Precursor miRBase

cfa-mir-425 (MI0008038)

Accession MI0008038
Name cfa-mir-425
similar to following miRCarta precursors cfa-95.1
Organism Canis familiaris
Genome CanFam3.1
Location chr20:40,144,613-40,144,675 (+)
miRNA cfa-miR-425
Sequence (5' -> 3')
(63 nts)
AAUGACACGAUCACUCCCGUUGAGUGGGCACCCAAGAAGCCAUCGGGAAUGUCGUGUCCGCCC
MFE -22.70 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(2 precursors)
cfa-mir-191
cfa-mir-425
Family mir-425 (MIPF0000242)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR425
NCBI Gene 100886172

Predicted Structure

4cfcbd61-b44f-42ca-b257-2b2aedaaa1bafe81c055-0bfd-42c0-9342-b1c789d8f8d9fe81c055-0bfd-42c0-9342-b1c789d8f8d9c94daac7-7195-4cbf-b177-54164ee4aa56da14bd97-842d-47ee-be2b-84accb913cdcc8d907ef-17f8-4686-aa84-dd79238aefefc94daac7-7195-4cbf-b177-54164ee4aa56da14bd97-842d-47ee-be2b-84accb913cdcfa1018d8-6c44-4811-b528-40368b25ef71f77c3f0d-db2f-487b-9d6d-0b9638a82c3bda14bd97-842d-47ee-be2b-84accb913cdcfa1018d8-6c44-4811-b528-40368b25ef716a7af75a-670b-4b36-9355-157ea6ac21f0bf9f60a1-74f9-436e-b96d-66bb0b1061fffa1018d8-6c44-4811-b528-40368b25ef716a7af75a-670b-4b36-9355-157ea6ac21f097533cc9-1d44-4edf-9332-793076cacc4c242fa332-50b1-4203-aabe-eb600c4665226a7af75a-670b-4b36-9355-157ea6ac21f097533cc9-1d44-4edf-9332-793076cacc4c504973d2-e647-4d47-9140-8602e536ce046df24b23-1842-476a-a461-456e60cab7a997533cc9-1d44-4edf-9332-793076cacc4c504973d2-e647-4d47-9140-8602e536ce0466e8faef-44ef-48c7-a87b-6fc98cd165fda7219ea4-22d6-4ff9-b74b-480cca9161aa504973d2-e647-4d47-9140-8602e536ce0466e8faef-44ef-48c7-a87b-6fc98cd165fd16597991-64d2-414e-8f5a-acdff1dead6042e04c73-e25c-412c-bcf1-727804d8f66966e8faef-44ef-48c7-a87b-6fc98cd165fd16597991-64d2-414e-8f5a-acdff1dead6016597991-64d2-414e-8f5a-acdff1dead6036db4ac7-0370-4262-af37-d625c3db3c4ad46fa86a-f719-4206-9f88-aa761ea1773cb61beba2-e449-456b-bef0-b3c83ca6973636db4ac7-0370-4262-af37-d625c3db3c4ad46fa86a-f719-4206-9f88-aa761ea1773c304fab6f-9dd6-4995-b971-1b1d1333e3fe2b8ec150-fe3e-4904-ae73-021c50367ab7d46fa86a-f719-4206-9f88-aa761ea1773c304fab6f-9dd6-4995-b971-1b1d1333e3fe304fab6f-9dd6-4995-b971-1b1d1333e3fed8758f73-1d16-4908-b163-319ae6964d5604b682c8-88b1-402b-b79b-ab134c086dad4acffa73-54bc-4a5e-855d-e4ed9a867dabd8758f73-1d16-4908-b163-319ae6964d5604b682c8-88b1-402b-b79b-ab134c086dad4e46dc21-6e55-4fa3-991d-a1f96aea0e1b799bcf14-ba4c-422e-b9af-daaf92997bbc04b682c8-88b1-402b-b79b-ab134c086dad4e46dc21-6e55-4fa3-991d-a1f96aea0e1b8c36fe5d-6c55-499d-9af0-b3f280d69eb7416ccf9e-0b22-44b4-b665-b035aef592ce4e46dc21-6e55-4fa3-991d-a1f96aea0e1b8c36fe5d-6c55-499d-9af0-b3f280d69eb720f04d29-3c83-4b95-a014-9e41e97d419fd1782292-0dc1-4d63-97c7-18178ba247478c36fe5d-6c55-499d-9af0-b3f280d69eb720f04d29-3c83-4b95-a014-9e41e97d419fcb31f3ed-6356-4d58-a2f7-8a59c8d7512f4876c01a-945e-4d00-8ab3-ca779d3e4f6d20f04d29-3c83-4b95-a014-9e41e97d419fcb31f3ed-6356-4d58-a2f7-8a59c8d7512fcb31f3ed-6356-4d58-a2f7-8a59c8d7512ffdf1c16e-187c-4ac3-9139-21099ed7b2d1fdf1c16e-187c-4ac3-9139-21099ed7b2d18c2c72fd-7294-425e-a5fc-1439e3a1be9f8c2c72fd-7294-425e-a5fc-1439e3a1be9f1008abde-3bf2-4640-b02a-b5d1b06a79591008abde-3bf2-4640-b02a-b5d1b06a795956baf0f8-f7dd-4e00-8d0e-a663190d2adef70cce71-8002-4835-8ec1-817e546178d67e02ca28-02d2-4bce-9b20-a43d716290fb56baf0f8-f7dd-4e00-8d0e-a663190d2adef70cce71-8002-4835-8ec1-817e546178d687fc5d57-6a7b-45fb-b269-21d73339fbca27d266a7-c783-4819-8a3b-e2b4f578fe03f70cce71-8002-4835-8ec1-817e546178d687fc5d57-6a7b-45fb-b269-21d73339fbcad789bfa2-b2ac-46bf-b6e5-54c009f32780f0df9d27-0712-4dc3-8c0a-871bf33b63ca87fc5d57-6a7b-45fb-b269-21d73339fbcad789bfa2-b2ac-46bf-b6e5-54c009f3278069c38036-d57d-4c9d-89ce-6449917b738a4ff14165-0e5e-4de2-aedd-6ed00afa2c2dd789bfa2-b2ac-46bf-b6e5-54c009f3278069c38036-d57d-4c9d-89ce-6449917b738a69c38036-d57d-4c9d-89ce-6449917b738a8381b466-054d-4df4-acaf-e2244e9c69b58381b466-054d-4df4-acaf-e2244e9c69b5c09c3629-3b9a-4165-9eea-89c301a4419ac09c3629-3b9a-4165-9eea-89c301a4419a503a0ade-1c2c-4fc9-b7ef-2ce3e82e6cf0503a0ade-1c2c-4fc9-b7ef-2ce3e82e6cf023d01f61-f0d9-47fa-8456-f698900dddaa23d01f61-f0d9-47fa-8456-f698900dddaa555c47f3-2726-44f2-9725-0f10a8948328555c47f3-2726-44f2-9725-0f10a89483285b8f06f3-18d4-425c-9458-b99dd74e48365b8f06f3-18d4-425c-9458-b99dd74e4836aaf7a9aa-aa5d-4be1-a979-1c8d03cabd25aaf7a9aa-aa5d-4be1-a979-1c8d03cabd25efcffa3f-5861-4a19-962a-5132ee288d10efcffa3f-5861-4a19-962a-5132ee288d10b4ed318a-adb2-4e1c-a513-79b6e8d8db1ab4ed318a-adb2-4e1c-a513-79b6e8d8db1a1cc3ddd7-b63d-4b07-9392-e5c6b3051f081cc3ddd7-b63d-4b07-9392-e5c6b3051f084c15ee27-7bb7-4d33-b7c1-cb3730fea01c4c15ee27-7bb7-4d33-b7c1-cb3730fea01cf1396995-5c8e-42df-86eb-de0b88aa943f4ff14165-0e5e-4de2-aedd-6ed00afa2c2d69c38036-d57d-4c9d-89ce-6449917b738af1396995-5c8e-42df-86eb-de0b88aa943f4ff14165-0e5e-4de2-aedd-6ed00afa2c2df0df9d27-0712-4dc3-8c0a-871bf33b63cad789bfa2-b2ac-46bf-b6e5-54c009f327804ff14165-0e5e-4de2-aedd-6ed00afa2c2df0df9d27-0712-4dc3-8c0a-871bf33b63ca27d266a7-c783-4819-8a3b-e2b4f578fe0387fc5d57-6a7b-45fb-b269-21d73339fbcaf0df9d27-0712-4dc3-8c0a-871bf33b63ca27d266a7-c783-4819-8a3b-e2b4f578fe037e02ca28-02d2-4bce-9b20-a43d716290fbf70cce71-8002-4835-8ec1-817e546178d627d266a7-c783-4819-8a3b-e2b4f578fe037e02ca28-02d2-4bce-9b20-a43d716290fb4876c01a-945e-4d00-8ab3-ca779d3e4f6dcb31f3ed-6356-4d58-a2f7-8a59c8d7512f7e02ca28-02d2-4bce-9b20-a43d716290fb4876c01a-945e-4d00-8ab3-ca779d3e4f6dd1782292-0dc1-4d63-97c7-18178ba2474720f04d29-3c83-4b95-a014-9e41e97d419f4876c01a-945e-4d00-8ab3-ca779d3e4f6dd1782292-0dc1-4d63-97c7-18178ba24747416ccf9e-0b22-44b4-b665-b035aef592ce8c36fe5d-6c55-499d-9af0-b3f280d69eb7d1782292-0dc1-4d63-97c7-18178ba2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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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