Automated Lipid Identification and Quantification by Multidimensional Mass Spectrometry-Based Shotgun Lipidomics-Reference-Cited by-同舟云学术

Automated Lipid Identification and Quantification by Multidimensional Mass Spectrometry-Based Shotgun Lipidomics

Published:2009-05-01 Issue:11 Volume:81 Page:4356-4368
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Yang Kui¹,Cheng Hua¹,Gross Richard W.¹,Han Xianlin¹

Affiliation:

1. Division of Bioorganic Chemistry and Molecular Pharmacology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri 63110, Department of Chemistry, Washington University, St. Louis, Missouri 63130

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ac900241u

Reference42 articles.

1. Shotgun lipidomics: multidimensional MS analysis of cellular lipidomes

2. Quantitative Analysis and Molecular Species Fingerprinting of Triacylglyceride Molecular Species Directly from Lipid Extracts of Biological Samples by Electrospray Ionization Tandem Mass Spectrometry

3. Toward fingerprinting cellular lipidomes directly from biological samples by two-dimensional electrospray ionization mass spectrometry

4. Alkaline methanolysis of lipid extracts extends shotgun lipidomics analyses to the low-abundance regime of cellular sphingolipids

5. Factors influencing the electrospray intrasource separation and selective ionization of glycerophospholipids

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