Precursor miRBase

cfa-mir-485 (MI0008146)

Accession MI0008146
Name cfa-mir-485
similar to following miRCarta precursors cfa-730.1
Organism Canis familiaris
Genome CanFam3.1
Location chr8:69,284,239-69,284,297 (+)
miRNA cfa-miR-485
Sequence (5' -> 3')
(59 nts)
AGAGGCUGGCCGUGAUGAAUUCGAUUCAUCAAAGCGAGUCAUACACGGCUCUCCUCUCU
MFE -25.00 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(13 precursors)
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
cfa-mir-409
cfa-mir-369
Family mir-485 (MIPF0000201)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR485
NCBI Gene 100885952

Predicted Structure

831881df-56fe-416b-abba-048cae2d80d006734f74-ff86-4352-9e24-5c0b01639e40c915c297-4570-47a0-951f-7eb0753e5f36fa8723ec-0d0c-464f-b2df-fcdc13372596831881df-56fe-416b-abba-048cae2d80d0c915c297-4570-47a0-951f-7eb0753e5f36bd40f3c1-4092-47ea-8041-f63816f74f685325eaf1-ef11-4632-b26c-026c62663ed3c915c297-4570-47a0-951f-7eb0753e5f36bd40f3c1-4092-47ea-8041-f63816f74f6894b02b2a-d913-4166-9d11-24f3a23e9cd9b7f5c4ea-432c-4f57-928e-fb3104eabe29bd40f3c1-4092-47ea-8041-f63816f74f6894b02b2a-d913-4166-9d11-24f3a23e9cd9ab89b034-b0af-41db-98dc-7b7f56e103f6d179bd6d-094b-4a2c-a884-d11bb9bc56b794b02b2a-d913-4166-9d11-24f3a23e9cd9ab89b034-b0af-41db-98dc-7b7f56e103f6ab89b034-b0af-41db-98dc-7b7f56e103f69436274f-ca3c-41d6-afbd-83ca0145f51c9436274f-ca3c-41d6-afbd-83ca0145f51c2e449fea-5830-4208-a80e-9d7826dbfbe9bcf3c915-3db5-4349-ab33-7ae0063300d650ff4caf-9a93-4351-b33d-7e9cd219b0332e449fea-5830-4208-a80e-9d7826dbfbe9bcf3c915-3db5-4349-ab33-7ae0063300d679de4789-8974-4348-b60b-7288971c9609b5c5ec25-ff38-4460-af09-98dadba413febcf3c915-3db5-4349-ab33-7ae0063300d679de4789-8974-4348-b60b-7288971c96096b50a9ec-aee6-4d27-bce5-7d1c4efc58c5c0daae03-1f8f-4548-b094-e28ddaa6b39579de4789-8974-4348-b60b-7288971c96096b50a9ec-aee6-4d27-bce5-7d1c4efc58c533db0295-3214-4bdc-b4db-69d9c39383f0168e5f16-aeae-4d8f-82a0-c9325dfea7ca6b50a9ec-aee6-4d27-bce5-7d1c4efc58c533db0295-3214-4bdc-b4db-69d9c39383f021991fcd-6b35-4182-8922-6ce041629c074db4c985-dd98-4d77-aa89-b9f8d883b6a733db0295-3214-4bdc-b4db-69d9c39383f021991fcd-6b35-4182-8922-6ce041629c0713e3e5e1-b44a-4505-a5e3-1d735a55ccc0a60b4f2b-c271-4856-bf54-088497d346e121991fcd-6b35-4182-8922-6ce041629c0713e3e5e1-b44a-4505-a5e3-1d735a55ccc09638fb42-4902-441a-82ef-d52ee1e0bed3f80371dc-f25c-4582-b13d-ed4a8005ffbd13e3e5e1-b44a-4505-a5e3-1d735a55ccc09638fb42-4902-441a-82ef-d52ee1e0bed3af042084-a192-4cbc-9415-708eb4eca3fdd07f9cc7-31c4-4460-9e5b-5cb09e36b85c9638fb42-4902-441a-82ef-d52ee1e0bed3af042084-a192-4cbc-9415-708eb4eca3fd78a9ee9d-20db-4d40-a7d8-5bbecc26e9120610a030-3867-45f6-acc7-36ddb7f52e37af042084-a192-4cbc-9415-708eb4eca3fd78a9ee9d-20db-4d40-a7d8-5bbecc26e9121b2effbc-3864-4726-9b08-163b1496133cca01a440-e635-4b30-afb7-c1c8f7d6f35778a9ee9d-20db-4d40-a7d8-5bbecc26e9121b2effbc-3864-4726-9b08-163b1496133c86bfce60-88c5-4954-bb18-435f5459e7a916ce3429-262e-4966-a2be-b642bbcdf8e71b2effbc-3864-4726-9b08-163b1496133c86bfce60-88c5-4954-bb18-435f5459e7a986bfce60-88c5-4954-bb18-435f5459e7a9987faf1a-f7f1-48b9-a7b3-c95013240583313faa0e-f2e3-47e4-86e2-5fad425f1807ea4b9f6d-a862-42d1-a0f3-2fe928a7e911987faf1a-f7f1-48b9-a7b3-c95013240583313faa0e-f2e3-47e4-86e2-5fad425f18077196afed-ffe2-4a77-a17c-19356c7241f90c9b0ce3-7e83-445b-802a-75c924b0a4ec313faa0e-f2e3-47e4-86e2-5fad425f18077196afed-ffe2-4a77-a17c-19356c7241f9a3ec24ad-800d-4c64-b9d5-f1030c25a0a271e00155-4e50-4468-add6-3e53f012d9457196afed-ffe2-4a77-a17c-19356c7241f9a3ec24ad-800d-4c64-b9d5-f1030c25a0a2d5de47eb-693f-4b9f-86a0-2a5ab0b4edd69bc922ae-796c-40ac-8277-c4b76845dd13a3ec24ad-800d-4c64-b9d5-f1030c25a0a2d5de47eb-693f-4b9f-86a0-2a5ab0b4edd6d5de47eb-693f-4b9f-86a0-2a5ab0b4edd6efaf8ccf-1c1f-4975-b441-6f36dd616fffefaf8ccf-1c1f-4975-b441-6f36dd616fff5c86e6e5-c8d5-460d-a7a0-53b3be243ee35c86e6e5-c8d5-460d-a7a0-53b3be243ee39587f368-e01c-4a24-b676-499781d106639587f368-e01c-4a24-b676-499781d106632b09b541-f8db-491c-92ba-bd20822fda372b09b541-f8db-491c-92ba-bd20822fda37afa24a33-23cc-4258-a42e-7cbe66547b57afa24a33-23cc-4258-a42e-7cbe66547b57f6380181-488c-47a1-8429-6479e6ac39c5f6380181-488c-47a1-8429-6479e6ac39c526dcf462-5999-4294-b30f-f7653ce2359126dcf462-5999-4294-b30f-f7653ce23591d7e56495-207b-44ec-87e4-a76f2fdfd74ad7e56495-207b-44ec-87e4-a76f2fdfd74ae2cc020f-4239-4073-80e5-ca0a6eca7c61e2cc020f-4239-4073-80e5-ca0a6eca7c616622ad5f-4ecc-478c-9693-09c563cce17b6622ad5f-4ecc-478c-9693-09c563cce17b28aa9d32-6bcb-4fb6-9c65-aa336acc4bfd9bc922ae-796c-40ac-8277-c4b76845dd13d5de47eb-693f-4b9f-86a0-2a5ab0b4edd628aa9d32-6bcb-4fb6-9c65-aa336acc4bfd9bc922ae-796c-40ac-8277-c4b76845dd1371e00155-4e50-4468-add6-3e53f012d945a3ec24ad-800d-4c64-b9d5-f1030c25a0a29bc922ae-796c-40ac-8277-c4b76845dd1371e00155-4e50-4468-add6-3e53f012d9450c9b0ce3-7e83-445b-802a-75c924b0a4ec7196afed-ffe2-4a77-a17c-19356c7241f971e00155-4e50-4468-add6-3e53f012d9450c9b0ce3-7e83-445b-802a-75c924b0a4ecea4b9f6d-a862-42d1-a0f3-2fe928a7e911313faa0e-f2e3-47e4-86e2-5fad425f18070c9b0ce3-7e83-445b-802a-75c924b0a4ecea4b9f6d-a862-42d1-a0f3-2fe928a7e91116ce3429-262e-4966-a2be-b642bbcdf8e786bfce60-88c5-4954-bb18-435f5459e7a9ea4b9f6d-a862-42d1-a0f3-2fe928a7e91116ce3429-262e-4966-a2be-b642bbcdf8e7ca01a440-e635-4b30-afb7-c1c8f7d6f3571b2effbc-3864-4726-9b08-163b1496133c16ce3429-262e-4966-a2be-b642bbcdf8e7ca01a440-e635-4b30-afb7-c1c8f7d6f3570610a030-3867-45f6-acc7-36ddb7f52e3778a9ee9d-20db-4d40-a7d8-5bbecc26e912ca01a440-e635-4b30-afb7-c1c8f7d6f3570610a030-3867-45f6-acc7-36ddb7f52e37d07f9cc7-31c4-4460-9e5b-5cb09e36b85caf042084-a192-4cbc-9415-708eb4eca3fd0610a030-3867-45f6-acc7-36ddb7f52e37d07f9cc7-31c4-4460-9e5b-5cb09e36b85cd07f9cc7-31c4-4460-9e5b-5cb09e36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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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