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Metabolomics Services

Neorabio provides metabolomics services designed to support comprehensive analysis of small-molecule metabolites that reflect cellular and physiological states. Because metabolites represent the downstream outcome of gene expression, protein activity, and environmental influences, metabolomic profiling provides a functional readout closely linked to phenotype. Conceptual frameworks positioning metabolomics as the terminal layer of the omics cascade were articulated in integrative analyses by Patti, Yanes, and Siuzdak (2012), which highlighted the unique role of metabolite-level measurements in capturing biological responses that cannot be inferred solely from genomic or transcriptomic data.

About Service

Neorabio's metabolomics services are built on an integrated platform combining standardized sample preparation, high-resolution analytical instrumentation, and controlled computational analysis. Depending on study objectives, both targeted and untargeted profiling strategies are applied, with experimental workflows emphasizing controlled sample handling, extraction consistency, and instrument stability. In data processing and metabolite identification, Neorabio follows analytical principles aligned with large-scale metabolomics protocols in which peak detection, annotation confidence, and quantitative normalization are treated as interdependent factors affecting biological interpretability.

Our Scope

● Untargeted Metabolomic Profiling
● Broad detection of diverse metabolite classes to characterize global metabolic states
● Targeted Metabolomic Analysis
● Quantitative measurement of predefined metabolite panels linked to specific pathways or functions
● Pathway and Functional Interpretation
● Mapping metabolic alterations to biological pathways and processes

Applications

● Characterization of metabolic states associated with biological conditions or perturbations
● Analysis of pathway-level metabolic activity linked to functional outcomes
● Discovery of phenotype-associated metabolites
● Mechanistic studies connecting metabolic changes to upstream regulatory processes
● Integration of metabolomics with genomic, transcriptomic, or proteomic datasets

Workflow

Exploratory Consultation → Metabolomic Strategy & Profiling Scope Definition → Sample Processing & Instrumental Analysis → Metabolite Identification, Quantification & QC → Pathway Mapping & Functional Interpretation → Final Report Delivery & Scientific Review

References

Patti, G. J., Yanes, O., Siuzdak, G. Metabolomics: the apogee of the omics trilogy. Nature Reviews Molecular Cell Biology, 2012, 13(4): 263–269. DOI: 10.1038/nrm3314
Dunn, W. B., et al. Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry. Nature Protocols, 2011, 6(7): 1060–1083. DOI: 10.1038/nprot.2011.335
Nicholson, J. K., Lindon, J. C., Holmes, E. 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica, 1999, 29(11): 1181–1189. DOI: 10.1080/004982599238047

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Project execution at Neorabio emphasizes data traceability, quantitative robustness, and transparent reporting across experimental and analytical stages. To support biologically meaningful interpretation of metabolic alterations, analytical outputs are contextualized using pathway-level and systems-oriented analysis concepts that have been widely applied in metabolic phenotyping studies. In addition, metabolite annotation and pathway mapping are guided by curated biochemical knowledge bases and computational frameworks commonly used in metabolomics data interpretation. By anchoring deliverables to these established analytical conventions, Neorabio provides metabolite abundance tables, and pathway summaries that can be reliably integrated into functional and multi-omics research.

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