Evidence map›Paper›PMID 24453475›Full record

ArticleMolecular vision2014

Identification of proteins that interact with alpha A-crystallin using a human proteome microarray.

Qi Fan, Lv-Zhen Huang, Xiang-Jia Zhu, Ke-Ke Zhang, Hong-Fei Ye, Yi Luo, Xing-Huai Sun, Peng Zhou, Yi Lu

Open access · greenAbstract read
In one paragraph

Article in Molecular vision, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. PAWER: protein array web exploreR.BMC bioinformatics · 2020
    Article
  6. Article
  7. Article
  8. Therapeutic potential of α-crystallin.Biochimica et biophysica acta · 2016
    Review
  9. Article
  10. Article
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

9 authors at 3 institutions in 1 country.

Qi FanDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, People's Republic of China.
Lv-Zhen HuangDepartment of Ophthalmology, Peking University People's Hospital, Beijing, People's Republic of China.
Xiang-Jia ZhuDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, People's Republic of China.
Ke-Ke ZhangDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, People's Republic of China.
Hong-Fei YeDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, People's Republic of China.
Yi LuoDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, People's Republic of China.
Xing-Huai SunDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, People's Republic of China.
Peng ZhouDepartment of Ophthalmology, Parkway Health Hong Qiao Medical Center, Shanghai, People's Republic of China.
Yi LuDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai, People's Republic of China.
Eye & ENT Hospital of Fudan University · CNPeking University People's Hospital · CNShanghai Medical Information Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify proteins interacting with alpha A-crystallin (CRYAA) and to investigate the potential role that these protein interactions play in the function of CRYAA using a human proteome (HuProt) microarray.

methodsThe active full-length CRYAA protein corresponding to amino acids 1-173 of CRYAA was recombined. A HuProt microarray composed of 17,225 human full-length proteins with N-terminal glutathione S-transferase (GST) tags was used to identify protein-protein interactions. The probes were considered detectable when the signal to noise ratio (SNR) was over 1.2. The identified proteins were subjected to subsequent bioinformatics analysis using the DAVID database.

resultsThe HuProt microarray results showed that the signals of 343 proteins were higher in the recombinant CRYAA group than in the control group. The SNR of 127 proteins was ≥ 1.2. The SNR of the following eight proteins was > 3.0: hematopoietic cell-specific Lyn substrate 1 (HCLS1), Kelch domain-containing 6 (KLHDC6), sarcoglycan delta (SGCD), KIAA1706 protein (KIAA1706), RNA guanylyltransferase and 5'-phosphatase (RNGTT), chromosome 10 open reading frame 57 (C10orf57), chromosome 9 open reading frame 52 (C9orf52), and plasminogen activator, urokinase receptor (PLAUR). The bioinformatics analysis revealed 127 proteins associated with phosphoproteins, alternative splicing, acetylation, DNA binding, the nuclear lumen, ribonucleotide binding, the cell cycle, WD40 repeats, protein transport, transcription factor activity, GTP binding, and cellular response to stress. Functional annotation clustering showed that they belong to cell cycle, organelle or nuclear lumen, protein transport, and DNA binding and repair clusters. CRYAA interacted with these proteins to maintain their solubility and decrease the accumulation of denatured target proteins. The protein-protein interactions may help CRYAA carry out multifaceted functions.

conclusionsOne-hundred and twenty-seven of 17,225 human full-length proteins were identified that interact with CRYAA. The advent of microarray analysis enables a better understanding of the functions of CRYAA as a molecular chaperone.

Indexed as

Protein Interaction MappingCluster AnalysisComputational BiologyCrystallinsGene OntologyHumansMicroarray AnalysisMolecular Sequence AnnotationProtein BindingProteomeProteomicsSoftwareCRYAA protein, humanCrystallinsProteome

Identifiers

PMID24453475
PMCPMC3893783
OpenAlexW2137065638

What OpenQuestion holds

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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.