An integrated landscape of mRNA and protein isoforms

Alternative splicing and proteolytic processing expand proteome diversity by generating distinct protein isoforms from a single gene. However, the relationship between transcript isoforms and protein products remains poorly understood because of limitations in current proteomic workflows. Here, we combined full-length mRNA sequencing with protein fractionation and quantitative mass spectrometry to generate an integrated landscape of mRNA and protein isoforms in human RPE-1 cells. To overcome the ambiguity of bottom-up proteomics, we developed IsoFrac, a computational pipeline that resolves protein isoforms from molecular-weight-resolved peptide migration profiles. Using this approach, we identified ∼45,000 full-length transcripts, ∼32,000 open reading frames (ORFs), and ∼14,000 protein isoform candidates. Comparative analyses revealed widespread translation of alternative transcripts and identified shorter protein variants, likely arising from proteolytic processing and/or alternative translation, as a major and underappreciated source of proteome complexity. Our results establish a scalable framework for isoform-resolved proteogenomics and provide a resource for studying protein isoform diversity.

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Publication Details

Journal
Cell Reports
Published
2026-09-01
DOI
https://doi.org/10.1016/j.celrep.2026.117898
Citations
2
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
2.94

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article

An integrated landscape of mRNA and protein isoforms

Matthias Selbach, Amir Kedan, Henrik Zauber, Mengran Wang et al.
2 citations
Cell Reports
RNA Research and Splicing
2.94
article

An integrated landscape of mRNA and protein isoforms

Matthias Selbach, Amir Kedan, Henrik Zauber, Mengran Wang, Qionghua Zhu, Kathryn S. Lilley, Suyeon Kim, Liang Fang, Wei Chen
article en
2 citations

Abstract

Alternative splicing and proteolytic processing expand proteome diversity by generating distinct protein isoforms from a single gene. However, the relationship between transcript isoforms and protein products remains poorly understood because of limitations in current proteomic workflows. Here, we combined full-length mRNA sequencing with protein fractionation and quantitative mass spectrometry to generate an integrated landscape of mRNA and protein isoforms in human RPE-1 cells. To overcome the ambiguity of bottom-up proteomics, we developed IsoFrac, a computational pipeline that resolves protein isoforms from molecular-weight-resolved peptide migration profiles. Using this approach, we identified ∼45,000 full-length transcripts, ∼32,000 open reading frames (ORFs), and ∼14,000 protein isoform candidates. Comparative analyses revealed widespread translation of alternative transcripts and identified shorter protein variants, likely arising from proteolytic processing and/or alternative translation, as a major and underappreciated source of proteome complexity. Our results establish a scalable framework for isoform-resolved proteogenomics and provide a resource for studying protein isoform diversity.

Cell ReportsVol. 45(9)
Shenzhen University (CN), Max Delbrück Center (DE), University of Cambridge (GB), Southern University of Science and Technology (CN), Shenzhen Technology University (CN), Charité - Universitätsmedizin Berlin (DE)
Deutsche Forschungsgemeinschaft, National Natural Science Foundation of China, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 17%
RNA Research and Splicing
2.94
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