Evidence map›Paper›PMID 39131818›Full record

ArticleNAR genomics and bioinformatics2024

Clusters of mammalian conserved RNA structures in UTRs associate with RBP binding sites.

Veerendra P Gadekar, Alexander Welford Munk, Milad Miladi, Alexander Junge, Rolf Backofen, Stefan E Seemann, Jan Gorodkin

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Article in NAR genomics and bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Veerendra P GadekarCenter for non-coding RNA in Technology and Health, University of Copenhagen, Ridebanevej 9, 1870 Frederiksberg, Denmark.ORCID https://orcid.org/0000-0003-3388-8547
Alexander Welford MunkCenter for non-coding RNA in Technology and Health, University of Copenhagen, Ridebanevej 9, 1870 Frederiksberg, Denmark.
Milad MiladiBioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg im Breisgau, Germany.ORCID https://orcid.org/0000-0002-0173-3009
Alexander JungeCenter for non-coding RNA in Technology and Health, University of Copenhagen, Ridebanevej 9, 1870 Frederiksberg, Denmark.
Rolf BackofenBioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg im Breisgau, Germany.ORCID https://orcid.org/0000-0001-8231-3323
Stefan E SeemannCenter for non-coding RNA in Technology and Health, University of Copenhagen, Ridebanevej 9, 1870 Frederiksberg, Denmark.ORCID https://orcid.org/0000-0002-2359-4927
Jan GorodkinCenter for non-coding RNA in Technology and Health, University of Copenhagen, Ridebanevej 9, 1870 Frederiksberg, Denmark.ORCID https://orcid.org/0000-0001-5823-4000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA secondary structures play essential roles in the formation of the tertiary structure and function of a transcript. Recent genome-wide studies highlight significant potential for RNA structures in the mammalian genome. However, a major challenge is assigning functional roles to these structured RNAs. In this study, we conduct a guilt-by-association analysis of clusters of computationally predicted conserved RNA structure (CRSs) in human untranslated regions (UTRs) to associate them with gene functions. We filtered a broad pool of ∼500 000 human CRSs for UTR overlap, resulting in 4734 and 24 754 CRSs from the 5' and 3' UTR of protein-coding genes, respectively. We separately clustered these CRSs for both sets using RNAscClust, obtaining 793 and 2403 clusters, each containing an average of five CRSs per cluster. We identified overrepresented binding sites for 60 and 43 RNA-binding proteins co-localizing with the clustered CRSs. Furthermore, 104 and 441 clusters from the 5' and 3' UTRs, respectively, showed enrichment for various Gene Ontologies, including biological processes such as 'signal transduction', 'nervous system development', molecular functions like 'transferase activity' and the cellular components such as 'synapse' among others. Our study shows that significant functional insights can be gained by clustering RNA structures based on their structural characteristics.

Identifiers

PMID39131818
PMCPMC11310781

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.