A spectrum of nonsense-mediated mRNA decay efficiency along the degree of mutational constraint

Despite its importance for regulating gene expression, nonsense-mediated mRNA decay (NMD) remains poorly understood. Here, we extend the findings of a previous landmark study that proposed several factors associated with NMD efficiency using matched genome and transcriptome data from The Cancer Genome Atlas Program (TCGA) by incorporating additional data including Genotype-Tissue Expression (GTEx), gnomAD, and metrics for mutational constraints. Factors affecting NMD efficiency are analyzed using an allele-specific expression (ASE)-based measure to reduce noise caused by random variations. Additionally, by combining our data with the updated allele frequency database of gnomAD, we demonstrate the spectrum of NMD efficiency according to the degree of gene-level mutational constraints (degree of a gene-tolerating loss-of-function variants). The NMD prediction model, trained on TCGA data, shows that gene-level mutational constraint is an important predictor of NMD efficiency. Findings of this study suggest the potential role of NMD on shaping the landscape of mutational constraints.

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Publication Details

Journal
Communications Biology
Published
2024-11-07
DOI
https://doi.org/10.1038/s42003-024-07136-y
Citations
11
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
2.57

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article

A spectrum of nonsense-mediated mRNA decay efficiency along the degree of mutational constraint

Changhee Ha, Hyeok-Jae Jang, Beomki Lee, Hogun Park et al.
11 citations
Communications Biology
RNA Research and Splicing
2.57
article

A spectrum of nonsense-mediated mRNA decay efficiency along the degree of mutational constraint

Changhee Ha, Hyeok-Jae Jang, Beomki Lee, Hogun Park, Hyunju Kang, Jong‐Won Kim, Jong‐Ho Park, Young‐Gon Kim
article en
11 citations

Abstract

Despite its importance for regulating gene expression, nonsense-mediated mRNA decay (NMD) remains poorly understood. Here, we extend the findings of a previous landmark study that proposed several factors associated with NMD efficiency using matched genome and transcriptome data from The Cancer Genome Atlas Program (TCGA) by incorporating additional data including Genotype-Tissue Expression (GTEx), gnomAD, and metrics for mutational constraints. Factors affecting NMD efficiency are analyzed using an allele-specific expression (ASE)-based measure to reduce noise caused by random variations. Additionally, by combining our data with the updated allele frequency database of gnomAD, we demonstrate the spectrum of NMD efficiency according to the degree of gene-level mutational constraints (degree of a gene-tolerating loss-of-function variants). The NMD prediction model, trained on TCGA data, shows that gene-level mutational constraint is an important predictor of NMD efficiency. Findings of this study suggest the potential role of NMD on shaping the landscape of mutational constraints.

Communications BiologyVol. 7(1)
Korea Advanced Institute of Science and Technology (KR), Samsung (South Korea) (KR), Samsung Medical Center (KR), Sungkyunkwan University (KR)
National Research Foundation, Sungkyunkwan University, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion
Openalex Percentile: Top 10%
RNA Research and Splicing
2.57
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