ArticleAnalytical chemistry2018
Autonomous Multimodal Metabolomics Data Integration for Comprehensive Pathway Analysis and Systems Biology.
Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Network Topology Evaluation and Transitive Alignments for Molecular Networking.Journal of the American Society for Mass Spectrometry · 2024Article
- Hydroxyproline metabolism enhances IFN-γ-induced PD-L1 expression and inhibits autophagic flux.Cell chemical biology · 2023Article
- Effects of Heated Drinking Water during the Cold Season on Serum Biochemistry, Ruminal Fermentation, Bacterial Community, and Metabolome of Beef Cattle.Metabolites · 2023Article
- Integrative metabolomics science in Alzheimer's disease: Relevance and future perspectives.Ageing research reviews · 2023Review
- Exploring the Mechanisms behind the Anti-Tumoral Effects of Model C-Scorpionate Complexes.Molecules (Basel, Switzerland) · 2023Article
- JPA: Joint Metabolic Feature Extraction Increases the Depth of Chemical Coverage for LC-MS-Based Metabolomics and Exposomics.Metabolites · 2022Article
- Toxicity ofFrontiers in pharmacology · 2022Article
- Systematic Review of Recent Lipidomics Approaches Toward Inflammatory Bowel Disease.Biomolecules & therapeutics · 2021Review
- Metabolomics Profiles of Smokers from Two Ethnic Groups with Differing Lung Cancer Risk.Chemical research in toxicology · 2020Article
- Cloud-based archived metabolomics data: A resource for in-source fragmentation/annotation, meta-analysis and systems biology.Analytical science advances · 2020Article
- MOTA: Network-Based Multi-Omic Data Integration for Biomarker Discovery.Metabolites · 2020Article
- Footprint-based functional analysis of multiomic data.Current opinion in systems biology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Comprehensive metabolomic data can be achieved using multiple orthogonal separation and mass spectrometry (MS) analytical techniques. However, drawing biologically relevant conclusions from this data and combining it with additional layers of information collected by other omic technologies present a significant bioinformatic challenge. To address this, a data processing approach was designed to automate the comprehensive prediction of dysregulated metabolic pathways/networks from multiple data sources. The platform autonomously integrates multiple MS-based metabolomics data types without constraints due to different sample preparation/extraction, chromatographic separation, or MS detection method. This multimodal analysis streamlines the extraction of biological information from the metabolomics data as well as the contextualization within proteomics and transcriptomics data sets. As a proof of concept, this multimodal analysis approach was applied to a colorectal cancer (CRC) study, in which complementary liquid chromatography-mass spectrometry (LC-MS) data were combined with proteomic and transcriptomic data. Our approach provided a highly resolved overview of colon cancer metabolic dysregulation, with an average 17% increase of detected dysregulated metabolites per pathway and an increase in metabolic pathway prediction confidence. Moreover, 95% of the altered metabolic pathways matched with the dysregulated genes and proteins, providing additional validation at a systems level. The analysis platform is currently available via the XCMS Online ( XCMSOnline.scripps.edu ).
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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.