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Beyond the gene: decoding alternative isoforms
Kaia Mattioli1, Martha L Bulyk2
1Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Trends in Genetics : TIG
|December 11, 2025
Summary
Most human genes produce multiple mRNA transcripts, leading to diverse protein isoforms. Recent advances show these alternative protein isoforms are common, distinct, and linked to disease, necessitating an isoform-aware approach to molecular biology.
Area of Science:
- Molecular Biology
- Genomics
- Proteomics
Background:
- Most human genes express multiple messenger RNA (mRNA) transcripts through mechanisms like alternative splicing.
- These transcripts can translate into various protein isoforms, but their collective impact on the human proteome has been debated.
- Functional significance of alternative protein isoforms is known, but their widespread role remains unclear.
Purpose of the Study:
- To investigate the extent to which alternative mRNA transcripts diversify the human proteome at the protein level.
- To assess the biochemical distinctness and disease association of these alternative protein isoforms.
- To advocate for a shift towards isoform-aware characterization in molecular studies.
Main Methods:
- Utilized long-read RNA sequencing for comprehensive transcript analysis.
- Employed sensitive proteomics techniques to detect and quantify protein isoforms.
- Applied high-throughput methods to perturb and study individual isoform functions.
Main Results:
- Evidence suggests most alternative mRNA transcripts are translated into distinct protein isoforms at the protein level.
- These protein isoforms exhibit biochemical differences.
- A significant association between alternative protein isoforms and various diseases was observed.
Conclusions:
- Alternative protein isoforms play a substantial role in diversifying the human proteome.
- Technological advancements confirm the prevalence and functional relevance of protein isoforms.
- Future molecular characterization should adopt an 'isoform-aware' perspective, moving beyond single-gene analysis.
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