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Glioblastoma

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Cover of 'Glioblastoma'

Table of Contents

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    Book Overview
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    Chapter 1 Whole Genome Sequencing-Based Discovery of Structural Variants in Glioblastoma
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    Chapter 2 Whole Genome DNA Methylation Analysis of Human Glioblastoma Using Illumina BeadArrays
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    Chapter 3 Establishing Primary Human Glioblastoma Adherent Cultures from Operative Specimens
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    Chapter 4 Establishing Primary Human Glioblastoma Tumorsphere Cultures from Operative Specimens
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    Chapter 5 Isolation of Glioblastoma Stem Cells with Flow Cytometry
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    Chapter 6 Lentiviral Transduction of Primary Human Glioblastoma Cultures
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    Chapter 7 Selective Targeting of CD133-Expressing Glioblastoma Stem Cells Using Lentiviral Vectors
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    Chapter 8 Intracellular pH Measurements in Glioblastoma Cells Using the pH-Sensitive Dye BCECF
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    Chapter 9 Induction and Assessment of Hypoxia in Glioblastoma Cells In Vitro
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    Chapter 10 Metabolomic Analysis of Glioma Cells Using Nanoflow Liquid Chromatography–Tandem Mass Spectrometry
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    Chapter 11 Sample Preparation for Relative Quantitation of Proteins Using Tandem Mass Tags (TMT) and Mass Spectrometry (MS)
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    Chapter 12 Single-Cell RNA Sequencing of Glioblastoma Cells
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    Chapter 13 Evaluation of Radioresponse and Radiosensitizers in Glioblastoma Organotypic Cultures
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    Chapter 14 Orthotopic Patient-Derived Glioblastoma Xenografts in Mice
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    Chapter 15 Bioluminescent In Vivo Imaging of Orthotopic Glioblastoma Xenografts in Mice
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    Chapter 16 Evaluation of Vascularity, Blood Perfusion, and Oxygen Tension in Tumor Xenografts with Fluorescent Microscopy
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    Chapter 17 Probing Glioblastoma Tissue Heterogeneity with Laser Capture Microdissection
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    Chapter 18 Flow Cytometric Identification of Tumor-Infiltrating Lymphocytes from Glioblastoma
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    Chapter 19 Modeling Glioma with Human Embryonic Stem Cell-Derived Neural Lineages
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Title
Glioblastoma
Published by
Humana Press, New York, NY, March 2018
DOI 10.1007/978-1-4939-7659-1
ISBNs
978-1-4939-7658-4, 978-1-4939-7659-1
Editors

Dimitris G. Placantonakis

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 33%
Student > Ph. D. Student 4 27%
Student > Master 3 20%
Student > Postgraduate 1 7%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 40%
Agricultural and Biological Sciences 2 13%
Immunology and Microbiology 2 13%
Chemistry 1 7%
Unknown 4 27%