ArticleAnalytical chemistry2013
Measurement of DNA concentration as a normalization strategy for metabolomic data from adherent cell lines.
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 52 papers.
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Who cites it
52 citing papers in PubMed.
- Normalization of GC-MS Metabolomics Data in Adherent Cells: A Practical Comparison of Approaches.International journal of molecular sciences · 2026Article
- Metabolomics: Fundamentals, Methods, Analysis, Limits, and Recommendations.Advances in experimental medicine and biology · 2026Review
- Mass Spectrometry as a Tool for Metabolomics in Cancer.Advances in experimental medicine and biology · 2026Review
- Metabolic remodeling of microorganisms by mobile genetic elements alters mutualistic community composition.mSystems · 2025Article
- Best Practices and Recommendations for Non-Liquid Matrices Bioanalysis.The AAPS journal · 2025Article
- Deciphering Colorectal Cancer-Hepatocyte Interactions: A Multiomics Platform for Interrogation of Metabolic Crosstalk in the Liver-Tumor Microenvironment.International journal of molecular sciences · 2025Article
- Deciphering Colorectal Cancer-Hepatocyte Interactions: A Multiomic Platform for Interrogation of Metabolic Crosstalk in the Liver-Tumor Microenvironment.bioRxiv : the preprint server for biology · 2024Article
- Rapid and Accurate Ecotoxicological Assessment of Heavy Metals UsingLife (Basel, Switzerland) · 2024Article
- miR-21/SMAD2 Is Involved in the Decrease in Progesterone Synthesis Caused by Lipopolysaccharide Exposure in Follicular Granulosa Cells of Laying Goose.Metabolites · 2024Article
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- Assessing the response of human primary macrophages to defined fibrous architectures fabricated by melt electrowriting.Bioactive materials · 2023Article
- Development of an Untargeted Metabolomics Strategy to Study the Metabolic Rewiring of Dendritic Cells upon Lipopolysaccharide Activation.Metabolites · 2023Article
- Chemical screening identifies the anticancer properties ofJournal of Cancer · 2023Article
- The assessment of the potential hepatotoxicity of new drugs byFrontiers in pharmacology · 2023Review
- Advances in Microbial NMR Metabolomics.Advances in experimental medicine and biology · 2023Article
- Chemical screening identifies the anticancer properties ofJournal of Cancer · 2023Article
- Linoleic acid metabolism activation in macrophages promotes the clearing of intracellularChemical science · 2022Article
- Cardiotoxicity of cyclophosphamide's metabolites: an in vitro metabolomics approach in AC16 human cardiomyocytes.Archives of toxicology · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Metabolomics is a rapidly advancing field, and much of our understanding of the subject has come from research on cell lines. However, the results and interpretation of such studies depend on appropriate normalization of the data; ineffective or poorly chosen normalization methods can lead to frankly erroneous conclusions. That is a recurrent challenge because robust, reliable methods for normalization of data from cells have not been established. In this study, we have compared several methods for normalization of metabolomic data from cell extracts. Total protein concentration, cell count, and DNA concentration exhibited strong linear correlations with seeded cell number, but DNA concentration was found to be the most generally useful method for the following reasons: (1) DNA concentration showed the greatest consistency across a range of cell numbers; (2) DNA concentration was the closest to proportional with cell number; (3) DNA samples could be collected from the same dish as the metabolites; and (4) cell lines that grew in clumps were difficult to count accurately. We therefore conclude that DNA concentration is a widely applicable method for normalizing metabolomic data from adherent cell lines.
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