Evidence map›Paper›PMID 24934772›Full record

ArticleAnalytical chemistry2014

Interactive XCMS Online: simplifying advanced metabolomic data processing and subsequent statistical analyses.

Harsha Gowda, Julijana Ivanisevic, Caroline H Johnson, Michael E Kurczy, H Paul Benton, Duane Rinehart, Thomas Nguyen, Jayashree Ray, Jennifer Kuehl, Bernardo Arevalo and 6 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 177 papers.

0numbers the graph read from it
0cells of the map it votes in
177citing 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

177 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Additive and Partially Dominant Effects from Genomic Variation Contribute to Rice Heterosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  8. Discovery of novel repurposed anthelminthics againstCurrent research in parasitology & vector-borne diseases · 2026
    Article
  9. Review
  10. Article
  11. Encapsulation ofGels (Basel, Switzerland) · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

117 more citing papers are in PubMed but not listed here.

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

16 authors.

Harsha GowdaScripps Center for Metabolomics and Mass Spectrometry and ‡Department of Cell Biology, The Scripps Research Institute , 10550 North Torrey Pines Road, La Jolla, California 92037, United States.
Julijana Ivanisevic
Caroline H Johnson
Michael E Kurczy
H Paul Benton
Duane Rinehart
Thomas Nguyen
Jayashree Ray
Jennifer Kuehl
Bernardo Arevalo
Peter D Westenskow
Junhua Wang
Adam P Arkin
Adam M Deutschbauer
Gary J Patti
Gary Siuzdak

Funding

Therapeutics Core (Page 286)P30MH062261 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BUCH, SHILPA J., FOX, HOWARD S · 2000 to 2021
$37.7M
Adult Stem Cells for Therapy of Visual DisordersR24EY017540 · NEI · SCRIPPS RESEARCH INSTITUTE, THE · PI FRIEDLANDER, MARTIN · 2007 to 2011
$17.5M
Proteomic Strategies for AIDS and Drug Abuse - HIV and METH CNS SynergyP01DA026146 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI CIBOROWSKI, PAWEL S · 2008 to 2010
$2.9M
Normalizing Breast Cancer Metabolism to Prevent Progression and Recurrence (PQ21)R01CA170737 · NCI · SCRIPPS RESEARCH INSTITUTE, THE · PI FELDING, BRUNIE H. · 2012 to 2015
$2.1M
DEVELOPING THE UNTARGETED METABOLOMIC WORKFLOW FOR HIGH-THROUGHPUT ANALYSESR01ES022181 · NIEHS · WASHINGTON UNIVERSITY · PI PATTI, GARY J · 2012 to 2016
$1.8M
Griffin: Venous Thromboembolism and mass spectrometry-based untargeted metabolomiRC1HL101034 · NHLBI · SCRIPPS RESEARCH INSTITUTE, THE · PI DEGUCHI, HIROSHI, GRIFFIN, JOHN H · 2009 to 2010
$952k
NCI NIH HHS R01 CA170737NEI NIH HHS R24 EY017540NHLBI NIH HHS RC1 HL101034NIA NIH HHS L30 AG0038036NIA NIH HHS L30 AG038036NIDA NIH HHS P01 DA026146NIEHS NIH HHS R01 ES022181NIMH NIH HHS P30 MH062261Wellcome Trust
6 · The paper itself

Abstract

XCMS Online (xcmsonline.scripps.edu) is a cloud-based informatic platform designed to process and visualize mass-spectrometry-based, untargeted metabolomic data. Initially, the platform was developed for two-group comparisons to match the independent, "control" versus "disease" experimental design. Here, we introduce an enhanced XCMS Online interface that enables users to perform dependent (paired) two-group comparisons, meta-analysis, and multigroup comparisons, with comprehensive statistical output and interactive visualization tools. Newly incorporated statistical tests cover a wide array of univariate analyses. Multigroup comparison allows for the identification of differentially expressed metabolite features across multiple classes of data while higher order meta-analysis facilitates the identification of shared metabolic patterns across multiple two-group comparisons. Given the complexity of these data sets, we have developed an interactive platform where users can monitor the statistical output of univariate (cloud plots) and multivariate (PCA plots) data analysis in real time by adjusting the threshold and range of various parameters. On the interactive cloud plot, metabolite features can be filtered out by their significance level (p-value), fold change, mass-to-charge ratio, retention time, and intensity. The variation pattern of each feature can be visualized on both extracted-ion chromatograms and box plots. The interactive principal component analysis includes scores, loadings, and scree plots that can be adjusted depending on scaling criteria. The utility of XCMS functionalities is demonstrated through the metabolomic analysis of bacterial stress response and the comparison of lymphoblastic leukemia cell lines.

Indexed as

Data Interpretation, StatisticalMass SpectrometryUser-Computer InterfaceBloodDatabases, FactualDesulfovibrioFemaleHumansInternetLymphomaMaleMeta-Analysis as TopicMetabolomicsMultivariate AnalysisPrincipal Component AnalysisSoftware

Identifiers

PMID24934772
PMCPMC4215863

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.