Dupuy, D. | Search bioRxiv

bioRxiv2018

Inverse toeprinting: a new tool to decipher the translational arrest code

It has recently become clear that various antibiotics block the translation of bacterial proteins in a sequence-specific manner. In order to understand how this specificity contributes to antibiotic potency and select better antimicrobial leads, new high-throughput tools are needed. Here, we present inverse toeprinting, a new method to map the position of ribosomes arrested on messenger RNAs during in vitro translation. Unlike ribosome profiling, our method protects the entire coding region upstream of a stalled ribosome, making it possible to work with transcript libraries that randomly sample the sequence space. We used inverse toeprinting to characterize the pausing landscape of free and drug-bound bacterial ribosomes engaged in translation. We obtained a comprehensive list of arrest motifs that could be validated in vivo, along with a quantitative measure of their pause strength. Thus, our method provides a highly parallel and scalable means to characterize the sequence specificity of translation inhibitors.

molecular biology↗

bioRxiv2017

Quantitative RNAseq Meta Analysis Of Alternative Exon Usage In C. elegans

Almost twenty years after the completion of the C. elegans genome sequence, gene structure annotation is still an ongoing process with new evidence for gene variants still being regularly uncovered by additional in-depth transcriptome studies. While alternative splice forms can allow a single gene to encode several functional isoforms the question of how much spurious splicing is tolerated is still heavily debated.\n\nHere we gathered a compendium of 1,682 publicly available C. elegans RNA-seq datasets to increase the dynamic range of detection of RNA isoforms and obtained robust measurements of the relative abundance of each splicing event. While most of the splicing reads come from reproducibly detected splicing events, a large fraction of purported junctions are only supported by a very low number of reads. We devised an automated curation method that takes into account the expression level of each gene to discriminate robust splicing events from potential biological noise. We found that rarely used splice sites disproportionately come from highly expressed genes and are significantly less conserved in other nematode genomes than splice sites with a higher usage frequency.\n\nOur increased detection power confirmed trans-splicing for at least 84% of C. elegans protein coding genes. The genes for which trans-splicing was not observed are overwhelmingly low expression genes, suggesting that the mechanism is pervasive but not full captured by organism-wide RNA-Seq.\n\nWe generated annotated gene models including quantitative exon usage information for the entire C. elegans genome. This allows users to visualize at a glance the relative expression of each isoform for their gene of interest.

genomics↗