TY - JOUR
T1 - In situ metabolomic mass spectrometry imaging
T2 - Recent advances and difficulties
AU - Miura, Daisuke
AU - Fujimura, Yoshinori
AU - Wariishi, Hiroyuki
N1 - Funding Information:
Preparation of this manuscript was supported in part by the Science and Technology Incubation Program in Advanced Region from the funding program “Creation of Innovation Centers for Advanced Interdisciplinary Research Areas” from Japan Science and Technology Agency, commissioned by the Ministry of Education, Culture, Sports, Science, and Technology .
PY - 2012/8/30
Y1 - 2012/8/30
N2 - MS imaging (MSI) is a remarkable new technology that enables us to determine the distribution of biological molecules present in tissue sections by direct ionization and detection. This technique is now widely used for in situ imaging of endogenous or exogenous molecules such as proteins, lipids, drugs and their metabolites, and it is a potential tool for pathological analysis and the investigation of disease mechanisms. MSI is also thought to be a technique that could be used for biomarker discovery with spatial information. The application of MSI to the study of endogenous metabolites has received considerable attention because metabolites are the result of the interactions of a system's genome with its environment and a total set of these metabolites more closely represents the phenotype of an organism under a given set of conditions. Recent studies have suggested the importance of in situ metabolite imaging in biological discovery and biomedical applications, but several issues regarding the technical application limits of MSI still remained to be resolved. In this review, we describe the capabilities of the latest MSI techniques for the imaging of endogenous metabolites in biological samples, and also discuss the technical problems and new challenges that need to be addressed for effective and widespread application of MSI in both preclinical and clinical settings.This article is part of a Special Issue entitled: Imaging Mass Spectrometry: A User's Guide to a New Technique for Biological and Biomedical Research.
AB - MS imaging (MSI) is a remarkable new technology that enables us to determine the distribution of biological molecules present in tissue sections by direct ionization and detection. This technique is now widely used for in situ imaging of endogenous or exogenous molecules such as proteins, lipids, drugs and their metabolites, and it is a potential tool for pathological analysis and the investigation of disease mechanisms. MSI is also thought to be a technique that could be used for biomarker discovery with spatial information. The application of MSI to the study of endogenous metabolites has received considerable attention because metabolites are the result of the interactions of a system's genome with its environment and a total set of these metabolites more closely represents the phenotype of an organism under a given set of conditions. Recent studies have suggested the importance of in situ metabolite imaging in biological discovery and biomedical applications, but several issues regarding the technical application limits of MSI still remained to be resolved. In this review, we describe the capabilities of the latest MSI techniques for the imaging of endogenous metabolites in biological samples, and also discuss the technical problems and new challenges that need to be addressed for effective and widespread application of MSI in both preclinical and clinical settings.This article is part of a Special Issue entitled: Imaging Mass Spectrometry: A User's Guide to a New Technique for Biological and Biomedical Research.
UR - http://www.scopus.com/inward/record.url?scp=84865158500&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84865158500&partnerID=8YFLogxK
U2 - 10.1016/j.jprot.2012.02.011
DO - 10.1016/j.jprot.2012.02.011
M3 - Review article
C2 - 22366554
AN - SCOPUS:84865158500
SN - 1874-3919
VL - 75
SP - 5052
EP - 5060
JO - Journal of Biochemical and Biophysical Methods
JF - Journal of Biochemical and Biophysical Methods
IS - 16
ER -