Precursor miRBase

cfa-mir-22 (MI0008157)

Accession MI0008157
Name cfa-mir-22
similar to following miRCarta precursors cfa-2.1
Organism Canis familiaris
Genome CanFam3.1
Location chr9:45,852,534-45,852,593 (-)
miRNA cfa-miR-22
Sequence (5' -> 3')
(60 nts)
AGUUCUUCAGUGGCAAGCUUUAUGUCCUGACCCAGCUAAAGCUGCCAGUUGAAGAACUGU
MFE -25.90 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(1 precursors)
cfa-mir-22
Family mir-22 (MIPF0000053)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR22
NCBI Gene 100885958

Predicted Structure

de94c140-b494-4059-b402-471535de4d4e5257ad44-64bc-44c5-bd45-2fea3d206a9cafbf01c8-efd3-4aad-81e8-2e88905986ce6160724a-17eb-46bc-b032-e21eaf51b119de94c140-b494-4059-b402-471535de4d4eafbf01c8-efd3-4aad-81e8-2e88905986ce21bea4d4-2b0f-46f7-a254-4941ad01b1ec27d6791b-111b-43bc-8cde-7158ac7c8443afbf01c8-efd3-4aad-81e8-2e88905986ce21bea4d4-2b0f-46f7-a254-4941ad01b1ec3fa2bcd6-0fc4-4f1c-a3d1-f915ae8c5db8b75f308d-4044-4174-b17c-47e8d48d67a921bea4d4-2b0f-46f7-a254-4941ad01b1ec3fa2bcd6-0fc4-4f1c-a3d1-f915ae8c5db853ef1f78-eb0a-417d-a714-3f8f55322f076921b04c-a79f-4374-9450-3321bf964f5a3fa2bcd6-0fc4-4f1c-a3d1-f915ae8c5db853ef1f78-eb0a-417d-a714-3f8f55322f077cbcb930-038d-4677-881b-a91c2aa4038e1a66a8ef-30eb-45df-b985-48920e9cc66253ef1f78-eb0a-417d-a714-3f8f55322f077cbcb930-038d-4677-881b-a91c2aa4038ea886f169-8ddf-4286-9663-1007af0fdac143e90fd3-a1c2-4c81-9f9c-effab201543c7cbcb930-038d-4677-881b-a91c2aa4038ea886f169-8ddf-4286-9663-1007af0fdac16dc1b115-03ff-4de9-adf8-3085b66201d469eafd84-05b2-4084-9140-496c2ecbda2fa886f169-8ddf-4286-9663-1007af0fdac16dc1b115-03ff-4de9-adf8-3085b66201d4df10599c-3133-4f31-8b77-f3489a25a0120cc1e359-92d8-4412-baf9-9088856ca2c56dc1b115-03ff-4de9-adf8-3085b66201d4df10599c-3133-4f31-8b77-f3489a25a012325731f0-f091-4393-bd14-a47ff24603b1d46a1211-2494-4834-9126-45cd6ca911e7df10599c-3133-4f31-8b77-f3489a25a012325731f0-f091-4393-bd14-a47ff24603b106d3c476-0df6-4f85-9c47-ae08f98328705aee1d9e-f688-4bf3-b8b2-b7cb5f897629325731f0-f091-4393-bd14-a47ff24603b106d3c476-0df6-4f85-9c47-ae08f983287018c2f0b2-a85a-42ee-9fee-d6380fc233925a18e1d0-f319-4ff1-b024-ada9312f66af06d3c476-0df6-4f85-9c47-ae08f983287018c2f0b2-a85a-42ee-9fee-d6380fc23392f9494843-6ee2-4afa-8757-d4eb116dc16cfb965193-93e7-43c8-9392-998e95003f1818c2f0b2-a85a-42ee-9fee-d6380fc23392f9494843-6ee2-4afa-8757-d4eb116dc16c6c1914a1-47ff-4f5c-bc9b-589c082303e803749423-8a74-4c76-81c9-b1a75e84ce80f9494843-6ee2-4afa-8757-d4eb116dc16c6c1914a1-47ff-4f5c-bc9b-589c082303e8e8be0c76-a6be-4749-86de-bfdaac0c0cb6f1cd2803-dd1b-4407-a9a3-ae81725ea9ec6c1914a1-47ff-4f5c-bc9b-589c082303e8e8be0c76-a6be-4749-86de-bfdaac0c0cb6e8be0c76-a6be-4749-86de-bfdaac0c0cb62e647a16-40a6-4924-a27c-f0b7ec0fc790fc30e8eb-3168-4e51-9b9e-3c56a3978c8c1ede949f-e396-4a4e-bdbb-2a84ae883bf22e647a16-40a6-4924-a27c-f0b7ec0fc790fc30e8eb-3168-4e51-9b9e-3c56a3978c8cc3bf4d28-605d-4256-b48a-6feafaa941c093044d99-f666-4649-a444-0ac41998072bfc30e8eb-3168-4e51-9b9e-3c56a3978c8cc3bf4d28-605d-4256-b48a-6feafaa941c0c1a84c53-db11-45fa-b554-5128a41efedc0bf2f12a-927b-4fdf-99e9-a9a6833af4c9c3bf4d28-605d-4256-b48a-6feafaa941c0c1a84c53-db11-45fa-b554-5128a41efedc8d2213ea-643e-45f9-ad54-738fd1877cd9bf643223-91eb-4b65-9139-05c83321b185c1a84c53-db11-45fa-b554-5128a41efedc8d2213ea-643e-45f9-ad54-738fd1877cd9cc02bf2b-8532-4843-8aa7-081e84fda96714a88367-0998-43cf-91eb-cd126bdafc288d2213ea-643e-45f9-ad54-738fd1877cd9cc02bf2b-8532-4843-8aa7-081e84fda967a7431129-e07c-4fe3-ac6c-6c859cdda070ce9ce3a1-7ab8-4fef-afae-668762bfe2b6cc02bf2b-8532-4843-8aa7-081e84fda967a7431129-e07c-4fe3-ac6c-6c859cdda070a7431129-e07c-4fe3-ac6c-6c859cdda07088421052-bf70-425c-821b-5a184b087030da4c086b-7937-4d2c-bdf3-ab3dc02ee88335a95cdc-34da-40b9-999d-db90f4bfffde88421052-bf70-425c-821b-5a184b087030da4c086b-7937-4d2c-bdf3-ab3dc02ee8838b056a70-853f-4ea1-96a6-7eaa24d7bcb0539ca2a4-3aea-49d8-a8e8-91052223e690da4c086b-7937-4d2c-bdf3-ab3dc02ee8838b056a70-853f-4ea1-96a6-7eaa24d7bcb08b056a70-853f-4ea1-96a6-7eaa24d7bcb0951fea7d-d975-4349-a39a-d2ba27c7fc51951fea7d-d975-4349-a39a-d2ba27c7fc5182219405-08c7-4b7a-93b0-60ae04756f7682219405-08c7-4b7a-93b0-60ae04756f7670462085-7e9a-4d6c-9861-5f73cfbc91a570462085-7e9a-4d6c-9861-5f73cfbc91a5a08d32c5-1a00-41d5-8f67-f2b92b380d1aa08d32c5-1a00-41d5-8f67-f2b92b380d1a863d31dd-40fd-4853-9065-560424109d7d863d31dd-40fd-4853-9065-560424109d7d66da8ab0-ae7f-4148-a68d-1e6c3431500766da8ab0-ae7f-4148-a68d-1e6c343150076fc1dea1-c180-4373-b539-4f987aae18a06fc1dea1-c180-4373-b539-4f987aae18a049366072-3a0d-4c3a-ace7-33e863fc322449366072-3a0d-4c3a-ace7-33e863fc3224c424de77-008f-436f-8d47-991a77894a7e539ca2a4-3aea-49d8-a8e8-91052223e6908b056a70-853f-4ea1-96a6-7eaa24d7bcb0c424de77-008f-436f-8d47-991a77894a7e539ca2a4-3aea-49d8-a8e8-91052223e69035a95cdc-34da-40b9-999d-db90f4bfffdeda4c086b-7937-4d2c-bdf3-ab3dc02ee883539ca2a4-3aea-49d8-a8e8-91052223e69035a95cdc-34da-40b9-999d-db90f4bfffdece9ce3a1-7ab8-4fef-afae-668762bfe2b6a7431129-e07c-4fe3-ac6c-6c859cdda07035a95cdc-34da-40b9-999d-db90f4bfffdece9ce3a1-7ab8-4fef-afae-668762bfe2b614a88367-0998-43cf-91eb-cd126bdafc28cc02bf2b-8532-4843-8aa7-081e84fda967ce9ce3a1-7ab8-4fef-afae-668762bfe2b614a88367-0998-43cf-91eb-cd126bdafc28bf643223-91eb-4b65-9139-05c83321b1858d2213ea-643e-45f9-ad54-738fd1877cd914a88367-0998-43cf-91eb-cd126bdafc28bf643223-91eb-4b65-9139-05c83321b1850bf2f12a-927b-4fdf-99e9-a9a6833af4c9c1a84c53-db11-45fa-b554-5128a41efedcbf643223-91eb-4b65-9139-05c83321b1850bf2f12a-927b-4fdf-99e9-a9a6833af4c993044d99-f666-4649-a444-0ac41998072bc3bf4d28-605d-4256-b48a-6feafaa941c00bf2f12a-927b-4fdf-99e9-a9a6833a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References

Authors Journal Year Pubmed link Title
1 Friedländer et al. Nat. Biotechnol. 2008 18392026 Discovering microRNAs from deep sequencing data using miRDeep.
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