Imperial College London

Emeritus ProfessorJeremyNicholson

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Emeritus Professor of Biological Chemistry
 
 
 
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Contact

 

+44 (0)20 7594 3195j.nicholson Website

 
 
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Assistant

 

Ms Wendy Torto +44 (0)20 7594 3225

 
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Location

 

Office no. 665Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Chekmeneva:2017:10.1021/acs.jproteome.6601003,
author = {Chekmeneva, E and Correia, GDS and Chan, Q and Wijeyesekera, A and Tin, A and Young, JH and Elliott, P and Nicholson, JK and Holmes, E and Chekmeneva, E and dos, Santos Correia and Chan and Wijeyesekera and Elliott and Nicholson, J and Holmes, E},
doi = {10.1021/acs.jproteome.6601003},
journal = {JOURNAL OF PROTEOME RESEARCH},
pages = {1646--1658},
title = {Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology},
url = {http://dx.doi.org/10.1021/acs.jproteome.6601003},
volume = {16},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Large-scale metabolic profiling requires the development of novel economical high-throughput analytical methods to facilitate characterization of systemic metabolic variation in population phenotypes. We report a fit-for-purpose direct infusion nanoelectrospray high-resolution mass spectrometry (DI-nESI-HRMS) method with time-of-flight detection for rapid targeted parallel analysis of over 40 urinary metabolites. The newly developed 2 min infusion method requires <10 μL of urine sample and generates high-resolution MS profiles in both positive and negative polarities, enabling further data mining and relative quantification of hundreds of metabolites. Here we present optimization of the DI-nESI-HRMS method in a detailed step-by-step guide and provide a workflow with rigorous quality assessment for large-scale studies. We demonstrate for the first time the application of the method for urinary metabolic profiling in human epidemiological investigations. Implementation of the presented DI-nESI-HRMS method enabled cost-efficient analysis of >10000 24 h urine samples from the INTERMAP study in 12 weeks and >2200 spot urine samples from the ARIC study in <3 weeks with the required sensitivity and accuracy. We illustrate the application of the technique by characterizing the differences in metabolic phenotypes of the USA and Japanese population from the INTERMAP study.
AU - Chekmeneva,E
AU - Correia,GDS
AU - Chan,Q
AU - Wijeyesekera,A
AU - Tin,A
AU - Young,JH
AU - Elliott,P
AU - Nicholson,JK
AU - Holmes,E
AU - Chekmeneva,E
AU - dos,Santos Correia
AU - Chan
AU - Wijeyesekera
AU - Elliott
AU - Nicholson,J
AU - Holmes,E
DO - 10.1021/acs.jproteome.6601003
EP - 1658
PY - 2017///
SN - 1535-3893
SP - 1646
TI - Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology
T2 - JOURNAL OF PROTEOME RESEARCH
UR - http://dx.doi.org/10.1021/acs.jproteome.6601003
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000398985700024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/45088
VL - 16
ER -