Evidence map›Paper›PMID 40437196›Full record

ArticleMolecular systems biology2025

Proteomic compensation by paralogs preserves protein interaction networks after gene loss in cancer.

Anjan Venkatesh, Niall Quinn, Swathi Ramachandra Upadhya, Barbara De Kegel, Alfonso Bolado Carrancio, Thomas Lefeivre, Olivier Dennler, Kieran Wynne, Alexander von Kriegsheim, Colm J Ryan

Abstract read
In one paragraph

Article in Molecular systems biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Anjan VenkateshConway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland.ORCID http://orcid.org/0009-0007-1584-3763
Niall QuinnSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Swathi Ramachandra UpadhyaConway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland.
Barbara De KegelSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Alfonso Bolado CarrancioEdinburgh Cancer Research UK Centre, University of Edinburgh, Edinburgh, UK.
Thomas LefeivreConway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland.ORCID http://orcid.org/0009-0005-2689-8175
Olivier DennlerConway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland.ORCID http://orcid.org/0009-0005-2408-1102
Kieran WynneConway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland.
Alexander von KriegsheimEdinburgh Cancer Research UK Centre, University of Edinburgh, Edinburgh, UK.
Colm J RyanConway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland. colm.ryan@ucd.ie.ORCID http://orcid.org/0000-0003-2750-9854

Funding

Irish Research Council for Science, Engineering and Technology (IRCSET) 2017/18 Laureate AwardScience Foundation Ireland (SFI) 18/CRT/6214Science Foundation Ireland (SFI) 20/FFP-P/8641UCD Foundation (University College Dublin Foundation) Newman Fellowship ProgrammeUniversity College Dublin (UCD) UCD School of Computer Science PhD scholarship
6 · The paper itself

Abstract

Proteins operate within dense interconnected networks, with interactions necessary both for stabilising proteins and enabling them to execute their molecular functions. Remarkably, protein-protein interaction networks operating within tumour cells continue to function despite widespread genetic perturbations. Previous work has demonstrated that tumour cells tolerate perturbations of paralogs better than perturbations of singleton genes, but the underlying mechanisms remain poorly understood. Here, we systematically profile the proteomic response of tumours and cell lines to gene loss. We find many examples of proteomic compensation, where loss of one gene causes increased abundance of a paralog, and collateral loss, where gene loss causes reduced paralog abundance. Compensation is enriched among paralog pairs that are central in the protein-protein interaction network and whose interaction partners perform essential functions. Compensation is also significantly more likely to be observed between synthetic lethal pairs. Our results support a model whereby loss of one gene results in increased protein abundance of its paralog, stabilising the protein-protein interaction network. Consequently, tumour cells may become dependent on the paralog for survival, creating potentially targetable vulnerabilities.

Indexed as

NeoplasmsProtein Interaction MapsProteomeProteomicsCell Line, TumorGene Expression Regulation, NeoplasticHumansProteomeCancerGene LossParalog CompensationProtein–protein InteractionsSynthetic Lethality

Identifiers

PMID40437196
PMCPMC12322171

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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.