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Wang, J.* ; Horlacher, M. ; Cheng, L.* ; Winther, O.*

RNA trafficking and subcellular localization-a review of mechanisms, experimental and predictive methodologies.

Brief. Bioinform. 24:14 (2023)
Publ. Version/Full Text DOI PMC
Open Access Hybrid
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RNA localization is essential for regulating spatial translation, where RNAs are trafficked to their target locations via various biological mechanisms. In this review, we discuss RNA localization in the context of molecular mechanisms, experimental techniques and machine learning-based prediction tools. Three main types of molecular mechanisms that control the localization of RNA to distinct cellular compartments are reviewed, including directed transport, protection from mRNA degradation, as well as diffusion and local entrapment. Advances in experimental methods, both image and sequence based, provide substantial data resources, which allow for the design of powerful machine learning models to predict RNA localizations. We review the publicly available predictive tools to serve as a guide for users and inspire developers to build more effective prediction models. Finally, we provide an overview of multimodal learning, which may provide a new avenue for the prediction of RNA localization.
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Publication type Article: Journal article
Document type Review
Keywords Rna ; Localization ; Machine Learning ; Multimodality ; Subcellular; Bicoid Messenger-rna; Motor-neuron Smn; Binding Protein; Gene-expression; Spatial-organization; Local Translation; Global Analysis; Cell Polarity; Reveals; Transport
Language english
Publication Year 2023
HGF-reported in Year 2023
ISSN (print) / ISBN 1467-5463
e-ISSN 1477-4054
Journal Briefings in Bioinformatics
Quellenangaben Volume: 24, Issue: 5, Pages: , Article Number: 14 Supplement: ,
Publisher Oxford University Press
Publishing Place Great Clarendon St, Oxford Ox2 6dp, England
Reviewing status Peer reviewed
Institute(s) Institute of Computational Biology (ICB)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-503800-004
Grants Danish National Research Foundation
Novo Nordisk Foundation
China Scholarship Council (CSC)
DOI 10.1093/bib/bbad249
WOS ID 001031250600001
Scopus ID 85172158131
PubMed ID 37466130
Erfassungsdatum 2023-10-06
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