Back to Search Start Over

Sheathless CE-MS based metabolic profiling of kidney tissue section samples from a mouse model of Polycystic Kidney Disease

Authors :
Antonio L. Crego
Dorien J.M. Peters
Oleg A. Mayboroda
Guinevere S. M. Kammeijer
María Luisa Marina
Rawi Ramautar
Elena Sánchez-López
Universidad de Alcalá. Departamento de Química Analítica, Química Física e Ingeniería Química
Source :
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019), e_Buah Biblioteca Digital Universidad de Alcalá, instname, Scientific Reports, 9, Scientific Reports
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

Capillary electrophoresis-mass spectrometry (CE-MS) using a sheathless porous tip interface emerged as an attractive tool in metabolomics thanks to its numerous advantages. One of the main advantages compared to the classical co-axial sheath liquid interface is the increased sensitivity, while maintaining the inherent properties of CE, such as a high separation efficiency and low sample consumption. Specially, the ability to perform nanoliter-based injections from only a few microliters of material in the sample vial makes sheathless CE-MS a well-suited and unique approach for highly sensitive metabolic profiling of limited sample amounts. Therefore, in this work, we demonstrate the utility of sheathless CE-MS for metabolic profiling of biomass-restricted samples, namely for 20 µm-thick tissue sections of kidney from a mouse model of polycystic kidney disease (PKD). The extraction method was designed in such a way to keep a minimum sample-volume in the injection vial, thereby still allowing multiple nanoliter injections for repeatability studies. The developed strategy enabled to differentiate between different stages of PKD and as well changes in a variety of different metabolites could be annotated over experimental groups. These metabolites include carnitine, glutamine, creatine, betaine and creatinine. Overall, this study shows the utility of sheathless CE-MS for biomass-limited metabolomics studies.

Details

ISSN :
20452322
Volume :
9
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....8e953c82932c3d0bcaeb1401004b40fc