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

Research output: Contribution to journal › Journal article › Research › peer-review

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RNA trafficking and subcellular localization—a review of mechanisms, experimental and predictive methodologies. / Wang, Jun; Horlacher, Marc; Cheng, Lixin; Winther, Ole.

In: Briefings in Bioinformatics, Vol. 24, No. 5, bbad249, 2023.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Wang, J, Horlacher, M, Cheng, L & Winther, O 2023, 'RNA trafficking and subcellular localization—a review of mechanisms, experimental and predictive methodologies', Briefings in Bioinformatics, vol. 24, no. 5, bbad249. https://doi.org/10.1093/bib/bbad249

APA

Wang, J., Horlacher, M., Cheng, L., & Winther, O. (2023). RNA trafficking and subcellular localization—a review of mechanisms, experimental and predictive methodologies. Briefings in Bioinformatics, 24(5), [bbad249]. https://doi.org/10.1093/bib/bbad249

Vancouver

Wang J, Horlacher M, Cheng L, Winther O. RNA trafficking and subcellular localization—a review of mechanisms, experimental and predictive methodologies. Briefings in Bioinformatics. 2023;24(5). bbad249. https://doi.org/10.1093/bib/bbad249

Author

Wang, Jun ; Horlacher, Marc ; Cheng, Lixin ; Winther, Ole. / RNA trafficking and subcellular localization—a review of mechanisms, experimental and predictive methodologies. In: Briefings in Bioinformatics. 2023 ; Vol. 24, No. 5.

Bibtex

@article{7532455797414870ba3c64e9fb8f3611,
title = "RNA trafficking and subcellular localization—a review of mechanisms, experimental and predictive methodologies",
abstract = "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.",
author = "Jun Wang and Marc Horlacher and Lixin Cheng and Ole Winther",
year = "2023",
doi = "10.1093/bib/bbad249",
language = "English",
volume = "24",
journal = "Briefings in Bioinformatics",
issn = "1467-5463",
publisher = "Oxford University Press",
number = "5",

}

RIS

TY - JOUR

T1 - RNA trafficking and subcellular localization—a review of mechanisms, experimental and predictive methodologies

AU - Wang, Jun

AU - Horlacher, Marc

AU - Cheng, Lixin

AU - Winther, Ole

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

U2 - 10.1093/bib/bbad249

DO - 10.1093/bib/bbad249

M3 - Journal article

C2 - 37466130

VL - 24

JO - Briefings in Bioinformatics

JF - Briefings in Bioinformatics

SN - 1467-5463

IS - 5

M1 - bbad249

ER -

ID: 362688573