Evidence map›Paper›PMID 35575520›Full record

ArticleJournal of visualized experiments : JoVE2022

A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors.

Kali A Smolen, Arminja N Kettenbach

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

2 authors.

Kali A SmolenDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth.
Arminja N KettenbachDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth; Norris Cotton Cancer Center; Arminja.N.Kettenbach@dartmouth.edu.

Funding

Phosphorylation Signaling by Phosphoprotein PhosphatasesR35GM119455 · NIGMS · DARTMOUTH COLLEGE · PI Arminja Nadine Kettenbach · 2016 to 2026
$5.1M
Activity based profiling of Phosphoprotein phosphatases in cancer using mass spectrometry-based proteomicsR33CA225458 · NCI · DARTMOUTH COLLEGE · PI GERBER, SCOTT A., KETTENBACH, ARMINJA NADINE · 2019 to 2021
$1.2M
NCI NIH HHS R33 CA225458NIGMS NIH HHS R35 GM119455
6 · The paper itself

Abstract

Most cellular processes are regulated by dynamic protein phosphorylation. More than three-quarters of proteins are phosphorylated, and phosphoprotein phosphatases (PPPs) coordinate over 90% of all cellular serine/threonine dephosphorylation. Deregulation of protein phosphorylation has been implicated in the pathophysiology of various diseases, including cancer and neurodegeneration. Despite their widespread activity, the molecular mechanisms controlling PPPs and those controlled by PPPs are poorly characterized. Here, a proteomic approach termed phosphatase inhibitor beads and mass spectrometry (PIB-MS) is described to identify and quantify PPPs, their posttranslational modifications, and their interactors in as little as 12 h using any cell line or tissue. PIB-MS utilizes a non-selective PPP inhibitor, microcystin-LR (MCLR), immobilized on sepharose beads to capture and enrich endogenous PPPs and their associated proteins (termed the PPPome). This method does not require the exogenous expression of tagged versions of PPPs or the use of specific antibodies. PIB-MS offers an innovative way to study the evolutionarily conserved PPPs and expand our current understanding of dephosphorylation signaling.

Indexed as

Phosphoprotein PhosphatasesProteomicsMass SpectrometryPhosphorylationProtein Processing, Post-TranslationalPhosphoprotein Phosphatases

Identifiers

PMID35575520
PMCPMC9297045

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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.