ArticleMolecular vision2014
Identification of proteins that interact with alpha A-crystallin using a human proteome microarray.
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.
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Who cites it
10 citing papers in PubMed, 21 citations in OpenAlex.
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- Structural and functional analysis of SNP rs76740365 G>A in exon-3 of the alpha A-crystallin gene in lens epithelial cells.Molecular vision · 2022Article
- PAWER: protein array web exploreR.BMC bioinformatics · 2020Article
- Calpastatin participates in the regulation of cell migration in BAP1-deficient uveal melanoma cells.International journal of ophthalmology · 2019Article
- RNA aptamers targeted for human αA-crystallin do not bind αB-crystallin, and spare the α-crystallin domain.Biochemical and biophysical research communications · 2017Article
- Therapeutic potential of α-crystallin.Biochimica et biophysica acta · 2016Review
- Identification of peptides in human Hsp20 and Hsp27 that possess molecular chaperone and anti-apoptotic activities.The Biochemical journal · 2015Article
- Cognition and hippocampal plasticity in the mouse is altered by monosomy of a genomic region implicated in Down syndrome.Genetics · 2014Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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24453475PMC3893783W2137065638What OpenQuestion holds
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