Sample Preparation for Metabolic Profiling using MALDI Mass Spectrometry Imaging.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
22 12 2020
Historique:
entrez: 11 1 2021
pubmed: 12 1 2021
medline: 27 2 2021
Statut: epublish

Résumé

Metabolomics, the study to identify and quantify small molecules and metabolites present in an experimental sample, has emerged as an important tool to investigate the biological activities during development and diseases. Metabolomics approaches are widely employed in the study of cancer, nutrition/diet, diabetes, and other physiological and pathological conditions involving metabolic processes. An advantageous tool that aids in metabolomic profiling advocated in this paper is matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI). Its ability to detect metabolites in situ without labeling, structural modifications, or other specialized reagents, such as those used in immunostaining, makes MALDI MSI a unique tool in advancing methodologies relevant in the field of metabolomics. An appropriate sample preparation process is critical to yield optimal results and will be the focus of this paper.

Identifiants

pubmed: 33427237
doi: 10.3791/62008
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Kelly Veerasammy (K)

The Graduate Center - Advanced Science Research Center, Neuroscience Initiative, The City University of New York; The City College of New York, CUNY.

Yuki X Chen (YX)

The Graduate Center - Advanced Science Research Center, Neuroscience Initiative, The City University of New York; The City College of New York, CUNY.

Sami Sauma (S)

The Graduate Center - Advanced Science Research Center, Neuroscience Initiative, The City University of New York.

Mathilde Pruvost (M)

The Graduate Center - Advanced Science Research Center, Neuroscience Initiative, The City University of New York.

David K Dansu (DK)

The Graduate Center - Advanced Science Research Center, Neuroscience Initiative, The City University of New York.

Tenzin Choetso (T)

The Graduate Center - Advanced Science Research Center, Neuroscience Initiative, The City University of New York; The City College of New York, CUNY.

Tiffany Zhong (T)

The Bronx High School of Science.

Damien Marechal (D)

The Graduate Center - Advanced Science Research Center, Neuroscience Initiative, The City University of New York.

Patrizia Casaccia (P)

The Graduate Center - Advanced Science Research Center, Neuroscience Initiative, The City University of New York.

Rinat Abzalimov (R)

The Graduate Center - Advanced Science Research Center, Structural Biology Initiative, The City University of New York; The Graduate Center - Advanced Science Research Center, MALDI MS Imaging Joint Core Facility, The City University of New York; rabzalimov@gc.cuny.edu.

Ye He (Y)

The Graduate Center - Advanced Science Research Center, Neuroscience Initiative, The City University of New York; The Graduate Center - Advanced Science Research Center, MALDI MS Imaging Joint Core Facility, The City University of New York; yhe1@gc.cuny.edu.

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Classifications MeSH