ArticleAnalytical chemistry2013
A view from above: cloud plots to visualize global metabolomic data.
Article in Analytical chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.
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Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.
- Prediction of sepsis mortality using metabolite biomarkers in the blood: a meta-analysis of death-related pathways and prospective validation.BMC medicine · 2020Pooled it
- Exploratory Application of Neuropharmacometabolomics in Severe Childhood Traumatic Brain Injury.Critical care medicine · 2018Trial
- Pharmacometabolomics of l-carnitine treatment response phenotypes in patients with septic shock.Annals of the American Thoracic Society · 2015Trial
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- An initial investigation of accuracy required for the identification of small molecules in complex samples using quantum chemical calculated NMR chemical shifts.Journal of cheminformatics · 2022Article
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- Effects of Acute 2,3,7,8-Tetrachlorodibenzo-p-Dioxin Exposure on the Circulating and Cecal Metabolome Profile.International journal of molecular sciences · 2021Article
- Benchmark Concentrations for Untargeted Metabolomics Versus Transcriptomics for Liver Injury Compounds in In Vitro Liver Models.Toxicological sciences : an official journal of the Society of Toxicology · 2021Article
- Bacterial-fungal interactions revealed by genome-wide analysis of bacterial mutant fitness.Nature microbiology · 2021Article
- The Impacts of Sortase A and the 4'-Phosphopantetheinyl Transferase Homolog Sfp onFrontiers in microbiology · 2020Article
- Screening of Microbial Volatile Organic Compounds for Detection of Disease in Cattle: Development of Lab-scale Method.Scientific reports · 2019Article
- ROIMCR: a powerful analysis strategy for LC-MS metabolomic datasets.BMC bioinformatics · 2019Article
- Detection of Volatile Organic Compounds (VOCs) in Urine via Gas Chromatography-Mass Spectrometry QTOF to Differentiate Between Localized and Metastatic Models of Breast Cancer.Scientific reports · 2019Article
- Opposing reactions in coenzyme A metabolism sensitizeScience (New York, N.Y.) · 2019Article
- A Novel Role for Triglyceride Metabolism in Foxp3 Expression.Frontiers in immunology · 2019Article
- An automated framework for NMR chemical shift calculations of small organic molecules.Journal of cheminformatics · 2018Article
- Serum metabolomic profiling predicts synovial gene expression in rheumatoid arthritis.Arthritis research & therapy · 2018Article
- Metabolome changes are induced in the arbuscular mycorrhizal fungus Gigaspora margarita by germination and by its bacterial endosymbiont.Mycorrhiza · 2018Article
- Spontaneous DNA damage to the nuclear genome promotes senescence, redox imbalance and aging.Redox biology · 2018Article
- The proteomic and metabolomic characterization of exercise-induced sweat for human performance monitoring: A pilot investigation.PloS one · 2018Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
Global metabolomics describes the comprehensive analysis of small molecules in a biological system without bias. With mass spectrometry-based methods, global metabolomic data sets typically comprise thousands of peaks, each of which is associated with a mass-to-charge ratio, retention time, fold change, p-value, and relative intensity. Although several visualization schemes have been used for metabolomic data, most commonly used representations exclude important data dimensions and therefore limit interpretation of global data sets. Given that metabolite identification through tandem mass spectrometry data acquisition is a time-limiting step of the untargeted metabolomic workflow, simultaneous visualization of these parameters from large sets of data could facilitate compound identification and data interpretation. Here, we present such a visualization scheme of global metabolomic data using a so-called "cloud plot" to represent multidimensional data from septic mice. While much attention has been dedicated to lipid compounds as potential biomarkers for sepsis, the cloud plot shows that alterations in hydrophilic metabolites may provide an early signature of the disease prior to the onset of clinical symptoms. The cloud plot is an effective representation of global mass spectrometry-based metabolomic data, and we describe how to extract it as standard output from our XCMS metabolomic software.
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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.