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Glioblastoma

Overview of attention for book
Cover of 'Glioblastoma'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  5. Altmetric Badge
    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
  18. Altmetric Badge
    Chapter 17 Probing Glioblastoma Tissue Heterogeneity with Laser Capture Microdissection
  19. Altmetric Badge
    Chapter 18 Flow Cytometric Identification of Tumor-Infiltrating Lymphocytes from Glioblastoma
  20. Altmetric Badge
    Chapter 19 Modeling Glioma with Human Embryonic Stem Cell-Derived Neural Lineages
Attention for Chapter 19: Modeling Glioma with Human Embryonic Stem Cell-Derived Neural Lineages
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Chapter title
Modeling Glioma with Human Embryonic Stem Cell-Derived Neural Lineages
Chapter number 19
Book title
Glioblastoma
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7659-1_19
Pubmed ID
Book ISBNs
978-1-4939-7658-4, 978-1-4939-7659-1
Authors

Aram S. Modrek, Jod Prado, Devin Bready, Joravar Dhaliwal, Danielle Golub, Dimitris G. Placantonakis, Modrek, Aram S., Prado, Jod, Bready, Devin, Dhaliwal, Joravar, Golub, Danielle, Placantonakis, Dimitris G.

Abstract

Gliomas are malignant primary tumors of the central nervous system. Their cell-of-origin is thought to be a neural progenitor or stem cell that acquires mutations leading to oncogenic transformation. Thanks to advances in human stem cell biology, it has become possible to derive human cell types that represent putative cells-of-origin in vitro and model the gliomagenesis process by systematically introducing genetic alterations in these human cells. Here, we present methods to derive human neural stem cells (NSCs) from human embryonic stem cells (hESCs). Because these NSCs are genetically unmodified at baseline, they can be used as a cellular platform to study the effects of individual oncogenic hits in a well-controlled manner in the backdrop of a human genetic background. We also present some key applications of these NSCs, which include their transduction with lentiviral vectors, their neuroglial differentiation and xenografting methods into immunocompromised mice to assess in vivo behavior.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 18%
Student > Master 2 9%
Student > Ph. D. Student 2 9%
Researcher 2 9%
Lecturer 1 5%
Other 1 5%
Unknown 10 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 14%
Neuroscience 3 14%
Medicine and Dentistry 3 14%
Computer Science 1 5%
Agricultural and Biological Sciences 1 5%
Other 1 5%
Unknown 10 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 January 2019.
All research outputs
#13,063,787
of 23,020,670 outputs
Outputs from Methods in molecular biology
#3,319
of 13,166 outputs
Outputs of similar age
#207,209
of 442,354 outputs
Outputs of similar age from Methods in molecular biology
#283
of 1,498 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,166 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,354 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.