Evidence map›Paper›PMID 25857541›Full record

ArticleJournal of chromatography. A2015

Improving the quality of biomarker candidates in untargeted metabolomics via peak table-based alignment of comprehensive two-dimensional gas chromatography-mass spectrometry data.

Heather D Bean, Jane E Hill, Jean-Marie D Dimandja

Open access · greenAbstract read
In one paragraph

Article in Journal of chromatography. A, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 60 citations in OpenAlex.

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  9. On sample preparation methods for fermented beverage VOCs profiling by GCxGC-TOFMS.Metabolomics : Official journal of the Metabolomic Society · 2020
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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

3 authors at 2 institutions in 1 country.

Heather D BeanDartmouth College, Thayer School of Engineering, Hanover, NH, USA.
Jane E HillDartmouth College, Thayer School of Engineering, Hanover, NH, USA.
Jean-Marie D DimandjaSpelman College, Department of Chemistry and Biochemistry, Atlanta, GA, USA. Electronic address: jdimandja@spelman.edu.
Dartmouth College · USSpelman College · US

Funding

Translational Research Center to Expedite Novel Therapies in Cystic FibrosisP30DK089507 · NIDDK · SEATTLE CHILDREN'S HOSPITAL · PI Christopher Hooper Goss, Lucas R Hoffman · 2010 to 2026
$21.4M
VERMONT IMMUNOBIOLOIGY/ INFECTIOUS DISEASES CENTERP20RR021905 · NCRR · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI MATRAJT, MARIANA L · 2006 to 2011
$14.5M
Vermont Immunobioloigy/ Infectious Diseases CenterP20GM103496 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BUDD, RALPH C · 2012 to 2015
$8.7M
NCRR NIH HHS 5 P20 RR021905-07NCRR NIH HHS P20 RR021905NIDDK NIH HHS 5 P30 DK089507NIDDK NIH HHS P30 DK089507NIGMS NIH HHS 8 P20 GM103496-07NIGMS NIH HHS P20 GM103496
6 · The paper itself

Abstract

The potential of high-resolution analytical technologies like GC×GC/TOF MS in untargeted metabolomics and biomarker discovery has been limited by the development of fully automated software that can efficiently align and extract information from multiple chromatographic data sets. In this work we report the first investigation on a peak-by-peak basis of the chromatographic factors that impact GC×GC data alignment. A representative set of 16 compounds of different chromatographic characteristics were followed through the alignment of 63 GC×GC chromatograms. We found that varying the mass spectral match parameter had a significant influence on the alignment for poorly-resolved peaks, especially those at the extremes of the detector linear range, and no influence on well-chromatographed peaks. Therefore, optimized chromatography is required for proper GC×GC data alignment. Based on these observations, a workflow is presented for the conservative selection of biomarker candidates from untargeted metabolomics analyses.

Indexed as

MetabolomicsBiomarkersGas Chromatography-Mass SpectrometryMolecular WeightPseudomonas aeruginosaSoftwareVolatilizationBiomarkersBiomarkerComprehensive two-dimensional gas chromatographyData alignmentGC×GC–MSUntargeted metabolomics

Identifiers

PMID25857541
PMCPMC4448113
OpenAlexW1966699396

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.