Precursor miRBase

cfa-mir-382 (MI0008145)

Accession MI0008145
Name cfa-mir-382
similar to following miRCarta precursors cfa-513.1
Organism Canis familiaris
Genome CanFam3.1
Location chr8:69,283,123-69,283,179 (+)
miRNA cfa-miR-382
Sequence (5' -> 3')
(57 nts)
AAGUUGUUCGUGGUGGAUUCGCUUUACUUAUGACGAAUCAUUCACGGACAACACUUU
MFE -22.40 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(12 precursors)
cfa-mir-1185
cfa-mir-381
cfa-mir-487b
cfa-mir-539
cfa-mir-889
cfa-mir-544
cfa-mir-487a
cfa-mir-382
cfa-mir-134
cfa-mir-485
cfa-mir-496
cfa-mir-377
Family mir-154 (MIPF0000018)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR382
NCBI Gene 100885951

Predicted Structure

8d7117ce-7783-44e3-a5be-b57163f7dfb951951894-548c-4297-8f92-afda8c97edeb6a676473-3408-438b-8bc4-adbdb3394aae6642e151-bf79-4e62-a6c3-4842b057dcf951951894-548c-4297-8f92-afda8c97edeb6a676473-3408-438b-8bc4-adbdb3394aae42b2aecc-4695-480b-b707-1a47dbc0acbe12fa4973-4a9b-443f-a974-79f894f2e7786a676473-3408-438b-8bc4-adbdb3394aae42b2aecc-4695-480b-b707-1a47dbc0acbe13510232-a233-4bc0-8364-242e72f245c27cd66495-b8fb-4ff0-99c5-2302eda6b0e642b2aecc-4695-480b-b707-1a47dbc0acbe13510232-a233-4bc0-8364-242e72f245c2fbc86aef-433b-4b88-bc7b-b2af102e3af752c4334c-d513-4b46-afe8-362c14acd24113510232-a233-4bc0-8364-242e72f245c2fbc86aef-433b-4b88-bc7b-b2af102e3af7c8223116-bfbf-4480-b4b1-46af1c515005b2699e2d-216b-434e-ae74-3a14c33ae5bafbc86aef-433b-4b88-bc7b-b2af102e3af7c8223116-bfbf-4480-b4b1-46af1c515005984b71e1-4a00-471c-bd86-bb33fad81de27c5cd8ae-91eb-4434-9e70-1f637d1d2153c8223116-bfbf-4480-b4b1-46af1c515005984b71e1-4a00-471c-bd86-bb33fad81de2752f0aa7-36da-4ec8-8df0-ead9bcf285845dcad244-eaaf-4333-93ce-31042b0d8a15984b71e1-4a00-471c-bd86-bb33fad81de2752f0aa7-36da-4ec8-8df0-ead9bcf28584378676fa-457b-4446-93ad-ed2d2b11d94b48fda277-a960-43b2-94e3-497a414833cb752f0aa7-36da-4ec8-8df0-ead9bcf28584378676fa-457b-4446-93ad-ed2d2b11d94b93cb1e8c-8b85-461f-9e9d-38e0531ea213a020fc7f-ffb5-4e32-9cc9-5251017b6ed8378676fa-457b-4446-93ad-ed2d2b11d94b93cb1e8c-8b85-461f-9e9d-38e0531ea213ac42483a-bcaa-489b-ad96-f3548a2427bec64ef7cd-825a-40ba-8f62-2022c8391e7c93cb1e8c-8b85-461f-9e9d-38e0531ea213ac42483a-bcaa-489b-ad96-f3548a2427be80841610-c6ac-479d-a0c7-76bab04b61122c24215d-2788-4c0b-84a2-fa00306a88daac42483a-bcaa-489b-ad96-f3548a2427be80841610-c6ac-479d-a0c7-76bab04b611280841610-c6ac-479d-a0c7-76bab04b6112e652ea78-82f3-467d-a7d2-c82bf382a188e652ea78-82f3-467d-a7d2-c82bf382a18871541c4f-e4c6-47ae-91ea-7b3bc3fba3f76a23cc1c-1ce0-4613-8d0c-a8a8906993dcb602db46-a963-47ad-a6cc-104f8175306671541c4f-e4c6-47ae-91ea-7b3bc3fba3f76a23cc1c-1ce0-4613-8d0c-a8a8906993dc84c5175c-2355-4332-add7-000a5b49e99269072d18-9525-4777-8f5c-34c0391c62b36a23cc1c-1ce0-4613-8d0c-a8a8906993dc84c5175c-2355-4332-add7-000a5b49e99296de758a-e937-4227-b0a4-d0f7f8a75a0347dd7f9a-db77-45fe-9015-81468004818084c5175c-2355-4332-add7-000a5b49e99296de758a-e937-4227-b0a4-d0f7f8a75a03e0e87923-04dc-4ef8-b6d3-2cfadb9dee54d83f4f21-806a-4076-9ea0-462030e0bc1896de758a-e937-4227-b0a4-d0f7f8a75a03e0e87923-04dc-4ef8-b6d3-2cfadb9dee54e00f632b-1338-4541-b7d6-6ffafeb0ddbb44171a9a-e18c-4f30-85eb-504259f1b960e0e87923-04dc-4ef8-b6d3-2cfadb9dee54e00f632b-1338-4541-b7d6-6ffafeb0ddbb6d8b24b4-20dd-4443-91be-dc92d9d41b8901f389f5-757b-4a48-8e24-b22df9171432e00f632b-1338-4541-b7d6-6ffafeb0ddbb6d8b24b4-20dd-4443-91be-dc92d9d41b896d8b24b4-20dd-4443-91be-dc92d9d41b89e2c25eb4-8303-4000-9cad-44fa84df662372e9ee90-525f-40bd-a60c-350b4357f959b8d508ca-c1a3-4607-83ab-76c3dba372b6e2c25eb4-8303-4000-9cad-44fa84df662372e9ee90-525f-40bd-a60c-350b4357f959ae838b9a-4b40-4eb6-b7a4-7939faaa6f5ac15ab07f-3ad0-4cbf-93c2-7c0a428a68c172e9ee90-525f-40bd-a60c-350b4357f959ae838b9a-4b40-4eb6-b7a4-7939faaa6f5aae838b9a-4b40-4eb6-b7a4-7939faaa6f5abe24f7f8-36de-4d65-87bb-17f54acf34ebbe24f7f8-36de-4d65-87bb-17f54acf34eb2e59bf61-a201-4184-b1bc-9328987801752e59bf61-a201-4184-b1bc-93289878017508a0c881-7082-4804-9ed6-434a8249fe6508a0c881-7082-4804-9ed6-434a8249fe65b88d0bc1-ce6a-44f8-b485-e33b4b4f0085b88d0bc1-ce6a-44f8-b485-e33b4b4f008580adeb79-0539-4bc3-a7fa-83fa1fe65a9e80adeb79-0539-4bc3-a7fa-83fa1fe65a9e5c8f0ee4-f02a-44bf-b7a8-451b3de44afe5c8f0ee4-f02a-44bf-b7a8-451b3de44afe9e28e4f9-fc5e-44ef-bfcb-910659b711c1c15ab07f-3ad0-4cbf-93c2-7c0a428a68c1ae838b9a-4b40-4eb6-b7a4-7939faaa6f5a9e28e4f9-fc5e-44ef-bfcb-910659b711c1c15ab07f-3ad0-4cbf-93c2-7c0a428a68c1b8d508ca-c1a3-4607-83ab-76c3dba372b672e9ee90-525f-40bd-a60c-350b4357f959c15ab07f-3ad0-4cbf-93c2-7c0a428a68c1b8d508ca-c1a3-4607-83ab-76c3dba372b601f389f5-757b-4a48-8e24-b22df91714326d8b24b4-20dd-4443-91be-dc92d9d41b89b8d508ca-c1a3-4607-83ab-76c3dba372b601f389f5-757b-4a48-8e24-b22df917143244171a9a-e18c-4f30-85eb-504259f1b960e00f632b-1338-4541-b7d6-6ffafeb0ddbb01f389f5-757b-4a48-8e24-b22df917143244171a9a-e18c-4f30-85eb-504259f1b960d83f4f21-806a-4076-9ea0-462030e0bc18e0e87923-04dc-4ef8-b6d3-2cfadb9dee5444171a9a-e18c-4f30-85eb-504259f1b960d83f4f21-806a-4076-9ea0-462030e0bc1847dd7f9a-db77-45fe-9015-81468004818096de758a-e937-4227-b0a4-d0f7f8a75a03d83f4f21-806a-4076-9ea0-462030e0bc1847dd7f9a-db77-45fe-9015-81468004818069072d18-9525-4777-8f5c-34c0391c62b384c5175c-2355-4332-add7-000a5b49e99247dd7f9a-db77-45fe-9015-81468004818069072d18-9525-4777-8f5c-34c0391c62b3b602db46-a963-47ad-a6cc-104f817530666a23cc1c-1ce0-4613-8d0c-a8a8906993dc69072d18-9525-4777-8f5c-34c0391c62b3b602db46-a963-47ad-a6cc-104f81753066b602db46-a963-47ad-a6cc-104f817530662f1125dd-d862-4c7c-b176-8d943fe5bdf82f1125dd-d862-4c7c-b176-8d943fe5bdf8f1ef9879-811f-4fbe-a545-e07cf64d2a3c2c24215d-2788-4c0b-84a2-fa00306a88da80841610-c6ac-479d-a0c7-76bab04b6112f1ef9879-811f-4fbe-a545-e07cf64d2a3c2c24215d-2788-4c0b-84a2-fa00306a88dac64ef7cd-825a-40ba-8f62-2022c839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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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