Evidence map›Paper›PMID 24626860›Full record

ArticleMolecular bioSystems2014

Quantitative phosphoproteomic profiling of PINK1-deficient cells identifies phosphorylation changes in nuclear proteins.

Xiaoyan Qin, Chaoya Zheng, John R Yates, Lujian Liao

Abstract read
In one paragraph

Article in Molecular bioSystems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 14 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

4 authors at 3 institutions in 3 countries.

Xiaoyan QinShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai, 200241, China. ljliao@bio.ecnu.edu.cn.
Chaoya Zheng
John R Yates
Lujian Liao
East China Normal University · CNGenomics (United Kingdom) · GBScripps Research Institute · US

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
Quantitative Proteome Analysis of Brain DevelopmentR01MH067880 · NIMH · SCRIPPS RESEARCH INSTITUTE, THE · PI YATES III, JOHN R · 2003 to 2017
$7.1M
NIGMS NIH HHS P41 GM103533NIMH NIH HHS 5R01 MH067880-02NIMH NIH HHS R01 MH067880
6 · The paper itself

Abstract

The Parkinson's disease (PD) associated gene PINK1 encodes a protein kinase that mediates the phosphorylation of multiple proteins involved in mitochondrial homeostasis. The broader downstream signaling events mediated by PINK1 kinase activity have not been well documented. We combine quantitative phosphoproteomic strategies with siRNA mediated PINK1 knock down in mammalian cells to identify alterations of phosphorylation events downstream of PINK1. Although down-regulation of PINK1 has no major effect on the proteome expression in these cells, phosphorylation of over one hundred proteins was reduced reflecting basal levels of phosphorylation signaling events downstream of PINK1. Motif analysis of the residues flanking the phosphorylation sites indicates proline-directed kinase specificity. Surprisingly, we found that the downstream signaling nodes included many transcription factors, as well as nuclear proteins involved in DNA and RNA metabolism. Thus, PINK1 dependent phosphorylation signaling may regulate nuclear activities.

Indexed as

Amino Acid SequenceAnimalsCell Line, TumorGene Expression RegulationGene Knockdown TechniquesHEK293 CellsHumansPC12 CellsPhosphorylationProlineProtein KinasesProteomicsPTEN-Induced Putative KinaseRatsSignal TransductionProlineProtein KinasesPTEN-Induced Putative Kinase

Identifiers

PMID24626860
PMCPMC4343256
OpenAlexW2044893896

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.