ArticleMetabolites2021
Facilitating Imaging Mass Spectrometry of Microbial Specialized Metabolites with METASPACE.
Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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Who cites it
10 citing papers in PubMed.
- Spatial metabolomics and multiomics integration for breakthroughs in precision medicine for kidney disease.Nature reviews. Nephrology · 2026Review
- Imaging and spatially resolved mass spectrometry applications in nephrology.Nature reviews. Nephrology · 2025Review
- Spatially Resolved Multiomics: Data Analysis from Monoomics to Multiomics.BME frontiers · 2025Review
- Application of Spatial Omics in the Cardiovascular System.Research (Washington, D.C.) · 2025Review
- Metabolic insights from mass spectrometry imaging of biofilms: A perspective from model microorganisms.Methods (San Diego, Calif.) · 2024Review
- Optimization of Mass Spectrometry Imaging for Drug Metabolism and Distribution Studies in the Zebrafish Larvae Model: A Case Study with the Opioid Antagonist Naloxone.International journal of molecular sciences · 2023Article
- Advances in Mass Spectrometry-Metabolomics Based Approaches.Advances in experimental medicine and biology · 2023Article
- Metabolomics and modelling approaches for systems metabolic engineering.Metabolic engineering communications · 2022Review
- "Omic" Approaches to Bacteria and Antibiotic Resistance Identification.International journal of molecular sciences · 2022Review
- The Natural Products Atlas 2.0: a database of microbially-derived natural products.Nucleic acids research · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Metabolite annotation from imaging mass spectrometry (imaging MS) data is a difficult undertaking that is extremely resource intensive. Here, we adapted METASPACE, cloud software for imaging MS metabolite annotation and data interpretation, to quickly annotate microbial specialized metabolites from high-resolution and high-mass accuracy imaging MS data. Compared with manual ion image and MS1 annotation, METASPACE is faster and, with the appropriate database, more accurate. We applied it to data from microbial colonies grown on agar containing 10 diverse bacterial species and showed that METASPACE was able to annotate 53 ions corresponding to 32 different microbial metabolites. This demonstrates METASPACE to be a useful tool to annotate the chemistry and metabolic exchange factors found in microbial interactions, thereby elucidating the functions of these molecules.
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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.