Predicting nuclear G-quadruplex RNA-binding proteins with roles in transcription and phase separatio...
Predicting nuclear G-quadruplex RNA-binding proteins with roles in transcription and phase separation
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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RNA-binding proteins are central for many biological processes and their characterization has demonstrated a broad range of functions as well as a wide spectrum of target structures. RNA G-quadruplexes are important regulatory elements occurring in both coding and non-coding transcripts, yet our knowledge of their structure-based interactions is at present limited. Here, using theoretical predictions and experimental approaches, we show that many chromatin-binding proteins bind to RNA G-quadruplexes, and we classify them based on their RNA G-quadruplex-binding potential. Combining experimental identification of nuclear RNA G-quadruplex-binding proteins with computational approaches, we build a prediction tool that assigns probability score for a nuclear protein to bind RNA G-quadruplexes. We show that predicted G-quadruplex RNA-binding proteins exhibit a high degree of protein disorder and hydrophilicity and suggest involvement in both transcription and phase-separation into membrane-less organelles. Finally, we present the G4-Folded/UNfolded Nuclear Interaction Explorer System (G4-FUNNIES) for estimating RNA G4-binding propensities at
http://service.tartaglialab.com/new_submission/G4FUNNIES
.
RNA G-quadruplexes are important regulatory elements, yet our knowledge of their structure-based interactions is at present limited. Here the authors combine experimental and computational methods to develop a predictive tool, G4-FUNNIES, to estimate proteins’ RNA G4-binding propensities....
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Predicting nuclear G-quadruplex RNA-binding proteins with roles in transcription and phase separation
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TN_cdi_doaj_primary_oai_doaj_org_article_973298ba32434667b5550f2144c20a84
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_973298ba32434667b5550f2144c20a84
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2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-024-46731-9