Evidence map›Paper›PMID 24760295›Full record

ArticleJournal of the American Society for Mass Spectrometry2014

Metabolic de-isotoping for improved LC-MS characterization of modified RNAs.

Collin Wetzel, Siwei Li, Patrick A Limbach

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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  5. 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

3 authors at 1 institution in 1 country.

Collin WetzelRieveschl Laboratories for Mass Spectrometry, Department of Chemistry, University of Cincinnati, Cincinnati, OH, 45221-0172, USA.
Siwei Li
Patrick A Limbach
University of Cincinnati · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mapping, sequencing, and quantifying individual noncoding ribonucleic acids (ncRNAs), including post-transcriptionally modified nucleosides, by mass spectrometry is a challenge that often requires rigorous sample preparation prior to analysis. Previously, we have described a simplified method for the comparative analysis of RNA digests (CARD) that is applicable to relatively complex mixtures of ncRNAs. In the CARD approach for transfer RNA (tRNA) analysis, two complete sets of digestion products from total tRNA are compared using the enzymatic incorporation of (16)O/(18)O isotopic labels. This approach allows one to rapidly screen total tRNAs from gene deletion mutants or comparatively sequence total tRNA from two related bacterial organisms. However, data analysis can be challenging because of convoluted mass spectra arising from the natural (13)C and (15) N isotopes present in the ribonuclease-digested tRNA samples. Here, we demonstrate that culturing in (12)C-enriched/(13)C-depleted media significantly reduces the isotope patterns that must be interpreted during the CARD experiment. Improvements in data quality yield a 35 % improvement in detection of tRNA digestion products that can be uniquely assigned to particular tRNAs. These mass spectral improvements lead to a significant reduction in data processing attributable to the ease of spectral identification of labeled digestion products and will enable improvements in the relative quantification of modified RNAs by the (16)O/(18)O differential labeling approach.

Indexed as

Carbon IsotopesChromatography, LiquidEscherichia coliMolecular WeightRibonucleasesRNA, BacterialRNA Processing, Post-TranscriptionalRNA, TransferRNA, UntranslatedSequence Analysis, RNATandem Mass SpectrometryCarbon IsotopesRibonucleasesRNA, BacterialRNA, TransferRNA, Untranslated

Identifiers

PMID24760295
OpenAlexW2002584578

What OpenQuestion holds

Textmetadata
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.