Evidence map›Paper›PMID 39746977›Full record

ArticleNature communications2025

Degradation bottlenecks and resource competition in transiently and stably engineered mammalian cells.

Jacopo Gabrielli, Roberto Di Blasi, Cleo Kontoravdi, Francesca Ceroni

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Emerging biologic modalities for targeted protein degradation.The Journal of biological chemistry · 2026
    Review
  3. Programmable nanobody circuits for cell selection.bioRxiv : the preprint server for biology · 2026
    Article
  4. 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

4 authors.

Jacopo Gabrielli *Department of Chemical Engineering, Imperial College London, London, UK.
Roberto Di Blasi *Department of Chemical Engineering, Imperial College London, London, UK.ORCID 0000-0002-6563-2792
Cleo KontoravdiDepartment of Chemical Engineering, Imperial College London, London, UK.ORCID 0000-0003-0213-4830
Francesca CeroniDepartment of Chemical Engineering, Imperial College London, London, UK. f.ceroni@imperial.ac.uk.ORCID 0000-0001-7237-4982

Funding

RCUK | Engineering and Physical Sciences Research Council (EPSRC) EPSRC Centre for Doctoral Training in BioDesign Engineering (EP/S022856/1)
6 · The paper itself

Abstract

Degradation tags, otherwise known as degrons, are portable sequences that can be used to alter protein stability. Here, we report that degron-tagged proteins compete for cellular degradation resources in engineered mammalian cells leading to coupling of the degradation rates of otherwise independently expressed proteins when constitutively targeted human degrons are adopted. We show the effect of this competition to be dependent on the context of the degrons. By considering different proteins, degron position and cellular hosts, we highlight how the impact of the degron on both degradation strength and resource coupling changes, with identification of orthogonal combinations. By adopting inducible bacterial and plant degrons we also highlight how controlled uncoupling of synthetic construct degradation from the native machinery can be achieved. We then build a genomically integrated capacity monitor tagged with different degrons and confirm resource competition between genomic and transiently expressed DNA constructs. This work expands the characterisation of resource competition in engineered mammalian cells to protein degradation also including integrated systems, providing a framework for the optimisation of heterologous expression systems to advance applications in fundamental and applied biological research.

Indexed as

ProteolysisAnimalsCell EngineeringHEK293 CellsHumansProtein Stability

Identifiers

PMID39746977
PMCPMC11696530

What OpenQuestion 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 OpenQuestion graph.