Evidence map›Paper›PMID 38404380›Full record

ArticleChemical science2024

A strategy to disentangle direct and indirect effects on (de)phosphorylation by chemical modulators of the phosphatase PP1 in complex cellular contexts.

Bernhard Hoermann, Eva-Maria Dürr, Christina Ludwig, Melda Ercan, Maja Köhn

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Article in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Bernhard HoermannFaculty of Biology, Institute of Biology III, University of Freiburg Freiburg Germany maja.koehn@bioss.uni-freiburg.de.ORCID https://orcid.org/0000-0002-4014-0329
Eva-Maria DürrFaculty of Biology, Institute of Biology III, University of Freiburg Freiburg Germany maja.koehn@bioss.uni-freiburg.de.ORCID https://orcid.org/0000-0003-3988-3392
Christina LudwigChair of Proteomics and Bioanalytics, Technical University of Munich (TUM) Freising Germany.ORCID https://orcid.org/0000-0002-6131-7322
Melda ErcanFaculty of Biology, Institute of Biology III, University of Freiburg Freiburg Germany maja.koehn@bioss.uni-freiburg.de.
Maja KöhnFaculty of Biology, Institute of Biology III, University of Freiburg Freiburg Germany maja.koehn@bioss.uni-freiburg.de.ORCID https://orcid.org/0000-0001-8142-3504
University of Freiburg · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical activators and inhibitors are useful probes to identify substrates and downstream effects of enzymes; however, due to the complex signaling environment within cells, it is challenging to distinguish between direct and indirect effects. This is particularly the case for phosphorylation, where a single (de)phosphorylation event can trigger rapid changes in many other phosphorylation sites. An additional complication arises when a single catalytic entity, which acts in the form of many different holoenzymes with different substrates, is activated or inhibited, as it is unclear which holoenzymes are affected, and in turn which of their substrates are (de)phosphorylated. Direct target engaging MS-based technologies to study targets of drugs do not address these challenges. Here, we tackle this by studying the modulation of protein phosphatase-1 (PP1) activity by PP1-disrupting peptides (PDPs), as well as their selectivity toward PP1, by using a combination of mass spectrometry-based experiments. By combining cellular treatment with the PDP with

Identifiers

PMID38404380
PMCPMC10882499
OpenAlexW4390790398

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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.