6 research outputs found

    Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network

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    Using the Cap Analysis of Gene Expression (CAGE) technology, the FANTOM5 consortium provided one of the most comprehensive maps of transcription start sites (TSSs) in several species. Strikingly, ~72% of them could not be assigned to a specific gene and initiate at unconventional regions, outside promoters or enhancers. Here, we probe these unassigned TSSs and show that, in all species studied, a significant fraction of CAGE peaks initiate at microsatellites, also called short tandem repeats (STRs). To confirm this transcription, we develop Cap Trap RNA-seq, a technology which combines cap trapping and long read MinION sequencing. We train sequence-based deep learning models able to predict CAGE signal at STRs with high accuracy. These models unveil the importance of STR surrounding sequences not only to distinguish STR classes, but also to predict the level of transcription initiation. Importantly, genetic variants linked to human diseases are preferentially found at STRs with high transcription initiation level, supporting the biological and clinical relevance of transcription initiation at STRs. Together, our results extend the repertoire of non-coding transcription associated with DNA tandem repeats and complexify STR polymorphism

    Catabolite Degradation of Fructose-1,6-bisphosphatase in the Yeast Saccharomyces cerevisiae: A Genome-wide Screen Identifies Eight Novel GID Genes and Indicates the Existence of Two Degradation Pathways

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    Metabolic adaptation of Saccharomyces cerevisiae cells from a nonfermentable carbon source to glucose induces selective, rapid breakdown of the gluconeogenetic key enzyme fructose-1,6-bisphosphatase (FBPase), a process called catabolite degradation. Herein, we identify eight novel GID genes required for proteasome-dependent catabolite degradation of FBPase. Four yeast proteins contain the CTLH domain of unknown function. All of them are Gid proteins. The site of catabolite degradation has been controversial until now. Two FBPase degradation pathways have been described, one dependent on the cytosolic ubiquitin-proteasome machinery, and the other dependent on vacuolar proteolysis. Interestingly, three of the novel Gid proteins involved in ubiquitin-proteasome–dependent degradation have also been reported by others to affect the vacuolar degradation pathway. As shown herein, additional genes suggested to be essential for vacuolar degradation are unnecessary for proteasome-dependent degradation. These data raise the question as to whether two FBPase degradation pathways exist that share components. Detailed characterization of Gid2p demonstrates that it is part of a soluble, cytosolic protein complex of at least 600 kDa. Gid2p is necessary for FBPase ubiquitination. Our studies have not revealed any involvement of vesicular intermediates in proteasome-dependent FBPase degradation. The influence of Ubp14p, a deubiquitinating enzyme, on proteasome-dependent catabolite degradation was further uncovered

    Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network

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    10.1038/s41467-021-23143-7Nature Communications121329
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