Literature DB >> 31404622

Comparison of liquid chromatography-mass spectrometry and direct infusion microchip electrospray ionization mass spectrometry in global metabolomics of cell samples.

Päivi Pöhö1, Katriina Lipponen1, Maxim M Bespalov2, Tiina Sikanen1, Tapio Kotiaho3, Risto Kostiainen4.   

Abstract

In this study, the feasibility of direct infusion electrospray ionization microchip mass spectrometry (chip-MS) was compared to the commonly used liquid chromatography-mass spectrometry (LC-MS) in non-targeted metabolomics analysis of human foreskin fibroblasts (HFF) and human induced pluripotent stem cells (hiPSC) reprogrammed from HFF. The total number of the detected features with chip-MS and LC-MS were 619 and 1959, respectively. Approximately 25% of detected features showed statistically significant changes between the cell lines with both analytical methods. The results show that chip-MS is a rapid and simple method that allows high sample throughput from small sample volumes and can detect the main metabolites and classify cells based on their metabolic profiles. However, the selectivity of chip-MS is limited compared to LC-MS and chip-MS may suffer from ion suppression.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cells; Direct infusion mass spectrometry; Electrospray; Liquid chromatography-mass spectrometry; Metabolomics; Microchip

Mesh:

Year:  2019        PMID: 31404622     DOI: 10.1016/j.ejps.2019.104991

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  2 in total

Review 1.  Ecological and toxicological assessments of anthropogenic contaminants based on environmental metabolomics.

Authors:  Li-Juan Zhang; Lu Qian; Ling-Yun Ding; Lei Wang; Ming Hung Wong; Hu-Chun Tao
Journal:  Environ Sci Ecotechnol       Date:  2021-01-28

2.  Resolvin E1 in Follicular Fluid Acts as a Potential Biomarker and Improves Oocyte Developmental Competence by Optimizing Cumulus Cells.

Authors:  Yijing Zhang; Zhongyi Zhu; He Li; Mingjiang Zhu; Xiandong Peng; Aijie Xin; Ronggui Qu; Wen He; Jing Fu; Xiaoxi Sun
Journal:  Front Endocrinol (Lausanne)       Date:  2020-04-16       Impact factor: 5.555

  2 in total

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