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Hypoxia

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Cover of 'Hypoxia'

Table of Contents

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    Book Overview
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    Chapter 1 Genetic Knockdown and Pharmacologic Inhibition of Hypoxia-Inducible Factor (HIF) Hydroxylases
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    Chapter 2 Kinetic Analysis of HIF Prolyl Hydroxylases
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    Chapter 3 Mass Spectrometry and Bioinformatic Analysis of Hydroxylation-Dependent Protein-Protein Interactions
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    Chapter 4 Acquisition of Temporal HIF Transcriptional Activity Using a Secreted Luciferase Assay
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    Chapter 5 Fluorescence Lifetime Imaging Microscopy (FLIM) as a Tool to Investigate Hypoxia-Induced Protein-Protein Interaction in Living Cells
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    Chapter 6 Transcriptional Profiling Using RNA-Seq to Study Hypoxia-Mediated Gene Regulation
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    Chapter 7 Chromatin Immunoprecipitation of HIF-α in Breast Tumor Cells Using Wild Type and Loss of Function Models
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    Chapter 8 Evaluating the Metabolic Impact of Hypoxia on Pancreatic Cancer Cells
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    Chapter 9 Hypoxia-Induced Metabolomic Alterations in Pancreatic Cancer Cells
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    Chapter 10 Hypoxia-Mediated In Vivo Tumor Glucose Uptake Measurement and Analysis
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    Chapter 11 Measurement of Sensory Nerve Activity from the Carotid Body
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    Chapter 12 Monitoring Functional Responses to Hypoxia in Single Carotid Body Cells
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    Chapter 13 Testing Acute Oxygen Sensing in Genetically Modified Mice: Plethysmography and Amperometry
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    Chapter 14 Immunohistochemistry of the Carotid Body
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    Chapter 15 Hypoxia Signaling and Placental Adaptations
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    Chapter 16 Evaluation of Erythrocyte Changes After Normoxic Return from Hypoxia
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    Chapter 17 Hypoxic Treatment of Zebrafish Embryos and Larvae
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    Chapter 18 Microinjection of Antisense Morpholinos, CRISPR/Cas9 RNP, and RNA/DNA into Zebrafish Embryos
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    Chapter 19 Western Blot Analysis of C. elegans Proteins
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    Chapter 20 In Vivo Manipulation of HIF-1α Expression During Glioma Genesis
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    Chapter 21 In Vitro Assays of Breast Cancer Stem Cells
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    Chapter 22 Fluorescence-Activated Cell Sorting of Murine Mammary Cancer Stem-Like Cell Subpopulations with HIF Activity
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    Chapter 23 Evaluation of Macrophage Polarization in Pancreatic Cancer Microenvironment Under Hypoxia
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    Chapter 24 Detection of Hypoxia and HIF in Paraffin-Embedded Tumor Tissues
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    Chapter 25 Analysis of Hypoxia and the Hypoxic Response in Tumor Xenografts
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    Chapter 26 Correlation of Glioma Proliferation and Hypoxia by Luciferase, Magnetic Resonance, and Positron Emission Tomography Imaging
Attention for Chapter 9: Hypoxia-Induced Metabolomic Alterations in Pancreatic Cancer Cells
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Chapter title
Hypoxia-Induced Metabolomic Alterations in Pancreatic Cancer Cells
Chapter number 9
Book title
Hypoxia
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7665-2_9
Pubmed ID
Book ISBNs
978-1-4939-7664-5, 978-1-4939-7665-2
Authors

Venugopal Gunda, Sushil Kumar, Aneesha Dasgupta, Pankaj K. Singh

Abstract

Hypoxic conditions in the pancreatic tumor microenvironment lead to the stabilization of hypoxia-inducible factor-1 alpha (HIF-1α), which acts as the master regulator of cancer cell metabolism. HIF-1α-mediated metabolic reprogramming results in large-scale metabolite perturbations. Characterization of the metabolic intermediates and the corresponding metabolic pathways altered by HIF-1α would facilitate the identification of therapeutic targets for hypoxic microenvironments prevalent in pancreatic ductal adenocarcinoma and other solid tumors. Targeted metabolomic approaches are versatile in quantifying multiple metabolite levels in a single platform and, thus, enable the characterization of multiple metabolite alterations regulated by HIF-1α. In this chapter, we describe a detailed metabolomic approach for characterizing the hypoxia-induced metabolomic alterations using pancreatic cancer cell lines cultured in normoxic and hypoxic conditions. We elaborate the methodology of cell culture, hypoxic exposure, metabolite extraction, and relative quantification of polar metabolites from normoxia- and hypoxia-exposed cell extracts, using a liquid chromatography-coupled tandem mass spectrometry approach. Herein, using our metabolomic data, we also present the methods for metabolomic data representation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Researcher 3 15%
Student > Bachelor 3 15%
Unspecified 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 6 30%
Readers by discipline Count As %
Medicine and Dentistry 5 25%
Biochemistry, Genetics and Molecular Biology 3 15%
Agricultural and Biological Sciences 2 10%
Chemistry 2 10%
Psychology 1 5%
Other 1 5%
Unknown 6 30%