The human genome is pervasively transcribed, producing RNA from ~ 80-90% of its DNA, yet only a small fraction of transcripts result in the generation of functional RNAs. Instead, the majority of transcription initiation events ar...
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Información proyecto PervasiveTranscript
Duración del proyecto: 40 meses
Fecha Inicio: 2023-04-26
Fecha Fin: 2026-08-31
Líder del proyecto
AARHUS UNIVERSITET
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Presupuesto del proyecto
215K€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
The human genome is pervasively transcribed, producing RNA from ~ 80-90% of its DNA, yet only a small fraction of transcripts result in the generation of functional RNAs. Instead, the majority of transcription initiation events are prematurely terminated and the resulting RNA is targeted by decay pathways. How cells ‘determine’ which RNAs to degrade vs. which to prepare for functional tasks, is a central question. Interestingly, new data from my host laboratory, that motivates this application, suggest that non-productive transcription events are correlated with low transcription initiation levels; i.e. lowly transcribed RNAs appear to be more susceptible to early termination and ensuing rapid degradation. Transcription termination in these instances is conducted by either Integrator (INT) complex or components interacting with ARS2 transcription termination factor. In the present project, I will investigate the mechanisms underlying this relationship, which could possibly rationalize how cells keep their spurious transcription under control. Considering the association of INT and ARS2 mutations with cancer and neurological diseases, my results might also pave the way for therapeutic interventions.
Previous approaches utilizing targeted transcription repression/activation by CRISPRi/a approach are based on absolute On/Off transcription from the selected loci without the ability to fine-tune the transcription at a predicted level. Here, I will utilise newly reported mismatch guide RNA/CRISPR-dCas9 to manipulate initiation to defined levels and hereby establish a tuneable system to assay the fate of RNAs expressed from weaker vs. stronger promoters. I will then exploit this system to address the molecular mechanism, dictating genome control based on transcription initiation levels.
The findings of my project will be of interest to many disciplines of the scientific community in that it might help explain how genome expression is sorted at a higher order level.