Evidence map›Paper›PMID 38372750›Full record

ReviewCellular and molecular life sciences : CMLS2024

Cellular forgetting, desensitisation, stress and ageing in signalling networks. When do cells refuse to learn more?

Tamás Veres, Márk Kerestély, Borbála M Kovács, Dávid Keresztes, Klára Schulc, Erik Seitz, Zsolt Vassy, Dániel V Veres, Peter Csermely

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Molecular underpinnings of induced degenerative heterogeneity in the retinal pigment epithelium.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. 'Intelligent' proteins.Cellular and molecular life sciences : CMLS · 2025
    Review
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

9 authors.

Tamás Veres *Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
Márk Kerestély *Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
Borbála M KovácsDepartment of Molecular Biology, Semmelweis University, Budapest, Hungary.
Dávid KeresztesDepartment of Molecular Biology, Semmelweis University, Budapest, Hungary.
Klára SchulcDepartment of Molecular Biology, Semmelweis University, Budapest, Hungary.
Erik SeitzDepartment of Molecular Biology, Semmelweis University, Budapest, Hungary.
Zsolt VassyDepartment of Molecular Biology, Semmelweis University, Budapest, Hungary.
Dániel V VeresDepartment of Molecular Biology, Semmelweis University, Budapest, Hungary.
Peter CsermelyDepartment of Molecular Biology, Semmelweis University, Budapest, Hungary. csermely.peter@med.semmelweis-univ.hu.ORCID http://orcid.org/0000-0001-9234-0659

Funding

Hungarian Ministry of Innovation and Technology TKP2021-EGA-24Hungarian Science Foundation K131458
6 · The paper itself

Abstract

Recent findings show that single, non-neuronal cells are also able to learn signalling responses developing cellular memory. In cellular learning nodes of signalling networks strengthen their interactions e.g. by the conformational memory of intrinsically disordered proteins, protein translocation, miRNAs, lncRNAs, chromatin memory and signalling cascades. This can be described by a generalized, unicellular Hebbian learning process, where those signalling connections, which participate in learning, become stronger. Here we review those scenarios, where cellular signalling is not only repeated in a few times (when learning occurs), but becomes too frequent, too large, or too complex and overloads the cell. This leads to desensitisation of signalling networks by decoupling signalling components, receptor internalization, and consequent downregulation. These molecular processes are examples of anti-Hebbian learning and 'forgetting' of signalling networks. Stress can be perceived as signalling overload inducing the desensitisation of signalling pathways. Ageing occurs by the summative effects of cumulative stress downregulating signalling. We propose that cellular learning desensitisation, stress and ageing may be placed along the same axis of more and more intensive (prolonged or repeated) signalling. We discuss how cells might discriminate between repeated and unexpected signals, and highlight the Hebbian and anti-Hebbian mechanisms behind the fold-change detection in the NF-κB signalling pathway. We list drug design methods using Hebbian learning (such as chemically-induced proximity) and clinical treatment modalities inducing (cancer, drug allergies) desensitisation or avoiding drug-induced desensitisation. A better discrimination between cellular learning, desensitisation and stress may open novel directions in drug design, e.g. helping to overcome drug resistance.

Indexed as

LearningSignal TransductionChromatinNF-kappa BChromatinNF-kappa BAllergyAsthmaDiabetesHabituationHeart failureHeat shockIncoherent type-1 feed-forward loopMetabolonMnemonPrionProtein translocationReceptor downregulationScaffold proteins

Identifiers

PMID38372750
PMCPMC10876757

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.