Precursor miRBase

cfa-mir-487b (MI0008144)

Accession MI0008144
Name cfa-mir-487b
similar to following miRCarta precursors cfa-383.1
Organism Canis familiaris
Genome CanFam3.1
Location chr8:69,275,496-69,275,553 (+)
miRNA cfa-miR-487b
Sequence (5' -> 3')
(58 nts)
GUGGUUAUCCCUGUCCUGUUCGUUUUACUCAUGUCGAAUCGUACAGGGUCAUCCACUU
MFE -19.30 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(17 precursors)
cfa-mir-3958
cfa-mir-376a-3
cfa-mir-376c
cfa-mir-376a-2
cfa-mir-376b
cfa-mir-376a-1
cfa-mir-300
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
Family mir-154 (MIPF0000018)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR487B
NCBI Gene 100886057

Predicted Structure

8463143e-81a5-460c-9914-5b1d0049eab85bd69c0d-882c-42af-a05b-03f4e4f53986ba9438ac-6606-48ce-91a0-5dbcdc97c7ff277f0351-7782-4687-a917-da45db1191858463143e-81a5-460c-9914-5b1d0049eab8ba9438ac-6606-48ce-91a0-5dbcdc97c7ff3c761586-d170-4835-ae1e-da8dfd34158c535c12b9-f0f1-4835-a99a-c5b63b3641f6ba9438ac-6606-48ce-91a0-5dbcdc97c7ff3c761586-d170-4835-ae1e-da8dfd34158c326f2164-ab9d-4b1e-bb00-0476433585cabdaf814f-7430-40da-8507-d34d6ddd83bd3c761586-d170-4835-ae1e-da8dfd34158c326f2164-ab9d-4b1e-bb00-0476433585ca326f2164-ab9d-4b1e-bb00-0476433585caf7784482-665e-4dbd-bba9-fe41c4d93b21f7784482-665e-4dbd-bba9-fe41c4d93b217fe036c5-5057-4294-bc8c-9d2341a8b06e7fe036c5-5057-4294-bc8c-9d2341a8b06e59284b10-4001-4555-a92e-f7f07c0ad44959284b10-4001-4555-a92e-f7f07c0ad449d548f9ff-70b3-4071-ad1d-4ad4e34ac616d44d4f3c-cfcf-4321-8385-4819660ec900a4eab047-2b5e-4e76-a782-e1c98ebf9b1fd548f9ff-70b3-4071-ad1d-4ad4e34ac616d44d4f3c-cfcf-4321-8385-4819660ec900f90bd6fe-392e-4287-8557-1d8f883fc87d628d8f68-2e26-41d9-9a81-6f599bfd6ac9d44d4f3c-cfcf-4321-8385-4819660ec900f90bd6fe-392e-4287-8557-1d8f883fc87d0ab6a362-433e-4329-8a01-57a90bfbc16dc1729b48-c6be-4ff2-8ea5-b31dd3eefa5df90bd6fe-392e-4287-8557-1d8f883fc87d0ab6a362-433e-4329-8a01-57a90bfbc16d2c8e3159-2ffb-4a47-9ce1-73342d26dbd14633ddae-b158-4147-9a4e-1f9c1594e9890ab6a362-433e-4329-8a01-57a90bfbc16d2c8e3159-2ffb-4a47-9ce1-73342d26dbd19364118f-a1b2-4adb-a231-35a4b3fd1ccddefbe668-d863-40c6-b3e0-1aa7051694cf2c8e3159-2ffb-4a47-9ce1-73342d26dbd19364118f-a1b2-4adb-a231-35a4b3fd1ccded169679-ef49-4d49-b866-3eee2f0e1ca575d2a656-2d0a-4718-bfa3-47e793dd5f7b9364118f-a1b2-4adb-a231-35a4b3fd1ccded169679-ef49-4d49-b866-3eee2f0e1ca5ed169679-ef49-4d49-b866-3eee2f0e1ca5f01d4623-7723-4e18-96e7-63040b4becf5f01d4623-7723-4e18-96e7-63040b4becf5c96e20fe-c613-4237-97ac-b3de84dd9f60c96e20fe-c613-4237-97ac-b3de84dd9f603b79d7cc-ee76-4a3e-be0e-a95183f64738ff01f140-2b58-4da9-8d6b-40f0ad7e487b55bec645-a855-43bb-9623-bea26e84083e3b79d7cc-ee76-4a3e-be0e-a95183f64738ff01f140-2b58-4da9-8d6b-40f0ad7e487b8f347adc-ec69-4523-964c-2a5a5b19a1c722ff2855-73b5-4445-89e6-04e85d218030ff01f140-2b58-4da9-8d6b-40f0ad7e487b8f347adc-ec69-4523-964c-2a5a5b19a1c7439571d6-0156-4466-afe8-6eaa387790517ea53de7-65a2-49ac-ba01-898d4b99068f8f347adc-ec69-4523-964c-2a5a5b19a1c7439571d6-0156-4466-afe8-6eaa3877905191790f35-12c9-4ac2-a0b8-6ff515d3a8b97ef17929-6ce8-4160-bb23-27ed0e20a93d439571d6-0156-4466-afe8-6eaa3877905191790f35-12c9-4ac2-a0b8-6ff515d3a8b9efd11333-2929-4747-ae36-60ec713a40e33a5eb470-5dd9-4c01-b332-aaf37088264591790f35-12c9-4ac2-a0b8-6ff515d3a8b9efd11333-2929-4747-ae36-60ec713a40e3efd11333-2929-4747-ae36-60ec713a40e3849bc04b-d7c7-48cf-b29b-8d7bec51009e849bc04b-d7c7-48cf-b29b-8d7bec51009e3816862b-69ee-4fba-8c4d-4b582a48ba9e3816862b-69ee-4fba-8c4d-4b582a48ba9e3f1faf90-19db-416e-99d4-a486b84492843f1faf90-19db-416e-99d4-a486b844928470682ed8-32a7-4cff-9a6a-b193b111fe8a70682ed8-32a7-4cff-9a6a-b193b111fe8a0a5e46e3-78f0-43ed-bf1c-40a8992184810a5e46e3-78f0-43ed-bf1c-40a899218481333f220f-2729-4dab-afcf-c2f5c3e5e80b333f220f-2729-4dab-afcf-c2f5c3e5e80b9b6aae98-40de-4a44-a8ba-0dce2adf52bd9b6aae98-40de-4a44-a8ba-0dce2adf52bd7e58a1f1-f555-46aa-8ff7-dce87964bad67e58a1f1-f555-46aa-8ff7-dce87964bad6d5c22c5c-6f2c-4219-8d07-762384b46c2bd5c22c5c-6f2c-4219-8d07-762384b46c2b840ec3d4-951e-41f3-a653-85b04f14abd1840ec3d4-951e-41f3-a653-85b04f14abd1cc74214e-a1c4-46fc-82d7-73ec616b8819cc74214e-a1c4-46fc-82d7-73ec616b88196d1a32ab-e232-4933-b68a-4dc0273700b53a5eb470-5dd9-4c01-b332-aaf370882645efd11333-2929-4747-ae36-60ec713a40e36d1a32ab-e232-4933-b68a-4dc0273700b53a5eb470-5dd9-4c01-b332-aaf3708826457ef17929-6ce8-4160-bb23-27ed0e20a93d91790f35-12c9-4ac2-a0b8-6ff515d3a8b93a5eb470-5dd9-4c01-b332-aaf3708826457ef17929-6ce8-4160-bb23-27ed0e20a93d7ea53de7-65a2-49ac-ba01-898d4b99068f439571d6-0156-4466-afe8-6eaa387790517ef17929-6ce8-4160-bb23-27ed0e20a93d7ea53de7-65a2-49ac-ba01-898d4b99068f22ff2855-73b5-4445-89e6-04e85d2180308f347adc-ec69-4523-964c-2a5a5b19a1c77ea53de7-65a2-49ac-ba01-898d4b99068f22ff2855-73b5-4445-89e6-04e85d21803055bec645-a855-43bb-9623-bea26e84083eff01f140-2b58-4da9-8d6b-40f0ad7e487b22ff2855-73b5-4445-89e6-04e85d21803055bec645-a855-43bb-9623-bea26e84083e55bec645-a855-43bb-9623-bea26e84083e8212bf94-ff7c-4574-9cbc-251f15b489058212bf94-ff7c-4574-9cbc-251f15b489058413d20d-3fd6-4d42-9bfe-d6af9df8df208413d20d-3fd6-4d42-9bfe-d6af9df8df20af02596e-e156-44e1-a806-a91694013b9075d2a656-2d0a-4718-bfa3-47e793dd5f7bed169679-ef49-4d49-b866-3eee2f0e1ca5af02596e-e156-44e1-a806-a91694013b9075d2a656-2d0a-4718-bfa3-47e793dd5f7bdefbe668-d863-40c6-b3e0-1aa7051694cf9364118f-a1b2-4adb-a231-35a4b3fd1ccd75d2a656-2d0a-4718-bfa3-47e793dd5f7bdefbe668-d863-40c6-b3e0-1aa7051694cf4633ddae-b158-4147-9a4e-1f9c1594e9892c8e3159-2ffb-4a47-9ce1-73342d26dbd1defbe668-d863-40c6-b3e0-1aa7051694cf4633ddae-b158-4147-9a4e-1f9c1594e989c1729b48-c6be-4ff2-8ea5-b31dd3eefa5d0ab6a362-433e-4329-8a01-57a90bfbc16d4633ddae-b158-4147-9a4e-1f9c1594e989c1729b48-c6be-4ff2-8ea5-b31dd3eefa5d628d8f68-2e26-41d9-9a81-6f599bfd6ac9f90bd6fe-392e-4287-8557-1d8f883fc87dc1729b48-c6be-4ff2-8ea5-b31dd3eefa5d628d8f68-2e26-41d9-9a81-6f599bfd6ac9a4eab047-2b5e-4e76-a782-e1c98ebf9b1fd44d4f3c-cfcf-4321-8385-4819660ec900628d8f68-2e26-41d9-9a81-6f599bfd6ac9a4eab047-2b5e-4e76-a782-e1c98ebf9b1fa4eab047-2b5e-4e76-a782-e1c98ebf9b1ff3dfbf79-a53d-4ca6-8eff-68e24b493ca9f3dfbf79-a53d-4ca6-8eff-68e24b493ca9619a7f39-7ba2-4338-b932-3c03dc943caf619a7f39-7ba2-4338-b932-3c03dc943caf49e0d6d6-94ec-4a07-96d1-1c07eec58fed49e0d6d6-94ec-4a07-96d1-1c07eec58fed3ddf80be-7445-4753-8c73-34f6457363f9bdaf814f-7430-40da-8507-d34d6ddd83bd326f2164-ab9d-4b1e-bb00-0476433585ca3ddf80be-7445-4753-8c73-34f6457363f9bdaf814f-7430-40da-8507-d34d6ddd83bd535c12b9-f0f1-4835-a99a-c5b63b3641f63c761586-d170-4835-ae1e-da8dfd34158cbdaf814f-7430-40da-8507-d34d6ddd83bd535c12b9-f0f1-4835-a99a-c5b63b3641f6277f0351-7782-4687-a917-da45db119185ba9438ac-6606-48ce-91a0-5dbcdc97c7ff535c12b9-f0f1-4835-a99a-c5b63b3641f6277f0351-7782-4687-a917-da45db1191855bd69c0d-882c-42af-a05b-03f4e4f539868463143e-81a5-460c-9914-5b1d0049eab8277f0351-7782-4687-a917-da45db1191855bd69c0d-882c-42af-a05b-03f4e4f539865bd69c0d-882c-42af-a05b-03f4e4f5398628bb41a1-1974-41f7-a5bd-4c8a180e52f228bb41a1-1974-41f7-a5bd-4c8a180e52f2b8232cc2-fa87-44b9-ad78-6b8aef46b982f90bd6fe-392e-4287-8557-1d8f883fc87d41824dd6-a34f-4d50-be9e-b05252f1f046439571d6-0156-4466-afe8-6eaa3877905176e31106-30cf-44f1-9d9b-87005f5dd2c77e58a1f1-f555-46aa-8ff7-dce87964bad60d2fee86-1269-484a-bcd7-de950085197e8212bf94-ff7c-4574-9cbc-251f15b489056deae16c-6608-418e-9b1d-658d3ba5e0da619a7f39-7ba2-4338-b932-3c03dc943cafdbd0e4c7-8f98-4180-a4da-384ff3cbf6acempty:1empty:1Gempty:1empty:2empty:2Uempty:2empty:3empty:3Gempty:3empty:4empty:4Gempty:4empty:5empty:5Uempty:5empty:6empty:6Uempty:6empty:7empty:7Aempty:7empty:8empty:8Uempty:8empty:9empty:9Cempty:9empty:10empty:10Cempty:10empty:11empty:11Cempty:11empty:12empty:12Uempty:12empty:13empty:13Gempty:13empty:14empty:14Uempty:14empty:15empty:15Cempty:15empty:16empty:16Cempty:16empty:17empty:17Uempty:17empty:18empty:18Gempty:18empty:19empty:19Uempty:19empty:20empty:20Uempty:20empty:21empty:21Cempty:21empty:22empty:22Gempty:22empty:23empty:23Uempty:23empty:24empty:24Uempty:24empty:25empty:25Uempty:25empty:26empty:26Uempty:26empty:27empty:27Aempty:27empty:28empty:28Cempty:28empty:29empty:29Uempty:29empty:30empty:30Cempty:30empty:31empty:31Aempty:31empty:32empty:32Uempty:32empty:33empty:33Gempty:33empty:34empty:34Uempty:34empty:35empty:35Cempty:35empty:36empty:36Gempty:36cfa-miR-487bempty:37Acfa-miR-487bcfa-miR-487bempty:38Acfa-miR-487bcfa-miR-487bempty:39Ucfa-miR-487bcfa-miR-487bempty:40Ccfa-miR-487bcfa-miR-487bempty:41Gcfa-miR-487bcfa-miR-487bempty:42Ucfa-miR-487bcfa-miR-487bempty:43Acfa-miR-487bcfa-miR-487bempty:44Ccfa-miR-487bcfa-miR-487bempty:45Acfa-miR-487bcfa-miR-487bempty:46Gcfa-miR-487bcfa-miR-487bempty:47Gcfa-miR-487bcfa-miR-487bempty:48Gcfa-miR-487bcfa-miR-487bempty:49Ucfa-miR-487bcfa-miR-487bempty:50Ccfa-miR-487bcfa-miR-487bempty:51Acfa-miR-487bcfa-miR-487bempty:52Ucfa-miR-487bcfa-miR-487bempty:53Ccfa-miR-487bcfa-miR-487bempty:54Ccfa-miR-487bcfa-miR-487bempty:55Acfa-miR-487bcfa-miR-487bempty:56Ccfa-miR-487bcfa-miR-487bempty:57Ucfa-miR-487bcfa-miR-487bempty:58Ucfa-miR-487b1020304050

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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