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Updated: Mar 15, 2026

Determining Genome-wide Transcript Decay Rates in Proliferating and Quiescent Human Fibroblasts
Published on: January 2, 2018
The rules and impact of nonsense-mediated mRNA decay in human cancers
Rik G H Lindeboom1,2, Fran Supek1,2,3, Ben Lehner1,2,4
1EMBL-CRG Systems Biology Unit, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain.
Abstract:
Premature termination codons (PTCs) cause a large proportion of inherited human genetic diseases. PTC-containing transcripts can be degraded by an mRNA surveillance pathway termed nonsense-mediated mRNA decay (NMD). However, the efficiency of NMD varies; it is inefficient when a PTC is located downstream of the last exon junction complex (EJC). We used matched exome and transcriptome data from 9,769 human tumors to systematically elucidate the rules of NMD targeting in human cells. An integrated model incorporating multiple rules beyond the canonical EJC model explains approximately three-fourths of the non-random variance in NMD efficiency across thousands of PTCs. We also show that dosage compensation may sometimes mask the effects of NMD. Applying the NMD model identifies signatures of both positive and negative selection on NMD-triggering mutations in human tumors and provides a classification for tumor-suppressor genes.
Insights
Nonsense-mediated mRNA decay (NMD) degrades faulty transcripts caused by premature termination codons (PTCs). A new model explains NMD efficiency, revealing selection pressures on mutations in human tumors and classifying tumor suppressors.
Area of Science:
- Genetics
- Molecular Biology
- Cancer Research
Background:
- Premature termination codons (PTCs) are a significant cause of inherited genetic diseases.
- Nonsense-mediated mRNA decay (NMD) is a surveillance pathway that degrades PTC-containing transcripts, but its efficiency is variable.
- The position of PTCs relative to exon junction complexes (EJCs) influences NMD efficiency, with downstream PTCs being less efficiently degraded.
Purpose of the Study:
- To systematically determine the rules governing NMD targeting in human cells.
- To develop an integrated model that explains the variance in NMD efficiency across numerous PTCs.
- To investigate the impact of NMD on mutation selection in human tumors and classify tumor suppressor genes.
Main Methods:
- Analysis of matched exome and transcriptome data from 9,769 human tumors.
- Development and validation of a computational model integrating multiple rules of NMD targeting.
- Assessment of selection signatures on NMD-triggering mutations in tumor genomes.
Main Results:
- An integrated model, extending beyond the canonical EJC model, explains approximately 75% of the variance in NMD efficiency for thousands of PTCs.
- Dosage compensation mechanisms can sometimes obscure the phenotypic effects of NMD.
- The study identified signatures of positive and negative selection acting on mutations that trigger NMD in human tumors.
Conclusions:
- The developed NMD model provides a more comprehensive understanding of mRNA surveillance efficiency in human cells.
- NMD plays a critical role in shaping the mutational landscape of human tumors.
- The findings enable a novel classification of tumor suppressor genes based on NMD-targeting mutations.
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