Evidence map›Paper›PMID 31504795›Full record

ArticleNucleic acids research2019

A general LC-MS-based RNA sequencing method for direct analysis of multiple-base modifications in RNA mixtures.

Ning Zhang, Shundi Shi, Tony Z Jia, Ashley Ziegler, Barney Yoo, Xiaohong Yuan, Wenjia Li, Shenglong Zhang

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Compendium of RNA modifications for bacterial stress adaptation.Microbiology and molecular biology reviews : MMBR · 2026
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  11. Detection, molecular function and mechanisms of m5C in cancer.Clinical and translational medicine · 2025
    Review
  12. Article
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  15. Article
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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

8 authors.

Ning ZhangDepartment of Biological and Chemical Sciences, New York Institute of Technology, New York, NY 10023, USA.
Shundi ShiDepartment of Chemical Engineering, Columbia University, New York, NY 10027, USA.
Tony Z JiaEarth-Life Science Institute, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan.
Ashley ZieglerDepartment of Biological and Chemical Sciences, New York Institute of Technology, New York, NY 10023, USA.
Barney YooDepartment of Chemistry, Hunter College, City University of New York, New York, NY 10065, USA.
Xiaohong YuanDepartment of Biological and Chemical Sciences, New York Institute of Technology, New York, NY 10023, USA.
Wenjia LiDepartment of Computer Science, New York Institute of Technology, New York, NY 10023, USA.
Shenglong ZhangDepartment of Biological and Chemical Sciences, New York Institute of Technology, New York, NY 10023, USA.

Funding

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
Development of LC/MS-Based Direct RNA Sequencing with Concomitant Basecalling and Modification Analysis CapabilityR21HG009576 · NHGRI · NEW YORK INST OF TECHNOLOGY · PI LI, WENJIA, ZHANG, SHENGLONG · 2017 to 2019
$569k
NHGRI NIH HHS R01 HG012853NHGRI NIH HHS R21 HG009576
6 · The paper itself

Abstract

A complete understanding of the structural and functional potential of RNA requires understanding of chemical modifications and non-canonical bases; this in turn requires advances in current sequencing methods to be able to sequence not only canonical ribonucleotides, but at the same time directly sequence these non-standard moieties. Here, we present the first direct and modification type-independent RNA sequencing method via introduction of a 2-dimensional hydrophobic end-labeling strategy into traditional mass spectrometry-based sequencing (2D HELS MS Seq) to allow de novo sequencing of RNA mixtures and enhance sample usage efficiency. Our method can directly read out the complete sequence, while identifying, locating, and quantifying base modifications accurately in both single and mixed RNA samples containing multiple different modifications at single-base resolution. Our method can also quantify stoichiometry/percentage of modified RNA versus its canonical counterpart RNA, simulating a real biological sample where modifications exist but may not be 100% at a particular site in the RNA. This method is a critical step towards fully sequencing real complex cellular RNA samples of any type and containing any modification type and can also be used in the quality control of modified therapeutic RNAs.

Indexed as

RNA Processing, Post-TranscriptionalAnimalsHumansMass SpectrometryRNASensitivity and SpecificitySequence Analysis, RNARNA

Identifiers

PMID31504795
PMCPMC6847078

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.