Evidence map›Paper›PMID 22128160›Full record

ArticleThe Journal of biological chemistry2012

Identification of a key motif that determines the differential surface levels of RET and TrkB tyrosine kinase receptors and controls depolarization enhanced RET surface insertion.

Xue-Zhi Li, Jing Yan, Shu-Hong Huang, Ling Zhao, Jue Wang, Zhe-Yu Chen

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

4 citing papers in PubMed, 6 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

6 authors at 1 institution in 1 country.

Xue-Zhi LiDepartment of Neurobiology, Shandong Provincial Key Laboratory of Mental Disorders, School of Medicine, Shandong University, Jinan, Shandong 250012, PR China.
Jing Yan
Shu-Hong Huang
Ling Zhao
Jue Wang
Zhe-Yu Chen
Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The RET tyrosine kinase receptor plays an important role in the development and maintenance of the nervous system. Although the ligand-induced RET signaling pathway has been well described, little is known about the regulation of RET surface expression, which is integral to the cell ability to control the response to ligand stimuli. We found that in dorsal root ganglion (DRG) neurons, which co-express RET and TrkB, the receptor surface levels of RET are significantly higher than that of TrkB. Using a sequence substitution strategy, we identified a key motif (Box1), which is necessary and sufficient for the differential RET and TrkB surface levels. Furthermore, pharmacological and mutagenesis assays revealed that protein kinase C (PKC) and high K(+) depolarization increase RET surface levels through phosphorylation of the Thr(675) residue in the Box1 motif. Finally, we found that the phosphorylation status of the Thr(675) residue influences RET mediated response to GDNF stimulation. In all, these findings provide a novel mechanism for the modulation of RET surface expression.

Indexed as

Amino Acid MotifsAnimalsCell MembraneGanglia, SpinalGene Expression Regulation, EnzymologicGlial Cell Line-Derived Neurotrophic FactorHumansNeuronsPC12 CellsPhosphorylationProtein Kinase CProtein TransportProto-Oncogene Proteins c-retRatsRats, Sprague-DawleyReceptor, trkBGlial Cell Line-Derived Neurotrophic FactorProtein Kinase CProto-Oncogene Proteins c-retReceptor, trkBRet protein, rat

Identifiers

PMID22128160
PMCPMC3265874
OpenAlexW2067147541

What OpenQuestion holds

Textmetadata
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.