Gene
irs4a
- ID
- ZDB-GENE-120215-92
- Name
- insulin receptor substrate 4a
- Symbol
- irs4a Nomenclature History
- Previous Names
-
- si:ch73-362m14.1
- Type
- protein_coding_gene
- Location
- Chr: 21 Mapping Details/Browsers
- Description
- Predicted to enable insulin receptor binding activity and phosphatidylinositol 3-kinase binding activity. Predicted to be involved in insulin receptor signaling pathway. Predicted to be active in cytosol and plasma membrane. Human ortholog(s) of this gene implicated in congenital nongoitrous hypothyroidism 9 and lung cancer. Orthologous to human IRS4 (insulin receptor substrate 4).
- Genome Resources
- Note
- None
- Comparative Information
-
- All Expression Data
- 1 figure from Zhang et al., 2017
- Cross-Species Comparison
- High Throughput Data
- Thisse Expression Data
- No data available
Wild Type Expression Summary
- All Phenotype Data
- No data available
- Cross-Species Comparison
- Alliance
Phenotype Summary
Mutations
No data available
| Targeting Reagent | Created Alleles | Citations |
|---|---|---|
| CRISPR1-irs4a | (2) | |
| CRISPR2-irs4a | (2) | |
| CRISPR3-irs4a | (2) | |
| CRISPR4-irs4a | (2) | |
| CRISPR5-irs4a | (2) | |
| CRISPR6-irs4a | (2) | |
| CRISPR7-irs4a | (2) | |
| CRISPR8-irs4a | (2) | |
| CRISPR9-irs4a | (2) | |
| CRISPR10-irs4a | (2) |
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Human Disease
| Disease Ontology Term | Multi-Species Data | OMIM Term | OMIM Phenotype ID |
|---|---|---|---|
| congenital nongoitrous hypothyroidism 9 | Alliance | Hypothyroidism, congenital, nongoitrous, 9 | 301035 |
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Domain, Family, and Site Summary
Domain Details Per Protein
| Protein | Additional Resources | Length | Insulin receptor substrate | IRS-type PTB domain | PH-like domain superfamily | Pleckstrin homology domain |
|---|---|---|---|---|---|---|
| UniProtKB:E7FCJ4 | InterPro | 1051 |
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Interactions and Pathways
No data available
Plasmids
No data available
No data available
| Relationship | Marker Type | Marker | Accession Numbers | Citations |
|---|---|---|---|---|
| Contained in | BAC | CH73-362M14 | ZFIN Curated Data |
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| Type | Accession # | Sequence | Length (nt/aa) | Analysis |
|---|---|---|---|---|
| RNA | RefSeq:XM_002666075 (1) | 4260 nt | ||
| Genomic | GenBank:FP102106 (1) | 117373 nt | ||
| Polypeptide | UniProtKB:E7FCJ4 (1) | 1051 aa |
- Zhao, F., Wang, H., Wei, P., Jiang, G., Wang, W., Zhang, X., Ru, S. (2018) Impairment of bisphenol F on the glucose metabolism of zebrafish larvae. Ecotoxicology and environmental safety. 165:386-392
- Zhang, D., Wang, J., Zhou, C., Xiao, W. (2017) Zebrafish akt2 is essential for survival, growth, bone development, and glucose homeostasis. Mechanisms of Development. 143:42-52
- Braasch, I., Gehrke, A.R., Smith, J.J., Kawasaki, K., Manousaki, T., Pasquier, J., Amores, A., Desvignes, T., Batzel, P., Catchen, J., Berlin, A.M., Campbell, M.S., Barrell, D., Martin, K.J., Mulley, J.F., Ravi, V., Lee, A.P., Nakamura, T., Chalopin, D., Fan, S., Wcisel, D., Cañestro, C., Sydes, J., Beaudry, F.E., Sun, Y., Hertel, J., Beam, M.J., Fasold, M., Ishiyama, M., Johnson, J., Kehr, S., Lara, M., Letaw, J.H., Litman, G.W., Litman, R.T., Mikami, M., Ota, T., Saha, N.R., Williams, L., Stadler, P.F., Wang, H., Taylor, J.S., Fontenot, Q., Ferrara, A., Searle, S.M., Aken, B., Yandell, M., Schneider, I., Yoder, J.A., Volff, J.N., Meyer, A., Amemiya, C.T., Venkatesh, B., Holland, P.W., Guiguen, Y., Bobe, J., Shubin, N.H., Di Palma, F., Alföldi, J., Lindblad-Toh, K., Postlethwait, J.H. (2016) The spotted gar genome illuminates vertebrate evolution and facilitates human-teleost comparisons. Nature Genetics. 48(4):427-37
- Elkon, R., Milon, B., Morrison, L., Shah, M., Vijayakumar, S., Racherla, M., Leitch, C.C., Silipino, L., Hadi, S., Weiss-Gayet, M., Barras, E., Schmid, C.D., Ait-Lounis, A., Barnes, A., Song, Y., Eisenman, D.J., Eliyahu, E., Frolenkov, G.I., Strome, S.E., Durand, B., Zaghloul, N.A., Jones, S.M., Reith, W., Hertzano, R. (2015) RFX transcription factors are essential for hearing in mice. Nature communications. 6:8549
- Moreno-Mateos, M.A., Vejnar, C.E., Beaudoin, J.D., Fernandez, J.P., Mis, E.K., Khokha, M.K., Giraldez, A.J. (2015) CRISPRscan: designing highly efficient sgRNAs for CRISPR-Cas9 targeting in vivo. Nature Methods. 12:982-8
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