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Computational prediction of efficient splice sites for trans-splicing ribozymes
Group I introns have been engineered into trans-splicing ribozymes capable of replacing the 3'-terminal portion of an external mRNA with their own 3'-exon. Although this design makes trans-splicing ribozymes potentially useful for therapeutic application, their trans-splicing efficiency is...
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Published in: | RNA (Cambridge) 2012-03, Vol.18 (3), p.590-602 |
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description | Group I introns have been engineered into trans-splicing ribozymes capable of replacing the 3'-terminal portion of an external mRNA with their own 3'-exon. Although this design makes trans-splicing ribozymes potentially useful for therapeutic application, their trans-splicing efficiency is usually too low for medical use. One factor that strongly influences trans-splicing efficiency is the position of the target splice site on the mRNA substrate. Viable splice sites are currently determined using a biochemical trans-tagging assay. Here, we propose a rapid and inexpensive alternative approach to identify efficient splice sites. This approach involves the computation of the binding free energies between ribozyme and mRNA substrate. We found that the computed binding free energies correlate well with the trans-splicing efficiency experimentally determined at 18 different splice sites on the mRNA of chloramphenicol acetyl transferase. In contrast, our results from the trans-tagging assay correlate less well with measured trans-splicing efficiency. The computed free energy components suggest that splice site efficiency depends on the following secondary structure rearrangements: hybridization of the ribozyme's internal guide sequence (IGS) with mRNA substrate (most important), unfolding of substrate proximal to the splice site, and release of the IGS from the 3'-exon (least important). The proposed computational approach can also be extended to fulfill additional design requirements of efficient trans-splicing ribozymes, such as the optimization of 3'-exon and extended guide sequences. |
doi_str_mv | 10.1261/rna.029884.111 |
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Although this design makes trans-splicing ribozymes potentially useful for therapeutic application, their trans-splicing efficiency is usually too low for medical use. One factor that strongly influences trans-splicing efficiency is the position of the target splice site on the mRNA substrate. Viable splice sites are currently determined using a biochemical trans-tagging assay. Here, we propose a rapid and inexpensive alternative approach to identify efficient splice sites. This approach involves the computation of the binding free energies between ribozyme and mRNA substrate. We found that the computed binding free energies correlate well with the trans-splicing efficiency experimentally determined at 18 different splice sites on the mRNA of chloramphenicol acetyl transferase. In contrast, our results from the trans-tagging assay correlate less well with measured trans-splicing efficiency. The computed free energy components suggest that splice site efficiency depends on the following secondary structure rearrangements: hybridization of the ribozyme's internal guide sequence (IGS) with mRNA substrate (most important), unfolding of substrate proximal to the splice site, and release of the IGS from the 3'-exon (least important). 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The computed free energy components suggest that splice site efficiency depends on the following secondary structure rearrangements: hybridization of the ribozyme's internal guide sequence (IGS) with mRNA substrate (most important), unfolding of substrate proximal to the splice site, and release of the IGS from the 3'-exon (least important). The proposed computational approach can also be extended to fulfill additional design requirements of efficient trans-splicing ribozymes, such as the optimization of 3'-exon and extended guide sequences.</description><subject>Computational Biology - methods</subject><subject>Method</subject><subject>Nucleic Acid Conformation</subject><subject>RNA Splice Sites</subject><subject>RNA, Catalytic - genetics</subject><subject>RNA, Catalytic - metabolism</subject><subject>RNA, Messenger - metabolism</subject><subject>Trans-Splicing - genetics</subject><subject>Transcription, Genetic</subject><issn>1355-8382</issn><issn>1469-9001</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqNkb1PwzAQxS0EoqWwMqJsTCnxRxJ7QUIVX1KlLjBbF_dSjJI42ClS-etxKVSwMfl89-7pnX6EnNNsSllBr3wH04wpKcWUUnpAxlQUKlVZRg9jzfM8lVyyETkJ4TU2eRwfkxFjrBQqL8ZkMXNtvx5gsK6DJuk9Lq3ZfhJXJ1jX1ljshiT0jTWYBDtgSGrnk8FDF9Kvtu1WibeV-9i0GE7JUQ1NwLPvd0Ke726fZg_pfHH_OLuZp0YwOqQIosSCZwWqkgmI-REKuRQQjxI5LQ1AWSmmFM-pEliXhqu6MhkFFCBMySfkeufbr6sWlyaG9NDo3tsW_EY7sPrvpLMveuXeNWcyVyKPBpffBt69rTEMurXBYNNAh24dtGKFlDym-YeSMZpLrqJyulMa70LwWO_z0ExvcemIS-9w6YgrLlz8vmIv_-HDPwGL9pLd</recordid><startdate>20120301</startdate><enddate>20120301</enddate><creator>Meluzzi, Dario</creator><creator>Olson, Karen E</creator><creator>Dolan, Gregory F</creator><creator>Arya, Gaurav</creator><creator>Müller, Ulrich F</creator><general>Cold Spring Harbor Laboratory Press</general><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>7X8</scope><scope>7TM</scope><scope>5PM</scope></search><sort><creationdate>20120301</creationdate><title>Computational prediction of efficient splice sites for trans-splicing ribozymes</title><author>Meluzzi, Dario ; Olson, Karen E ; Dolan, Gregory F ; Arya, Gaurav ; Müller, Ulrich F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c421t-ea47e6306e9724a988ea68d4a1264517caa7b929935194ef7c39fbc01ae4a4c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Computational Biology - methods</topic><topic>Method</topic><topic>Nucleic Acid Conformation</topic><topic>RNA Splice Sites</topic><topic>RNA, Catalytic - genetics</topic><topic>RNA, Catalytic - metabolism</topic><topic>RNA, Messenger - metabolism</topic><topic>Trans-Splicing - genetics</topic><topic>Transcription, Genetic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meluzzi, Dario</creatorcontrib><creatorcontrib>Olson, Karen E</creatorcontrib><creatorcontrib>Dolan, Gregory F</creatorcontrib><creatorcontrib>Arya, Gaurav</creatorcontrib><creatorcontrib>Müller, Ulrich F</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Nucleic Acids Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>RNA (Cambridge)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meluzzi, Dario</au><au>Olson, Karen E</au><au>Dolan, Gregory F</au><au>Arya, Gaurav</au><au>Müller, Ulrich F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computational prediction of efficient splice sites for trans-splicing ribozymes</atitle><jtitle>RNA (Cambridge)</jtitle><addtitle>RNA</addtitle><date>2012-03-01</date><risdate>2012</risdate><volume>18</volume><issue>3</issue><spage>590</spage><epage>602</epage><pages>590-602</pages><issn>1355-8382</issn><eissn>1469-9001</eissn><abstract>Group I introns have been engineered into trans-splicing ribozymes capable of replacing the 3'-terminal portion of an external mRNA with their own 3'-exon. 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The computed free energy components suggest that splice site efficiency depends on the following secondary structure rearrangements: hybridization of the ribozyme's internal guide sequence (IGS) with mRNA substrate (most important), unfolding of substrate proximal to the splice site, and release of the IGS from the 3'-exon (least important). The proposed computational approach can also be extended to fulfill additional design requirements of efficient trans-splicing ribozymes, such as the optimization of 3'-exon and extended guide sequences.</abstract><cop>United States</cop><pub>Cold Spring Harbor Laboratory Press</pub><pmid>22274956</pmid><doi>10.1261/rna.029884.111</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Computational Biology - methods Method Nucleic Acid Conformation RNA Splice Sites RNA, Catalytic - genetics RNA, Catalytic - metabolism RNA, Messenger - metabolism Trans-Splicing - genetics Transcription, Genetic |
title | Computational prediction of efficient splice sites for trans-splicing ribozymes |
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