SynthesisAnalytical chemistry2011
metaXCMS: second-order analysis of untargeted metabolomics data.
Synthesis in Analytical chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
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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.
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.
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Who cites it
31 citing papers in PubMed.
- Changes in urinary metabolomic profile show the effectiveness of a nutritional intervention in children 6-12 years old: The ALINFA study.Food science & nutrition · 2024Article
- Article
- Common data models to streamline metabolomics processing and annotation, and implementation in a Python pipeline.PLoS computational biology · 2024Article
- Common data models to streamline metabolomics processing and annotation, and implementation in a Python pipeline.bioRxiv : the preprint server for biology · 2024Article
- The BinDiscover database: a biology-focused meta-analysis tool for 156,000 GC-TOF MS metabolome samples.Journal of cheminformatics · 2023Article
- Alignment and Analysis of a Disparately Acquired Multibatch Metabolomics Study of Maternal Pregnancy Samples.Journal of proteome research · 2022Article
- Article
- Finding Correspondence between Metabolomic Features in Untargeted Liquid Chromatography-Mass Spectrometry Metabolomics Datasets.Analytical chemistry · 2022Article
- Article
- Dose-Response Metabolomics To Understand Biochemical Mechanisms and Off-Target Drug Effects with the TOXcms Software.Analytical chemistry · 2020Article
- Lymphatic Cannulation for Lymph Sampling and Molecular Delivery.Journal of immunology (Baltimore, Md. : 1950) · 2019Article
- Data processing, multi-omic pathway mapping, and metabolite activity analysis using XCMS Online.Nature protocols · 2018Article
- Training in metabolomics research. II. Processing and statistical analysis of metabolomics data, metabolite identification, pathway analysis, applications of metabolomics and its future.Journal of mass spectrometry : JMS · 2016Article
- A roadmap for the XCMS family of software solutions in metabolomics.Current opinion in chemical biology · 2016Review
- Use of Plasma Metabolomics to Identify Diagnostic Biomarkers for Early Stage Epithelial Ovarian Cancer.Journal of Cancer · 2016Article
- ATP-binding Cassette Subfamily C Member 5 (ABCC5) Functions as an Efflux Transporter of Glutamate Conjugates and Analogs.The Journal of biological chemistry · 2015Article
- Acylphloroglucinol Biosynthesis in Strawberry Fruit.Plant physiology · 2015Article
- New Technologies for Studying Biofilms.Microbiology spectrum · 2015Review
- Article
- Analytical methods in untargeted metabolomics: state of the art in 2015.Frontiers in bioengineering and biotechnology · 2015Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Mass spectrometry-based untargeted metabolomics often results in the observation of hundreds to thousands of features that are differentially regulated between sample classes. A major challenge in interpreting the data is distinguishing metabolites that are causally associated with the phenotype of interest from those that are unrelated but altered in downstream pathways as an effect. To facilitate this distinction, here we describe new software called metaXCMS for performing second-order ("meta") analysis of untargeted metabolomics data from multiple sample groups representing different models of the same phenotype. While the original version of XCMS was designed for the direct comparison of two sample groups, metaXCMS enables meta-analysis of an unlimited number of sample classes to facilitate prioritization of the data and increase the probability of identifying metabolites causally related to the phenotype of interest. metaXCMS is used to import XCMS results that are subsequently filtered, realigned, and ultimately compared to identify shared metabolites that are up- or down-regulated across all sample groups. We demonstrate the software's utility by identifying histamine as a metabolite that is commonly altered in three different models of pain. metaXCMS is freely available at http://metlin.scripps.edu/metaxcms/.
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Registered trials
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.