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

e0dba89c-1a04-4164-a66f-e25e3c67e304db06b341-db0d-4421-8b91-c6e8a2096d12a252f55b-d25c-4f39-b8b2-59ca425f4573ef215b6f-223d-44c8-9ed7-f9dcad485627e0dba89c-1a04-4164-a66f-e25e3c67e304a252f55b-d25c-4f39-b8b2-59ca425f4573d407a2e6-6cf3-4bc9-998e-d0e91029af0f53ac33cc-3395-41f4-8afd-d4fd23f4d844a252f55b-d25c-4f39-b8b2-59ca425f4573d407a2e6-6cf3-4bc9-998e-d0e91029af0fac8a963f-de2e-4bb3-b1ab-47c13bcb67e7b894d00a-2df4-47ed-8a6e-a08a32417b3fd407a2e6-6cf3-4bc9-998e-d0e91029af0fac8a963f-de2e-4bb3-b1ab-47c13bcb67e7fa995090-34be-4362-821f-91aa0e09a34d73eb2f1d-d0cc-43ae-9880-02ba07983235ac8a963f-de2e-4bb3-b1ab-47c13bcb67e7fa995090-34be-4362-821f-91aa0e09a34d25e410f9-7d34-4f4d-b0af-fbd482ac18757051f22a-d758-4a35-a884-57d8a19ad889fa995090-34be-4362-821f-91aa0e09a34d25e410f9-7d34-4f4d-b0af-fbd482ac18754603f5aa-577c-4393-82f5-99be6f3220c9dceb9aad-fe23-44cb-94cc-41fce2363acb25e410f9-7d34-4f4d-b0af-fbd482ac18754603f5aa-577c-4393-82f5-99be6f3220c9eaa65db6-8227-40ba-9628-fd3bf6b81a7d00711455-ca22-402c-8746-003561cee00c4603f5aa-577c-4393-82f5-99be6f3220c9eaa65db6-8227-40ba-9628-fd3bf6b81a7d9a28091e-2e5b-40d9-ba22-0d4056833fb330b6c125-c83d-4518-bc66-45fc08af58a4eaa65db6-8227-40ba-9628-fd3bf6b81a7d9a28091e-2e5b-40d9-ba22-0d4056833fb3d7e608bd-9d65-4d3c-b3a7-a70e41feda88a675f2b5-ed8d-47b3-977e-5e107ee9bc7a9a28091e-2e5b-40d9-ba22-0d4056833fb3d7e608bd-9d65-4d3c-b3a7-a70e41feda88e348d56c-5969-4bc3-9912-6066c21c34b359b134cc-2777-48f5-972a-878dab43bedbd7e608bd-9d65-4d3c-b3a7-a70e41feda88e348d56c-5969-4bc3-9912-6066c21c34b39ca81b45-f996-4282-8f23-81c3a7927b6f1d31d307-7ef3-4f2e-b9fb-20e6e4276832e348d56c-5969-4bc3-9912-6066c21c34b39ca81b45-f996-4282-8f23-81c3a7927b6f9ca81b45-f996-4282-8f23-81c3a7927b6f34541e44-1b9b-4f62-92e4-ee0d38b4e6d9cd7ec680-a4b1-4aa6-9995-e8abe74b1933548cf98a-62bd-4f7c-8662-c686026987ab34541e44-1b9b-4f62-92e4-ee0d38b4e6d9cd7ec680-a4b1-4aa6-9995-e8abe74b1933aca3bb62-d871-4bd3-847e-5658d365e3e9d2a354aa-c86f-47ee-a406-8de4722f2ed6cd7ec680-a4b1-4aa6-9995-e8abe74b1933aca3bb62-d871-4bd3-847e-5658d365e3e95607fba4-7a0c-442a-9760-bb9f1de128e834267abb-66ba-48bf-b105-a78714befa73aca3bb62-d871-4bd3-847e-5658d365e3e95607fba4-7a0c-442a-9760-bb9f1de128e80921b1eb-f521-4bb6-96ac-f8b403b1a53e1ef7cee1-ad2a-43c5-9caf-45e10ad1cb075607fba4-7a0c-442a-9760-bb9f1de128e80921b1eb-f521-4bb6-96ac-f8b403b1a53e6a255f89-900b-4662-93ba-f5c5ce9fc04df8bcb69f-63a2-4a56-b4d9-e0da313768f90921b1eb-f521-4bb6-96ac-f8b403b1a53e6a255f89-900b-4662-93ba-f5c5ce9fc04d68eba205-cc48-48c8-b514-23548c3a736d7916ead8-bee8-49fa-89a2-0a1b97f273096a255f89-900b-4662-93ba-f5c5ce9fc04d68eba205-cc48-48c8-b514-23548c3a736d68eba205-cc48-48c8-b514-23548c3a736d116e5bbf-f619-441b-ad14-6f19cb663285116e5bbf-f619-441b-ad14-6f19cb663285dd9ec5dc-fc90-4cf0-81c3-893856f1d0c4dd9ec5dc-fc90-4cf0-81c3-893856f1d0c4cb33d3b0-91c7-448b-9089-cf830f1561ebcb33d3b0-91c7-448b-9089-cf830f1561eb648e1f3d-f366-435f-92b2-95497455296a648e1f3d-f366-435f-92b2-95497455296a1dc6eb0d-1794-4a2d-bcba-487ca497785b1dc6eb0d-1794-4a2d-bcba-487ca497785be6862bdb-f25c-42dc-8648-5ff49c5ca6a7e6862bdb-f25c-42dc-8648-5ff49c5ca6a70f18ceda-5cb7-4e61-bf11-a8d05fdecd3d0f18ceda-5cb7-4e61-bf11-a8d05fdecd3d82a7c6fd-0d4f-49a9-a7cc-dd509ea116a582a7c6fd-0d4f-49a9-a7cc-dd509ea116a5d2228a0a-c988-4655-a500-b1c92a776009d2228a0a-c988-4655-a500-b1c92a77600980128669-18b6-4c82-8e43-a1bc1ebb27e880128669-18b6-4c82-8e43-a1bc1ebb27e87699bd51-79b1-4dcc-b8ed-c600d7ab18017699bd51-79b1-4dcc-b8ed-c600d7ab18010ee770af-1af4-48ea-8849-ded9d156424d0ee770af-1af4-48ea-8849-ded9d156424dfff0d22a-9995-4082-9f8b-848d68e53f6efff0d22a-9995-4082-9f8b-848d68e53f6effaa8586-de39-48ee-834a-d21408b29c1c7916ead8-bee8-49fa-89a2-0a1b97f2730968eba205-cc48-48c8-b514-23548c3a736dffaa8586-de39-48ee-834a-d21408b29c1c7916ead8-bee8-49fa-89a2-0a1b97f27309f8bcb69f-63a2-4a56-b4d9-e0da313768f96a255f89-900b-4662-93ba-f5c5ce9fc04d7916ead8-bee8-49fa-89a2-0a1b97f27309f8bcb69f-63a2-4a56-b4d9-e0da313768f91ef7cee1-ad2a-43c5-9caf-45e10ad1cb070921b1eb-f521-4bb6-96ac-f8b403b1a53ef8bcb69f-63a2-4a56-b4d9-e0da313768f91ef7cee1-ad2a-43c5-9caf-45e10ad1cb0734267abb-66ba-48bf-b105-a78714befa735607fba4-7a0c-442a-9760-bb9f1de128e81ef7cee1-ad2a-43c5-9caf-45e10ad1cb0734267abb-66ba-48bf-b105-a78714befa73d2a354aa-c86f-47ee-a406-8de4722f2ed6aca3bb62-d871-4bd3-847e-5658d365e3e934267abb-66ba-48bf-b105-a78714befa73d2a354aa-c86f-47ee-a406-8de4722f2ed6548cf98a-62bd-4f7c-8662-c686026987abcd7ec680-a4b1-4aa6-9995-e8abe74b1933d2a354aa-c86f-47ee-a406-8de4722f2ed6548cf98a-62bd-4f7c-8662-c686026987ab1d31d307-7ef3-4f2e-b9fb-20e6e42768329ca81b45-f996-4282-8f23-81c3a7927b6f548cf98a-62bd-4f7c-8662-c686026987ab1d31d307-7ef3-4f2e-b9fb-20e6e427683259b134cc-2777-48f5-972a-878dab43bedbe348d56c-5969-4bc3-9912-6066c21c34b31d31d307-7ef3-4f2e-b9fb-20e6e427683259b134cc-2777-48f5-972a-878dab43bedb59b134cc-2777-48f5-972a-878dab43bedb68a29723-dca2-446d-b825-8657439a7ae0a675f2b5-ed8d-47b3-977e-5e107ee9bc7ad7e608bd-9d65-4d3c-b3a7-a70e41feda8868a29723-dca2-446d-b825-8657439a7ae0a675f2b5-ed8d-47b3-977e-5e107ee9bc7a30b6c125-c83d-4518-bc66-45fc08af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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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