ArticleRapid communications in mass spectrometry : RCM2013
Liquid chromatography/mass spectrometry methods for measuring dipeptide abundance in non-small-cell lung cancer.
Article in Rapid communications in mass spectrometry : RCM, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 42 citations in OpenAlex.
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- Bioactive Peptide Profiling in Collagen Hydrolysates: Comparative Analysis Using Targeted and Untargeted Liquid Chromatography-Tandem Mass Spectrometry Quantification.Molecules (Basel, Switzerland) · 2024Article
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- Dysregulated Lipid Synthesis by Oncogenic IDH1 Mutation Is a Targetable Synthetic Lethal Vulnerability.Cancer discovery · 2023Article
- Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases.International journal of molecular sciences · 2022Article
- Systematic screening and structural characterization of dipeptides using offline 2D LC-LTQ-Orbitrap MS: A case study ofJournal of pharmaceutical analysis · 2022Article
- A human multi-lineage hepatic organoid model for liver fibrosis.Nature communications · 2021Article
- One extraction tool forJournal of pharmaceutical analysis · 2021Article
- Metabolomic Profiling in Lung Cancer: A Systematic Review.Metabolites · 2021Review
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- Neutral Desorption Extractive Electrospray Ionization Mass Spectrometry Analysis Sputum for Non-Invasive Lung Adenocarcinoma Detection.OncoTargets and therapy · 2021Article
- Fibroblast-specific genome-scale modelling predicts an imbalance in amino acid metabolism in Refsum disease.The FEBS journal · 2020Article
- The phosphatidylethanolamine biosynthesis pathway provides a new target for cancer chemotherapy.Journal of hepatology · 2020Article
- Non-targeted and targeted analysis of collagen hydrolysates during the course of digestion and absorption.Analytical and bioanalytical chemistry · 2020Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
rationaleMetabolomic profiling is a promising methodology of identifying candidate biomarkers for disease detection and monitoring. Although lung cancer is among the leading causes of cancer-related mortality worldwide, the lung tumor metabolome has not been fully characterized.
methodsWe utilized a targeted metabolomic approach to analyze discrete groups of related metabolites. We adopted a dansyl [5-(dimethylamino)-1-naphthalene sulfonamide] derivatization with liquid chromatography/mass spectrometry (LC/MS) to analyze changes of metabolites from paired tumor and normal lung tissues. Identification of dansylated dipeptides was confirmed with synthetic standards. A systematic analysis of retention times was required to reliably identify isobaric dipeptides. We validated our findings in a separate sample cohort.
resultsWe produced a database of the LC retention times and MS/MS spectra of 361 dansyl dipeptides. Interpretation of the spectra is presented. Using this standard data, we identified a total of 279 dipeptides in lung tumor tissue. The abundance of 90 dipeptides was selectively increased in lung tumor tissue compared to normal tissue. In a second set of validation tissues, 12 dipeptides were selectively increased.
conclusionsA systematic evaluation of certain metabolite classes in lung tumors may identify promising disease-specific metabolites. Our database of all possible dipeptides will facilitate ongoing translational applications of metabolomic profiling as it relates to lung cancer.
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