Literature DB >> 27720680

High throughput solid phase microextraction: A new alternative for analysis of cellular lipidome?

Afsoon Pajand Birjandi1, Barbara Bojko1, Zhibin Ning2, Daniel Figeys2, Janusz Pawliszyn3.   

Abstract

A new SPME method for untargeted lipidomic study of cell line cultures was proposed for the first time. In this study the feasibility to monitor changes in lipid profile after external stimuli was demonstrated and compared to the conventional Bligh & Dyer method. The human hepatocellular carcinoma (HCC) cell line was used as a model. The obtained results provided a list of up-regulated and down-regulated lipids through a comparison between control (non-stimulated) cells versus the group of cells treated with polyunsaturated fatty acid (20:5). Use of the SPME technique yielded a list of 77 lipid species whose concentrations were recognized to be significantly different between control and treated cells, from which 63 lipids were up-regulated in treated cells. In general, the list was comparable to the peer list obtained by the Bligh & Dyer method. However, more diversity of lipid classes and subclasses such as LPC, sphingomyelins, ceramides, and prenol lipids were observed with the application of the SPME method. Method precision for the SPME approach was within the acceptable analytical range (5-18% RSD) for all detected lipids, which was advantageous over solvent extraction applied. The evaluation of ionization efficiency indicated no matrix effect for the SPME technique, while Bligh & Dyer presented significant ionization suppression for low abundant species such as LysoPC, PG, ceramides, and sphingomyelins, and ionization enhancement for high abundant phospholipids such as PE.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Automation; Cell line study; Lipidomics; Solid phase microextraction

Mesh:

Substances:

Year:  2016        PMID: 27720680     DOI: 10.1016/j.jchromb.2016.09.034

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  6 in total

1.  Analytical challenges of shotgun lipidomics at different resolution of measurements.

Authors:  Jianing Wang; Xianlin Han
Journal:  Trends Analyt Chem       Date:  2019-10-17       Impact factor: 12.296

2.  SPME-LC/MS-based serum metabolomic phenotyping for distinguishing ovarian cancer histologic subtypes: a pilot study.

Authors:  Mariola Olkowicz; Hernando Rosales-Solano; Vathany Kulasingam; Janusz Pawliszyn
Journal:  Sci Rep       Date:  2021-11-17       Impact factor: 4.379

3.  New chemical biopsy tool for spatially resolved profiling of human brain tissue in vivo.

Authors:  Joanna Bogusiewicz; Katarzyna Burlikowska; Kamil Łuczykowski; Karol Jaroch; Marcin Birski; Jacek Furtak; Marek Harat; Janusz Pawliszyn; Barbara Bojko
Journal:  Sci Rep       Date:  2021-09-30       Impact factor: 4.379

4.  Investigating the Potential Use of Chemical Biopsy Devices to Characterize Brain Tumor Lipidomes.

Authors:  Joanna Bogusiewicz; Bogumiła Kupcewicz; Paulina Zofia Goryńska; Karol Jaroch; Krzysztof Goryński; Marcin Birski; Jacek Furtak; Dariusz Paczkowski; Marek Harat; Barbara Bojko
Journal:  Int J Mol Sci       Date:  2022-03-24       Impact factor: 5.923

Review 5.  Metabolomics Studies in Psoriatic Disease: A Review.

Authors:  John Koussiouris; Nikita Looby; Melanie Anderson; Vathany Kulasingam; Vinod Chandran
Journal:  Metabolites       Date:  2021-06-10

6.  Serum metabolic fingerprinting of psoriasis and psoriatic arthritis patients using solid-phase microextraction-liquid chromatography-high-resolution mass spectrometry.

Authors:  Nikita Looby; Anna Roszkowska; Nathaly Reyes-Garcés; Miao Yu; Tomasz Bączek; Vathany Kulasingam; Janusz Pawliszyn; Vinod Chandran
Journal:  Metabolomics       Date:  2021-06-16       Impact factor: 4.290

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.