ReviewJournal of mass spectrometry : JMS2026
Advances in Mass Spectrometry Instrumentation and Methodology for Analysis of Alternative Protein Isoforms.
Review in Journal of mass spectrometry : JMS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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4 authors.
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Abstract
Proteoforms represent the many final protein products that can be generated by a protein-coding gene. A key source of proteomic variation is alternative splicing (AS), with at least 90% of human genes undergoing AS to cause protein sequence alterations that impact protein structure and function. Therefore, detection and characterization of the protein isoforms generated by splicing is critical to a complete understanding of the effects of splicing on human phenotype and disease. Advancements in the power and throughput of mass spectrometry (MS) instrumentation over the past decade, coupled with growing interest in splicing among the proteomics community, are driving a new wave of MS utilization for protein isoform analysis. In this review, we outline recent innovations in MS instruments and the new acquisition strategies they support, sample preparation protocols, and integrative bioinformatics pipelines that have enabled deeper sampling of the alternative proteome. We highlight research from the field utilizing bottom-up and top-down MS as well as discovery and targeted acquisition methods, outlining the isoform coverage and advantages offered by each approach. Based on the evolution of the field, splicing continues to garner greater attention within the context of proteoform diversity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.