Imperial College London
Alternate

ProfessorRobertGlen

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Chair in Computational Medicine
 
 
 
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Contact

 

+44 (0)20 7594 7912r.glen Website

 
 
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Location

 

362Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@misc{Inglese:2018,
author = {Inglese, P and Strittmatter, N and Doria, L and Mroz, A and Speller, A and Poynter, L and Dannhorn, A and Kudo, H and Mirnezami, R and Goldin, R and Nicholson, J and Takats, Z and Glen, R},
title = {Mass spectrometry: from imaging to metabolic networks},
type = {Poster},
url = {http://hdl.handle.net/10044/1/71207},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - GEN
AB  - A  deeper  understanding  of  inter-tumorand  intra-tumorheterogeneity  is  a  critical  factor  for  the  advancement  of  next  generation  strategies  against  cancer.  Under  the  hypothesis  that  heterogeneous  progression  of  tumorsis  mirrored  by  their  metabolic  heterogeneity,  detection  of  biochemical  mechanisms  responsible  of  the  local  metabolism  becomes  crucial.We  show  that  network  analysis  of  co-localized  ions  from  mass  spectrometry  imaging  data  provides  a  detailed  chemo-spatial  insightinto  the  metabolic  heterogeneity  of  tumor.  Furthermore,  module  preservation  analysis  between  colorectal  cancer  patients  with  and  without  metastatic  recurrence  suggests  hypotheses  on  the  nature  of  the  different  local  metabolic  pathways.
AU  - Inglese,P
AU  - Strittmatter,N
AU  - Doria,L
AU  - Mroz,A
AU  - Speller,A
AU  - Poynter,L
AU  - Dannhorn,A
AU  - Kudo,H
AU  - Mirnezami,R
AU  - Goldin,R
AU  - Nicholson,J
AU  - Takats,Z
AU  - Glen,R
PY  - 2018///
TI  - Mass spectrometry: from imaging to metabolic networks
UR  - http://hdl.handle.net/10044/1/71207
ER  -
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