Precursor miRBase

cfa-mir-376a-2 (MI0008142)

Accession MI0008142
Name cfa-mir-376a-2
similar to following miRCarta precursors cfa-469.2
Organism Canis familiaris
Genome CanFam3.1
Location chr8:69,270,499-69,270,556 (+)
miRNA cfa-miR-376a
Sequence (5' -> 3')
(58 nts)
GUAGAUUUUCCUUCUAUGAUUACGUGUUUGAUGGUUAAUCAUAGAGGAAAAUCCACGU
MFE -22.90 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(16 precursors)
cfa-mir-494
cfa-mir-543
cfa-mir-495
cfa-mir-3958
cfa-mir-376a-3
cfa-mir-376c
cfa-mir-376a-2
cfa-mir-376b
cfa-mir-376a-1
cfa-mir-300
cfa-mir-1185
cfa-mir-381
cfa-mir-487b
cfa-mir-539
cfa-mir-889
cfa-mir-544
Family mir-368 (MIPF0000091)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR376A-2
NCBI Gene 100885950

Predicted Structure

2bbae006-2440-4d97-a1e5-c6f99cac63f5f281689c-6d02-42f2-bb45-fa2cc6066c474d7eb87c-bbe7-4430-b9ee-9091cb37b6dc3a3aa187-8c2f-4d42-9752-2ed8f81b6fd62bbae006-2440-4d97-a1e5-c6f99cac63f54d7eb87c-bbe7-4430-b9ee-9091cb37b6dc4d7eb87c-bbe7-4430-b9ee-9091cb37b6dc6765699a-b4f0-4e4e-9ca9-7898545d1972a59218d6-d8b1-43cd-b1e6-e880ee8a82e30d9cb239-7c8c-4916-9269-e9c2e6a4d4ae6765699a-b4f0-4e4e-9ca9-7898545d1972a59218d6-d8b1-43cd-b1e6-e880ee8a82e313d154bc-a766-4bdb-8a0c-4c803ada4336e36d7438-0825-436d-93e2-e2e2c3bb5a0da59218d6-d8b1-43cd-b1e6-e880ee8a82e313d154bc-a766-4bdb-8a0c-4c803ada4336493a3b08-370d-4fad-8356-0cfb5c52137d8bbd4a4e-7f4f-46a8-9f78-c953cf711d6313d154bc-a766-4bdb-8a0c-4c803ada4336493a3b08-370d-4fad-8356-0cfb5c52137d147f68d1-5b63-455b-a168-1553067ce93285f2427e-c6ec-438a-9588-89ebcb601f33493a3b08-370d-4fad-8356-0cfb5c52137d147f68d1-5b63-455b-a168-1553067ce932275fef13-6983-4bc3-b4f2-75adce2a3518934e5d12-af8d-4c19-8f10-f8f4f4ba8cb1147f68d1-5b63-455b-a168-1553067ce932275fef13-6983-4bc3-b4f2-75adce2a35189d4e683e-70c6-47c1-b1d9-4d7237966f1b4b79ed2d-3d2a-4ed5-acf4-db8755a14000275fef13-6983-4bc3-b4f2-75adce2a35189d4e683e-70c6-47c1-b1d9-4d7237966f1bf9f438fa-fb1f-4763-916b-ba543b93f9137a38393b-ddda-4b5d-a666-df04a218315c9d4e683e-70c6-47c1-b1d9-4d7237966f1bf9f438fa-fb1f-4763-916b-ba543b93f913efd75d30-80ad-407a-ad4c-8caf98cdf29f01dc02b3-2343-4390-a39d-dc7fd0b59a1cf9f438fa-fb1f-4763-916b-ba543b93f913efd75d30-80ad-407a-ad4c-8caf98cdf29fa8baf5c1-a751-4f04-8cd3-fd0d9934782367fd53d9-977c-43ac-a2fd-8f9126b578bbefd75d30-80ad-407a-ad4c-8caf98cdf29fa8baf5c1-a751-4f04-8cd3-fd0d99347823a8baf5c1-a751-4f04-8cd3-fd0d99347823a2b08722-48ee-4d75-8e52-7c2606e111f6711beaad-7aa3-4bf5-a002-3cdbc568954452001b31-3b00-4c9d-840a-d1e1c1ec6503a2b08722-48ee-4d75-8e52-7c2606e111f6711beaad-7aa3-4bf5-a002-3cdbc5689544792fc654-69cc-48f9-873a-38e46c3d449db3573fff-3be2-4f25-855c-cbaf589992a0711beaad-7aa3-4bf5-a002-3cdbc5689544792fc654-69cc-48f9-873a-38e46c3d449d4117b6a2-dd1f-4913-8ab0-be78d736637eb048a2f5-8286-47aa-8ab2-fe54fbfb3427792fc654-69cc-48f9-873a-38e46c3d449d4117b6a2-dd1f-4913-8ab0-be78d736637e5024fce2-6a57-4ce5-a22a-be4e29cea1af3daba69b-23e2-4e01-892d-b419ffbe07574117b6a2-dd1f-4913-8ab0-be78d736637e5024fce2-6a57-4ce5-a22a-be4e29cea1af654b06c1-7918-4d35-9c43-aee7e7be1481ab919bfb-7735-41a0-81b4-5ef9853b62b85024fce2-6a57-4ce5-a22a-be4e29cea1af654b06c1-7918-4d35-9c43-aee7e7be14817ff6baee-5b7b-4e06-b030-a53abe215b4e150dcf9e-b433-46dc-805b-f459e335b7e2654b06c1-7918-4d35-9c43-aee7e7be14817ff6baee-5b7b-4e06-b030-a53abe215b4ef3f87c00-885a-40cb-832d-5c9f7e2faaaa50f57e2f-76bf-4036-b269-5dc62fca86447ff6baee-5b7b-4e06-b030-a53abe215b4ef3f87c00-885a-40cb-832d-5c9f7e2faaaa784b9c74-e3ec-4cd4-a2bf-a718b1f83daad63ab172-014a-4fce-b1b8-a5ebbedf835cf3f87c00-885a-40cb-832d-5c9f7e2faaaa784b9c74-e3ec-4cd4-a2bf-a718b1f83daa9282a503-aa55-4a84-9a78-2668f68cfd75285cf816-e862-4600-a44c-43b459861c21784b9c74-e3ec-4cd4-a2bf-a718b1f83daa9282a503-aa55-4a84-9a78-2668f68cfd75c57c6618-d142-4c64-805a-9a0ce312b597858ec423-8501-4ee4-90d0-1c5d687d44d39282a503-aa55-4a84-9a78-2668f68cfd75c57c6618-d142-4c64-805a-9a0ce312b597f9f6953a-1a15-4b4e-9256-c53f6e5e2bfef331b2e4-f0b8-420e-b371-61ed07c6e78ec57c6618-d142-4c64-805a-9a0ce312b597f9f6953a-1a15-4b4e-9256-c53f6e5e2bfe8d27c724-906d-440a-a228-34bc3377af31ed625b53-2561-4323-8a96-2e7e9ebd5479f9f6953a-1a15-4b4e-9256-c53f6e5e2bfe8d27c724-906d-440a-a228-34bc3377af318d27c724-906d-440a-a228-34bc3377af319446c16e-a7e3-4fc7-ac1b-2f861dcf7b1a9446c16e-a7e3-4fc7-ac1b-2f861dcf7b1a1521ae63-34e5-4852-9c78-161ad0d5dac41521ae63-34e5-4852-9c78-161ad0d5dac4a9aceb31-8a78-41f5-a8c4-5d74dd0d78fda9aceb31-8a78-41f5-a8c4-5d74dd0d78fd6782d0b8-fa76-4c51-a4e5-0a1ccdc924c76782d0b8-fa76-4c51-a4e5-0a1ccdc924c72f46e5a6-9ff5-44dc-b014-74148b834014ed625b53-2561-4323-8a96-2e7e9ebd54798d27c724-906d-440a-a228-34bc3377af312f46e5a6-9ff5-44dc-b014-74148b834014ed625b53-2561-4323-8a96-2e7e9ebd5479f331b2e4-f0b8-420e-b371-61ed07c6e78ef9f6953a-1a15-4b4e-9256-c53f6e5e2bfeed625b53-2561-4323-8a96-2e7e9ebd5479f331b2e4-f0b8-420e-b371-61ed07c6e78e858ec423-8501-4ee4-90d0-1c5d687d44d3c57c6618-d142-4c64-805a-9a0ce312b597f331b2e4-f0b8-420e-b371-61ed07c6e78e858ec423-8501-4ee4-90d0-1c5d687d44d3858ec423-8501-4ee4-90d0-1c5d687d44d315e86a12-cd35-4b71-bfe8-25d748fb2fec15e86a12-cd35-4b71-bfe8-25d748fb2fecc1379940-a556-4278-b87c-9949cc987f6a285cf816-e862-4600-a44c-43b459861c219282a503-aa55-4a84-9a78-2668f68cfd75c1379940-a556-4278-b87c-9949cc987f6a285cf816-e862-4600-a44c-43b459861c21d63ab172-014a-4fce-b1b8-a5ebbedf835c784b9c74-e3ec-4cd4-a2bf-a718b1f83daa285cf816-e862-4600-a44c-43b459861c21d63ab172-014a-4fce-b1b8-a5ebbedf835c50f57e2f-76bf-4036-b269-5dc62fca8644f3f87c00-885a-40cb-832d-5c9f7e2faaaad63ab172-014a-4fce-b1b8-a5ebbedf835c50f57e2f-76bf-4036-b269-5dc62fca8644150dcf9e-b433-46dc-805b-f459e335b7e27ff6baee-5b7b-4e06-b030-a53abe215b4e50f57e2f-76bf-4036-b269-5dc62fca8644150dcf9e-b433-46dc-805b-f459e335b7e2ab919bfb-7735-41a0-81b4-5ef9853b62b8654b06c1-7918-4d35-9c43-aee7e7be1481150dcf9e-b433-46dc-805b-f459e335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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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