Evidence map›Paper›PMID 28241457›Full record

ReviewBiomolecules2017

Mapping Post-Transcriptional Modifications onto  Transfer Ribonucleic Acid Sequences by Liquid  Chromatography Tandem Mass Spectrometry.

Robert L Ross, Xiaoyu Cao, Patrick A Limbach

Abstract readReview
In one paragraph

Review in Biomolecules, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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

3 authors.

Robert L RossRieveschl Laboratories for Mass Spectrometry, Department of Chemistry, University of Cincinnati, P.O. Box 210172, Cincinnati, OH 45221-0172, USA. rossrb@ucmail.uc.edu.
Xiaoyu CaoRieveschl Laboratories for Mass Spectrometry, Department of Chemistry, University of Cincinnati, P.O. Box 210172, Cincinnati, OH 45221-0172, USA. caoxy@mail.uc.edu.
Patrick A LimbachRieveschl Laboratories for Mass Spectrometry, Department of Chemistry, University of Cincinnati, P.O. Box 210172, Cincinnati, OH 45221-0172, USA. Pat.Limbach@uc.edu.

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

Liquid chromatography, coupled with tandem mass spectrometry, has become one of the most popular methods for the analysis of post-transcriptionally modified transfer ribonucleic acids (tRNAs). Given that the information collected using this platform is entirely determined by the mass of the analyte, it has proven to be the gold standard for accurately assigning nucleobases to the sequence. For the past few decades many labs have worked to improve the analysis, contiguous to instrumentation manufacturers developing faster and more sensitive instruments. With biological discoveries relating to ribonucleic acid happening more frequently, mass spectrometry has been invaluable in helping to understand what is happening at the molecular level. Here we present a brief overview of the methods that have been developed and refined for the analysis of modified tRNAs by liquid chromatography tandem mass spectrometry.

Indexed as

Chromatography, LiquidRNARNA Processing, Post-TranscriptionalRNA, TransferTandem Mass SpectrometryRNARNA, TransferLC‐MS/MSmodified nucleosidesRNA sequencingtandem mass spectrometrytRNA

Identifiers

PMID28241457
PMCPMC5372733

What OpenQuestion holds

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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.