Evidence map›Paper›PMID 26192401›Full record

ArticleAnalytical chemistry2015

High-resolution filtering for improved small molecule identification via GC/MS.

Nicholas W Kwiecien, Derek J Bailey, Matthew J P Rush, Jason S Cole, Arne Ulbrich, Alexander S Hebert, Michael S Westphall, Joshua J Coon

Abstract read
In one paragraph

Article in Analytical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. 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.

Nicholas W Kwiecien†Genome Center of Wisconsin, Madison, Wisconsin 53706, United States.
Derek J Bailey†Genome Center of Wisconsin, Madison, Wisconsin 53706, United States.
Matthew J P Rush†Genome Center of Wisconsin, Madison, Wisconsin 53706, United States.
Jason S Cole§Thermo Fisher Scientific, Austin, Texas 78728, United States.
Arne Ulbrich†Genome Center of Wisconsin, Madison, Wisconsin 53706, United States.
Alexander S Hebert†Genome Center of Wisconsin, Madison, Wisconsin 53706, United States.
Michael S Westphall†Genome Center of Wisconsin, Madison, Wisconsin 53706, United States.
Joshua J Coon†Genome Center of Wisconsin, Madison, Wisconsin 53706, United States.

Funding

A GC/FTMS for Ultra-High Accuracy Metabolite IdentificationR01GM107199 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2013 to 2015
$782k
NIGMS NIH HHS 1R01GM107199NIGMS NIH HHS R01 GM107199
6 · The paper itself

Abstract

Gas chromatography/mass spectrometry (GC/MS) has long been considered one of the premiere analytical tools for small molecule analysis. Recently, a number of GC/MS systems equipped with high-resolution mass analyzers have been introduced. These systems provide analysts with a new dimension of information, accurate mass measurement to the third or fourth decimal place; however, existing data processing tools do not capitalize on this information. Beyond that, GC/MS spectral reference libraries, which have been curated over the last several decades, contain almost exclusively unit resolution MS spectra making integration of accurate mass data dubious. Here we present an informatic approach, called high-resolution filtering (HRF), which bridges this gap. During HRF, high-resolution mass spectra are assigned putative identifications through traditional spectral matching at unit resolution. Once candidate identities have been assigned, all unique combinations of atoms from these candidate precursors are generated and matched to m/z peaks using narrow mass tolerances. The total amount of measured signal that is annotated is used as a metric of plausibility for the presumed identification. Here we demonstrate that the HRF approach is both feasible and highly specific toward correct identifications.

Indexed as

FiltrationGas Chromatography-Mass SpectrometryPharmaceutical PreparationsSmall Molecule LibrariesUrinalysisPharmaceutical PreparationsSmall Molecule Libraries

Identifiers

PMID26192401
PMCPMC5176256

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.