ArticleNucleic acids research2026
De novo direct sequencing of small therapeutic RNAs by layer-by-layer intensity-resolved mass spectrometry.
Article in Nucleic acids research, 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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16 authors.
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Abstract
The rapid growth of RNA-based therapeutics demands accurate sequencing of all RNA species, including minor and modified variants. Conventional LC-MS/MS typically confirms only a predefined target sequence rather than determining RNA sequences de novo from the analyzed sample, thereby overlooking coexisting impurities and modifications. Here, we present 3D NGMS-Seq, a three-dimensional next-generation mass spectrometry-based sequencing platform for de novo direct sequencing of mixed RNA samples with essentially 100% sequence accuracy. This method incorporates MS intensity into traditional 2D mass-retention time (tR) analysis and introduces a nested algorithm that aligns ladder fragment intensities with parent RNA abundances for computational separation. Controlled acid hydrolysis produces RNA ladder fragments, which are segregated into mass-intensity-tR layers. Within each layer, short reads are generated de novo by sequentially base-calling each nucleotide, canonical or modified, from mass differences between adjacent ladder fragments and subsequently assembled into full-length RNA sequences. Guided by hydrolysis kinetics and statistical modeling, 3D NGMS-Seq accurately sequences synthetic siRNA, miRNA, and CRISPR/Cas9 sgRNAs, reveals unexpected low-abundance RNA impurities, and resolves subtle methylation ambiguities (Um versus mU; Am versus mA), while providing a quantitative profile of each RNA's relative abundance and site-specific modifications. By enabling direct, unbiased sequencing of heterogeneous RNAs without prior sequence knowledge, 3D NGMS-Seq addresses key limitations of current RNA analysis and provides a powerful tool to aid small RNA drug development, quality control, and regulatory validation.
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