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

214182b7-3672-4b43-b793-d109126af641f4e5e8b3-27fd-4956-864f-04b53a75a210d9d6d9d0-d3b9-4edc-b0d8-d3613da27da9b79f91e2-49c7-4e3c-99f2-3362269b3b85214182b7-3672-4b43-b793-d109126af641d9d6d9d0-d3b9-4edc-b0d8-d3613da27da9ae9ba1c5-2510-427f-b526-337a46bed39b2a4c6517-2fad-4b0a-9e91-3b9cff3caaafd9d6d9d0-d3b9-4edc-b0d8-d3613da27da9ae9ba1c5-2510-427f-b526-337a46bed39bfcc115c2-bb97-440a-8587-f5e632ca2977ef4f8076-4471-48be-b091-c84baf1ca1a7ae9ba1c5-2510-427f-b526-337a46bed39bfcc115c2-bb97-440a-8587-f5e632ca2977ebf27ec6-bca7-4064-ab48-0c3f12b7aa40e370fd1c-87f4-4a66-b786-874e069e432bfcc115c2-bb97-440a-8587-f5e632ca2977ebf27ec6-bca7-4064-ab48-0c3f12b7aa40b4f63baf-681d-4a3d-b33c-b5bbba024dcf02a0cd4a-a730-4c7e-a282-58bb662e5327ebf27ec6-bca7-4064-ab48-0c3f12b7aa40b4f63baf-681d-4a3d-b33c-b5bbba024dcfb4f63baf-681d-4a3d-b33c-b5bbba024dcf468b6e37-9d6f-45e0-8785-369bd19e1afe468b6e37-9d6f-45e0-8785-369bd19e1afe36b39ebe-c158-41f0-b035-d6a3d0453f8d60f980c0-6a2d-4490-98d1-09f7834da0719f473dfe-5e88-4c1b-a608-b229bddaa13e36b39ebe-c158-41f0-b035-d6a3d0453f8d60f980c0-6a2d-4490-98d1-09f7834da071c1ab4dc6-b8ce-4217-9eab-a48c0a43017d9fb2bd0c-e958-468c-942b-b50633f0d72160f980c0-6a2d-4490-98d1-09f7834da071c1ab4dc6-b8ce-4217-9eab-a48c0a43017d78f67dad-e98a-45b1-953a-0431f53c8b4e5d897548-f810-4e5a-991e-47ecf81b43d9c1ab4dc6-b8ce-4217-9eab-a48c0a43017d78f67dad-e98a-45b1-953a-0431f53c8b4ee942e6fb-f214-44d0-b8ee-3c9f146d21dfd764e5f5-9ab1-45ed-a9ad-ded91922ae2378f67dad-e98a-45b1-953a-0431f53c8b4ee942e6fb-f214-44d0-b8ee-3c9f146d21df23d2fdd4-71b8-47ac-928a-dc54e0c46b675a970c7e-c38d-4cce-b3bc-26f044f26964e942e6fb-f214-44d0-b8ee-3c9f146d21df23d2fdd4-71b8-47ac-928a-dc54e0c46b6751aa0e10-c46c-4850-a0a2-759e35b08afec8b8a214-00d3-4acb-807e-d1572ed3d97b23d2fdd4-71b8-47ac-928a-dc54e0c46b6751aa0e10-c46c-4850-a0a2-759e35b08afe51aa0e10-c46c-4850-a0a2-759e35b08afe0691a914-ec49-45c6-abb4-b0f2e2f866960691a914-ec49-45c6-abb4-b0f2e2f86696cc156492-8e00-48d0-8baf-31714a688e76cc156492-8e00-48d0-8baf-31714a688e76b163a415-2708-412b-ba9f-590555163300b163a415-2708-412b-ba9f-5905551633000d037a0e-c14e-4f84-a086-85a7bb061e250d037a0e-c14e-4f84-a086-85a7bb061e25a1efe0f0-c7b2-4c77-a195-4992c8e38a6a1ef23a26-2ca8-4db8-a504-54c334caac3db52d2bb6-6ebf-42b1-bb69-0f64d6bee166a1efe0f0-c7b2-4c77-a195-4992c8e38a6a1ef23a26-2ca8-4db8-a504-54c334caac3dbfa2858f-be1d-4a11-a241-e65626626f0d225e0f47-523d-45b9-90aa-da5413fcbeee1ef23a26-2ca8-4db8-a504-54c334caac3dbfa2858f-be1d-4a11-a241-e65626626f0d06417f83-f5b9-4d3f-94fb-337e1ddabae2f460132e-7730-45f3-bee4-a0e6c1bfcf22bfa2858f-be1d-4a11-a241-e65626626f0d06417f83-f5b9-4d3f-94fb-337e1ddabae2c22ca0eb-2ed6-496a-b1a8-a05c076173932b49d8f5-d9ea-4c8b-95b0-b78753b9e0e106417f83-f5b9-4d3f-94fb-337e1ddabae2c22ca0eb-2ed6-496a-b1a8-a05c07617393b14a43e0-3633-42a9-9e57-ae1bfafcba86d15fabe5-316f-4e02-a8b1-4cb3d553bacbc22ca0eb-2ed6-496a-b1a8-a05c07617393b14a43e0-3633-42a9-9e57-ae1bfafcba86338b4ae2-2ad5-4cf2-a4c6-0ff3d311dd4b71af18e6-dd92-4811-8237-5aebd1a1f5b6b14a43e0-3633-42a9-9e57-ae1bfafcba86338b4ae2-2ad5-4cf2-a4c6-0ff3d311dd4b338b4ae2-2ad5-4cf2-a4c6-0ff3d311dd4b4c45922e-1845-435e-92f5-3fa364868eef4c45922e-1845-435e-92f5-3fa364868eef43d9d051-2e35-4633-9dcc-225bb5b4080e43d9d051-2e35-4633-9dcc-225bb5b4080ed676841b-110e-49c0-a00a-e7c758321888d676841b-110e-49c0-a00a-e7c7583218889a9fbd81-05ab-4375-a0be-c4dd9f80be019a9fbd81-05ab-4375-a0be-c4dd9f80be015d552bb4-207b-4f41-822e-5b585e88e6a75d552bb4-207b-4f41-822e-5b585e88e6a725911abb-cdaf-42a9-bb1c-17ff4776d8e025911abb-cdaf-42a9-bb1c-17ff4776d8e094ecd834-b977-481d-b296-151df2fd623e94ecd834-b977-481d-b296-151df2fd623ea35526f5-7a05-4dd1-83a1-47eff8306ae2a35526f5-7a05-4dd1-83a1-47eff8306ae2441c6df4-3f36-4109-b992-29b0a31874e1441c6df4-3f36-4109-b992-29b0a31874e13c5511bc-8a8b-456c-8fa3-46a634829b303c5511bc-8a8b-456c-8fa3-46a634829b300c26f15d-0232-4022-b405-e5671b8da4cd0c26f15d-0232-4022-b405-e5671b8da4cd9ace4eb9-e66d-419d-b4ed-8f90a53862b19ace4eb9-e66d-419d-b4ed-8f90a53862b192c57c69-4a42-457b-afa9-050448a80cb971af18e6-dd92-4811-8237-5aebd1a1f5b6338b4ae2-2ad5-4cf2-a4c6-0ff3d311dd4b92c57c69-4a42-457b-afa9-050448a80cb971af18e6-dd92-4811-8237-5aebd1a1f5b6d15fabe5-316f-4e02-a8b1-4cb3d553bacbb14a43e0-3633-42a9-9e57-ae1bfafcba8671af18e6-dd92-4811-8237-5aebd1a1f5b6d15fabe5-316f-4e02-a8b1-4cb3d553bacb2b49d8f5-d9ea-4c8b-95b0-b78753b9e0e1c22ca0eb-2ed6-496a-b1a8-a05c07617393d15fabe5-316f-4e02-a8b1-4cb3d553bacb2b49d8f5-d9ea-4c8b-95b0-b78753b9e0e1f460132e-7730-45f3-bee4-a0e6c1bfcf2206417f83-f5b9-4d3f-94fb-337e1ddabae22b49d8f5-d9ea-4c8b-95b0-b78753b9e0e1f460132e-7730-45f3-bee4-a0e6c1bfcf22225e0f47-523d-45b9-90aa-da5413fcbeeebfa2858f-be1d-4a11-a241-e65626626f0df460132e-7730-45f3-bee4-a0e6c1bfcf22225e0f47-523d-45b9-90aa-da5413fcbeeeb52d2bb6-6ebf-42b1-bb69-0f64d6bee1661ef23a26-2ca8-4db8-a504-54c334caac3d225e0f47-523d-45b9-90aa-da5413fcbeeeb52d2bb6-6ebf-42b1-bb69-0f64d6bee166b52d2bb6-6ebf-42b1-bb69-0f64d6bee166a25f201e-7119-4240-afdf-1dffc50fd977c8b8a214-00d3-4acb-807e-d1572ed3d97b51aa0e10-c46c-4850-a0a2-759e35b08afea25f201e-7119-4240-afdf-1dffc50f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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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