Evidence map›Paper›PMID 35236365›Full record

ReviewCell communication and signaling : CCS2022

QR code model: a new possibility for GPCR phosphorylation recognition.

Hao Chen, Suli Zhang, Xi Zhang, Huirong Liu

Open access · goldAbstract readReviewVideo-Audio Media
In one paragraph

Review in Cell communication and signaling : CCS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Factors modulating the assembly of human βNature structural & molecular biology · 2026
    Article
  3. Article
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Syndecans modulate ghrelin receptor signaling.Journal of molecular endocrinology · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Information Transmission in G Protein-Coupled Receptors.International journal of molecular sciences · 2024
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
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 1 institution in 1 country.

Hao ChenDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, 10 Xitoutiao, You An Men Street, Beijing, 100069, People's Republic of China.
Suli ZhangDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, 10 Xitoutiao, You An Men Street, Beijing, 100069, People's Republic of China.
Xi ZhangDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, 10 Xitoutiao, You An Men Street, Beijing, 100069, People's Republic of China.
Huirong LiuDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, 10 Xitoutiao, You An Men Street, Beijing, 100069, People's Republic of China. liuhr2000@ccmu.edu.cn.ORCID 0000-0002-8178-2950
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) are the largest family of membrane proteins in the human body and are responsible for accurately transmitting extracellular information to cells. Arrestin is an important member of the GPCR signaling pathway. The main function of arrestin is to assist receptor desensitization, endocytosis and signal transduction. In these processes, the recognition and binding of arrestin to phosphorylated GPCRs is fundamental. However, the mechanism by which arrestin recognizes phosphorylated GPCRs is not fully understood. The GPCR phosphorylation recognition "bar code model" and "flute" model describe the basic process of receptor phosphorylation recognition in terms of receptor phosphorylation sites, arrestin structural changes and downstream signaling. These two models suggest that GPCR phosphorylation recognition is a process involving multiple factors. This process can be described by a "QR code" model in which ligands, GPCRs, G protein-coupled receptor kinase, arrestin, and phosphorylation sites work together to determine the biological functions of phosphorylated receptors. Video Abstract.

Indexed as

Receptors, G-Protein-CoupledSignal TransductionArrestinsEndocytosisHumansPhosphorylationArrestinsReceptors, G-Protein-CoupledBar code modelFlute modelGPCR phosphorylation recognitionGPCR signalingQR code model

Identifiers

PMID35236365
PMCPMC8889771
OpenAlexW4214840872

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.