Malou Hanisch, Laurin Flemmich, Christoph Mitteregger, Ingo Bauer, Cristian A Velandia-Huerto, Ivo Hofacker, Ronald Micura, Alexandra Lusser
{"title":"单核增生李斯特菌中前体q1结合rna的实验鉴定。","authors":"Malou Hanisch, Laurin Flemmich, Christoph Mitteregger, Ingo Bauer, Cristian A Velandia-Huerto, Ivo Hofacker, Ronald Micura, Alexandra Lusser","doi":"10.1039/d5cb00102a","DOIUrl":null,"url":null,"abstract":"<p><p>Riboswitches are widespread regulatory RNA modules in bacteria, with many different classes already identified and even more yet to be discovered. Traditionally, the identification of riboswitches has relied on bioinformatic analyses and genetic screens. In this work, we explored the possibility of identifying and characterizing predicted and novel riboswitches using an affinity purification-based approach with a functionalized preQ<sub>1</sub> ligand. We successfully enriched a predicted preQ<sub>1</sub> riboswitch from <i>L. monocytogenes</i> total RNA. Biophysical characterization revealed that this riboswitch can simultaneously bind two ligand molecules and functions as a regulator of translation <i>in vivo</i>. Furthermore, a transcriptome-wide pull-down experiment resulted in strong preQ<sub>1</sub>-dependent enrichment of several candidate sequences. Characterization of the <i>lmo2684</i> candidate mRNA revealed a preQ<sub>1</sub> riboswitch-like sequence in its 5' untranslated region. Notably, preQ<sub>1</sub> allowed translation of an upstream open reading frame in this region by promoting stop codon readthrough. Our findings highlight the utility of ligand-based pull-down strategies for enriching mRNAs with aptamers that elude computational detection and may possess undiscovered functions.</p>","PeriodicalId":40691,"journal":{"name":"RSC Chemical Biology","volume":" ","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12519234/pdf/","citationCount":"0","resultStr":"{\"title\":\"Experimental identification of preQ<sub>1</sub>-binding RNAs in the pathogenic bacterium <i>Listeria monocytogenes</i>.\",\"authors\":\"Malou Hanisch, Laurin Flemmich, Christoph Mitteregger, Ingo Bauer, Cristian A Velandia-Huerto, Ivo Hofacker, Ronald Micura, Alexandra Lusser\",\"doi\":\"10.1039/d5cb00102a\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Riboswitches are widespread regulatory RNA modules in bacteria, with many different classes already identified and even more yet to be discovered. Traditionally, the identification of riboswitches has relied on bioinformatic analyses and genetic screens. In this work, we explored the possibility of identifying and characterizing predicted and novel riboswitches using an affinity purification-based approach with a functionalized preQ<sub>1</sub> ligand. We successfully enriched a predicted preQ<sub>1</sub> riboswitch from <i>L. monocytogenes</i> total RNA. Biophysical characterization revealed that this riboswitch can simultaneously bind two ligand molecules and functions as a regulator of translation <i>in vivo</i>. Furthermore, a transcriptome-wide pull-down experiment resulted in strong preQ<sub>1</sub>-dependent enrichment of several candidate sequences. Characterization of the <i>lmo2684</i> candidate mRNA revealed a preQ<sub>1</sub> riboswitch-like sequence in its 5' untranslated region. Notably, preQ<sub>1</sub> allowed translation of an upstream open reading frame in this region by promoting stop codon readthrough. Our findings highlight the utility of ligand-based pull-down strategies for enriching mRNAs with aptamers that elude computational detection and may possess undiscovered functions.</p>\",\"PeriodicalId\":40691,\"journal\":{\"name\":\"RSC Chemical Biology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12519234/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"RSC Chemical Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1039/d5cb00102a\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"RSC Chemical Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1039/d5cb00102a","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Experimental identification of preQ1-binding RNAs in the pathogenic bacterium Listeria monocytogenes.
Riboswitches are widespread regulatory RNA modules in bacteria, with many different classes already identified and even more yet to be discovered. Traditionally, the identification of riboswitches has relied on bioinformatic analyses and genetic screens. In this work, we explored the possibility of identifying and characterizing predicted and novel riboswitches using an affinity purification-based approach with a functionalized preQ1 ligand. We successfully enriched a predicted preQ1 riboswitch from L. monocytogenes total RNA. Biophysical characterization revealed that this riboswitch can simultaneously bind two ligand molecules and functions as a regulator of translation in vivo. Furthermore, a transcriptome-wide pull-down experiment resulted in strong preQ1-dependent enrichment of several candidate sequences. Characterization of the lmo2684 candidate mRNA revealed a preQ1 riboswitch-like sequence in its 5' untranslated region. Notably, preQ1 allowed translation of an upstream open reading frame in this region by promoting stop codon readthrough. Our findings highlight the utility of ligand-based pull-down strategies for enriching mRNAs with aptamers that elude computational detection and may possess undiscovered functions.