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

22b73827-b8e3-43da-b562-b5846b8946741c7daa78-1905-4b69-86a1-a7405ce702921c7daa78-1905-4b69-86a1-a7405ce702923ba7d6ef-97cc-4e55-addd-5898485c3d0ca2772fb0-2357-4cde-9e80-5b75a8475044a8522f60-479e-45c6-a86a-78309557a8ef3ba7d6ef-97cc-4e55-addd-5898485c3d0ca2772fb0-2357-4cde-9e80-5b75a8475044db17156f-9e4d-4292-9d13-4960064734fd07882c00-6c8d-43d8-a4bc-49a1462ff3aaa2772fb0-2357-4cde-9e80-5b75a8475044db17156f-9e4d-4292-9d13-4960064734fd3ef20546-cd8d-42e3-80e6-0eee2c6ad635e78f32c3-50f1-45b1-8dec-8b2a4b5a78eadb17156f-9e4d-4292-9d13-4960064734fd3ef20546-cd8d-42e3-80e6-0eee2c6ad6359310c8f0-893c-4a85-a7c8-7d4ff8a4ded7a862166f-5420-46f8-bdd5-f007b23d24053ef20546-cd8d-42e3-80e6-0eee2c6ad6359310c8f0-893c-4a85-a7c8-7d4ff8a4ded769763aab-bd3e-478a-8377-911ce247965a5e851844-48e1-4e51-a53d-95687b9455c79310c8f0-893c-4a85-a7c8-7d4ff8a4ded769763aab-bd3e-478a-8377-911ce247965a951c3ad8-b938-43a6-8851-865cebc241227bdcfb98-41bf-4aab-97cc-ef24ff583d3169763aab-bd3e-478a-8377-911ce247965a951c3ad8-b938-43a6-8851-865cebc24122aed1369b-929d-45a6-8cc5-adbb9249c6f63e289580-04d4-40ec-9d63-d9b01bfbdf31951c3ad8-b938-43a6-8851-865cebc24122aed1369b-929d-45a6-8cc5-adbb9249c6f6aed1369b-929d-45a6-8cc5-adbb9249c6f6b4bb73b6-1391-4d5f-ac09-ae8082d72cafe1a30439-fc69-40e1-ad77-8be1a904552424dbd9ca-c054-440d-a304-6e811ded60aeb4bb73b6-1391-4d5f-ac09-ae8082d72cafe1a30439-fc69-40e1-ad77-8be1a90455240856c177-d27f-4c99-964c-5546d4e438ec573c9e61-6498-4da5-a7a2-77fb2b2d9104e1a30439-fc69-40e1-ad77-8be1a90455240856c177-d27f-4c99-964c-5546d4e438ec0856c177-d27f-4c99-964c-5546d4e438eceef1ad1f-8997-43c9-af63-d4d1f9fb073d6de81b14-73ce-42d1-8a20-22d0a817607fe1682922-438b-4797-83dc-81e1fed55468eef1ad1f-8997-43c9-af63-d4d1f9fb073d6de81b14-73ce-42d1-8a20-22d0a817607f0d309a41-72b0-4558-a222-76a8bcd60b4e6e5d7ba7-36af-4ad1-a57a-e3cd80e766286de81b14-73ce-42d1-8a20-22d0a817607f0d309a41-72b0-4558-a222-76a8bcd60b4ee3202301-f58c-4acf-aed0-de0af19db5cb0be3e5bf-b99d-4a50-b4f3-869f8ee785880d309a41-72b0-4558-a222-76a8bcd60b4ee3202301-f58c-4acf-aed0-de0af19db5cb50d2729e-afdf-4dc8-988a-584843ae73ef4acf7190-9374-42d8-9461-ee17fd5a1de0e3202301-f58c-4acf-aed0-de0af19db5cb50d2729e-afdf-4dc8-988a-584843ae73ef9d147299-cc16-4d19-8e56-f39808844cbb1966d52a-1048-49ad-aaa2-e2ca01f2f76650d2729e-afdf-4dc8-988a-584843ae73ef9d147299-cc16-4d19-8e56-f39808844cbb9d147299-cc16-4d19-8e56-f39808844cbbaac945d9-f103-48ac-955b-5d08b0cc936aaac945d9-f103-48ac-955b-5d08b0cc936ac2483072-f1c7-462c-b465-4bbdd232af14c2483072-f1c7-462c-b465-4bbdd232af14a8744871-b523-421d-a993-880e8f4539b6a8744871-b523-421d-a993-880e8f4539b66d0f3dcb-854b-4423-91c4-18404a3b6402600fd807-a994-4c89-a6c2-4750e7ca4d5706cf843b-ab95-421c-83dd-e857c1ce93476d0f3dcb-854b-4423-91c4-18404a3b6402600fd807-a994-4c89-a6c2-4750e7ca4d57475f958d-5dd5-4d61-b120-c0be85678ec72b9d9470-4f6b-46fb-8b3f-8ac74fe06bf8600fd807-a994-4c89-a6c2-4750e7ca4d57475f958d-5dd5-4d61-b120-c0be85678ec7f9e53735-2d51-4ba8-b5e6-748f665ab12ba733eae3-3cba-4684-97df-baa020878bb9475f958d-5dd5-4d61-b120-c0be85678ec7f9e53735-2d51-4ba8-b5e6-748f665ab12b1f8ee95d-0213-452b-8e4f-50d747d6c6da582dba53-47da-436b-b824-c0aa4566d412f9e53735-2d51-4ba8-b5e6-748f665ab12b1f8ee95d-0213-452b-8e4f-50d747d6c6da1f8ee95d-0213-452b-8e4f-50d747d6c6da2bb3d371-b4c4-4cfb-9fb9-1c63d2f02e322bb3d371-b4c4-4cfb-9fb9-1c63d2f02e32a1e58ec7-5df5-4e87-ac42-20f6f73e467ba1e58ec7-5df5-4e87-ac42-20f6f73e467b8bce4f8a-954a-4a98-8c4a-5ed0c25d83968bce4f8a-954a-4a98-8c4a-5ed0c25d8396bae9e0a4-988f-4aa9-a9cb-398965934b82bae9e0a4-988f-4aa9-a9cb-398965934b82b254039c-a2ae-463b-b149-f2168993a1d9b254039c-a2ae-463b-b149-f2168993a1d9639b8c0d-4c6a-4452-95a0-cdcb6cf6c347639b8c0d-4c6a-4452-95a0-cdcb6cf6c347d0cd42f3-a88c-4187-a07c-a16da3858925d0cd42f3-a88c-4187-a07c-a16da385892515f0e575-5b3f-4029-b299-818f7b2bb04515f0e575-5b3f-4029-b299-818f7b2bb0451a546680-c96b-47c2-82cf-e23aeb2221701a546680-c96b-47c2-82cf-e23aeb22217096d5c8a2-d512-4bb8-a39c-d412fbf3e8be96d5c8a2-d512-4bb8-a39c-d412fbf3e8beb72fec30-3eb9-4623-b6ee-7b5e518acf02b72fec30-3eb9-4623-b6ee-7b5e518acf0215d13e8a-2a82-4180-8f25-0db2222d31b9582dba53-47da-436b-b824-c0aa4566d4121f8ee95d-0213-452b-8e4f-50d747d6c6da15d13e8a-2a82-4180-8f25-0db2222d31b9582dba53-47da-436b-b824-c0aa4566d412a733eae3-3cba-4684-97df-baa020878bb9f9e53735-2d51-4ba8-b5e6-748f665ab12b582dba53-47da-436b-b824-c0aa4566d412a733eae3-3cba-4684-97df-baa020878bb92b9d9470-4f6b-46fb-8b3f-8ac74fe06bf8475f958d-5dd5-4d61-b120-c0be85678ec7a733eae3-3cba-4684-97df-baa020878bb92b9d9470-4f6b-46fb-8b3f-8ac74fe06bf806cf843b-ab95-421c-83dd-e857c1ce9347600fd807-a994-4c89-a6c2-4750e7ca4d572b9d9470-4f6b-46fb-8b3f-8ac74fe06bf806cf843b-ab95-421c-83dd-e857c1ce93471966d52a-1048-49ad-aaa2-e2ca01f2f7669d147299-cc16-4d19-8e56-f39808844cbb06cf843b-ab95-421c-83dd-e857c1ce93471966d52a-1048-49ad-aaa2-e2ca01f2f7664acf7190-9374-42d8-9461-ee17fd5a1de050d2729e-afdf-4dc8-988a-584843ae73ef1966d52a-1048-49ad-aaa2-e2ca01f2f7664acf7190-9374-42d8-9461-ee17fd5a1de00be3e5bf-b99d-4a50-b4f3-869f8ee78588e3202301-f58c-4acf-aed0-de0af19db5cb4acf7190-9374-42d8-9461-ee17fd5a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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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