6 · The paper itself

Abstract

One challenge in biology is to make sense of the complexity of biological networks. A good system to approach this is signaling pathways, whose well-characterized molecular details allow us to relate the internal processes of each pathway to their input-output behavior. In this study, we analyzed mathematical models of three metazoan signaling pathways: the canonical Wnt, MAPK/ERK, and Tgfβ pathways. We find an unexpected convergence: the three pathways behave in some physiological contexts as linear signal transmitters. Testing the results experimentally, we present direct measurements of linear input-output behavior in the Wnt and ERK pathways. Analytics from each model further reveal that linearity arises through different means in each pathway, which we tested experimentally in the Wnt and ERK pathways. Linearity is a desired property in engineering where it facilitates fidelity and superposition in signal transmission. Our findings illustrate how cells tune different complex networks to converge on the same behavior.

Indexed as

Cell Physiological PhenomenaModels, TheoreticalProtein Interaction MapsSignal TransductionAnimalscell biologycomputational biologyhuman cell lineslinearitysignaling pathwayssignal transmissionsystems biology

Identifiers

PMID30222104
PMCPMC6202053

What OpenQuestion holds

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Registered trials

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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.