Imperial College London
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Dr. Jia Li

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Reader in Biological Chemistry
 
 
 
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Contact

 

+44 (0)20 7594 3230jia.li

 
 
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Location

 

10.N2ACommonwealth BuildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Vorkas:2018:10.1007/978-1-4939-7643-0_17,
author = {Vorkas, PA and Abellona, U MR and Li, JV},
doi = {10.1007/978-1-4939-7643-0_17},
pages = {239--260},
title = {Tissue Multiplatform-Based Metabolomics/Metabonomics for Enhanced Metabolome Coverage.},
url = {http://dx.doi.org/10.1007/978-1-4939-7643-0_17},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - CHAP
AB  - The use of tissue as a matrix to elucidate disease pathology or explore intervention comes with several advantages. It allows investigation of the target alteration directly at the focal location and facilitates the detection of molecules that could become elusive after secretion into biofluids. However, tissue metabolomics/metabonomics comes with challenges not encountered in biofluid analyses. Furthermore, tissue heterogeneity does not allow for tissue aliquoting. Here we describe a multiplatform, multi-method workflow which enables metabolic profiling analysis of tissue samples, while it can deliver enhanced metabolome coverage. After applying a dual consecutive extraction (organic followed by aqueous), tissue extracts are analyzed by reversed-phase (RP-) and hydrophilic interaction liquid chromatography (HILIC-) ultra-performance liquid chromatography coupled to mass spectrometry (UPLC-MS) and nuclear magnetic resonance (NMR) spectroscopy. This pipeline incorporates the required quality control features, enhances versatility, allows provisional aliquoting of tissue extracts for future guided analyses, expands the range of metabolites robustly detected, and supports data integration. It has been successfully employed for the analysis of a wide range of tissue types.
AU  - Vorkas,PA
AU  - Abellona,U MR
AU  - Li,JV
DO  - 10.1007/978-1-4939-7643-0_17
EP  - 260
PY  - 2018///
SP  - 239
TI  - Tissue Multiplatform-Based Metabolomics/Metabonomics for Enhanced Metabolome Coverage.
UR  - http://dx.doi.org/10.1007/978-1-4939-7643-0_17
UR  - https://www.ncbi.nlm.nih.gov/pubmed/29654595
ER  -
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