Precursor miRBase

cfa-mir-23b (MI0008008)

Accession MI0008008
Name cfa-mir-23b
similar to following miRCarta precursors cfa-42.1
Organism Canis familiaris
Genome CanFam3.1
Location chr1:71,678,353-71,678,406 (-)
miRNA cfa-miR-23b
Sequence (5' -> 3')
(54 nts)
GUUCCUGGCAUGCUGAUUUGUGACUUAAGAUUAAAAUCACAUUGCCAGGGAUUA
MFE -19.90 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(3 precursors)
cfa-mir-24-1
cfa-mir-27b
cfa-mir-23b
Family mir-23 (MIPF0000027)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR23B
NCBI Gene 100885881

Predicted Structure

7083bcd2-40b9-4c7b-9497-e12ca4707f657a41e54a-d20a-45e2-b3c5-4d10068f1f11088fb4e0-68ec-49c3-bf9e-f3b988c2625b85b1a924-0021-4ffe-bed7-21ec018255c07083bcd2-40b9-4c7b-9497-e12ca4707f65088fb4e0-68ec-49c3-bf9e-f3b988c2625b3a793e49-4ac4-4743-97fd-774a65af3833f46a74e7-2419-471e-9bc7-3d2a74ec8a8c088fb4e0-68ec-49c3-bf9e-f3b988c2625b3a793e49-4ac4-4743-97fd-774a65af3833cb7c1e37-a9b5-4128-80d2-d052a9af791c80939d58-cb08-4b58-8e44-a27c7b422c163a793e49-4ac4-4743-97fd-774a65af3833cb7c1e37-a9b5-4128-80d2-d052a9af791c028e2fb3-2ee0-4cd8-984c-33d37529f7e69f7024d7-79b1-48d0-a003-85e00773b903cb7c1e37-a9b5-4128-80d2-d052a9af791c028e2fb3-2ee0-4cd8-984c-33d37529f7e6740cc774-d4db-4eac-a368-03f592469ad5d473dedf-e63f-4af4-bbf7-fbc4c7d5eee4028e2fb3-2ee0-4cd8-984c-33d37529f7e6740cc774-d4db-4eac-a368-03f592469ad5d41a90e5-8c8e-4f89-a398-94cbf9aa9afa83675528-ca8d-44f4-b490-cbdee5c36f22740cc774-d4db-4eac-a368-03f592469ad5d41a90e5-8c8e-4f89-a398-94cbf9aa9afa145d7ba0-8c51-43ec-b495-6c35da93b1eb4cfd3800-fdd7-49b5-878d-97c890f7a341d41a90e5-8c8e-4f89-a398-94cbf9aa9afa145d7ba0-8c51-43ec-b495-6c35da93b1eb651a2dae-e31d-40ab-b295-c9b30f9f275777178029-d977-47eb-96ed-b7c74f8d933c145d7ba0-8c51-43ec-b495-6c35da93b1eb651a2dae-e31d-40ab-b295-c9b30f9f2757f288110f-c3cc-4767-a4e9-fe991e3d16bc736b8f79-4596-477d-a927-9ff4f9df97b5651a2dae-e31d-40ab-b295-c9b30f9f2757f288110f-c3cc-4767-a4e9-fe991e3d16bca1ee56ff-89e5-48fc-a392-49abf8a6a3a1045b9e82-0267-42d7-929b-472a63ba49bcf288110f-c3cc-4767-a4e9-fe991e3d16bca1ee56ff-89e5-48fc-a392-49abf8a6a3a1428d8c40-2177-4d5b-bc09-88e89c798bb54c92debc-9796-4c5d-9927-99b235d55bd2a1ee56ff-89e5-48fc-a392-49abf8a6a3a1428d8c40-2177-4d5b-bc09-88e89c798bb5428d8c40-2177-4d5b-bc09-88e89c798bb5b6640cca-ea70-4fe5-ab08-af0e56b9fc910eb40936-44c2-49e8-9143-1a7421d46704fd952119-d080-4ce1-9e06-c31bf538d852b6640cca-ea70-4fe5-ab08-af0e56b9fc910eb40936-44c2-49e8-9143-1a7421d4670462ef70b9-09c8-4475-bb7c-3b1a582aca3a48d1d718-4474-41bf-9c4c-53658c4213e80eb40936-44c2-49e8-9143-1a7421d4670462ef70b9-09c8-4475-bb7c-3b1a582aca3a8952c37e-a841-4455-9c6d-f6de892c0f32d03ef5dd-8c26-45d3-8441-0774285fdc2e62ef70b9-09c8-4475-bb7c-3b1a582aca3a8952c37e-a841-4455-9c6d-f6de892c0f32d7afdf02-6134-4033-a710-801d34020350d427892a-45f1-4a35-ae1a-fc261685e8798952c37e-a841-4455-9c6d-f6de892c0f32d7afdf02-6134-4033-a710-801d3402035040e08bc6-452b-4e41-9762-df8a47af2335e8e3d0a8-bd6f-49f9-925a-bcb312fd7a43d7afdf02-6134-4033-a710-801d3402035040e08bc6-452b-4e41-9762-df8a47af233575cb0150-0c5f-4785-8bd8-62c466a7d8fac5b93bd5-b7a4-475e-a4ab-25f2ba0aac0740e08bc6-452b-4e41-9762-df8a47af233575cb0150-0c5f-4785-8bd8-62c466a7d8fa75cb0150-0c5f-4785-8bd8-62c466a7d8fa83ba9d12-572d-4486-b302-2834e5fa1bb183ba9d12-572d-4486-b302-2834e5fa1bb1586993d7-b966-4d13-8ebf-79777fa774ab586993d7-b966-4d13-8ebf-79777fa774abbfac4d8c-aad4-44c3-a053-9fe6b111af9dbfac4d8c-aad4-44c3-a053-9fe6b111af9d9f7a1b0a-d8e9-4db4-a756-2e8ce73232289f7a1b0a-d8e9-4db4-a756-2e8ce732322844a1ae84-3a9e-4669-964f-e5f0b4a4f01c44a1ae84-3a9e-4669-964f-e5f0b4a4f01c9d110456-f393-48c7-9e8d-0662f7e447be9d110456-f393-48c7-9e8d-0662f7e447befe6c171c-4e39-4f53-b587-b0c92be47956fe6c171c-4e39-4f53-b587-b0c92be47956c8ceaf2d-f2fd-4f52-8848-0f4c2abdfc46c8ceaf2d-f2fd-4f52-8848-0f4c2abdfc462875bca2-bf66-4027-818e-25fc5c5b625f2875bca2-bf66-4027-818e-25fc5c5b625f8e66b4d6-fd4e-48be-848b-3138da4e45038e66b4d6-fd4e-48be-848b-3138da4e45038c2a4b10-5fd0-4cba-9d1f-18e413a1018e8c2a4b10-5fd0-4cba-9d1f-18e413a1018e9d136bfa-82db-41e1-a21f-b2e205f464569d136bfa-82db-41e1-a21f-b2e205f46456cdcfaca7-9354-44b6-a6ec-6cdeabc5f327cdcfaca7-9354-44b6-a6ec-6cdeabc5f327ce0267e7-4a9e-4f41-930e-bff9e5647fc7c5b93bd5-b7a4-475e-a4ab-25f2ba0aac0775cb0150-0c5f-4785-8bd8-62c466a7d8face0267e7-4a9e-4f41-930e-bff9e5647fc7c5b93bd5-b7a4-475e-a4ab-25f2ba0aac07e8e3d0a8-bd6f-49f9-925a-bcb312fd7a4340e08bc6-452b-4e41-9762-df8a47af2335c5b93bd5-b7a4-475e-a4ab-25f2ba0aac07e8e3d0a8-bd6f-49f9-925a-bcb312fd7a43d427892a-45f1-4a35-ae1a-fc261685e879d7afdf02-6134-4033-a710-801d34020350e8e3d0a8-bd6f-49f9-925a-bcb312fd7a43d427892a-45f1-4a35-ae1a-fc261685e879d03ef5dd-8c26-45d3-8441-0774285fdc2e8952c37e-a841-4455-9c6d-f6de892c0f32d427892a-45f1-4a35-ae1a-fc261685e879d03ef5dd-8c26-45d3-8441-0774285fdc2e48d1d718-4474-41bf-9c4c-53658c4213e862ef70b9-09c8-4475-bb7c-3b1a582aca3ad03ef5dd-8c26-45d3-8441-0774285fdc2e48d1d718-4474-41bf-9c4c-53658c4213e8fd952119-d080-4ce1-9e06-c31bf538d8520eb40936-44c2-49e8-9143-1a7421d4670448d1d718-4474-41bf-9c4c-53658c4213e8fd952119-d080-4ce1-9e06-c31bf538d8524c92debc-9796-4c5d-9927-99b235d55bd2428d8c40-2177-4d5b-bc09-88e89c798bb5fd952119-d080-4ce1-9e06-c31bf538d8524c92debc-9796-4c5d-9927-99b235d55bd2045b9e82-0267-42d7-929b-472a63ba49bca1ee56ff-89e5-48fc-a392-49abf8a6a3a14c92debc-9796-4c5d-9927-99b235d55bd2045b9e82-0267-42d7-929b-472a63ba49bc045b9e82-0267-42d7-929b-472a63ba49bc173be224-f302-491f-bd0e-e04402b161d9736b8f79-4596-477d-a927-9ff4f9df97b5f288110f-c3cc-4767-a4e9-fe991e3d16bc173be224-f302-491f-bd0e-e04402b161d9736b8f79-4596-477d-a927-9ff4f9df97b577178029-d977-47eb-96ed-b7c74f8d933c651a2dae-e31d-40ab-b295-c9b30f9f2757736b8f79-4596-477d-a927-9ff4f9df97b577178029-d977-47eb-96ed-b7c74f8d933c4cfd3800-fdd7-49b5-878d-97c890f7a341145d7ba0-8c51-43ec-b495-6c35da93b1eb77178029-d977-47eb-96ed-b7c74f8d933c4cfd3800-fdd7-49b5-878d-97c890f7a34183675528-ca8d-44f4-b490-cbdee5c36f22d41a90e5-8c8e-4f89-a398-94cbf9aa9afa4cfd3800-fdd7-49b5-878d-97c890f7a34183675528-ca8d-44f4-b490-cbdee5c36f22d473dedf-e63f-4af4-bbf7-fbc4c7d5eee4740cc774-d4db-4eac-a368-03f592469ad583675528-ca8d-44f4-b490-cbdee5c36f22d473dedf-e63f-4af4-bbf7-fbc4c7d5eee49f7024d7-79b1-48d0-a003-85e00773b903028e2fb3-2ee0-4cd8-984c-33d37529f7e6d473dedf-e63f-4af4-bbf7-fbc4c7d5eee49f7024d7-79b1-48d0-a003-85e00773b90380939d58-cb08-4b58-8e44-a27c7b422c16cb7c1e37-a9b5-4128-80d2-d052a9af791c9f7024d7-79b1-48d0-a003-85e00773b90380939d58-cb08-4b58-8e44-a27c7b422c16f46a74e7-2419-471e-9bc7-3d2a74ec8a8c3a793e49-4ac4-4743-97fd-774a65af383380939d58-cb08-4b58-8e44-a27c7b422c16f46a74e7-2419-471e-9bc7-3d2a74ec8a8c85b1a924-0021-4ffe-bed7-21ec018255c0088fb4e0-68ec-49c3-bf9e-f3b988c2625bf46a74e7-2419-471e-9bc7-3d2a74ec8a8c85b1a924-0021-4ffe-bed7-21ec018255c07a41e54a-d20a-45e2-b3c5-4d10068f1f117083bcd2-40b9-4c7b-9497-e12ca4707f6585b1a924-0021-4ffe-bed7-21ec018255c07a41e54a-d20a-45e2-b3c5-4d10068f1f117a41e54a-d20a-45e2-b3c5-4d10068f1f114a8f3ab6-4bc5-4a5d-bf1e-1459f67347ae4a8f3ab6-4bc5-4a5d-bf1e-1459f67347aec5a91145-6651-4af8-91b5-f2be469cc703f288110f-c3cc-4767-a4e9-fe991e3d16bc1b5a18af-8e56-48c0-a569-beaf830dcadd83ba9d12-572d-4486-b302-2834e5fa1bb149151643-5209-4b9e-a661-57938cbcfc7c8c2a4b10-5fd0-4cba-9d1f-18e413a1018e98a16b39-40f5-4dcc-9d31-bc4de50d496a4c92debc-9796-4c5d-9927-99b235d55bd2d0b13052-6e24-4b09-b0b4-b0e20148909bf46a74e7-2419-471e-9bc7-3d2a74ec8a8c083ab240-3e3f-4a40-9ae6-aa03280eaa1cempty:1empty:1Gempty:1empty:2empty:2Uempty:2empty:3empty:3Uempty:3empty:4empty:4Cempty:4empty:5empty:5Cempty:5empty:6empty:6Uempty:6empty:7empty:7Gempty:7empty:8empty:8Gempty:8empty:9empty:9Cempty:9empty:10empty:10Aempty:10empty:11empty:11Uempty:11empty:12empty:12Gempty:12empty:13empty:13Cempty:13empty:14empty:14Uempty:14empty:15empty:15Gempty:15empty:16empty:16Aempty:16empty:17empty:17Uempty:17empty:18empty:18Uempty:18empty:19empty:19Uempty:19empty:20empty:20Gempty:20empty:21empty:21Uempty:21empty:22empty:22Gempty:22empty:23empty:23Aempty:23empty:24empty:24Cempty:24empty:25empty:25Uempty:25empty:26empty:26Uempty:26empty:27empty:27Aempty:27empty:28empty:28Aempty:28empty:29empty:29Gempty:29empty:30empty:30Aempty:30empty:31empty:31Uempty:31empty:32empty:32Uempty:32empty:33empty:33Aempty:33empty:34empty:34Aempty:34empty:35empty:35Aempty:35cfa-miR-23bempty:36Acfa-miR-23bcfa-miR-23bempty:37Ucfa-miR-23bcfa-miR-23bempty:38Ccfa-miR-23bcfa-miR-23bempty:39Acfa-miR-23bcfa-miR-23bempty:40Ccfa-miR-23bcfa-miR-23bempty:41Acfa-miR-23bcfa-miR-23bempty:42Ucfa-miR-23bcfa-miR-23bempty:43Ucfa-miR-23bcfa-miR-23bempty:44Gcfa-miR-23bcfa-miR-23bempty:45Ccfa-miR-23bcfa-miR-23bempty:46Ccfa-miR-23bcfa-miR-23bempty:47Acfa-miR-23bcfa-miR-23bempty:48Gcfa-miR-23bcfa-miR-23bempty:49Gcfa-miR-23bcfa-miR-23bempty:50Gcfa-miR-23bcfa-miR-23bempty:51Acfa-miR-23bcfa-miR-23bempty:52Ucfa-miR-23bcfa-miR-23bempty:53Ucfa-miR-23bcfa-miR-23bempty:54Acfa-miR-23b1020304050

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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