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RNAi and Small Regulatory RNAs in Stem Cells

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Cover of 'RNAi and Small Regulatory RNAs in Stem Cells'

Table of Contents

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    Book Overview
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    Chapter 1 RNAi Technique in Stem Cell Research: Current Status and Future Perspectives
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    Chapter 2 RNAi and MicroRNA-Mediated Gene Regulation in Stem Cells
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    Chapter 3 Forward RNAi Screens in Human Hematopoietic Stem Cells
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    Chapter 4 Silencing of ATP11B by RNAi-Induced Changes in Neural Stem Cell Morphology
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    Chapter 5 High-Efficiency Transfection of Glioblastoma Cells and a Simple Spheroid Migration Assay
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    Chapter 6 Construction and Application of Random dsRNA Interference Library for Functional Genetic Screens in Embryonic Stem Cells
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    Chapter 7 Efficient Depletion of Essential Gene Products for Loss-of-Function Studies in Embryonic Stem Cells
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    Chapter 8 Regulation and/or Repression of Cholinergic Differentiation of Murine Embryonic Stem Cells Using RNAi Directed Against Transcription Factor L3/Lhx8
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    Chapter 9 A Recessive Genetic Screen for Components of the RNA Interference Pathway Performed in Mouse Embryonic Stem Cells
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    Chapter 10 RNAi Knockdown of Ape1 Gene in the Differentiation of Mouse Embryonic Stem Cells
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    Chapter 11 An Efficient Transfection Method for Differentiation and Cell Proliferation of Mouse Embryonic Stem Cells
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    Chapter 12 Implanting Glioblastoma Spheroids into Rat Brains and Monitoring Tumor Growth by MRI Volumetry
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    Chapter 13 RNAi-Based Techniques for the Analysis of Gene Function in Drosophila Germline Stem Cells
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    Chapter 14 In vivo RNAi in the Drosophila Follicular Epithelium: Analysis of Stem Cell Maintenance, Proliferation, and Differentiation
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    Chapter 15 A Phenotype-Based RNAi Screening for Ras-ERK/MAPK Signaling-Associated Stem Cell Regulators in C. elegans
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    Chapter 16 Engineering Human Mesenchymal Stem Cells to Release Adenosine Using miRNA Technology
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    Chapter 17 Efficient Gene Knockdowns in Mouse Embryonic Stem Cells Using MicroRNA-Based shRNAs
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    Chapter 18 Using Quantitative Real-Time PCR to Detect MicroRNA Expression Profile During Embryonic Stem Cell Differentiation
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    Chapter 19 Genetic Tools for Self-Organizing Culture of Mouse Embryonic Stem Cells via Small Regulatory RNA-Mediated Technologies, CRISPR/Cas9, and Inducible RNAi
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    Chapter 20 CRISPR-Cas9-Mediated Gene Editing in Mouse Spermatogonial Stem Cells
Attention for Chapter 12: Implanting Glioblastoma Spheroids into Rat Brains and Monitoring Tumor Growth by MRI Volumetry
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Chapter title
Implanting Glioblastoma Spheroids into Rat Brains and Monitoring Tumor Growth by MRI Volumetry
Chapter number 12
Book title
RNAi and Small Regulatory RNAs in Stem Cells
Published in
Methods in molecular biology, July 2017
DOI 10.1007/978-1-4939-7108-4_12
Pubmed ID
Book ISBNs
978-1-4939-7106-0, 978-1-4939-7108-4
Authors

Mario Löhr, Thomas Linsenmann, Anna Jawork, Almuth F. Kessler, Nils Timmermann, György A. Homola, Ralf-Ingo Ernestus, Carsten Hagemann

Editors

Baohong Zhang

Abstract

The outcome of patients suffering from glioblastoma multiforme (GBM) remains poor with a median survival of less than 15 months. To establish innovative therapeutical approaches or to analyze the effect of protein overexpression or protein knockdown by RNA interference in vivo, animal models are mandatory. Here, we describe the implantation of C6 glioma spheroids into the rats' brain and how to follow tumor growth by MRI scans. We show that C6 cells grown in Sprague-Dawley rats share several morphologic features of human glioblastoma like pleomorphic cells, areas of necrosis, vascular proliferation, and tumor cell invasion into the surrounding brain tissue. In addition, we describe a method for tumor volumetry utilizing the CISS 3D- or contrast-enhanced T1-weighted 3D sequence and freely available post-processing software.

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 3 43%
Unspecified 1 14%
Professor > Associate Professor 1 14%
Student > Bachelor 1 14%
Researcher 1 14%
Other 0 0%
Readers by discipline Count As %
Unspecified 1 14%
Biochemistry, Genetics and Molecular Biology 1 14%
Mathematics 1 14%
Agricultural and Biological Sciences 1 14%
Physics and Astronomy 1 14%
Other 2 29%