IsomiR expression patterns in canonical and Dicer‑independent microRNAs
Multiple microRNA (miRNA) variants, known as isomiRs, are extensively distributed in miRNA loci and predominantly derive from the alternative cleavage of Drosha/Dicer and 3'addition events. The present study aimed to investigate the expression patterns of multiple isomiRs in typical miRNA and D...
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Veröffentlicht in: | Molecular medicine reports 2017-03, Vol.15 (3), p.1071-1078 |
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description | Multiple microRNA (miRNA) variants, known as isomiRs, are extensively distributed in miRNA loci and predominantly derive from the alternative cleavage of Drosha/Dicer and 3'addition events. The present study aimed to investigate the expression patterns of multiple isomiRs in typical miRNA and Dicer‑independent miRNA loci by conducting evolutionary and expression analysis using public datasets. Although different miRNA maturation processes exist, multiple isomiRs can be detected by similar expression distributions. However, isomiR expression in Dicer‑independent miRNA loci tends to be at a moderate level, particularly for random distribution in the ends that are split by Dicer in the typical miRNA loci. Compared with the mature miRNA locus (dominant miRNA locus), the non‑dominant miRNA locus indicates an expression distribution similar to that of the Dicer‑independent miRNA locus. These results increase the understanding of multiple isomiRs in the progression of diseases. |
doi_str_mv | 10.3892/mmr.2017.6117 |
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The present study aimed to investigate the expression patterns of multiple isomiRs in typical miRNA and Dicer‑independent miRNA loci by conducting evolutionary and expression analysis using public datasets. Although different miRNA maturation processes exist, multiple isomiRs can be detected by similar expression distributions. However, isomiR expression in Dicer‑independent miRNA loci tends to be at a moderate level, particularly for random distribution in the ends that are split by Dicer in the typical miRNA loci. Compared with the mature miRNA locus (dominant miRNA locus), the non‑dominant miRNA locus indicates an expression distribution similar to that of the Dicer‑independent miRNA locus. These results increase the understanding of multiple isomiRs in the progression of diseases.</description><identifier>ISSN: 1791-2997</identifier><identifier>EISSN: 1791-3004</identifier><identifier>DOI: 10.3892/mmr.2017.6117</identifier><identifier>PMID: 28098889</identifier><language>eng</language><publisher>Greece: Spandidos Publications</publisher><subject>Biosynthesis ; Cancer ; Confidence intervals ; Databases, Nucleic Acid ; Disease susceptibility ; Evolution, Molecular ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation ; Genetic aspects ; Genetic Loci ; Genomes ; Health aspects ; Humans ; MicroRNA ; MicroRNAs ; MicroRNAs - genetics ; miRNA ; Mutation ; Phylogeny ; Pilot projects ; Software ; Studies ; Transcriptome ; Zebrafish</subject><ispartof>Molecular medicine reports, 2017-03, Vol.15 (3), p.1071-1078</ispartof><rights>COPYRIGHT 2017 Spandidos Publications</rights><rights>Copyright Spandidos Publications UK Ltd. 2017</rights><rights>Copyright: © Liang et al. 2017</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c509t-7e674c892fa5103b556035722e7d0fcae970b0fa591fe94faa68956d3c23e4633</citedby><cites>FETCH-LOGICAL-c509t-7e674c892fa5103b556035722e7d0fcae970b0fa591fe94faa68956d3c23e4633</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28098889$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liang, Tingming</creatorcontrib><creatorcontrib>Yu, Jiafeng</creatorcontrib><creatorcontrib>Liu, Chang</creatorcontrib><creatorcontrib>Guo, Li</creatorcontrib><title>IsomiR expression patterns in canonical and Dicer‑independent microRNAs</title><title>Molecular medicine reports</title><addtitle>Mol Med Rep</addtitle><description>Multiple microRNA (miRNA) variants, known as isomiRs, are extensively distributed in miRNA loci and predominantly derive from the alternative cleavage of Drosha/Dicer and 3'addition events. The present study aimed to investigate the expression patterns of multiple isomiRs in typical miRNA and Dicer‑independent miRNA loci by conducting evolutionary and expression analysis using public datasets. Although different miRNA maturation processes exist, multiple isomiRs can be detected by similar expression distributions. However, isomiR expression in Dicer‑independent miRNA loci tends to be at a moderate level, particularly for random distribution in the ends that are split by Dicer in the typical miRNA loci. Compared with the mature miRNA locus (dominant miRNA locus), the non‑dominant miRNA locus indicates an expression distribution similar to that of the Dicer‑independent miRNA locus. These results increase the understanding of multiple isomiRs in the progression of diseases.</description><subject>Biosynthesis</subject><subject>Cancer</subject><subject>Confidence intervals</subject><subject>Databases, Nucleic Acid</subject><subject>Disease susceptibility</subject><subject>Evolution, Molecular</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation</subject><subject>Genetic aspects</subject><subject>Genetic Loci</subject><subject>Genomes</subject><subject>Health aspects</subject><subject>Humans</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>miRNA</subject><subject>Mutation</subject><subject>Phylogeny</subject><subject>Pilot projects</subject><subject>Software</subject><subject>Studies</subject><subject>Transcriptome</subject><subject>Zebrafish</subject><issn>1791-2997</issn><issn>1791-3004</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkcFq3DAQhkVpSLabHHsNhl5y8UayLMm6FJZNkywsKYTmLLTyONFiS67kLc0tr9BXzJNUZjdJGxCSYD7--Wd-hD4TPKOVLM67LswKTMSMEyI-oAkRkuQU4_Lj_l9IKY7Qpxg3GHNWMHmIjooKy6qq5AQtl9F39jaD332AGK13Wa-HAYKLmXWZ0c47a3SbaVdnF9ZAeH76Y10NPaTLDVlnTfC3N_N4jA4a3UY42b9TdHf57cfiOl99v1ou5qvcMCyHXAAXpUnOG80IpmvGOKZMFAWIGjdGgxR4jVNRkgZk2WjNK8l4TU1BoeSUTtHXnW6_XXdQm2Qi6Fb1wXY6PCqvrfq_4uyDuve_FKNcjGeKzvYCwf_cQhxUZ6OBttUO_DYqUnHCBBndTdGXd-jGb4NL4yki0w4lx4y9Ufe6BWVd41NfM4qqeSkpp4Jgmah8R6V9xRigebVMsBqjVClKNUapxigTf_rvnK_0S3b0Lwu_mjs</recordid><startdate>20170301</startdate><enddate>20170301</enddate><creator>Liang, Tingming</creator><creator>Yu, Jiafeng</creator><creator>Liu, Chang</creator><creator>Guo, Li</creator><general>Spandidos Publications</general><general>Spandidos Publications UK Ltd</general><general>D.A. 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Yu, Jiafeng ; Liu, Chang ; Guo, Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c509t-7e674c892fa5103b556035722e7d0fcae970b0fa591fe94faa68956d3c23e4633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Biosynthesis</topic><topic>Cancer</topic><topic>Confidence intervals</topic><topic>Databases, Nucleic Acid</topic><topic>Disease susceptibility</topic><topic>Evolution, Molecular</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation</topic><topic>Genetic aspects</topic><topic>Genetic Loci</topic><topic>Genomes</topic><topic>Health aspects</topic><topic>Humans</topic><topic>MicroRNA</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>miRNA</topic><topic>Mutation</topic><topic>Phylogeny</topic><topic>Pilot projects</topic><topic>Software</topic><topic>Studies</topic><topic>Transcriptome</topic><topic>Zebrafish</topic><toplevel>online_resources</toplevel><creatorcontrib>Liang, Tingming</creatorcontrib><creatorcontrib>Yu, Jiafeng</creatorcontrib><creatorcontrib>Liu, Chang</creatorcontrib><creatorcontrib>Guo, Li</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Molecular medicine reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liang, Tingming</au><au>Yu, Jiafeng</au><au>Liu, Chang</au><au>Guo, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>IsomiR expression patterns in canonical and Dicer‑independent microRNAs</atitle><jtitle>Molecular medicine reports</jtitle><addtitle>Mol Med Rep</addtitle><date>2017-03-01</date><risdate>2017</risdate><volume>15</volume><issue>3</issue><spage>1071</spage><epage>1078</epage><pages>1071-1078</pages><issn>1791-2997</issn><eissn>1791-3004</eissn><abstract>Multiple microRNA (miRNA) variants, known as isomiRs, are extensively distributed in miRNA loci and predominantly derive from the alternative cleavage of Drosha/Dicer and 3'addition events. 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subjects | Biosynthesis Cancer Confidence intervals Databases, Nucleic Acid Disease susceptibility Evolution, Molecular Gene expression Gene Expression Profiling Gene Expression Regulation Genetic aspects Genetic Loci Genomes Health aspects Humans MicroRNA MicroRNAs MicroRNAs - genetics miRNA Mutation Phylogeny Pilot projects Software Studies Transcriptome Zebrafish |
title | IsomiR expression patterns in canonical and Dicer‑independent microRNAs |
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