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Detalle de: The RNA-binding protein RBP33 dampens non-productive transcription in trypanosomes

Title The RNA-binding protein RBP33 dampens non-productive transcription in trypanosomes
Abstract

In-depth analysis of the transcriptomes of several model organisms has revealed that genomes are pervasively transcribed, giving rise to an abundance of non-canonical and mainly antisense RNA polymerase II-derived transcripts that are produced from almost any genomic context. Pervasive RNAs are degraded by surveillance mechanisms, but the repertoire of proteins that control the fate of these non-productive transcripts is still incomplete. Trypanosomes are single-celled eukaryotes that show constitutive RNA polymerase II transcription and in which initiation and termination of transcription occur at a limited number of sites per chromosome. It is not known whether pervasive transcription exists in organisms with unregulated RNA polymerase II activity, and which factors could be involved in the process. We show here that depletion of RBP33 results in overexpression of ∼40% of all annotated genes in the genome, with a marked accumulation of sense and antisense transcripts derived from silenced regions. RBP33 loss does not result in a significant increase in chromatin accessibility. Finally, we have found that transcripts that increase in abundance upon RBP33 knockdown are significantly more stable in RBP33-depleted trypanosomes, and that the exosome complex is responsible for their degradation. Our results provide strong evidence that RBP33 dampens non-productive transcription in trypanosomes.

Apa Reference Gómez-Liñán, C., Gómez-Díaz, E., Ceballos-Pérez, G., Fernández-Moya, S. M., & Estévez, A. M. (2022). The RNA-binding protein RBP33 dampens non-productive transcription in trypanosomes. Nucleic Acids Research, 50(21), 12251–12265. 10.1093/nar/gkac1123
Doi 10.1093/nar/gkac1123
Publication Date 28 Nov 2022
Publication Type Article
Researcher Elena Gómez-Díaz
Ontology Model organisms, Chromatin accessibility
Research Groups Malaria epigenomics
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