%0 Journal Article %1 Calavia20125061 %A Calavia, Raul %A Annanouch, Fatima E. %A Correig, Xavier %A Yanes, Oscar %D 2012 %J Journal of Proteomics %K nims proteomics %N 16 %P 5061 - 5068 %R 10.1016/j.jprot.2012.05.002 %T Nanostructure Initiator Mass Spectrometry for tissue imaging in metabolomics: Future prospects and perspectives %U http://www.sciencedirect.com/science/article/pii/S1874391912002722 %V 75 %X Mass spectrometry-based metabolomics provides a new approach to interrogate mechanistic biochemistry related to natural processes such as health and disease. Physiological and pathological conditions, however, are characterized not only by the identities and concentrations of metabolites present, but also by the location of metabolites within a tissue. Unfortunately, most relevant \MS\ platforms in metabolomics can only measure samples in solution, therefore metabolites are typically extracted by tissue homogenization. Recent developments of imaging-MS technologies, however, have allowed particular metabolites to be spatially localized within biological tissues. In this context, Nanostructure-Initiator Mass Spectrometry (NIMS), a matrix-free technique for surface-based analysis, has proven an alternative approach for tissue imaging of metabolites. Here we review the basic principles of \NIMS\ for tissue imaging and show applications that can complement LC/MS and GC/MS-based metabolomic studies investigating the mechanisms of fundamental biological processes. In addition, the new surface modifications and nanostructured materials herein presented demonstrate the versatility of \NIMS\ surface to expand the range of detectable metabolites. 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.

@article{Calavia20125061, abstract = {Mass spectrometry-based metabolomics provides a new approach to interrogate mechanistic biochemistry related to natural processes such as health and disease. Physiological and pathological conditions, however, are characterized not only by the identities and concentrations of metabolites present, but also by the location of metabolites within a tissue. Unfortunately, most relevant \{MS\} platforms in metabolomics can only measure samples in solution, therefore metabolites are typically extracted by tissue homogenization. Recent developments of imaging-MS technologies, however, have allowed particular metabolites to be spatially localized within biological tissues. In this context, Nanostructure-Initiator Mass Spectrometry (NIMS), a matrix-free technique for surface-based analysis, has proven an alternative approach for tissue imaging of metabolites. Here we review the basic principles of \{NIMS\} for tissue imaging and show applications that can complement LC/MS and GC/MS-based metabolomic studies investigating the mechanisms of fundamental biological processes. In addition, the new surface modifications and nanostructured materials herein presented demonstrate the versatility of \{NIMS\} surface to expand the range of detectable metabolites. 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. }, added-at = {2013-04-15T18:37:32.000+0200}, author = {Calavia, Raul and Annanouch, Fatima E. and Correig, Xavier and Yanes, Oscar}, biburl = {https://www.bibsonomy.org/bibtex/277fd9548c0619a9e8bc826c9f935ee1a/legaultdenis}, doi = {10.1016/j.jprot.2012.05.002}, interhash = {c275b32f1ce299e3541edcd3d09ae644}, intrahash = {77fd9548c0619a9e8bc826c9f935ee1a}, issn = {1874-3919}, journal = {Journal of Proteomics }, keywords = {nims proteomics}, note = {Special Issue: Imaging Mass Spectrometry: A User’s Guide to a New Technique for Biological and Biomedical Research }, number = 16, pages = {5061 - 5068}, timestamp = {2013-04-15T18:37:32.000+0200}, title = {Nanostructure Initiator Mass Spectrometry for tissue imaging in metabolomics: Future prospects and perspectives }, url = {http://www.sciencedirect.com/science/article/pii/S1874391912002722}, volume = 75, year = 2012 }