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INRI-seq enables global cell-free analysis of translation initiation and off-target effects of antisense inhibitors

ABSTRACT: INRI-seq enables global cell-free analysis of translation initiation and off-target effects of antisense inhibitors

PROVIDER: PRJNA789173 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR17260851.fastq.gz	Fastqsanger.gz
	SRR17260852.fastq.gz	Fastqsanger.gz
	SRR17260853.fastq.gz	Fastqsanger.gz
	SRR17260854.fastq.gz	Fastqsanger.gz
	SRR17260855.fastq.gz	Fastqsanger.gz

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INRI-seq enables global cell-free analysis of translation initiation and off-target effects of antisense inhibitors

Project description: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.

2022-05-23 | GSE190954 | GEO

INRI-seq enables global cell-free analysis of translation initiation and off-target effects of antisense inhibitors.

Project description: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 the 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.

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Ribosome queuing enables non-AUG translation to be resistant to multiple protein synthesis inhibitors

Project description:Aberrant translation initiation at non-AUG start codons is associated with multiple cancers and neurodegenerative diseases. Nevertheless, how non-AUG translation is regulated differently from canonical translation is poorly understood. We thus used start codon-selective reporters and ribosome profiling to characterize how translation from non-AUG start codons responds to protein synthesis inhibitors in human cells. These analyses surprisingly revealed that translation of non-AUG reporters and the endogenous GUG-encoded DAP5 (eIF4G2/p97) mRNA are resistant to cycloheximide (CHX), a translation inhibitor which slows but does not completely abrogate elongation. Our data suggest that slowly elongating ribosomes cause queuing of scanning pre-initiation complexes (PIC), preferentially enhancing otherwise poor recognition of non-AUG start codons. Consistent with this model, limiting PIC formation or scanning sensitizes non-AUG translation to CHX. Moreover, PIC queuing can cause translation from an AUG codon in a poor context to become less sensitive to CHX. We further find that non-AUG translation is resistant to other inhibitors that target ribosomes within the coding sequence, but not those targeting newly initiated ribosomes. In total, these data indicate that ribosome queuing enables mRNAs with poor initiation context, namely those from non-AUG start codons, to be resistant to pharmacological inhibitors.

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Ribosome queuing enables non-AUG translation to be resistant to multiple protein synthesis inhibitors

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Antisense transcription predicts a distinct chromatin environment at mammalian promoters

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