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RNAi and Small Regulatory RNAs in Stem Cells

Overview of attention for book
Cover of 'RNAi and Small Regulatory RNAs in Stem Cells'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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 5: High-Efficiency Transfection of Glioblastoma Cells and a Simple Spheroid Migration Assay
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Chapter title
High-Efficiency Transfection of Glioblastoma Cells and a Simple Spheroid Migration Assay
Chapter number 5
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_5
Pubmed ID
Book ISBNs
978-1-4939-7106-0, 978-1-4939-7108-4
Authors

Hagemann, Carsten, Amend, Diana, Kessler, Almuth F., Linsenmann, Thomas, Ernestus, Ralf-Ingo, Löhr, Mario, Carsten Hagemann, Diana Amend, Almuth F. Kessler, Thomas Linsenmann, Ralf-Ingo Ernestus, Mario Löhr

Editors

Baohong Zhang

Abstract

Despite international research efforts, patients with glioblastoma multiforme (GBM)-the most common malignant brain tumors in adults-exhibit a very unfavorable prognosis. Their aggressive local growth pattern and increased invasiveness, due to a high motility of the tumor cells, hamper treatment. However, the molecular mechanisms regulating glioblastoma cell migration are still elusive. Here, we describe the combination of a highly efficient cell transfection by Nucleofection(®) technology and the generation of spheroids from these transfected glioblastoma cell lines. Nucleofection allows the manipulation of protein expression by overexpression and siRNA mediated protein knockdown. Transfection efficiencies >70% can be achieved with some GBM cell lines. Transfected neurospheres then can be used for migration assays (as described here in detail) and a multitude of other functional assays. In comparison to monolayer cultures, the advantage of spheroids is their resemblance with organized tissue in combination with the accuracy of in vitro methodology and marked experimental flexibility.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 25%
Other 2 17%
Professor > Associate Professor 1 8%
Student > Ph. D. Student 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 3 25%
Readers by discipline Count As %
Medicine and Dentistry 4 33%
Biochemistry, Genetics and Molecular Biology 2 17%
Nursing and Health Professions 1 8%
Agricultural and Biological Sciences 1 8%
Chemistry 1 8%
Other 0 0%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 July 2017.
All research outputs
#15,467,628
of 22,985,065 outputs
Outputs from Methods in molecular biology
#5,379
of 13,149 outputs
Outputs of similar age
#197,345
of 313,617 outputs
Outputs of similar age from Methods in molecular biology
#93
of 264 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,149 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 313,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 264 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.