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

7e52569b-356c-4666-af2f-dc20771de19fa461c88a-acc6-464a-824b-407e09484248cb0d19db-3c17-4456-959c-c9cc6b80907d7c204a06-b14d-4555-af3d-992a9fb10fa87e52569b-356c-4666-af2f-dc20771de19fcb0d19db-3c17-4456-959c-c9cc6b80907d589168c9-c022-4fdb-85ad-5281ec7337aea5ff53a8-a4df-4663-8025-5f883fe3b9cccb0d19db-3c17-4456-959c-c9cc6b80907d589168c9-c022-4fdb-85ad-5281ec7337ae31ac8c73-a046-4156-90b4-15e987670fc2b395f530-7e0d-403a-aaba-98d005798164589168c9-c022-4fdb-85ad-5281ec7337ae31ac8c73-a046-4156-90b4-15e987670fc2eda991fb-9a6f-4705-9a0b-0e6dc70e95aa610de556-dd62-492b-953b-9614a8bf501e31ac8c73-a046-4156-90b4-15e987670fc2eda991fb-9a6f-4705-9a0b-0e6dc70e95aaeda991fb-9a6f-4705-9a0b-0e6dc70e95aa8b6c60f1-20d7-4fa4-8574-85de213d25ce8b6c60f1-20d7-4fa4-8574-85de213d25cee93ca69e-766d-485e-ae41-af0c30476ce6236bf986-f239-41a1-b653-257edf2c095e70036eae-2633-46c6-9a04-a1f779638abee93ca69e-766d-485e-ae41-af0c30476ce6236bf986-f239-41a1-b653-257edf2c095e8e65df4c-dda7-45f1-9f52-f88766a4a042f431302c-8dd2-443c-bc76-db6578d49456236bf986-f239-41a1-b653-257edf2c095e8e65df4c-dda7-45f1-9f52-f88766a4a0429036f08a-c4a3-4e2a-9e16-0eba12ea0d7aba331083-3282-47b1-8e51-86c5f15a0a7e8e65df4c-dda7-45f1-9f52-f88766a4a0429036f08a-c4a3-4e2a-9e16-0eba12ea0d7aac15d624-2188-4d71-a92d-61ed48663a9f6b01a846-e7ed-422b-9e41-f673a110e44e9036f08a-c4a3-4e2a-9e16-0eba12ea0d7aac15d624-2188-4d71-a92d-61ed48663a9f95004823-f9e2-4d58-afac-fb7afdaf0b2a5b0b2d77-51d6-4e69-b95f-608195c1283eac15d624-2188-4d71-a92d-61ed48663a9f95004823-f9e2-4d58-afac-fb7afdaf0b2a3b6fb08a-bc20-46aa-9e0e-5dc516571b2471a15def-b0d5-4130-bb60-e0e8e1a8ba6795004823-f9e2-4d58-afac-fb7afdaf0b2a3b6fb08a-bc20-46aa-9e0e-5dc516571b2404de333c-4073-4e1a-9291-4c7e3b379a67804c7a26-c0b0-45af-8a2a-8aa05541bc4f3b6fb08a-bc20-46aa-9e0e-5dc516571b2404de333c-4073-4e1a-9291-4c7e3b379a6714239776-a36f-4a89-ab94-1dd14a89d05e47ff60b3-3771-4a40-bc46-e083f3a8e10e04de333c-4073-4e1a-9291-4c7e3b379a6714239776-a36f-4a89-ab94-1dd14a89d05e2132374d-a275-4904-8ed2-0548d66b92d7eaff1249-e338-4eb2-bc3a-1b27b7688ca514239776-a36f-4a89-ab94-1dd14a89d05e2132374d-a275-4904-8ed2-0548d66b92d7acfe6af3-5974-4c67-84d2-fcfcfbde469f548d5a73-3183-425b-bbfc-3e54f9e21a982132374d-a275-4904-8ed2-0548d66b92d7acfe6af3-5974-4c67-84d2-fcfcfbde469fdb7b31b2-97be-4b1f-886a-357062d840a103b530ea-27da-4678-a989-d1e79a442873acfe6af3-5974-4c67-84d2-fcfcfbde469fdb7b31b2-97be-4b1f-886a-357062d840a1db7b31b2-97be-4b1f-886a-357062d840a1495ec59d-2626-4b59-b9ed-e9cecdcb629b1a78759d-2e74-4736-941e-516131848b944c905237-a811-439c-b82a-8678f89d6da7495ec59d-2626-4b59-b9ed-e9cecdcb629b1a78759d-2e74-4736-941e-516131848b94261fe773-6967-402b-8de4-6bed92a3f2ee49064d95-b5fb-4143-ae03-f0c3eb1bc2c71a78759d-2e74-4736-941e-516131848b94261fe773-6967-402b-8de4-6bed92a3f2eec4654cbe-f9ec-40c9-8fed-a0f817233145c2bf0930-e2af-4058-adb6-324ad42f3380261fe773-6967-402b-8de4-6bed92a3f2eec4654cbe-f9ec-40c9-8fed-a0f8172331454da438de-5a2f-4254-8cd1-70cf2a85ffa8288cd451-fe80-48f5-ba13-287794f4d6fbc4654cbe-f9ec-40c9-8fed-a0f8172331454da438de-5a2f-4254-8cd1-70cf2a85ffa84da438de-5a2f-4254-8cd1-70cf2a85ffa89f434a5c-5d5a-448c-b255-5e47c86084339f434a5c-5d5a-448c-b255-5e47c86084330d854720-78fc-4af1-9df4-4e4e0a0b0f600d854720-78fc-4af1-9df4-4e4e0a0b0f60b3885fef-7662-4854-8569-2216826d6c2db3885fef-7662-4854-8569-2216826d6c2d38e99dc7-c8f3-4bfb-af4f-31df7e03008f38e99dc7-c8f3-4bfb-af4f-31df7e03008f15d826f0-2710-4e4d-bff1-6012a602e85115d826f0-2710-4e4d-bff1-6012a602e85114606a12-cf7e-4f22-a001-9a77f6ae4ab714606a12-cf7e-4f22-a001-9a77f6ae4ab780bf25b9-1bd9-4199-80a0-44e3e02b1b2780bf25b9-1bd9-4199-80a0-44e3e02b1b27c620a7d1-119f-4635-b056-c8acbdb9df89c620a7d1-119f-4635-b056-c8acbdb9df896227e861-55e4-4b91-a560-da0c770c3eb06227e861-55e4-4b91-a560-da0c770c3eb014073bed-ed6d-4cd7-8504-8317a157fdf114073bed-ed6d-4cd7-8504-8317a157fdf1385bdc7a-b429-43f9-898e-ba392396bedc288cd451-fe80-48f5-ba13-287794f4d6fb4da438de-5a2f-4254-8cd1-70cf2a85ffa8385bdc7a-b429-43f9-898e-ba392396bedc288cd451-fe80-48f5-ba13-287794f4d6fbc2bf0930-e2af-4058-adb6-324ad42f3380c4654cbe-f9ec-40c9-8fed-a0f817233145288cd451-fe80-48f5-ba13-287794f4d6fbc2bf0930-e2af-4058-adb6-324ad42f338049064d95-b5fb-4143-ae03-f0c3eb1bc2c7261fe773-6967-402b-8de4-6bed92a3f2eec2bf0930-e2af-4058-adb6-324ad42f338049064d95-b5fb-4143-ae03-f0c3eb1bc2c74c905237-a811-439c-b82a-8678f89d6da71a78759d-2e74-4736-941e-516131848b9449064d95-b5fb-4143-ae03-f0c3eb1bc2c74c905237-a811-439c-b82a-8678f89d6da703b530ea-27da-4678-a989-d1e79a442873db7b31b2-97be-4b1f-886a-357062d840a14c905237-a811-439c-b82a-8678f89d6da703b530ea-27da-4678-a989-d1e79a442873548d5a73-3183-425b-bbfc-3e54f9e21a98acfe6af3-5974-4c67-84d2-fcfcfbde469f03b530ea-27da-4678-a989-d1e79a442873548d5a73-3183-425b-bbfc-3e54f9e21a98eaff1249-e338-4eb2-bc3a-1b27b7688ca52132374d-a275-4904-8ed2-0548d66b92d7548d5a73-3183-425b-bbfc-3e54f9e21a98eaff1249-e338-4eb2-bc3a-1b27b7688ca547ff60b3-3771-4a40-bc46-e083f3a8e10e14239776-a36f-4a89-ab94-1dd14a89d05eeaff1249-e338-4eb2-bc3a-1b27b7688ca547ff60b3-3771-4a40-bc46-e083f3a8e10e47ff60b3-3771-4a40-bc46-e083f3a8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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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