|
Title
|
|
|
|
Implementation of MALDI mass spectrometry imaging in cancer proteomics research : applications and challenges
| |
|
Author
|
|
|
|
| |
|
Abstract
|
|
|
|
| Studying the proteome–the entire set of proteins in cells, tissues, organs and body fluids—is of great relevance in cancer research, as differential forms of proteins are expressed in response to specific intrinsic and extrinsic signals. Discovering protein signatures/pathways responsible for cancer transformation may lead to a better understanding of tumor biology and to a more effective diagnosis, prognosis, recurrence and response to therapy. Moreover, proteins can act as a biomarker or potential drug targets. Hence, it is of major importance to implement proteomic, particularly mass spectrometric, approaches in cancer research, to provide new crucial insights into tumor biology. Recently, mass spectrometry imaging (MSI) approaches were implemented in cancer research, to provide individual molecular characteristics of each individual tumor while retaining molecular spatial distribution, essential in the context of personalized disease management and medicine. |
| |
|
Language
|
|
|
|
English
| |
|
Source (journal)
|
|
|
|
Journal of personalized medicine
| |
|
Publication
|
|
|
|
Basel
:
Mdpi
,
2020
| |
|
ISSN
|
|
|
|
2075-4426
| |
|
DOI
|
|
|
|
10.3390/JPM10020054
| |
|
Volume/pages
|
|
|
|
10
:2
(2020)
, p. 1-12
| |
|
Article Reference
|
|
|
|
54
| |
|
ISI
|
|
|
|
000551585300005
| |
|
Pubmed ID
|
|
|
|
32580362
| |
|
Medium
|
|
|
|
E-only publicatie
| |
|
Full text (Publisher's DOI)
|
|
|
|
| |
|
Full text (open access)
|
|
|
|
| |
|