Despite gene expression programs being notoriously complex, RNA abundance is usually assumed as a proxy for transcriptional activity. Recently developed approaches, able to disentangle transcriptional and post-transcriptional regulatory processes, have revealed a more complex scenario. It is now possible to work out how synthesis, processing and degradation kinetic rates collectively determine the abundance of each gene's RNA. It has become clear that the same transcriptional output can correspond to different combinations of the kinetic rates. This underscores the fact that markedly different modes of gene expression regulation exist, each with profound effects on a gene's ability to modulate its own expression. This review describes the development of the experimental and computational approaches, including RNA metabolic labeling and mathematical modeling, that have been disclosing the mechanisms underlying complex transcriptional programs. Current limitations and future perspectives in the field are also discussed.

Furlan, M., De Pretis, S., Pelizzola, M. (2021). Dynamics of transcriptional and post-transcriptional regulation. BRIEFINGS IN BIOINFORMATICS, 22(4) [10.1093/bib/bbaa389].

Dynamics of transcriptional and post-transcriptional regulation

Pelizzola M
Ultimo
2021

Abstract

Despite gene expression programs being notoriously complex, RNA abundance is usually assumed as a proxy for transcriptional activity. Recently developed approaches, able to disentangle transcriptional and post-transcriptional regulatory processes, have revealed a more complex scenario. It is now possible to work out how synthesis, processing and degradation kinetic rates collectively determine the abundance of each gene's RNA. It has become clear that the same transcriptional output can correspond to different combinations of the kinetic rates. This underscores the fact that markedly different modes of gene expression regulation exist, each with profound effects on a gene's ability to modulate its own expression. This review describes the development of the experimental and computational approaches, including RNA metabolic labeling and mathematical modeling, that have been disclosing the mechanisms underlying complex transcriptional programs. Current limitations and future perspectives in the field are also discussed.
Articolo in rivista - Articolo scientifico
mathematical modeling; nascent RNA; RNA degradation; RNA metabolic labeling; RNA processing; RNA synthesis;
English
22-dic-2020
2021
22
4
bbaa389
open
Furlan, M., De Pretis, S., Pelizzola, M. (2021). Dynamics of transcriptional and post-transcriptional regulation. BRIEFINGS IN BIOINFORMATICS, 22(4) [10.1093/bib/bbaa389].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/446663
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