Evidence map›Paper›PMID 41707849›Full record

ArticleMolecular & cellular proteomics : MCP2026

Cell-State-Specific Drug Responses are Associated With Differences in Signaling Network Wiring.

Niels Krämer, Roderick van Eijl, Tim Stohn, Sabine Tanis, Lodewyk Fa Wessels, Evert Bosdriesz, Klaas W Mulder

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Niels KrämerRadboud Institute for Molecular Life Sciences, Faculty of Science, Department of Molecular Developmental Biology, Radboud University, Nijmegen, the Netherlands.
Roderick van EijlRadboud Institute for Molecular Life Sciences, Faculty of Science, Department of Molecular Developmental Biology, Radboud University, Nijmegen, the Netherlands.
Tim StohnDepartment of Computer Science, Vrije Universiteit, Amsterdam, the Netherlands; Department of Molecular Carcinogenesis, Netherlands Cancer Institute, Amsterdam, the Netherlands and the Oncode Institute.
Sabine TanisRadboud Institute for Molecular Life Sciences, Faculty of Science, Department of Molecular Developmental Biology, Radboud University, Nijmegen, the Netherlands.
Lodewyk Fa WesselsDepartment of Molecular Carcinogenesis, Netherlands Cancer Institute, Amsterdam, the Netherlands and the Oncode Institute.
Evert BosdrieszDepartment of Computer Science, Vrije Universiteit, Amsterdam, the Netherlands. Electronic address: e.bosdriesz@vu.nl.
Klaas W MulderRadboud Institute for Molecular Life Sciences, Faculty of Science, Department of Molecular Developmental Biology, Radboud University, Nijmegen, the Netherlands. Electronic address: k.mulder@science.ru.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracellular signaling pathways form networks through which information is transmitted, often in the form of kinase-mediated phosphorylation events, to interpret extracellular signals and elicit appropriate cellular responses. Yet, even isogenic cells in a homogenous environment show heterogeneity in their intracellular "cell-state", as well as their response to extracellular signals. Here, we aimed to better understand this relation between these phenomena by investigating how information flows through the EGF-receptor centered network upon targeted drug treatment, and how this is affected by cell-to-cell-state differences. Using single-cell ID-seq, we profiled the cell-state and signaling activity in primary human epidermal stem cells by measuring 69 (phospho-)proteins upon inhibition of the Erk/MAPK (p90RSK) and Akt/mTOR (p70S6K) routes downstream of the EGF pathway. We found that the effects of drug treatment propagated from the EGF-signaling pathway to other connected parts of the cellular signaling network, indicating altered signaling flow. We identified nine distinct cell-states that show pervasive state-dependent drug-responses for many (phospho-)proteins. Computational modeling of the signaling network using single-cell Comparative Network Reconstruction showed that many interactions between phospho-proteins (i.e. network wiring) were quantitatively different between cell-states. Furthermore, (phospho-)proteins with a cell-state dependent drug response, were more likely to be involved in interactions that showed a cell-state dependent strength. Overall, our results indicate that drug treatment response and signaling interactions between proteins are closely related and modulated by cell-state.

Indexed as

Signal TransductionStem CellsCells, CulturedEpidermal Growth FactorErbB ReceptorsHumansPhosphoproteinsPhosphorylationProto-Oncogene Proteins c-aktRibosomal Protein S6 Kinases, 70-kDaSingle-Cell AnalysisTOR Serine-Threonine KinasesEpidermal Growth FactorErbB ReceptorsPhosphoproteinsProto-Oncogene Proteins c-aktRibosomal Protein S6 Kinases, 70-kDaTOR Serine-Threonine Kinases

Identifiers

PMID41707849
PMCPMC13014938

What Socratic holds

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LicenceCC BY
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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 Socratic graph.