Precursor miRBase

cfa-mir-99a-2 (MI0008102)

Accession MI0008102
Name cfa-mir-99a-2
similar to following miRCarta precursors cfa-64.1
Organism Canis familiaris
Genome CanFam3.1
Location chr5:12,047,369-12,047,425 (+)
miRNA cfa-miR-99a
Sequence (5' -> 3')
(57 nts)
AACCCGUAGAUCCGAUCUUGUGGUGAUAGUCCACACAAGCUUGUGUCUAUAGGUAUG
MFE -19.70 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(2 precursors)
cfa-mir-99a-2
cfa-let-7a-2
Family mir-10 (MIPF0000033)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR99A-2
NCBI Gene 100885929

Predicted Structure

e32abe06-bec2-4827-b1ca-fb5dd1381deb89da181b-bad7-4cdc-85ba-5cd79852e8e3989ac880-34b0-48a6-856c-bc2a4d3297d5e32abe06-bec2-4827-b1ca-fb5dd1381deb2e68ddf5-48a9-4040-9bf0-5714cbc026f4c16e095f-f261-4c19-abb3-d3b35ccb30f0e32abe06-bec2-4827-b1ca-fb5dd1381deb2e68ddf5-48a9-4040-9bf0-5714cbc026f441004057-5dde-40cc-9ab6-1ec4a6e4e86fefe0689f-27af-4904-ac1b-dbdfae0bba242e68ddf5-48a9-4040-9bf0-5714cbc026f441004057-5dde-40cc-9ab6-1ec4a6e4e86f41004057-5dde-40cc-9ab6-1ec4a6e4e86f8a5a6657-ddb4-4463-b10b-ed90e2d9ba533cf27b56-9ba5-4c39-8724-ca4a88f049044cfa7e50-4b0d-4035-9ec7-b8c694578d1e8a5a6657-ddb4-4463-b10b-ed90e2d9ba533cf27b56-9ba5-4c39-8724-ca4a88f0490461dd9b8c-a382-47e4-bff2-9383657611fd9853d07e-b343-40cb-b9eb-f71cfdfe86ba3cf27b56-9ba5-4c39-8724-ca4a88f0490461dd9b8c-a382-47e4-bff2-9383657611fdf1b435ee-8eff-46fe-8190-c7d220d6f3187f8f677c-6aea-489d-8383-c54883a4bd0461dd9b8c-a382-47e4-bff2-9383657611fdf1b435ee-8eff-46fe-8190-c7d220d6f318e453d621-23fc-4c0b-8534-85cd1f7130e576b71a2f-63e1-41d1-b75b-bada6a1efd3ff1b435ee-8eff-46fe-8190-c7d220d6f318e453d621-23fc-4c0b-8534-85cd1f7130e59b4394a7-9cdc-47e1-8674-fa04691c1ae4edd1596d-dc5e-4e38-a781-8125c5bcee97e453d621-23fc-4c0b-8534-85cd1f7130e59b4394a7-9cdc-47e1-8674-fa04691c1ae45f037543-acfe-4422-84eb-bbdfd44e9c341da1a1d1-3c67-40c4-ad4c-2393878771e49b4394a7-9cdc-47e1-8674-fa04691c1ae45f037543-acfe-4422-84eb-bbdfd44e9c345f037543-acfe-4422-84eb-bbdfd44e9c34715b5c96-c26e-4136-87d9-b1d850c010cb48c68b5e-be09-4e8f-9b52-9c3b3fab91d47718528a-f512-4b84-9460-04f4b52018a0715b5c96-c26e-4136-87d9-b1d850c010cb48c68b5e-be09-4e8f-9b52-9c3b3fab91d41310a09a-fa0a-4962-8644-f269ae6ae873c0423b15-e80e-42dc-ba4a-0e4376a15e6148c68b5e-be09-4e8f-9b52-9c3b3fab91d41310a09a-fa0a-4962-8644-f269ae6ae8734b2fdb32-9984-41a1-88ad-746c7efed6b5aba9e1a9-1731-4dfa-9b4d-2f0b42b2f22c1310a09a-fa0a-4962-8644-f269ae6ae8734b2fdb32-9984-41a1-88ad-746c7efed6b54b2fdb32-9984-41a1-88ad-746c7efed6b5ed3314d6-0566-46dc-af14-3e54d6aed997dda1a876-7ae7-4333-8625-ee2af989b581276a7829-7404-4c8a-9196-b647ce6ba3aded3314d6-0566-46dc-af14-3e54d6aed997dda1a876-7ae7-4333-8625-ee2af989b581d130156f-781b-4148-a924-3840b7e619548b2da801-1d50-4f17-97a4-4bc28675afa0dda1a876-7ae7-4333-8625-ee2af989b581d130156f-781b-4148-a924-3840b7e619549db8e8b0-461a-4b74-ab06-47f50cb321ce158f3690-2cbe-47f6-8ff0-b9865f4cdab4d130156f-781b-4148-a924-3840b7e619549db8e8b0-461a-4b74-ab06-47f50cb321ceac822595-8d55-4a50-9e29-ef3b7356311c065385c3-c346-4df6-9f61-3b3492950cb39db8e8b0-461a-4b74-ab06-47f50cb321ceac822595-8d55-4a50-9e29-ef3b7356311c737422b5-9b83-4a50-86d9-564d0e1274e44c189da3-08c6-4e6a-9f6c-557a4930c89dac822595-8d55-4a50-9e29-ef3b7356311c737422b5-9b83-4a50-86d9-564d0e1274e4f1c43918-e8bc-4a30-9066-77fdf79e857f7cb85c25-768d-4bc2-8fa9-3634975842a6737422b5-9b83-4a50-86d9-564d0e1274e4f1c43918-e8bc-4a30-9066-77fdf79e857ff1c43918-e8bc-4a30-9066-77fdf79e857fb89d3488-ac3e-4a37-be95-0ed8fb3ce606d1107c06-f375-4164-8d52-e0e69ed99e424eaea36c-1f88-4137-9417-fa4e77753c4cb89d3488-ac3e-4a37-be95-0ed8fb3ce606d1107c06-f375-4164-8d52-e0e69ed99e422349d0c2-e2a4-4758-8cda-b23776bdabccb0e7e7fb-cda8-495b-a724-49b7a39d6cf3d1107c06-f375-4164-8d52-e0e69ed99e422349d0c2-e2a4-4758-8cda-b23776bdabcc2349d0c2-e2a4-4758-8cda-b23776bdabcc342caf66-fa09-4c88-9e7c-b438d737b8c6342caf66-fa09-4c88-9e7c-b438d737b8c68c478046-3111-4402-b760-3b536d35609f8c478046-3111-4402-b760-3b536d35609f7b61ab47-1d49-458f-a69a-1556e54530cc7b61ab47-1d49-458f-a69a-1556e54530cc42ed30ea-1424-402f-b425-6370f515b1c342ed30ea-1424-402f-b425-6370f515b1c37c928dfd-3316-415d-aa2d-13b3128e027d7c928dfd-3316-415d-aa2d-13b3128e027de6d2d909-d4a6-4810-8748-ad2ed47f9306b0e7e7fb-cda8-495b-a724-49b7a39d6cf32349d0c2-e2a4-4758-8cda-b23776bdabcce6d2d909-d4a6-4810-8748-ad2ed47f9306b0e7e7fb-cda8-495b-a724-49b7a39d6cf34eaea36c-1f88-4137-9417-fa4e77753c4cd1107c06-f375-4164-8d52-e0e69ed99e42b0e7e7fb-cda8-495b-a724-49b7a39d6cf34eaea36c-1f88-4137-9417-fa4e77753c4c7cb85c25-768d-4bc2-8fa9-3634975842a6f1c43918-e8bc-4a30-9066-77fdf79e857f4eaea36c-1f88-4137-9417-fa4e77753c4c7cb85c25-768d-4bc2-8fa9-3634975842a64c189da3-08c6-4e6a-9f6c-557a4930c89d737422b5-9b83-4a50-86d9-564d0e1274e47cb85c25-768d-4bc2-8fa9-3634975842a64c189da3-08c6-4e6a-9f6c-557a4930c89d065385c3-c346-4df6-9f61-3b3492950cb3ac822595-8d55-4a50-9e29-ef3b7356311c4c189da3-08c6-4e6a-9f6c-557a4930c89d065385c3-c346-4df6-9f61-3b3492950cb3158f3690-2cbe-47f6-8ff0-b9865f4cdab49db8e8b0-461a-4b74-ab06-47f50cb321ce065385c3-c346-4df6-9f61-3b3492950cb3158f3690-2cbe-47f6-8ff0-b9865f4cdab48b2da801-1d50-4f17-97a4-4bc28675afa0d130156f-781b-4148-a924-3840b7e61954158f3690-2cbe-47f6-8ff0-b9865f4cdab48b2da801-1d50-4f17-97a4-4bc28675afa0276a7829-7404-4c8a-9196-b647ce6ba3addda1a876-7ae7-4333-8625-ee2af989b5818b2da801-1d50-4f17-97a4-4bc28675afa0276a7829-7404-4c8a-9196-b647ce6ba3ad276a7829-7404-4c8a-9196-b647ce6ba3addccd5e47-aee8-4d07-b551-0fe08cf33eaeaba9e1a9-1731-4dfa-9b4d-2f0b42b2f22c4b2fdb32-9984-41a1-88ad-746c7efed6b5dccd5e47-aee8-4d07-b551-0fe08cf33eaeaba9e1a9-1731-4dfa-9b4d-2f0b42b2f22cc0423b15-e80e-42dc-ba4a-0e4376a1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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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