ArticleGenome biology2024
Quartet metabolite reference materials for inter-laboratory proficiency test and data integration of metabolomics profiling.
Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- From "Undetectable" to "Sensitive Detection": Advances in Derivatization Techniques for LC-MS Analysis of Genotoxic Impurities.Molecules (Basel, Switzerland) · 2026Review
- Analysis of Metabolic Differences and Core Regulatory Pathways in Lactic Acid Bacteria-Fermented Broths of DifferentFoods (Basel, Switzerland) · 2026Article
- Tumor organoids for testing metabolic flexibility in precision oncology.Frontiers in oncology · 2026Review
- A Telomere-to-telomere Diploid Reference Genome and Centromere Structure of the Chinese Quartet.Genomics, proteomics & bioinformatics · 2025Article
- Nutrigenomics meets multi-omics: integrating genetic, metabolic, and microbiome data for personalized nutrition strategies.Genes & nutrition · 2025Review
- Protein-level batch-effect correction enhances robustness in MS-based proteomics.Nature communications · 2025Article
- Methylation reference datasets from quartet DNA materials for benchmarking epigenome sequencing.Nature communications · 2025Article
- The important role of standards for the uptake of transcriptomics and metabolomics based in vitro methods in regulatory toxicology.Archives of toxicology · 2025Review
- Metabolomics Analysis-Based Machine Learning for Endometrial Cancer Diagnosis: Integration of Biomarker Discovery and Explainable Artificial Intelligence.Journal of clinical practice and research · 2025Article
- Construction of RNA reference materials for improving the quantification of transcriptomic data.Nature protocols · 2025Review
- Assessing the impact of batch effect associated missing values on downstream analysis in high-throughput biomedical data.Briefings in bioinformatics · 2025Article
- Transcriptome and metabolome analysis of the responses of salt resistance of differentFrontiers in plant science · 2025Article
- Assessing and mitigating batch effects in large-scale omics studies.Genome biology · 2024Review
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Authors and funding
19 authors.
Funding
Abstract
backgroundVarious laboratory-developed metabolomic methods lead to big challenges in inter-laboratory comparability and effective integration of diverse datasets.
resultsAs part of the Quartet Project, we establish a publicly available suite of four metabolite reference materials derived from B lymphoblastoid cell lines from a family of parents and monozygotic twin daughters. We generate comprehensive LC-MS-based metabolomic data from the Quartet reference materials using targeted and untargeted strategies in different laboratories. The Quartet multi-sample-based signal-to-noise ratio enables objective assessment of the reliability of intra-batch and cross-batch metabolomics profiling in detecting intrinsic biological differences among the four groups of samples. Significant variations in the reliability of the metabolomics profiling are identified across laboratories. Importantly, ratio-based metabolomics profiling, by scaling the absolute values of a study sample relative to those of a common reference sample, enables cross-laboratory quantitative data integration. Thus, we construct the ratio-based high-confidence reference datasets between two reference samples, providing "ground truth" for inter-laboratory accuracy assessment, which enables objective evaluation of quantitative metabolomics profiling using various instruments and protocols.
conclusionsOur study provides the community with rich resources and best practices for inter-laboratory proficiency tests and data integration, ensuring reliability of large-scale and longitudinal metabolomic studies.
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