Specific inhibition of diverse pathogens in human cells by synthetic microRNA-like oligonucleotides inferred from RNAi screens
Systematic genetic perturbation screening in human cells remains technically challenging. Typically, large libraries of chemically synthesized siRNA oligonucleotides are used, each designed to degrade a specific cellular mRNA via the RNA interference (RNAi) mechanism. Here, we report on data from th...
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creator | Franceschini, Andrea Meier, Roger Casanova, Alain Kreibich, Saskia Daga, Neha Andritschke, Daniel Dilling, Sabrina Rämö, Pauli Emmenlauer, Mario Kaufmann, Andreas Conde-Álvarez, Raquel Low, Shyan Huey Pelkmans, Lucas Helenius, Ari Hardt, Wolf-Dietrich Dehio, Christoph von Mering, Christian |
description | Systematic genetic perturbation screening in human cells remains technically challenging. Typically, large libraries of chemically synthesized siRNA oligonucleotides are used, each designed to degrade a specific cellular mRNA via the RNA interference (RNAi) mechanism. Here, we report on data from three genome-wide siRNA screens, conducted to uncover host factors required for infection of human cells by two bacterial and one viral pathogen. We find that the majority of phenotypic effects of siRNAs are unrelated to the intended "on-target" mechanism, defined by full complementarity of the 21-nt siRNA sequence to a target mRNA. Instead, phenotypes are largely dictated by "off-target" effects resulting from partial complementarity of siRNAs to multiple mRNAs via the "seed" region (i.e., nucleotides 2—8), reminiscent of the way specificity is determined for endogenous microRNAs. Quantitative analysis enabled the prediction of seeds that strongly and specifically block infection, independent of the intended ontarget effect. This prediction was confirmed experimentally by designing oligos that do not have any on-target sequence match at all, yet can strongly reproduce the predicted phenotypes. Our results suggest that published RNAi screens have primarily, and unintentionally, screened the sequence space of microRNA seeds instead of the intended on-target space of protein-coding genes. This helps to explain why previously published RNAi screens have exhibited relatively little overlap. Our analysis suggests a possible way of identifying "seed reagents" for controlling phenotypes of interest and establishes a general strategy for extracting valuable untapped information from past and future RNAi screens. |
doi_str_mv | 10.1073/pnas.1402353111 |
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Typically, large libraries of chemically synthesized siRNA oligonucleotides are used, each designed to degrade a specific cellular mRNA via the RNA interference (RNAi) mechanism. Here, we report on data from three genome-wide siRNA screens, conducted to uncover host factors required for infection of human cells by two bacterial and one viral pathogen. We find that the majority of phenotypic effects of siRNAs are unrelated to the intended "on-target" mechanism, defined by full complementarity of the 21-nt siRNA sequence to a target mRNA. Instead, phenotypes are largely dictated by "off-target" effects resulting from partial complementarity of siRNAs to multiple mRNAs via the "seed" region (i.e., nucleotides 2—8), reminiscent of the way specificity is determined for endogenous microRNAs. Quantitative analysis enabled the prediction of seeds that strongly and specifically block infection, independent of the intended ontarget effect. This prediction was confirmed experimentally by designing oligos that do not have any on-target sequence match at all, yet can strongly reproduce the predicted phenotypes. Our results suggest that published RNAi screens have primarily, and unintentionally, screened the sequence space of microRNA seeds instead of the intended on-target space of protein-coding genes. This helps to explain why previously published RNAi screens have exhibited relatively little overlap. Our analysis suggests a possible way of identifying "seed reagents" for controlling phenotypes of interest and establishes a general strategy for extracting valuable untapped information from past and future RNAi screens.</description><identifier>ISSN: 0027-8424</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.1402353111</identifier><identifier>PMID: 24616511</identifier><language>eng</language><publisher>United States: National Academy of Sciences</publisher><subject>Base Sequence ; Biological Sciences ; Brucella abortus - drug effects ; Brucella abortus - genetics ; Bunyaviridae - drug effects ; Bunyaviridae - genetics ; Genes, Bacterial ; Genetic screening ; Genetic testing ; Genotype & phenotype ; HeLa Cells ; Humans ; Infections ; Libraries ; Medical screening ; Messenger RNA ; MicroRNA ; MicroRNAs - genetics ; Oligonucleotides - pharmacology ; Pathogens ; Phenotypes ; Reagents ; Ribonucleic acid ; RNA ; RNA Interference ; RNA, Small Interfering - genetics ; Salmonella typhimurium - drug effects ; Salmonella typhimurium - genetics ; Small interfering RNA ; Vendors</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2014-03, Vol.111 (12), p.4548-4553</ispartof><rights>copyright © 1993–2008 National Academy of Sciences of the United States of America</rights><rights>Copyright National Academy of Sciences Mar 25, 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c566t-da9a40aca9baf8a14dc0bbaf9b4c3a29b3d0ecf829599ba03d95fd4ebcb9a0253</citedby><cites>FETCH-LOGICAL-c566t-da9a40aca9baf8a14dc0bbaf9b4c3a29b3d0ecf829599ba03d95fd4ebcb9a0253</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.pnas.org/content/111/12.cover.gif</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/23771104$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/23771104$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,727,780,784,803,885,27923,27924,53790,53792,58016,58249</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24616511$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Franceschini, Andrea</creatorcontrib><creatorcontrib>Meier, Roger</creatorcontrib><creatorcontrib>Casanova, Alain</creatorcontrib><creatorcontrib>Kreibich, Saskia</creatorcontrib><creatorcontrib>Daga, Neha</creatorcontrib><creatorcontrib>Andritschke, Daniel</creatorcontrib><creatorcontrib>Dilling, Sabrina</creatorcontrib><creatorcontrib>Rämö, Pauli</creatorcontrib><creatorcontrib>Emmenlauer, Mario</creatorcontrib><creatorcontrib>Kaufmann, Andreas</creatorcontrib><creatorcontrib>Conde-Álvarez, Raquel</creatorcontrib><creatorcontrib>Low, Shyan Huey</creatorcontrib><creatorcontrib>Pelkmans, Lucas</creatorcontrib><creatorcontrib>Helenius, Ari</creatorcontrib><creatorcontrib>Hardt, Wolf-Dietrich</creatorcontrib><creatorcontrib>Dehio, Christoph</creatorcontrib><creatorcontrib>von Mering, Christian</creatorcontrib><title>Specific inhibition of diverse pathogens in human cells by synthetic microRNA-like oligonucleotides inferred from RNAi screens</title><title>Proceedings of the National Academy of Sciences - PNAS</title><addtitle>Proc Natl Acad Sci U S A</addtitle><description>Systematic genetic perturbation screening in human cells remains technically challenging. Typically, large libraries of chemically synthesized siRNA oligonucleotides are used, each designed to degrade a specific cellular mRNA via the RNA interference (RNAi) mechanism. Here, we report on data from three genome-wide siRNA screens, conducted to uncover host factors required for infection of human cells by two bacterial and one viral pathogen. We find that the majority of phenotypic effects of siRNAs are unrelated to the intended "on-target" mechanism, defined by full complementarity of the 21-nt siRNA sequence to a target mRNA. Instead, phenotypes are largely dictated by "off-target" effects resulting from partial complementarity of siRNAs to multiple mRNAs via the "seed" region (i.e., nucleotides 2—8), reminiscent of the way specificity is determined for endogenous microRNAs. Quantitative analysis enabled the prediction of seeds that strongly and specifically block infection, independent of the intended ontarget effect. This prediction was confirmed experimentally by designing oligos that do not have any on-target sequence match at all, yet can strongly reproduce the predicted phenotypes. Our results suggest that published RNAi screens have primarily, and unintentionally, screened the sequence space of microRNA seeds instead of the intended on-target space of protein-coding genes. This helps to explain why previously published RNAi screens have exhibited relatively little overlap. Our analysis suggests a possible way of identifying "seed reagents" for controlling phenotypes of interest and establishes a general strategy for extracting valuable untapped information from past and future RNAi screens.</description><subject>Base Sequence</subject><subject>Biological Sciences</subject><subject>Brucella abortus - drug effects</subject><subject>Brucella abortus - genetics</subject><subject>Bunyaviridae - drug effects</subject><subject>Bunyaviridae - genetics</subject><subject>Genes, Bacterial</subject><subject>Genetic screening</subject><subject>Genetic testing</subject><subject>Genotype & phenotype</subject><subject>HeLa Cells</subject><subject>Humans</subject><subject>Infections</subject><subject>Libraries</subject><subject>Medical screening</subject><subject>Messenger RNA</subject><subject>MicroRNA</subject><subject>MicroRNAs - genetics</subject><subject>Oligonucleotides - pharmacology</subject><subject>Pathogens</subject><subject>Phenotypes</subject><subject>Reagents</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA Interference</subject><subject>RNA, Small Interfering - genetics</subject><subject>Salmonella typhimurium - drug effects</subject><subject>Salmonella typhimurium - genetics</subject><subject>Small interfering RNA</subject><subject>Vendors</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNksuP1SAYxYnRONfRtSuVxI2bzvDxaMvGZDLxlUw08bEmlNJbri1UaCe5G_92ae71jrpyBcn3Owc4HISeArkAUrHLyet0AZxQJhgA3EMbIBKKkktyH20IoVVRc8rP0KOUdoQQKWryEJ1RXkIpADbo55fJGtc5g53vXeNmFzwOHW7drY3J4knPfdhan_Ic98uoPTZ2GBJu9jjt_dzbOWtHZ2L4_PGqGNx3i8PgtsEvZrBhdq1dpZ2N0ba4i2HEmXM4mWiz62P0oNNDsk-O6zn69vbN1-v3xc2ndx-ur24KI8pyLlotNSfaaNnortbAW0OavJUNN0xT2bCWWNPVVAqZEcJaKbqW28Y0UhMq2Dl6ffCdlma0rbF-jnpQU3SjjnsVtFN_T7zr1TbcKiYrIijJBq-OBjH8WGya1ejSmoT2NixJwQpVgtXwHyhwzoQQNKMv_0F3YYk-J7FSIBmraZ2pywOVQ04p2u50byBqrYFaa6DuapAVz_987on__e8ZeHEEVuXJDkABVVzw9dBnB2KX5hDvHFhVARDOfgEEZ8WY</recordid><startdate>20140325</startdate><enddate>20140325</enddate><creator>Franceschini, Andrea</creator><creator>Meier, Roger</creator><creator>Casanova, Alain</creator><creator>Kreibich, Saskia</creator><creator>Daga, Neha</creator><creator>Andritschke, Daniel</creator><creator>Dilling, Sabrina</creator><creator>Rämö, Pauli</creator><creator>Emmenlauer, Mario</creator><creator>Kaufmann, Andreas</creator><creator>Conde-Álvarez, Raquel</creator><creator>Low, Shyan Huey</creator><creator>Pelkmans, Lucas</creator><creator>Helenius, Ari</creator><creator>Hardt, Wolf-Dietrich</creator><creator>Dehio, Christoph</creator><creator>von Mering, Christian</creator><general>National Academy of Sciences</general><general>National Acad Sciences</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>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140325</creationdate><title>Specific inhibition of diverse pathogens in human cells by synthetic microRNA-like oligonucleotides inferred from RNAi screens</title><author>Franceschini, Andrea ; Meier, Roger ; Casanova, Alain ; Kreibich, Saskia ; Daga, Neha ; Andritschke, Daniel ; Dilling, Sabrina ; Rämö, Pauli ; Emmenlauer, Mario ; Kaufmann, Andreas ; Conde-Álvarez, Raquel ; Low, Shyan Huey ; Pelkmans, Lucas ; Helenius, Ari ; Hardt, Wolf-Dietrich ; Dehio, Christoph ; von Mering, Christian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c566t-da9a40aca9baf8a14dc0bbaf9b4c3a29b3d0ecf829599ba03d95fd4ebcb9a0253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Base Sequence</topic><topic>Biological Sciences</topic><topic>Brucella abortus - drug effects</topic><topic>Brucella abortus - genetics</topic><topic>Bunyaviridae - drug effects</topic><topic>Bunyaviridae - genetics</topic><topic>Genes, Bacterial</topic><topic>Genetic screening</topic><topic>Genetic testing</topic><topic>Genotype & phenotype</topic><topic>HeLa Cells</topic><topic>Humans</topic><topic>Infections</topic><topic>Libraries</topic><topic>Medical screening</topic><topic>Messenger RNA</topic><topic>MicroRNA</topic><topic>MicroRNAs - genetics</topic><topic>Oligonucleotides - pharmacology</topic><topic>Pathogens</topic><topic>Phenotypes</topic><topic>Reagents</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA Interference</topic><topic>RNA, Small Interfering - genetics</topic><topic>Salmonella typhimurium - drug effects</topic><topic>Salmonella typhimurium - genetics</topic><topic>Small interfering RNA</topic><topic>Vendors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Franceschini, Andrea</creatorcontrib><creatorcontrib>Meier, Roger</creatorcontrib><creatorcontrib>Casanova, Alain</creatorcontrib><creatorcontrib>Kreibich, Saskia</creatorcontrib><creatorcontrib>Daga, Neha</creatorcontrib><creatorcontrib>Andritschke, Daniel</creatorcontrib><creatorcontrib>Dilling, Sabrina</creatorcontrib><creatorcontrib>Rämö, Pauli</creatorcontrib><creatorcontrib>Emmenlauer, Mario</creatorcontrib><creatorcontrib>Kaufmann, Andreas</creatorcontrib><creatorcontrib>Conde-Álvarez, Raquel</creatorcontrib><creatorcontrib>Low, Shyan Huey</creatorcontrib><creatorcontrib>Pelkmans, Lucas</creatorcontrib><creatorcontrib>Helenius, Ari</creatorcontrib><creatorcontrib>Hardt, Wolf-Dietrich</creatorcontrib><creatorcontrib>Dehio, Christoph</creatorcontrib><creatorcontrib>von Mering, Christian</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Franceschini, Andrea</au><au>Meier, Roger</au><au>Casanova, Alain</au><au>Kreibich, Saskia</au><au>Daga, Neha</au><au>Andritschke, Daniel</au><au>Dilling, Sabrina</au><au>Rämö, Pauli</au><au>Emmenlauer, Mario</au><au>Kaufmann, Andreas</au><au>Conde-Álvarez, Raquel</au><au>Low, Shyan Huey</au><au>Pelkmans, Lucas</au><au>Helenius, Ari</au><au>Hardt, Wolf-Dietrich</au><au>Dehio, Christoph</au><au>von Mering, Christian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Specific inhibition of diverse pathogens in human cells by synthetic microRNA-like oligonucleotides inferred from RNAi screens</atitle><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle><addtitle>Proc Natl Acad Sci U S A</addtitle><date>2014-03-25</date><risdate>2014</risdate><volume>111</volume><issue>12</issue><spage>4548</spage><epage>4553</epage><pages>4548-4553</pages><issn>0027-8424</issn><eissn>1091-6490</eissn><abstract>Systematic genetic perturbation screening in human cells remains technically challenging. Typically, large libraries of chemically synthesized siRNA oligonucleotides are used, each designed to degrade a specific cellular mRNA via the RNA interference (RNAi) mechanism. Here, we report on data from three genome-wide siRNA screens, conducted to uncover host factors required for infection of human cells by two bacterial and one viral pathogen. We find that the majority of phenotypic effects of siRNAs are unrelated to the intended "on-target" mechanism, defined by full complementarity of the 21-nt siRNA sequence to a target mRNA. Instead, phenotypes are largely dictated by "off-target" effects resulting from partial complementarity of siRNAs to multiple mRNAs via the "seed" region (i.e., nucleotides 2—8), reminiscent of the way specificity is determined for endogenous microRNAs. Quantitative analysis enabled the prediction of seeds that strongly and specifically block infection, independent of the intended ontarget effect. This prediction was confirmed experimentally by designing oligos that do not have any on-target sequence match at all, yet can strongly reproduce the predicted phenotypes. Our results suggest that published RNAi screens have primarily, and unintentionally, screened the sequence space of microRNA seeds instead of the intended on-target space of protein-coding genes. This helps to explain why previously published RNAi screens have exhibited relatively little overlap. Our analysis suggests a possible way of identifying "seed reagents" for controlling phenotypes of interest and establishes a general strategy for extracting valuable untapped information from past and future RNAi screens.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>24616511</pmid><doi>10.1073/pnas.1402353111</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Base Sequence Biological Sciences Brucella abortus - drug effects Brucella abortus - genetics Bunyaviridae - drug effects Bunyaviridae - genetics Genes, Bacterial Genetic screening Genetic testing Genotype & phenotype HeLa Cells Humans Infections Libraries Medical screening Messenger RNA MicroRNA MicroRNAs - genetics Oligonucleotides - pharmacology Pathogens Phenotypes Reagents Ribonucleic acid RNA RNA Interference RNA, Small Interfering - genetics Salmonella typhimurium - drug effects Salmonella typhimurium - genetics Small interfering RNA Vendors |
title | Specific inhibition of diverse pathogens in human cells by synthetic microRNA-like oligonucleotides inferred from RNAi screens |
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