Hitting the mark: Localization of <scp>mRNA</scp> and biomolecular condensates in health and disease

Otis, Jessica P.; Mowry, Kimberly L.

doi:10.1002/wrna.1807

Cited by 3 publications

(1 citation statement)

References 206 publications

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“…The latter often occurs along cytoskeletal elements and relies on the action of molecular motors, such as kinesins, dynein, and myosin 12 . Individual mRNA molecules can serve as cargo of molecular motors, or they can co-assemble into RNA granules for the coordinated transport of multiple mRNAs 13,14 . Alternatively, hitchhiking of RNAs onto endosomes or lysosomes can support long-range RNA movements 15–17 .…”

Section: Introductionmentioning

confidence: 99%

A KIF1C-CNBP motor-adaptor complex for trafficking mRNAs to cell protrusions

Moissoglu,

Wang,

Gasparski

et al. 2024

Preprint

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SummarymRNA localization to subcellular compartments is a widely used mechanism that functionally contributes to numerous processes. mRNA targeting can be achieved upon recognition of RNA cargo by molecular motors. However, our molecular understanding of how this is accomplished is limited, especially in higher organisms. We focus on a pathway that targets mRNAs to peripheral protrusions of mammalian cells and is important for cell migration. Trafficking occurs through active transport on microtubules, mediated by the KIF1C kinesin. Here, we identify the RNA-binding protein CNBP, as a factor required for mRNA localization to protrusions. CNBP binds directly to GA-rich sequences in the 3’UTR of protrusion targeted mRNAs. CNBP also interacts with KIF1C and is required for KIF1C recruitment to mRNAs and for their trafficking on microtubules to the periphery. This work provides a molecular mechanism for KIF1C recruitment to mRNA cargo and reveals a motor-adaptor complex for mRNA transport to cell protrusions.

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Section: Introductionmentioning

confidence: 99%

A KIF1C-CNBP motor-adaptor complex for trafficking mRNAs to cell protrusions

Moissoglu,

Wang,

Gasparski

et al. 2024

Preprint

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Mechanistic insights into the basis of widespread RNA localization

Chekulaeva

2024

Nat Cell Biol

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DRpred: A Novel Deep Learning-Based Predictor for Multi-Label mRNA Subcellular Localization Prediction by Incorporating Bayesian Inferred Prior Label Relationships

Wang,

Yang,

Wang

2024

Biomolecules

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The subcellular localization of messenger RNA (mRNA) not only helps us to understand the localization regulation of gene expression but also helps to understand the relationship between RNA localization pattern and human disease mechanism, which has profound biological and medical significance. Several predictors have been proposed for predicting the subcellular localization of mRNA. However, there is still considerable room for improvement in their predictive performance, especially regarding multi-label prediction. This study proposes a novel multi-label predictor, DRpred, for mRNA subcellular localization prediction. This predictor first utilizes Bayesian networks to capture the dependencies among labels. Subsequently, it combines these dependencies with features extracted from mRNA sequences using Word2vec, forming the input for the predictor. Finally, it employs a neural network combining BiLSTM and an attention mechanism to capture the internal relationships of the input features for mRNA subcellular localization. The experimental validation on an independent test set demonstrated that DRpred obtained a competitive predictive performance in multi-label prediction and outperformed state-of-the-art predictors in predicting single subcellular localizations, obtaining accuracies of 82.14%, 93.02%, 80.37%, 94.00%, 90.58%, 84.53%, 82.01%, 79.71%, and 85.67% for the chromatin, cytoplasm, cytosol, exosome, membrane, nucleolus, nucleoplasm, nucleus, and ribosome, respectively. It is anticipated to offer profound insights for biological and medical research.

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Hitting the mark: Localization of mRNA and biomolecular condensates in health and disease

Cited by 3 publications

References 206 publications

A KIF1C-CNBP motor-adaptor complex for trafficking mRNAs to cell protrusions

A KIF1C-CNBP motor-adaptor complex for trafficking mRNAs to cell protrusions

Mechanistic insights into the basis of widespread RNA localization

DRpred: A Novel Deep Learning-Based Predictor for Multi-Label mRNA Subcellular Localization Prediction by Incorporating Bayesian Inferred Prior Label Relationships

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