Ntini, E.* ; Budach, S.* ; Vang Ørom, U.A.* ; Marsico, A.
Genome-wide measurement of RNA dissociation from chromatin classifies transcripts by their dynamics and reveals rapid dissociation of enhancer lncRNAs.
Cell Syst. 14, 906-922.e6 (2023)
Long non-coding RNAs (lncRNAs) are involved in gene expression regulation in cis. Although enriched in the cell chromatin fraction, to what degree this defines their regulatory potential remains unclear. Furthermore, the factors underlying lncRNA chromatin tethering, as well as the molecular basis of efficient lncRNA chromatin dissociation and its impact on enhancer activity and target gene expression, remain to be resolved. Here, we developed chrTT-seq, which combines the pulse-chase metabolic labeling of nascent RNA with chromatin fractionation and transient transcriptome sequencing to follow nascent RNA transcripts from their transcription on chromatin to release and allows the quantification of dissociation dynamics. By incorporating genomic, transcriptomic, and epigenetic metrics, as well as RNA-binding protein propensities, in machine learning models, we identify features that define transcript groups of different chromatin dissociation dynamics. Notably, lncRNAs transcribed from enhancers display reduced chromatin retention, suggesting that, in addition to splicing, their chromatin dissociation may shape enhancer activity.
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Publication type
Article: Journal article
Document type
Scientific Article
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Keywords
Rna Processing ; Rna-binding Protein Interactions ; Chromatin Dissociation Dynamics ; Co-transcriptional Splicing ; Enhancer ; Enhancer-associated Lncrnas ; Lncrnas ; Machine Learning ; Nascent Rna Transcription ; Predictive Models; Long Noncoding Rnas; Messenger-rna; Polymerase-ii; Splicing Kinetics; Gene-expression; Termination; Polyadenylation; Localization; Binding; Principles
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Language
english
Publication Year
2023
Prepublished in Year
0
HGF-reported in Year
2023
ISSN (print) / ISBN
2405-4712
e-ISSN
2405-4720
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Volume: 14,
Issue: 10,
Pages: 906-922.e6
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Elsevier
Publishing Place
Maryland Heights, MO
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POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-503800-001
Grants
Fondation Sante Research Grant
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Erfassungsdatum
2023-11-28