Evidence map›Paper›PMID 40176779›Full record

ArticleBMC methods2025

iPAR: a new reporter for eukaryotic cytoplasmic protein aggregation.

Sarah Lecinski, Jamieson A L Howard, Chris MacDonald, Mark C Leake

Abstract read
In one paragraph

Article in BMC methods, 2025. 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

4 authors.

Sarah LecinskiSchool of Physics, Engineering and Technology, University of York, York, YO10 5DD UK.
Jamieson A L HowardSchool of Physics, Engineering and Technology, University of York, York, YO10 5DD UK.
Chris MacDonaldDepartment of Biology, University of York, York, YO10 5DD UK.
Mark C LeakeSchool of Physics, Engineering and Technology, University of York, York, YO10 5DD UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Cells employ myriad regulatory mechanisms to maintain protein homeostasis, termed proteostasis, to ensure correct cellular function. Dysregulation of proteostasis, which is often induced by physiological stress and ageing, often results in protein aggregation in cells. These aggregated structures can perturb normal physiological function, compromising cell integrity and viability, a prime example being early onset of several neurodegenerative diseases. Understanding aggregate dynamics Methods: Here, we report an improved methodology for production of fluorescent aggregates in model budding yeast which can be detected, tracked and quantified using fluorescence microscopy in live cells. This new openly-available technology, iPAR (inducible Protein Aggregation Reporter), involves monomeric fluorescent protein reporters fused to a ∆ssCPY* aggregation biomarker, with expression controlled under the copper-regulated Results: Monomeric tags overcome challenges associated with non-physiological reporter aggregation, whilst Discussion: Time lapse imaging shows that although larger iPAR aggregates associate with nuclear and vacuolar compartments, we show directly, for the first time, that these proteotoxic accumulations are not inherited by daughter cells, unlike nuclei and vacuoles. If suitably adapted, iPAR offers new potential for studying diseases relating to protein oligomerization processes in other model cellular systems. Supplementary Information: The online version contains supplementary material available at 10.1186/s44330-025-00023-w.

Indexed as

Cell ageingConfocal microscopyInheritanceProtein aggregationSaccharomyces cerevisiaeSingle-molecule

Identifiers

PMID40176779
PMCPMC11958454

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.