Precursor miRBase

cfa-mir-99a-1 (MI0008075)

Accession MI0008075
Name cfa-mir-99a-1
similar to following miRCarta precursors cfa-64.2
Organism Canis familiaris
Genome CanFam3.1
Location chr31:13,258,782-13,258,840 (+)
miRNA cfa-miR-99a
Sequence (5' -> 3')
(59 nts)
AACCCGUAGAUCCGAUCUUGUGGUGAAGUGGACGGCACAAGCUCGCUUCUAUGGGUCUG
MFE -27.70 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(2 precursors)
cfa-mir-99a-1
cfa-let-7c
Family mir-10 (MIPF0000033)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR99A-1
NCBI Gene 100885915

Predicted Structure

6f1d433d-5080-4bb0-9981-9343a5ccf068909e3093-5541-435c-810e-7e35358cc52017b399ef-59ba-4280-afe5-fd38767334d86f1d433d-5080-4bb0-9981-9343a5ccf068b0ca94b4-8cd3-4206-89f3-d14e04e97c51f08daa54-d3a1-4d8d-b47d-8a40736804356f1d433d-5080-4bb0-9981-9343a5ccf068b0ca94b4-8cd3-4206-89f3-d14e04e97c51f91a763c-2f83-4ffe-a0c7-5887ceba2785337d1add-f2f7-42da-873c-307b331e5968b0ca94b4-8cd3-4206-89f3-d14e04e97c51f91a763c-2f83-4ffe-a0c7-5887ceba27852e3386a8-11e3-421c-a2bd-3463fe982dda65c50410-f3f6-4546-80ce-46a4e27a3457f91a763c-2f83-4ffe-a0c7-5887ceba27852e3386a8-11e3-421c-a2bd-3463fe982dda1d668389-b536-4aaf-a0e8-8ab5c4c5efaccd1d3731-127e-43ba-b37b-be660563eb5d2e3386a8-11e3-421c-a2bd-3463fe982dda1d668389-b536-4aaf-a0e8-8ab5c4c5efac144fdc88-b46d-4f0e-9fe0-983355adc78f15130c9d-df5a-424b-af72-c719c16631ea1d668389-b536-4aaf-a0e8-8ab5c4c5efac144fdc88-b46d-4f0e-9fe0-983355adc78f0b9cae09-8a75-4671-94cf-9866e21138494e969b53-30f5-4e2f-b9b2-cb4437f6a6d1144fdc88-b46d-4f0e-9fe0-983355adc78f0b9cae09-8a75-4671-94cf-9866e2113849b337c907-d200-474e-a28a-2d2f6a70ede6e17318fe-28cc-472d-8484-c53e21c450060b9cae09-8a75-4671-94cf-9866e2113849b337c907-d200-474e-a28a-2d2f6a70ede6bcd58ec1-d9e4-4b6e-884b-02ef862aae2831fa146c-07b7-463d-8d4b-3f9aee60d83eb337c907-d200-474e-a28a-2d2f6a70ede6bcd58ec1-d9e4-4b6e-884b-02ef862aae28bcd58ec1-d9e4-4b6e-884b-02ef862aae288a623e54-9517-4e42-941b-697a67bd91578a623e54-9517-4e42-941b-697a67bd9157a6229aab-e9a6-4adc-8fa2-7297ca21a1dd9e39fa26-4ef1-4efd-896e-691372274a4743fcaa8e-1b33-4621-8e60-aee6c1d7a2e1a6229aab-e9a6-4adc-8fa2-7297ca21a1dd9e39fa26-4ef1-4efd-896e-691372274a471e51d8c1-bd7f-467e-a6a9-4d8e1e0f5f031d5d5e9e-2de6-479f-8700-520cd42a090a9e39fa26-4ef1-4efd-896e-691372274a471e51d8c1-bd7f-467e-a6a9-4d8e1e0f5f032a551636-772a-4d19-87b2-0220ff46efec23f85bcd-4eb7-484a-a4b2-2ccbdad201cd1e51d8c1-bd7f-467e-a6a9-4d8e1e0f5f032a551636-772a-4d19-87b2-0220ff46efec2a551636-772a-4d19-87b2-0220ff46efec44ee8143-003b-424e-a382-d75a474b64b5f531b754-610c-48e9-a367-82094ccca5c115dfee94-c6f1-4b21-b253-9c51879b3b9344ee8143-003b-424e-a382-d75a474b64b5f531b754-610c-48e9-a367-82094ccca5c11053a02c-26da-4e3b-9a5c-0f0804704fc53d28888a-c3ec-421d-a3c7-dec4d7c67476f531b754-610c-48e9-a367-82094ccca5c11053a02c-26da-4e3b-9a5c-0f0804704fc54d61e1cf-036e-463b-96ca-0391e6ed30acafc7a479-a439-4a3b-b716-c854f8084ea31053a02c-26da-4e3b-9a5c-0f0804704fc54d61e1cf-036e-463b-96ca-0391e6ed30ac630b9feb-ee19-4400-b5d8-9f5a48ff2e7618166a15-0495-46c2-99ef-9fdf40ea2eef4d61e1cf-036e-463b-96ca-0391e6ed30ac630b9feb-ee19-4400-b5d8-9f5a48ff2e761dd9ab93-c98e-4cd5-bcf1-6007ea2075b4cdf7829c-1cbc-459d-a131-309653e3049f630b9feb-ee19-4400-b5d8-9f5a48ff2e761dd9ab93-c98e-4cd5-bcf1-6007ea2075b450efd45f-d0d1-44c3-a482-1f0b3ea0f1f3263d409a-b2a5-4a19-a06a-f7d022b2b4d81dd9ab93-c98e-4cd5-bcf1-6007ea2075b450efd45f-d0d1-44c3-a482-1f0b3ea0f1f350efd45f-d0d1-44c3-a482-1f0b3ea0f1f399061c7f-2938-4b1f-996d-d1f181b80861090a7783-0356-4da6-aea3-de5b54130738ddc758e7-078f-4ece-8b11-d335649cba3d99061c7f-2938-4b1f-996d-d1f181b80861090a7783-0356-4da6-aea3-de5b5413073856ce5906-272c-4013-8212-bb185c277e2de03aebf7-43d1-4cec-971b-665a3138289b090a7783-0356-4da6-aea3-de5b5413073856ce5906-272c-4013-8212-bb185c277e2d56ce5906-272c-4013-8212-bb185c277e2dd1eaeba7-4670-47eb-85d8-d54cbe7087ddd1eaeba7-4670-47eb-85d8-d54cbe7087dd2f69aeb5-0ebf-456c-a842-69759b12161a2f69aeb5-0ebf-456c-a842-69759b12161a285c9b25-bdb7-46f8-85a1-5e3b19d0cb45285c9b25-bdb7-46f8-85a1-5e3b19d0cb45102a0099-ca37-4307-9226-ff2392eb9000102a0099-ca37-4307-9226-ff2392eb90002d32ccdc-1ad8-4269-8948-b75b4f2023372d32ccdc-1ad8-4269-8948-b75b4f2023374677f879-42b4-420e-af1d-ac697c573bdf4677f879-42b4-420e-af1d-ac697c573bdf19807c64-51e3-482a-bde4-6dcd2a42e025e03aebf7-43d1-4cec-971b-665a3138289b56ce5906-272c-4013-8212-bb185c277e2d19807c64-51e3-482a-bde4-6dcd2a42e025e03aebf7-43d1-4cec-971b-665a3138289bddc758e7-078f-4ece-8b11-d335649cba3d090a7783-0356-4da6-aea3-de5b54130738e03aebf7-43d1-4cec-971b-665a3138289bddc758e7-078f-4ece-8b11-d335649cba3dddc758e7-078f-4ece-8b11-d335649cba3dbc4e2acf-0084-4dde-afc9-f88fba3e93e8263d409a-b2a5-4a19-a06a-f7d022b2b4d850efd45f-d0d1-44c3-a482-1f0b3ea0f1f3bc4e2acf-0084-4dde-afc9-f88fba3e93e8263d409a-b2a5-4a19-a06a-f7d022b2b4d8cdf7829c-1cbc-459d-a131-309653e3049f1dd9ab93-c98e-4cd5-bcf1-6007ea2075b4263d409a-b2a5-4a19-a06a-f7d022b2b4d8cdf7829c-1cbc-459d-a131-309653e3049f18166a15-0495-46c2-99ef-9fdf40ea2eef630b9feb-ee19-4400-b5d8-9f5a48ff2e76cdf7829c-1cbc-459d-a131-309653e3049f18166a15-0495-46c2-99ef-9fdf40ea2eefafc7a479-a439-4a3b-b716-c854f8084ea34d61e1cf-036e-463b-96ca-0391e6ed30ac18166a15-0495-46c2-99ef-9fdf40ea2eefafc7a479-a439-4a3b-b716-c854f8084ea33d28888a-c3ec-421d-a3c7-dec4d7c674761053a02c-26da-4e3b-9a5c-0f0804704fc5afc7a479-a439-4a3b-b716-c854f8084ea33d28888a-c3ec-421d-a3c7-dec4d7c6747615dfee94-c6f1-4b21-b253-9c51879b3b93f531b754-610c-48e9-a367-82094ccca5c13d28888a-c3ec-421d-a3c7-dec4d7c6747615dfee94-c6f1-4b21-b253-9c51879b3b9315dfee94-c6f1-4b21-b253-9c51879b3b935b57cbcd-e984-4dbd-baee-6400b65ab3de23f85bcd-4eb7-484a-a4b2-2ccbdad2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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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