Evidence map›Paper›PMID 28652282›Full record

ArticleMolecular systems biology2017

Biphasic response as a mechanism against mutant takeover in tissue homeostasis circuits.

Omer Karin, Uri Alon

Abstract read
In one paragraph

Article in Molecular systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Matters of life and death in computational cell biology.NPJ systems biology and applications · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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  10. A Mechanism for Ovulation Number Control.Frontiers in endocrinology · 2022
    Article
  11. Review
  12. Design patterns for engineering genetic stability.Current opinion in biomedical engineering · 2021
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

2 authors.

Omer KarinDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0002-9426-5362
Uri AlonDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel uri.alon@weizmann.ac.il.ORCID 0000-0003-1121-5907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissues use feedback circuits in which cells send signals to each other to control their growth and survival. We show that such feedback circuits are inherently unstable to mutants that misread the signal level: Mutants have a growth advantage to take over the tissue, and cannot be eliminated by known cell-intrinsic mechanisms. To resolve this, we propose that tissues have biphasic responses in and the signal is toxic at both high and low levels, such as glucotoxicity of beta cells, excitotoxicity in neurons, and toxicity of growth factors to T cells. This gives most of these mutants a frequency-dependent selective disadvantage, which leads to their elimination. However, the biphasic mechanisms create a new unstable fixed point in the feedback circuit beyond which runaway processes can occur, leading to risk of diseases such as diabetes and neurodegenerative disease. Hence, glucotoxicity, which is a dangerous cause of diabetes, may have a protective anti-mutant effect. Biphasic responses in tissues may provide an evolutionary stable strategy that avoids invasion by commonly occurring mutants, but at the same time cause vulnerability to disease.

Indexed as

Stem CellsSystems BiologyCalciumHomeostasisHumansModels, TheoreticalNeuronsCalciumcalcium homeostasisdesign principlesevolutionary dynamicsmathematical models of diseasestem‐cell homeostasistissue homeostasis

Identifiers

PMID28652282
PMCPMC5488663

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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.