Precursor miRBase

cfa-mir-342 (MI0008128)

Accession MI0008128
Name cfa-mir-342
similar to following miRCarta precursors cfa-128.1
Organism Canis familiaris
Genome CanFam3.1
Location chr8:68,424,656-68,424,718 (+)
miRNA cfa-miR-342
Sequence (5' -> 3')
(63 nts)
GGGUGCUAUCUGUGAUUGAGGGACAUGGCAAAUAGAAUUGUCUCACACAGAAAUCGCACCCGU
MFE -23.30 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(1 precursors)
cfa-mir-342
Family mir-342 (MIPF0000190)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR342
NCBI Gene 100885942

Predicted Structure

baca4212-7866-43fb-ad5d-cd613a2ba6bd2660e66a-c66b-4265-9407-6dacb2ddf96e50066bf6-c694-4989-9f8c-a1eb6c21651db36d1eb3-a190-4fb9-8fc9-31172c6921cfbaca4212-7866-43fb-ad5d-cd613a2ba6bd50066bf6-c694-4989-9f8c-a1eb6c21651d340b6010-6bda-4c81-b2a1-002277a30e68c20aa99d-81d0-4abf-a5cf-68d327040fec50066bf6-c694-4989-9f8c-a1eb6c21651d340b6010-6bda-4c81-b2a1-002277a30e687a6022d4-0764-481a-a928-e06538d22a4ee5c0eee3-5a13-4e84-91e4-4f699809ba4e340b6010-6bda-4c81-b2a1-002277a30e687a6022d4-0764-481a-a928-e06538d22a4eaee94306-0ac5-4293-aff5-f0a35c68e4d3a77a0a80-8b28-4d28-bb03-70d1284aefd27a6022d4-0764-481a-a928-e06538d22a4eaee94306-0ac5-4293-aff5-f0a35c68e4d372ccb933-6020-48d3-9d47-36723934b58d2095d7c1-6c85-4286-bd53-032e401e67dcaee94306-0ac5-4293-aff5-f0a35c68e4d372ccb933-6020-48d3-9d47-36723934b58d72ccb933-6020-48d3-9d47-36723934b58d3000187a-293e-4285-ac15-3ceb943fc6063000187a-293e-4285-ac15-3ceb943fc6069ee00afd-b06e-45d9-909a-0f4a0c73a0724511ed5f-a5d1-4aa2-8ce4-fb76a6382e6760f3c4d2-04a8-4470-b44c-595afa3fcd2b9ee00afd-b06e-45d9-909a-0f4a0c73a0724511ed5f-a5d1-4aa2-8ce4-fb76a6382e6751b03447-5f95-4cc1-8466-38f82641b65d5cdd4221-a572-47b2-a898-9a56cdb471f64511ed5f-a5d1-4aa2-8ce4-fb76a6382e6751b03447-5f95-4cc1-8466-38f82641b65d72e68e09-0950-46a0-8611-cfaec598009cf1a1fa17-4da8-48c5-8c64-bcb01ee6b30451b03447-5f95-4cc1-8466-38f82641b65d72e68e09-0950-46a0-8611-cfaec598009c07c9f407-949c-4d06-ac39-b759c25a0de7d351f7ff-f4c2-4bab-bc48-2897a0b5f32b72e68e09-0950-46a0-8611-cfaec598009c07c9f407-949c-4d06-ac39-b759c25a0de7003d8862-36b6-482e-a838-bfcb0ffd8734780c1904-c3e7-4a86-96b9-a0bd96263aca07c9f407-949c-4d06-ac39-b759c25a0de7003d8862-36b6-482e-a838-bfcb0ffd87346214aa7f-6ee4-4bd6-8dbb-90ffa1bfe61ae00d41b2-8211-433d-9fe5-0b63e58fed0e003d8862-36b6-482e-a838-bfcb0ffd87346214aa7f-6ee4-4bd6-8dbb-90ffa1bfe61a6214aa7f-6ee4-4bd6-8dbb-90ffa1bfe61a8775d060-3051-4cf8-84d6-acc6916d3c448775d060-3051-4cf8-84d6-acc6916d3c44888b9992-80a3-48b1-9b42-3a1fea128ac2888b9992-80a3-48b1-9b42-3a1fea128ac22976d241-071c-4b87-973a-b8c5f57f27752976d241-071c-4b87-973a-b8c5f57f277524368f5a-30db-4eec-84c2-8bcd5f1d3c8824368f5a-30db-4eec-84c2-8bcd5f1d3c884f0a403b-445f-4767-97ca-6eddb98e3e7114d8fc2b-d273-4b7b-8cad-524c37266a084c0878bb-cdd4-4b98-b860-73142813f3684f0a403b-445f-4767-97ca-6eddb98e3e7114d8fc2b-d273-4b7b-8cad-524c37266a0836ca659c-61d5-4588-adc0-dc081130a0e9e2125f5b-9a2f-4312-9cc3-aecb92de777914d8fc2b-d273-4b7b-8cad-524c37266a0836ca659c-61d5-4588-adc0-dc081130a0e933cc573e-005d-4313-9664-fed0e0a6c8d423e78fc1-b7d1-4229-a5b0-2a4b001af75a36ca659c-61d5-4588-adc0-dc081130a0e933cc573e-005d-4313-9664-fed0e0a6c8d40a5afd77-99eb-49c7-bf64-1801f55e6f3c04dc1f13-f536-4283-adbc-5a49994a119733cc573e-005d-4313-9664-fed0e0a6c8d40a5afd77-99eb-49c7-bf64-1801f55e6f3cfd5771ce-c803-4396-b48d-66e0dcfcff8cd14a396c-aa35-40e3-9bc2-ec2187db98bb0a5afd77-99eb-49c7-bf64-1801f55e6f3cfd5771ce-c803-4396-b48d-66e0dcfcff8c2f5acfb6-be4f-4fba-9b32-fa30030d3254984342f0-90d6-4a07-b7a0-1bc48fec0cacfd5771ce-c803-4396-b48d-66e0dcfcff8c2f5acfb6-be4f-4fba-9b32-fa30030d32542f5acfb6-be4f-4fba-9b32-fa30030d325455404cbd-fa7a-4c1d-9bcb-c3bd2dc5fa8f55404cbd-fa7a-4c1d-9bcb-c3bd2dc5fa8f69c218f3-9ed9-42e4-92a4-02848ae670f169c218f3-9ed9-42e4-92a4-02848ae670f11a44f37d-0e9e-4a66-b386-40a6273b54271a44f37d-0e9e-4a66-b386-40a6273b54274d133de7-e516-4505-8804-4f07a27b41db4d133de7-e516-4505-8804-4f07a27b41db965b3f5e-50e3-4c65-bb11-413f21ff015d965b3f5e-50e3-4c65-bb11-413f21ff015d0be12634-fc1d-4eaf-af1e-be72050419280be12634-fc1d-4eaf-af1e-be7205041928499d8727-a15b-45b7-9033-2d2c300ab125499d8727-a15b-45b7-9033-2d2c300ab125971d5e4a-4cad-4752-852a-6bfc6eb0eb0a971d5e4a-4cad-4752-852a-6bfc6eb0eb0a7ace9da6-eabe-4c9c-9044-8f145341d3827ace9da6-eabe-4c9c-9044-8f145341d3822a1063fc-c83c-4729-be97-ea5a2e5f49162a1063fc-c83c-4729-be97-ea5a2e5f4916ccfe54ef-9178-4a62-9b4f-fb4b4961be55ccfe54ef-9178-4a62-9b4f-fb4b4961be5508632954-4d22-4266-af97-801d405321b808632954-4d22-4266-af97-801d405321b86c302fb2-384e-4089-8f9e-2e5ef4e53860984342f0-90d6-4a07-b7a0-1bc48fec0cac2f5acfb6-be4f-4fba-9b32-fa30030d32546c302fb2-384e-4089-8f9e-2e5ef4e53860984342f0-90d6-4a07-b7a0-1bc48fec0cacd14a396c-aa35-40e3-9bc2-ec2187db98bbfd5771ce-c803-4396-b48d-66e0dcfcff8c984342f0-90d6-4a07-b7a0-1bc48fec0cacd14a396c-aa35-40e3-9bc2-ec2187db98bb04dc1f13-f536-4283-adbc-5a49994a11970a5afd77-99eb-49c7-bf64-1801f55e6f3cd14a396c-aa35-40e3-9bc2-ec2187db98bb04dc1f13-f536-4283-adbc-5a49994a119723e78fc1-b7d1-4229-a5b0-2a4b001af75a33cc573e-005d-4313-9664-fed0e0a6c8d404dc1f13-f536-4283-adbc-5a49994a119723e78fc1-b7d1-4229-a5b0-2a4b001af75ae2125f5b-9a2f-4312-9cc3-aecb92de777936ca659c-61d5-4588-adc0-dc081130a0e923e78fc1-b7d1-4229-a5b0-2a4b001af75ae2125f5b-9a2f-4312-9cc3-aecb92de77794c0878bb-cdd4-4b98-b860-73142813f36814d8fc2b-d273-4b7b-8cad-524c37266a08e2125f5b-9a2f-4312-9cc3-aecb92de77794c0878bb-cdd4-4b98-b860-73142813f3684c0878bb-cdd4-4b98-b860-73142813f368a9c48e12-b6a9-4e62-87b9-f58296e7a534e00d41b2-8211-433d-9fe5-0b63e58fed0e6214aa7f-6ee4-4bd6-8dbb-90ffa1bfe61aa9c48e12-b6a9-4e62-87b9-f58296e7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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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