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Lipidomics

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Cover of 'Lipidomics'

Table of Contents

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    Book Overview
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    Chapter 1 Lipid Sample Preparation for Biomedical Research
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    Chapter 2 Lipid Extraction Techniques for Stable Isotope Analysis and Ecological Assays
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    Chapter 3 Isolation of Lipid Raft Proteins from CD133+ Cancer Stem Cells
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    Chapter 4 Isolation of Neuronal Synaptic Membranes by Sucrose Gradient Centrifugation
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    Chapter 5 Sample Preparation and Analysis for Imaging Mass Spectrometry
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    Chapter 6 Direct Measurement of Free and Esterified Cholesterol Mass in Differentiated Human Podocytes: A TLC and Enzymatic Assay-Based Method
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    Chapter 7 High-Performance Chromatographic Separation of Cerebrosides
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    Chapter 8 Lipid Identification by Untargeted Tandem Mass Spectrometry Coupled with Ultra-High-Pressure Liquid Chromatography
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    Chapter 9 Utility of Moderate and High-Resolution Mass Spectrometry for Class-Specific Lipid Identification and Quantification
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    Chapter 10 A Robust Lipidomics Workflow for Mammalian Cells, Plasma, and Tissue Using Liquid-Chromatography High-Resolution Tandem Mass Spectrometry
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    Chapter 11 Combined Use of MALDI-TOF Mass Spectrometry and 31P NMR Spectroscopy for Analysis of Phospholipids
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    Chapter 12 Global Monitoring of the Mammalian Lipidome by Quantitative Shotgun Lipidomics
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    Chapter 13 Bioinformatics Pertinent to Lipid Analysis in Biological Samples
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    Chapter 14 LC–MS-Based Lipidomics and Automated Identification of Lipids Using the LipidBlast In-Silico MS/MS Library
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    Chapter 15 Single-Step Capture and Targeted Metabolomics of Alkyl-Quinolones in Outer Membrane Vesicles of Pseudomonas aeruginosa
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    Chapter 16 Analysis of Fatty Acid and Cholesterol Content from Detergent-Resistant and Detergent-Free Membrane Microdomains
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    Chapter 17 Computational Functional Analysis of Lipid Metabolic Enzymes
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    Chapter 18 Isoprenylation of Monomeric GTPases in Human Trabecular Meshwork Cells
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    Chapter 19 Purification and Validation of Lipid Transfer Proteins
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    Chapter 20 Incorporation of Artificial Lipid-Anchored Proteins into Cultured Mammalian Cells
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    Chapter 21 Sonication-Based Basic Protocol for Liposome Synthesis
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    Chapter 22 On Electrochemical Methods for Determination of Protein-Lipid Interaction
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    Chapter 23 Angiogenesis Model of Cornea to Understand the Role of Sphingosine 1-Phosphate
Attention for Chapter 3: Isolation of Lipid Raft Proteins from CD133+ Cancer Stem Cells
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Chapter title
Isolation of Lipid Raft Proteins from CD133+ Cancer Stem Cells
Chapter number 3
Book title
Lipidomics
Published in
Methods in molecular biology, June 2017
DOI 10.1007/978-1-4939-6996-8_3
Pubmed ID
Book ISBNs
978-1-4939-6995-1, 978-1-4939-6996-8
Authors

Vineet K. Gupta, Sulagna Banerjee

Editors

Sanjoy K. Bhattacharya

Abstract

Pancreatic cancer cells expressing the surface markers CD133 have been widely reported as cancer stem cells and mainly responsible for tumor recurrence and chemoresistance in pancreatic cancer. In spite of its role as a stem cell marker in pancreatic cancer, its function remains elusive. CD133 (also known as prominin-1) is a pentaspan glycoprotein predominantly localized in lipid rafts, specialized membrane microdomains enriched in crucial signaling proteins. Coexistence of CD133 with these signaling proteins can modulate various signaling pathways that might be responsible for aggressive phenotype of CD133+ cells. This chapter describes a detailed protocol to isolate lipid rafts from CD133+ tumor initiating cells. Purified lipid rafts can be investigated further for protein or lipid composition by mass spectrometry that can shed some light on functional role of CD133 protein in these cancer stem cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Student > Bachelor 1 14%
Student > Master 1 14%
Unknown 4 57%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 14%
Chemistry 1 14%
Medicine and Dentistry 1 14%
Unknown 4 57%