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

a2882b57-1759-4d40-a177-abf39c3a11f833314203-30a4-452b-8044-ea7f9f1de1b4b87111a4-d763-49f5-86f7-d07bd2d08b8ba2882b57-1759-4d40-a177-abf39c3a11f86688810a-e146-4c24-870c-8561142bbecff3717333-d1eb-4f83-bacb-a499ba5cbe9ea2882b57-1759-4d40-a177-abf39c3a11f86688810a-e146-4c24-870c-8561142bbecf6b27d3b0-df51-4897-9868-ed3a2ae98da76cd20679-c541-4f0d-ba6a-597d63bedbcf6688810a-e146-4c24-870c-8561142bbecf6b27d3b0-df51-4897-9868-ed3a2ae98da76b27d3b0-df51-4897-9868-ed3a2ae98da7a8c9fac6-1446-4d37-a504-d433f6a37694aa0471d5-a86c-4bde-b7d0-e6844ede6ec8488e3b8b-36e4-46eb-8457-9fecb7309859a8c9fac6-1446-4d37-a504-d433f6a37694aa0471d5-a86c-4bde-b7d0-e6844ede6ec8f0199fc3-b9c2-45af-9cef-c9e7bf239e1ef9d48fe9-8d09-4f5d-b5cc-d7f2029db82faa0471d5-a86c-4bde-b7d0-e6844ede6ec8f0199fc3-b9c2-45af-9cef-c9e7bf239e1e47e087a4-82c5-4693-b264-f9255dba1463e6ead717-08ac-41d6-a1fd-368a1d977c1af0199fc3-b9c2-45af-9cef-c9e7bf239e1e47e087a4-82c5-4693-b264-f9255dba14631c802c63-fed8-4ee8-9c54-4c1ae160e0f42e6b9c39-3dfb-4386-9cbf-3f62256e689c47e087a4-82c5-4693-b264-f9255dba14631c802c63-fed8-4ee8-9c54-4c1ae160e0f48372193a-7715-4805-aea1-3e936e2dbdbeda10d41d-b6ac-4f43-a9bf-972e632712e31c802c63-fed8-4ee8-9c54-4c1ae160e0f48372193a-7715-4805-aea1-3e936e2dbdbea08d188a-43c4-483a-b8ee-7ac5cb1810fc3a68ec01-4461-4822-bed7-4c7565b6d8308372193a-7715-4805-aea1-3e936e2dbdbea08d188a-43c4-483a-b8ee-7ac5cb1810fca08d188a-43c4-483a-b8ee-7ac5cb1810fcddd614bd-9585-4990-b498-868a89074b29285b22b2-4a58-46b9-a3c7-a26887f05543bb3e7d44-9976-493e-b8d9-e19e42dc4305ddd614bd-9585-4990-b498-868a89074b29285b22b2-4a58-46b9-a3c7-a26887f0554382a0e371-843d-41fc-a7f8-02b81a82db7333061d23-b3d6-46da-b14a-a917e10b46a9285b22b2-4a58-46b9-a3c7-a26887f0554382a0e371-843d-41fc-a7f8-02b81a82db737939132e-a329-46e4-8f68-8d859daf2cc6f14a7791-60b5-4510-85ce-1359c1e1e50a82a0e371-843d-41fc-a7f8-02b81a82db737939132e-a329-46e4-8f68-8d859daf2cc67939132e-a329-46e4-8f68-8d859daf2cc62eb64f60-2565-499a-9b56-4d255e1f879d11dc02e6-bee2-4600-b318-bed30a56cf4e1f4717b6-5a77-40c6-95ba-109434b6b7322eb64f60-2565-499a-9b56-4d255e1f879d11dc02e6-bee2-4600-b318-bed30a56cf4ece6832d9-1ff3-488f-aadf-3df17631efa7984520d0-ffce-41dc-91ec-f313fa471bbd11dc02e6-bee2-4600-b318-bed30a56cf4ece6832d9-1ff3-488f-aadf-3df17631efa7fcd9d2a4-e2c1-441c-b021-5de5fbcc12e54b023b2d-a78a-45d8-b5af-91bd01e3c52bce6832d9-1ff3-488f-aadf-3df17631efa7fcd9d2a4-e2c1-441c-b021-5de5fbcc12e5d47607f1-df54-45ee-8cf5-0e33178cb4abc60f1c74-309c-4cf7-b3a1-36f4e485aa94fcd9d2a4-e2c1-441c-b021-5de5fbcc12e5d47607f1-df54-45ee-8cf5-0e33178cb4ab07982682-d2dd-4387-a743-5a49184048fd63131780-09e3-4a4d-abe9-8758a9d2fa13d47607f1-df54-45ee-8cf5-0e33178cb4ab07982682-d2dd-4387-a743-5a49184048fd270502e6-f7ff-483d-b1a0-8338aea4faef00334d88-e136-4b27-bd78-2cec3cfbe0c707982682-d2dd-4387-a743-5a49184048fd270502e6-f7ff-483d-b1a0-8338aea4faef270502e6-f7ff-483d-b1a0-8338aea4faefb1a3b660-2422-4067-8119-f4dd52f5e3d43ff593d8-3857-45c5-8625-5ad967efe121cda52dea-74b6-41b6-aa33-250e810ac6dcb1a3b660-2422-4067-8119-f4dd52f5e3d43ff593d8-3857-45c5-8625-5ad967efe121f0148923-8d58-41dc-b931-2d0840737c5146771e81-9f71-42be-a642-58f6ccbb45083ff593d8-3857-45c5-8625-5ad967efe121f0148923-8d58-41dc-b931-2d0840737c51f0148923-8d58-41dc-b931-2d0840737c51e3efa6f7-3675-4eee-aa99-1eca5bf32488e3efa6f7-3675-4eee-aa99-1eca5bf32488222e3a47-a7ac-48a0-8431-521219800418222e3a47-a7ac-48a0-8431-5212198004180086bb37-f828-4d15-8418-157656c1b52c0086bb37-f828-4d15-8418-157656c1b52cc8799f85-a856-4a84-b7c3-9bf57b7c7fcbc8799f85-a856-4a84-b7c3-9bf57b7c7fcbf6469f92-4428-410e-ae1b-8947d6f84f60f6469f92-4428-410e-ae1b-8947d6f84f60a933d47c-828a-4e7a-b506-edfebf54f62146771e81-9f71-42be-a642-58f6ccbb4508f0148923-8d58-41dc-b931-2d0840737c51a933d47c-828a-4e7a-b506-edfebf54f62146771e81-9f71-42be-a642-58f6ccbb4508cda52dea-74b6-41b6-aa33-250e810ac6dc3ff593d8-3857-45c5-8625-5ad967efe12146771e81-9f71-42be-a642-58f6ccbb4508cda52dea-74b6-41b6-aa33-250e810ac6dc00334d88-e136-4b27-bd78-2cec3cfbe0c7270502e6-f7ff-483d-b1a0-8338aea4faefcda52dea-74b6-41b6-aa33-250e810ac6dc00334d88-e136-4b27-bd78-2cec3cfbe0c763131780-09e3-4a4d-abe9-8758a9d2fa1307982682-d2dd-4387-a743-5a49184048fd00334d88-e136-4b27-bd78-2cec3cfbe0c763131780-09e3-4a4d-abe9-8758a9d2fa13c60f1c74-309c-4cf7-b3a1-36f4e485aa94d47607f1-df54-45ee-8cf5-0e33178cb4ab63131780-09e3-4a4d-abe9-8758a9d2fa13c60f1c74-309c-4cf7-b3a1-36f4e485aa944b023b2d-a78a-45d8-b5af-91bd01e3c52bfcd9d2a4-e2c1-441c-b021-5de5fbcc12e5c60f1c74-309c-4cf7-b3a1-36f4e485aa944b023b2d-a78a-45d8-b5af-91bd01e3c52b984520d0-ffce-41dc-91ec-f313fa471bbdce6832d9-1ff3-488f-aadf-3df17631efa74b023b2d-a78a-45d8-b5af-91bd01e3c52b984520d0-ffce-41dc-91ec-f313fa471bbd1f4717b6-5a77-40c6-95ba-109434b6b73211dc02e6-bee2-4600-b318-bed30a56cf4e984520d0-ffce-41dc-91ec-f313fa471bbd1f4717b6-5a77-40c6-95ba-109434b6b7321f4717b6-5a77-40c6-95ba-109434b6b73282662b63-d49d-4386-8884-db694803a5abf14a7791-60b5-4510-85ce-1359c1e1e50a7939132e-a329-46e4-8f68-8d859daf2cc682662b63-d49d-4386-8884-db694803a5abf14a7791-60b5-4510-85ce-1359c1e1e50a33061d23-b3d6-46da-b14a-a917e10b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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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