ArticleThe Analyst2025
Evaluating sample normalization methods for MS-based multi-omics and the application to a neurodegenerative mouse model.
Article in The Analyst, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Oleic Acid Levels in HSAInternational journal of molecular sciences · 2026Article
- sPLA2-IIA modifies progranulin deficiency phenotypes in mouse models.Molecular neurodegeneration · 2025Article
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4 authors.
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Abstract
Mass spectrometry (MS)-based omics methods have transformed biomedical research with accurate and high-throughput analysis of diverse molecules in biological systems. Recent technological advances also enabled multi-omics to be achieved from the same sample or on a single analytical platform. Sample normalization is a critical step in MS-omics studies but is usually conducted independently for each omics experiment. To bridge this technical gap, we evaluated different sample normalization methods suitable for analyzing proteins, lipids, and metabolites from the same sample for multi-omics analysis. We found that normalizing samples based on tissue weight or protein concentration before or after extraction generated distinct quantitative results. Normalizing samples first by tissue weight before extraction and then by protein concentration after extraction resulted in the lowest sample variation to reveal true biological differences. We then applied this two-step normalization method to investigate multi-omics profiles of mouse brains lacking the
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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 Socratic graph.