IRS4 (insulin receptor substrate 4)
| Gene | |
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Entrez ID
Entrez Gene ID - the GENE ID in NCBI Gene database.
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8471 |
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Gene name
Gene Name - the full gene name approved by the HGNC.
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Insulin receptor substrate 4 |
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Gene symbol
Gene Symbol - the official gene symbol approved by the HGNC.
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IRS4 |
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Synonyms (NCBI Gene)
Gene synonyms aliases
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CHNG9, IRS-4, PY160 |
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Chromosome
Chromosome number
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X |
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Chromosome location
Chromosomal Location - indicates the cytogenetic location of the gene or region on the chromosome.
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Xq22.3 |
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Summary
Summary of gene provided in NCBI Entrez Gene.
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IRS4 encodes the insulin receptor substrate 4, a cytoplasmic protein that contains many potential tyrosine and serine/threonine phosphorylation sites. Tyrosine-phosphorylated IRS4 protein has been shown to associate with cytoplasmic signalling molecules t |
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SNPs
SNP information provided by dbSNP.
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miRNA
miRNA information provided by mirtarbase database.
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Gene ontology (GO)
Gene ontology information of associated ontologies with gene provided by GO database.
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Other IDs
Other ids provides unique ids of gene in databases such as OMIM, HGNC, ENSEMBLE.
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| Protein | |||||||||||
| UniProt ID | O14654 | ||||||||||
| Protein name | Insulin receptor substrate 4 (IRS-4) (160 kDa phosphotyrosine protein) (py160) (Phosphoprotein of 160 kDa) (pp160) | ||||||||||
| Protein function | Acts as an interface between multiple growth factor receptors possessing tyrosine kinase activity, such as insulin receptor, IGF1R and FGFR1, and a complex network of intracellular signaling molecules containing SH2 domains. Involved in the IGF1 | ||||||||||
| Family and domains |
Pfam
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| Tissue specificity | TISSUE SPECIFICITY: Expressed in myoblasts. Expressed in liver and hepatocellular carcinoma. {ECO:0000269|PubMed:12639902, ECO:0000269|PubMed:17408801}. | ||||||||||
| Sequence |
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| Sequence length | 1257 | ||||||||||
| Interactions | View interactions | ||||||||||
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Associated diseases
Disease associations categorized as Causal (pathogenic variants), Unknown (uncertain genetic evidence), or Text Mining (literature-based associations)
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