Imperial College London

ProfessorZoltanTakats

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Professor of Analytical Chemistry
 
 
 
//

Contact

 

+44 (0)20 7594 2760z.takats

 
 
//

Location

 

Sir Alexander Fleming BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Cameron:2018:10.1016/j.ymeth.2018.04.027,
author = {Cameron, SJ and Takáts, Z},
doi = {10.1016/j.ymeth.2018.04.027},
journal = {Methods},
pages = {13--24},
title = {Mass spectrometry approaches to metabolic profiling of microbial communities within the human gastrointestinal tract},
url = {http://dx.doi.org/10.1016/j.ymeth.2018.04.027},
volume = {149},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The interaction between microbial communities and their environment, such as the human gastrointestinal tract, has been an area of microbiology rapidly advanced, by developments in sequencing technology. However, these techniques are largely limited to the detection of the taxonomic composition of a microbial community and/or its genetic functional capacity. Here, we discuss a range of mass spectrometry-based approaches which researchers can employ to explore the host-microbiome interactions at the metabolic level. Traditional approaches to mass spectrometry are detailed, alongside new developments in the field, namely ambient ionisation mass spectrometry and imaging mass spectrometry, which we believe will prove to be important to future work in this field. We further discuss considerations for experimental workflows, data analysis options and propose a methodology for the establishment of causal relationships between functional host-microbiome interactions with regards to health and disease in the human gastrointestinal tract.
AU - Cameron,SJ
AU - Takáts,Z
DO - 10.1016/j.ymeth.2018.04.027
EP - 24
PY - 2018///
SN - 1046-2023
SP - 13
TI - Mass spectrometry approaches to metabolic profiling of microbial communities within the human gastrointestinal tract
T2 - Methods
UR - http://dx.doi.org/10.1016/j.ymeth.2018.04.027
UR - https://www.ncbi.nlm.nih.gov/pubmed/29704664
UR - http://hdl.handle.net/10044/1/59259
VL - 149
ER -