Loading…
Prediction of Plant MicroRNA Targets
We predict regulatory targets for 14 Arabidopsis microRNAs (miRNAs) by identifying mRNAs with near complementarity. Complementary sites within predicted targets are conserved in rice. Of the 49 predicted targets, 34 are members of transcription factor gene families involved in developmental patterni...
Saved in:
| Published in: | Cell 2002-08, Vol.110 (4), p.513-520 |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | cdi_FETCH-LOGICAL-c491t-20e391faeedee0cd45f6a6906aee8936f16af17b21c3afa950e731eb034fca4f3 |
|---|---|
| cites | cdi_FETCH-LOGICAL-c491t-20e391faeedee0cd45f6a6906aee8936f16af17b21c3afa950e731eb034fca4f3 |
| container_end_page | 520 |
| container_issue | 4 |
| container_start_page | 513 |
| container_title | Cell |
| container_volume | 110 |
| creator | Rhoades, Matthew W. Reinhart, Brenda J. Lim, Lee P. Burge, Christopher B. Bartel, Bonnie Bartel, David P. |
| description | We predict regulatory targets for 14
Arabidopsis microRNAs (miRNAs) by identifying mRNAs with near complementarity. Complementary sites within predicted targets are conserved in rice. Of the 49 predicted targets, 34 are members of transcription factor gene families involved in developmental patterning or cell differentiation. The near-perfect complementarity between plant miRNAs and their targets suggests that many plant miRNAs act similarly to small interfering RNAs and direct mRNA cleavage. The targeting of developmental transcription factors suggests that many plant miRNAs function during cellular differentiation to clear key regulatory transcripts from daughter cell lineages. |
| doi_str_mv | 10.1016/S0092-8674(02)00863-2 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_72042964</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0092867402008632</els_id><sourcerecordid>72042964</sourcerecordid><originalsourceid>FETCH-LOGICAL-c491t-20e391faeedee0cd45f6a6906aee8936f16af17b21c3afa950e731eb034fca4f3</originalsourceid><addsrcrecordid>eNqFkMtKAzEUhoMotlYfQZmFiC5GTzKZZLKSUrxB1aJ1HdLMiUTajiZTwbc3vaDLrg4cvnP5P0KOKVxSoOLqFUCxvBKSnwO7AKhEkbMd0qWgZM6pZLuk-4d0yEGMH5Cosiz3SYcyBgw4dMnpKGDtbeubeda4bDQ18zZ79DY0L0_9bGzCO7bxkOw5M414tKk98nZ7Mx7c58Pnu4dBf5hbrmibM8BCUWcQa0SwNS-dMEKBSJ1KFcJRYRyVE0ZtYZxRJaAsKE6g4M4a7ooeOVvv_QzN1wJjq2c-Wpymp7BZRC3Tz0wJvhWkKTRUTCawXIMpUIwBnf4MfmbCj6aglx71yqNeStLA9MqjZmnuZHNgMZlh_T-1EZeA6zWAyce3x6Cj9Ti3SWZA2-q68VtO_AJ2F4CY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>18670827</pqid></control><display><type>article</type><title>Prediction of Plant MicroRNA Targets</title><source>BACON - Elsevier - GLOBAL_SCIENCEDIRECT-OPENACCESS</source><creator>Rhoades, Matthew W. ; Reinhart, Brenda J. ; Lim, Lee P. ; Burge, Christopher B. ; Bartel, Bonnie ; Bartel, David P.</creator><creatorcontrib>Rhoades, Matthew W. ; Reinhart, Brenda J. ; Lim, Lee P. ; Burge, Christopher B. ; Bartel, Bonnie ; Bartel, David P.</creatorcontrib><description>We predict regulatory targets for 14
Arabidopsis microRNAs (miRNAs) by identifying mRNAs with near complementarity. Complementary sites within predicted targets are conserved in rice. Of the 49 predicted targets, 34 are members of transcription factor gene families involved in developmental patterning or cell differentiation. The near-perfect complementarity between plant miRNAs and their targets suggests that many plant miRNAs act similarly to small interfering RNAs and direct mRNA cleavage. The targeting of developmental transcription factors suggests that many plant miRNAs function during cellular differentiation to clear key regulatory transcripts from daughter cell lineages.</description><identifier>ISSN: 0092-8674</identifier><identifier>EISSN: 1097-4172</identifier><identifier>DOI: 10.1016/S0092-8674(02)00863-2</identifier><identifier>PMID: 12202040</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Arabidopsis - genetics ; Arabidopsis - growth & development ; Arabidopsis - metabolism ; Arabidopsis Proteins - genetics ; Arabidopsis Proteins - metabolism ; Cell Differentiation - genetics ; Cell Division - genetics ; Cell Lineage - genetics ; Gene Expression Regulation, Developmental - genetics ; Gene Expression Regulation, Plant - genetics ; Genes, Regulator - genetics ; MicroRNAs ; Models, Biological ; Molecular Sequence Data ; Predictive Value of Tests ; RNA, Antisense - genetics ; RNA, Antisense - metabolism ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; RNA, Untranslated - genetics ; RNA, Untranslated - metabolism ; Sequence Homology, Amino Acid ; Sequence Homology, Nucleic Acid ; Signal Transduction - genetics ; Transcription Factors - genetics</subject><ispartof>Cell, 2002-08, Vol.110 (4), p.513-520</ispartof><rights>2002 Cell Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c491t-20e391faeedee0cd45f6a6906aee8936f16af17b21c3afa950e731eb034fca4f3</citedby><cites>FETCH-LOGICAL-c491t-20e391faeedee0cd45f6a6906aee8936f16af17b21c3afa950e731eb034fca4f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,786,790,27957,27958</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12202040$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rhoades, Matthew W.</creatorcontrib><creatorcontrib>Reinhart, Brenda J.</creatorcontrib><creatorcontrib>Lim, Lee P.</creatorcontrib><creatorcontrib>Burge, Christopher B.</creatorcontrib><creatorcontrib>Bartel, Bonnie</creatorcontrib><creatorcontrib>Bartel, David P.</creatorcontrib><title>Prediction of Plant MicroRNA Targets</title><title>Cell</title><addtitle>Cell</addtitle><description>We predict regulatory targets for 14
Arabidopsis microRNAs (miRNAs) by identifying mRNAs with near complementarity. Complementary sites within predicted targets are conserved in rice. Of the 49 predicted targets, 34 are members of transcription factor gene families involved in developmental patterning or cell differentiation. The near-perfect complementarity between plant miRNAs and their targets suggests that many plant miRNAs act similarly to small interfering RNAs and direct mRNA cleavage. The targeting of developmental transcription factors suggests that many plant miRNAs function during cellular differentiation to clear key regulatory transcripts from daughter cell lineages.</description><subject>Arabidopsis - genetics</subject><subject>Arabidopsis - growth & development</subject><subject>Arabidopsis - metabolism</subject><subject>Arabidopsis Proteins - genetics</subject><subject>Arabidopsis Proteins - metabolism</subject><subject>Cell Differentiation - genetics</subject><subject>Cell Division - genetics</subject><subject>Cell Lineage - genetics</subject><subject>Gene Expression Regulation, Developmental - genetics</subject><subject>Gene Expression Regulation, Plant - genetics</subject><subject>Genes, Regulator - genetics</subject><subject>MicroRNAs</subject><subject>Models, Biological</subject><subject>Molecular Sequence Data</subject><subject>Predictive Value of Tests</subject><subject>RNA, Antisense - genetics</subject><subject>RNA, Antisense - metabolism</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>RNA, Untranslated - genetics</subject><subject>RNA, Untranslated - metabolism</subject><subject>Sequence Homology, Amino Acid</subject><subject>Sequence Homology, Nucleic Acid</subject><subject>Signal Transduction - genetics</subject><subject>Transcription Factors - genetics</subject><issn>0092-8674</issn><issn>1097-4172</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><recordid>eNqFkMtKAzEUhoMotlYfQZmFiC5GTzKZZLKSUrxB1aJ1HdLMiUTajiZTwbc3vaDLrg4cvnP5P0KOKVxSoOLqFUCxvBKSnwO7AKhEkbMd0qWgZM6pZLuk-4d0yEGMH5Cosiz3SYcyBgw4dMnpKGDtbeubeda4bDQ18zZ79DY0L0_9bGzCO7bxkOw5M414tKk98nZ7Mx7c58Pnu4dBf5hbrmibM8BCUWcQa0SwNS-dMEKBSJ1KFcJRYRyVE0ZtYZxRJaAsKE6g4M4a7ooeOVvv_QzN1wJjq2c-Wpymp7BZRC3Tz0wJvhWkKTRUTCawXIMpUIwBnf4MfmbCj6aglx71yqNeStLA9MqjZmnuZHNgMZlh_T-1EZeA6zWAyce3x6Cj9Ti3SWZA2-q68VtO_AJ2F4CY</recordid><startdate>20020823</startdate><enddate>20020823</enddate><creator>Rhoades, Matthew W.</creator><creator>Reinhart, Brenda J.</creator><creator>Lim, Lee P.</creator><creator>Burge, Christopher B.</creator><creator>Bartel, Bonnie</creator><creator>Bartel, David P.</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TM</scope><scope>7X8</scope></search><sort><creationdate>20020823</creationdate><title>Prediction of Plant MicroRNA Targets</title><author>Rhoades, Matthew W. ; Reinhart, Brenda J. ; Lim, Lee P. ; Burge, Christopher B. ; Bartel, Bonnie ; Bartel, David P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c491t-20e391faeedee0cd45f6a6906aee8936f16af17b21c3afa950e731eb034fca4f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Arabidopsis - genetics</topic><topic>Arabidopsis - growth & development</topic><topic>Arabidopsis - metabolism</topic><topic>Arabidopsis Proteins - genetics</topic><topic>Arabidopsis Proteins - metabolism</topic><topic>Cell Differentiation - genetics</topic><topic>Cell Division - genetics</topic><topic>Cell Lineage - genetics</topic><topic>Gene Expression Regulation, Developmental - genetics</topic><topic>Gene Expression Regulation, Plant - genetics</topic><topic>Genes, Regulator - genetics</topic><topic>MicroRNAs</topic><topic>Models, Biological</topic><topic>Molecular Sequence Data</topic><topic>Predictive Value of Tests</topic><topic>RNA, Antisense - genetics</topic><topic>RNA, Antisense - metabolism</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - metabolism</topic><topic>RNA, Untranslated - genetics</topic><topic>RNA, Untranslated - metabolism</topic><topic>Sequence Homology, Amino Acid</topic><topic>Sequence Homology, Nucleic Acid</topic><topic>Signal Transduction - genetics</topic><topic>Transcription Factors - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rhoades, Matthew W.</creatorcontrib><creatorcontrib>Reinhart, Brenda J.</creatorcontrib><creatorcontrib>Lim, Lee P.</creatorcontrib><creatorcontrib>Burge, Christopher B.</creatorcontrib><creatorcontrib>Bartel, Bonnie</creatorcontrib><creatorcontrib>Bartel, David P.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Nucleic Acids Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Cell</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rhoades, Matthew W.</au><au>Reinhart, Brenda J.</au><au>Lim, Lee P.</au><au>Burge, Christopher B.</au><au>Bartel, Bonnie</au><au>Bartel, David P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of Plant MicroRNA Targets</atitle><jtitle>Cell</jtitle><addtitle>Cell</addtitle><date>2002-08-23</date><risdate>2002</risdate><volume>110</volume><issue>4</issue><spage>513</spage><epage>520</epage><pages>513-520</pages><issn>0092-8674</issn><eissn>1097-4172</eissn><notes>ObjectType-Article-2</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-1</notes><notes>content type line 23</notes><notes>ObjectType-Article-1</notes><notes>ObjectType-Feature-2</notes><abstract>We predict regulatory targets for 14
Arabidopsis microRNAs (miRNAs) by identifying mRNAs with near complementarity. Complementary sites within predicted targets are conserved in rice. Of the 49 predicted targets, 34 are members of transcription factor gene families involved in developmental patterning or cell differentiation. The near-perfect complementarity between plant miRNAs and their targets suggests that many plant miRNAs act similarly to small interfering RNAs and direct mRNA cleavage. The targeting of developmental transcription factors suggests that many plant miRNAs function during cellular differentiation to clear key regulatory transcripts from daughter cell lineages.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>12202040</pmid><doi>10.1016/S0092-8674(02)00863-2</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0092-8674 |
| ispartof | Cell, 2002-08, Vol.110 (4), p.513-520 |
| issn | 0092-8674 1097-4172 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_72042964 |
| source | BACON - Elsevier - GLOBAL_SCIENCEDIRECT-OPENACCESS |
| subjects | Arabidopsis - genetics Arabidopsis - growth & development Arabidopsis - metabolism Arabidopsis Proteins - genetics Arabidopsis Proteins - metabolism Cell Differentiation - genetics Cell Division - genetics Cell Lineage - genetics Gene Expression Regulation, Developmental - genetics Gene Expression Regulation, Plant - genetics Genes, Regulator - genetics MicroRNAs Models, Biological Molecular Sequence Data Predictive Value of Tests RNA, Antisense - genetics RNA, Antisense - metabolism RNA, Messenger - genetics RNA, Messenger - metabolism RNA, Untranslated - genetics RNA, Untranslated - metabolism Sequence Homology, Amino Acid Sequence Homology, Nucleic Acid Signal Transduction - genetics Transcription Factors - genetics |
| title | Prediction of Plant MicroRNA Targets |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-09-21T18%3A02%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prediction%20of%20Plant%20MicroRNA%20Targets&rft.jtitle=Cell&rft.au=Rhoades,%20Matthew%20W.&rft.date=2002-08-23&rft.volume=110&rft.issue=4&rft.spage=513&rft.epage=520&rft.pages=513-520&rft.issn=0092-8674&rft.eissn=1097-4172&rft_id=info:doi/10.1016/S0092-8674(02)00863-2&rft_dat=%3Cproquest_cross%3E72042964%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c491t-20e391faeedee0cd45f6a6906aee8936f16af17b21c3afa950e731eb034fca4f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=18670827&rft_id=info:pmid/12202040&rfr_iscdi=true |