Abstract:Antisense peptide nucleic acids (PNAs) that target mRNAs of essential bacterial genes exhibit specific bactericidal effects in several microbial species, but our mechanistic understanding of PNA activity and their target gene spectrum is limited. Here, we present a systematic analysis of PNAs targeting eleven essential genes with varying expression levels in uropathogenic Escherichia coli (UPEC). We demonstrate that UPEC is susceptible to killing by peptide-conjugated PNAs, especially when targeting the widely… Show more
“…To exploit the cell-free, low-volume nature of INRI-seq, we globally analyzed the influence of an antisense PNA on translation. In line with in vivo data 27, 28 , we found that acpP -PNA is specific for its target, acpP . Downregulation of PNA off-targets that harbor mismatches in the complementary sequence requires substantially higher PNA concentrations.…”
Section: Discussionsupporting
confidence: 87%
“…Gratifyingly, a recent study investigating the effects of acpP -PNA on global transcript levels in a uropathogenic E. coli (UPEC) strain observed very similar off-target effects. Of the four off-targets identified by INRI-seq, gpmM and ugpQ were among the top regulated transcripts upon addition of acpP -PNA 27 . These findings should aid future PNA design by providing a framework to weigh the predicted specificity of PNAs according to their predicted off-targets.…”
Section: Discussionmentioning
confidence: 99%
“…Lastly, since Ribo-seq is performed on living cells, it can be difficult to dissect direct and indirect effects on translation. This is exemplified by antisense antibiotics 24, 25, 26 , whose import via carrier peptides broadly affects gene expression in addition to the desired antisense inhibition of the targeted gene of interest 27, 28 .…”
Ribosome profiling (Ribo-seq) is a powerful method for the transcriptome-wide assessment of protein synthesis rates and the study of translational control mechanisms. Yet, Ribo-seq also has limitations. These include difficulties with detection of low abundance transcripts and analysis of translation-modulating molecules such as antibiotics, which are often toxic or challenging to deliver into living cells. Here, we have developed in vitro Ribo-seq (INRI-seq), a cell-free method to analyze the translational landscape of a fully customizable synthetic transcriptome. Using Escherichia coli as an example, we show how INRI-seq can be used to analyze the translation initiation sites of a transcriptome of interest. We also study the global impact of direct translation inhibition by antisense peptide nucleic acid (PNA) to analyze PNA off-target effects. Overall, INRI-seq presents a scalable, sensitive method to study translation initiation in a transcriptome-wide manner without the potentially confounding effects of extracting ribosomes from living cells.
“…To exploit the cell-free, low-volume nature of INRI-seq, we globally analyzed the influence of an antisense PNA on translation. In line with in vivo data 27, 28 , we found that acpP -PNA is specific for its target, acpP . Downregulation of PNA off-targets that harbor mismatches in the complementary sequence requires substantially higher PNA concentrations.…”
Section: Discussionsupporting
confidence: 87%
“…Gratifyingly, a recent study investigating the effects of acpP -PNA on global transcript levels in a uropathogenic E. coli (UPEC) strain observed very similar off-target effects. Of the four off-targets identified by INRI-seq, gpmM and ugpQ were among the top regulated transcripts upon addition of acpP -PNA 27 . These findings should aid future PNA design by providing a framework to weigh the predicted specificity of PNAs according to their predicted off-targets.…”
Section: Discussionmentioning
confidence: 99%
“…Lastly, since Ribo-seq is performed on living cells, it can be difficult to dissect direct and indirect effects on translation. This is exemplified by antisense antibiotics 24, 25, 26 , whose import via carrier peptides broadly affects gene expression in addition to the desired antisense inhibition of the targeted gene of interest 27, 28 .…”
Ribosome profiling (Ribo-seq) is a powerful method for the transcriptome-wide assessment of protein synthesis rates and the study of translational control mechanisms. Yet, Ribo-seq also has limitations. These include difficulties with detection of low abundance transcripts and analysis of translation-modulating molecules such as antibiotics, which are often toxic or challenging to deliver into living cells. Here, we have developed in vitro Ribo-seq (INRI-seq), a cell-free method to analyze the translational landscape of a fully customizable synthetic transcriptome. Using Escherichia coli as an example, we show how INRI-seq can be used to analyze the translation initiation sites of a transcriptome of interest. We also study the global impact of direct translation inhibition by antisense peptide nucleic acid (PNA) to analyze PNA off-target effects. Overall, INRI-seq presents a scalable, sensitive method to study translation initiation in a transcriptome-wide manner without the potentially confounding effects of extracting ribosomes from living cells.
“…Recent reports using different E. coli strains showed that PNA-mRNA melting temperature (T m ) positively correlates with growth inhibition (Goltermann et al 2019) and is associated with in vitro translation inhibition of the target gene (Popella et al 2022). We therefore integrated T m predictions for PNA-RNA duplexes as a feature in MASON (see methods).…”
Section: Resultsmentioning
confidence: 99%
“…To test whether these results are specific to Salmonella , we applied the same bioinformatics analysis to a published transcriptomic data set in which UPEC were treated with 11 different PNAs targeting various essential genes (Popella et al 2022). The overall transcriptomic pattern closely resembles the data in the present study (Figure 3A, B).…”
Antisense oligomers (ASOs) such as peptide nucleic acids (PNAs), designed to inhibit the translation of essential bacterial genes, have emerged as attractive sequence- and species-specific programmable RNA antibiotics. Yet, potential drawbacks include unwanted side effects caused by their binding to transcripts other than the intended target. To facilitate the design of PNAs with minimal off-target effects, we developed MASON (Make AntiSense Oligomers Now), a webserver for the design of PNAs that target bacterial mRNAs. MASON generates PNA sequences complementary to the translational start site of a bacterial gene of interest and reports critical sequence attributes and potential off-target sites. We based MASON's off-target predictions on experiments in which we treated Salmonella enterica serovar Typhimurium with a series of 10mer PNAs derived from a PNA targeting the essential gene acpP but carrying two serial mismatches. Growth inhibition and RNA-sequencing (RNA-seq) data revealed that PNAs with terminal mismatches are still able to target acpP, suggesting wider off-target effects than anticipated. Comparison of these results to an RNA-seq dataset from uropathogenic Escherichia coli (UPEC) treated with eleven different PNAs confirmed our findings are not unique to Salmonella. We believe that MASON's off-target assessment will improve the design of specific PNAs and other ASOs.
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