NDLI: Untargeted Tumor Metabolomics with Liquid Chromatography

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Untargeted Tumor Metabolomics with Liquid Chromatography–Surface‐Enhanced Raman Spectroscopy

Content Provider	Scilit
Author	Xiao, Lifu Wang, Chuanqi Dai, Chen Littlepage, Laurie E. Li, Jun Schultz, Zachary D.
Copyright Year	2020
Description	Journal: Angewandte Chemie International Edition Metabolomics is a powerful systems biology approach that monitors changes in biomolecule concentrations to diagnose and monitor health and disease. However, leading metabolomics technologies, such as NMR and mass spectrometry (MS), access only a small portion of the metabolome. Now an approach is presented that uses the high sensitivity and chemical specificity of surface-enhanced Raman scattering (SERS) for online detection of metabolites from tumor lysates following liquid chromatography (LC). The results demonstrate that this LC-SERS approach has metabolite detection capabilities comparable to the state-of-art LC-MS but suggest a selectivity for the detection of a different subset of metabolites. Analysis of replicate LC-SERS experiments exhibit reproducible metabolite patterns that can be converted into barcodes, which can differentiate different tumor models. Our work demonstrates the potential of LC-SERS technology for metabolomics-based diagnosis and treatment of cancer.
Related Links	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028501/pdf
Ending Page	3443
Page Count	5
Starting Page	3439
ISSN	14337851
e-ISSN	15213773
DOI	10.1002/anie.201912387
Journal	Angewandte Chemie International Edition
Issue Number	9
Volume Number	59
Language	English
Publisher	Wiley-Blackwell
Publisher Date	2020-01-27
Access Restriction	Open
Subject Keyword	Journal: Angewandte Chemie International Edition Metabolic Fingerprinting Surface-enhanced Raman Scattering
Content Type	Text
Resource Type	Article
Subject	Chemistry Catalysis

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