Evidence map›Paper›PMID 42391043›Full record

ArticleNucleic acids research2026

De novo direct sequencing of small therapeutic RNAs by layer-by-layer intensity-resolved mass spectrometry.

Shangsi Lin, Sophia Jiang, Lin Tang, Sateesh Kumar Kumbhakonam, Justin C Dingman, Jung Yeon Lee, Ruixin Yang, Tony Frudakis, Michele Kirchner, Sihang Xu and 6 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Shangsi LinDepartment of Chemistry and The RNA Institute, University at Albany, State University of New York, Albany, NY 12222, United States.ORCID 0009-0003-5592-1747
Sophia JiangDepartment of Chemistry and The RNA Institute, University at Albany, State University of New York, Albany, NY 12222, United States.
Lin TangDepartment of Biological and Chemical Sciences, New York Institute of Technology, New York, NY 10023, United States.
Sateesh Kumar KumbhakonamDepartment of Chemistry and The RNA Institute, University at Albany, State University of New York, Albany, NY 12222, United States.
Justin C DingmanDepartment of Chemistry and The RNA Institute, University at Albany, State University of New York, Albany, NY 12222, United States.
Jung Yeon LeeDepartment of Chemistry and The RNA Institute, University at Albany, State University of New York, Albany, NY 12222, United States.
Ruixin YangDirectSeq Biosciences, Inc., Albany, NY 12222, United States.
Tony FrudakisDirectSeq Biosciences, Inc., Albany, NY 12222, United States.
Michele KirchnerDepartment of Biological and Chemical Sciences, New York Institute of Technology, New York, NY 10023, United States.
Sihang XuDepartment of Biological and Chemical Sciences, New York Institute of Technology, New York, NY 10023, United States.
Chuanjuan TaoCenter for Genome Technology and Biomolecular Engineering, Department of Chemical Engineering, Columbia University, New York, NY 10027, United States.
Xuanting WangCenter for Genome Technology and Biomolecular Engineering, Department of Chemical Engineering, Columbia University, New York, NY 10027, United States.
James J RussoCenter for Genome Technology and Biomolecular Engineering, Department of Chemical Engineering, Columbia University, New York, NY 10027, United States.
Xudong ZhangMolecular Medicine Program, Department of Human Genetics, and Division of Urology, Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT 84132, United States.
Qi ChenMolecular Medicine Program, Department of Human Genetics, and Division of Urology, Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT 84132, United States.
Shenglong ZhangDepartment of Chemistry and The RNA Institute, University at Albany, State University of New York, Albany, NY 12222, United States.ORCID 0000-0001-8003-7484

Funding

Center for Multi-Scale Analysis of the Human EpitranscriptomeRM1HG011563 · NHGRI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SAMIE R JAFFREY, Kathryn D Meyer · 2021 to 2026
$22.2M
Technology Development Coordinating CenterU24HG011735 · NHGRI · JACKSON LABORATORY · PI Mark D ADAMS · 2021 to 2026
$8.1M
Sperm tsRNAs/rsRNAs and their RNA modifications in diet-induced epigenetic inheritanceR01HD092431 · NICHD · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Qi Chen, David S Milstone · 2017 to 2026
$3.5M
Development of Next-Generation Mass Spectrometry-based de novo RNA Sequencing for all ModificationsR01HG012853 · NHGRI · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI Shenglong Zhang · 2023 to 2026
$2.6M
Decoding the signature of sperm RNA & RNA modification of environmental stressors on the intergenerational transmission of metabolic phenotypesR01ES032024 · NIEHS · UNIVERSITY OF UTAH · PI CHEN, QI, ZHOU, TONG · 2020 to 2024
$2.1M
High-throughput Direct Sequencing and Quantitative Mapping of RNA Modifications using Mass Spectrometry.R41HG013624 · NHGRI · DIRECTSEQ BIOSCIENCES, INC. · PI ZHANG, SHENGLONG · 2024 to 2024
$407k
Exhaustive de novo sequencing of every RNA in a sample by a layer-by-layer mass spectrometry ladder intensity approach.R41HG014125 · NHGRI · DIRECTSEQ BIOSCIENCES, INC. · PI ZHANG, SHENGLONG · 2024 to 2024
$215k
NHGRI NIH HHS R01 HG012853NHGRI NIH HHS R41 HG013624NHGRI NIH HHS R41 HG014125NHGRI NIH HHS RM1 HG011563NHGRI NIH HHS U24 HG011735NICHD NIH HHS R01 HD092431NIEHS NIH HHS R01 ES032024
6 · The paper itself

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.

Indexed as

High-Throughput Nucleotide SequencingMass SpectrometryRNA, Small InterferingSequence Analysis, RNAAlgorithmsHumansMicroRNAsRNA, Guide, CRISPR-Cas SystemsMicroRNAsRNA, Guide, CRISPR-Cas SystemsRNA, Small Interfering

Identifiers

PMID42391043
PMCPMC13326635

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.