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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

  1. Altmetric Badge
    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 13: RNAi-Based Techniques for the Analysis of Gene Function in Drosophila Germline Stem Cells
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  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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Chapter title
RNAi-Based Techniques for the Analysis of Gene Function in Drosophila Germline Stem Cells
Chapter number 13
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_13
Pubmed ID
Book ISBNs
978-1-4939-7106-0, 978-1-4939-7108-4
Authors

Amelia J. Blake, Danielle S. Finger, Victoria L. Hardy, Elizabeth T. Ables, Blake, Amelia J., Finger, Danielle S., Hardy, Victoria L., Ables, Elizabeth T.

Editors

Baohong Zhang

Abstract

Elucidating the full repertoire of molecular mechanisms that promote stem cell maintenance requires sophisticated techniques for identifying and characterizing gene function in stem cells in their native environment. Ovarian germline stem cells in the fruit fly, Drosophila melanogaster, are an ideal model to study the complex molecular mechanisms driving stem cell function in vivo. A variety of new genetic tools make RNAi a useful complement to traditional genetic mutants for the investigation of the molecular mechanisms guiding ovarian germline stem cell function. Here, we provide a detailed guide for using targeted RNAi knockdown for the discovery of gene function in ovarian germline stem cells and their progeny.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 35%
Student > Ph. D. Student 6 15%
Student > Master 3 8%
Librarian 1 3%
Student > Doctoral Student 1 3%
Other 3 8%
Unknown 12 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 45%
Agricultural and Biological Sciences 4 10%
Immunology and Microbiology 2 5%
Unspecified 1 3%
Business, Management and Accounting 1 3%
Other 3 8%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 July 2017.
All research outputs
#5,799,012
of 22,986,950 outputs
Outputs from Methods in molecular biology
#1,636
of 13,149 outputs
Outputs of similar age
#91,337
of 313,617 outputs
Outputs of similar age from Methods in molecular biology
#17
of 264 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,149 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 86% 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 313,617 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 70% of its contemporaries.
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 has done particularly well, scoring higher than 92% of its contemporaries.