Evidence map›Paper›PMID 37948765›Full record

ArticleJournal of the American Society for Mass Spectrometry2023

Automated Identification of Modified Nucleosides during HRAM-LC-MS/MS using a Metabolomics ID Workflow with Neutral Loss Detection.

Robert L Ross, Ningxi Yu, Ruoxia Zhao, Andrew Wood, Patrick A Limbach

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

5 authors at 2 institutions in 1 country.

Robert L RossThermo Fisher Scientific, Lexington, Massachusetts 04241, United States.
Ningxi YuDepartment of Chemistry, University of Cincinnati, PO Box 210172, Cincinnati, Ohio 45221-0172, United States.
Ruoxia ZhaoDepartment of Chemistry, University of Cincinnati, PO Box 210172, Cincinnati, Ohio 45221-0172, United States.
Andrew WoodDepartment of Chemistry, University of Cincinnati, PO Box 210172, Cincinnati, Ohio 45221-0172, United States.
Patrick A LimbachDepartment of Chemistry, University of Cincinnati, PO Box 210172, Cincinnati, Ohio 45221-0172, United States.ORCID 0000-0003-1526-4546
University of Cincinnati · USThermo Fisher Scientific (United States) · US

Funding

UPLC for Enhanced Mass Spectrometry of Modified RNAsR01GM058843 · NIGMS · UNIVERSITY OF CINCINNATI · PI LIMBACH, PATRICK A · 1999 to 2025
$5.1M
Mass Spectrometry of Ribosomal RNA:Protein InteractionsR56GM058843 · NIGMS · UNIVERSITY OF CINCINNATI · PI LIMBACH, PATRICK A · 2009 to 2009
$330k
NIGMS NIH HHS R01 GM058843NIGMS NIH HHS R56 GM058843
6 · The paper itself

Abstract

The role of post-transcriptional modification in biological processes has been an ongoing field of study for several decades. Improvements in liquid chromatography platforms and mass spectrometry instrumentation have resulted in the enhanced identification, characterization, and quantification of modified nucleosides in biological systems. One consequence of the rapid technological improvements in the analytical acquisition of modified nucleosides has been a dearth of robust data processing workflows for analyzing more than a handful of samples at a time. To improve the utility of LC-MS/MS for batch analyses of modified nucleosides, a workflow for automated nucleoside identification has been developed. We adapted the Thermo Fisher Scientific metabolomics identification software package, Compound Discoverer, to accurately identify modified nucleosides from batch LC-MS/MS acquisitions. Three points of identification are used: accurate mass from a monoisotopic mass list, spectral matching from a spectral library, and neutral loss identification. This workflow was applied to a batch (

Indexed as

NucleosidesTandem Mass SpectrometryChromatography, LiquidMetabolomicsWorkflowNucleosides

Identifiers

PMID37948765
PMCPMC11587168
OpenAlexW4388558084

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.