Evidence map›Paper›PMID 41330938›Full record

ArticleNature communications2025

Dynamic Organellar Mapping in yeast reveals extensive protein localization changes during ER stress.

Anna Platzek, Klára Odehnalová, Julia P Schessner, Georg H H Borner, Sebastian Schuck

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Anna PlatzekHeidelberg University Biochemistry Center, Heidelberg, Germany.
Klára OdehnalováHeidelberg University Biochemistry Center, Heidelberg, Germany.
Julia P SchessnerDepartment of Proteomics and Signal Transduction, Systems Biology of Membrane Trafficking Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0000-0003-3361-9830
Georg H H BornerHeidelberg University Biochemistry Center, Heidelberg, Germany. borner@biochem.mpg.de.ORCID http://orcid.org/0000-0002-3166-3435
Sebastian SchuckHeidelberg University Biochemistry Center, Heidelberg, Germany. sebastian.schuck@bzh.uni-heidelberg.de.ORCID http://orcid.org/0000-0002-6388-0661

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) INST 35/1503-1 FUGGDeutsche Forschungsgemeinschaft (German Research Foundation) SCHU 2364/3-1
6 · The paper itself

Abstract

Sophisticated techniques are available for systematic studies of yeast cell biology. However, it remains challenging to investigate protein subcellular localization changes on a proteome-wide scale. Here, we apply Dynamic Organellar Mapping by label-free mass spectrometry to detect localization changes of native, untagged proteins during endoplasmic reticulum (ER) stress. We find that hundreds of proteins shift between cellular compartments. For example, we show that numerous secretory pathway proteins accumulate in the ER, thus defining the extent and selectivity of ER retention of misfolded proteins. Furthermore, we identify candidate cargo proteins of the ER reflux pathway, determine constituents of reticulon clusters that segregate from the remainder of the ER and provide evidence for altered nuclear pore complex composition and nuclear import. These findings uncover protein relocalization as a major aspect of cellular reorganization during ER stress and establish Dynamic Organellar Maps as a powerful discovery tool in yeast.

Indexed as

Endoplasmic ReticulumEndoplasmic Reticulum StressSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsMass SpectrometryProtein TransportSaccharomyces cerevisiae Proteins

Identifiers

PMID41330938
PMCPMC12672650

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.