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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
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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 3: Forward RNAi Screens in Human Hematopoietic Stem Cells
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Chapter title
Forward RNAi Screens in Human Hematopoietic Stem Cells
Chapter number 3
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_3
Pubmed ID
Book ISBNs
978-1-4939-7106-0, 978-1-4939-7108-4
Authors

Galeev, Roman, Karlsson, Christine, Baudet, Aurélie, Larsson, Jonas, Roman Galeev, Christine Karlsson, Aurélie Baudet, Jonas Larsson

Editors

Baohong Zhang

Abstract

Identifying the genes and pathways that regulate self-renewal and differentiation in somatic stem cells is a central goal in stem cell and cancer biology. Here, we describe a method for RNA interference (RNAi)-based screens combined with next-generation sequencing (NGS) in primary human hematopoietic stem and progenitor cells (HSPCs). These cells are suitable targets for complex, selection-based screens using pooled lentiviral short hairpin RNA (shRNA) libraries. The screening approach presented in this chapter is a promising tool to dissect regulatory mechanisms in hematopoietic stem cells (HSCs) and somatic stem cells in general, and may be particularly useful to identify gene targets and modifiers that can be further exploited in strategies for ex vivo stem cell expansion.

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X Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Researcher 1 20%
Professor > Associate Professor 1 20%
Other 0 0%
Readers by discipline Count As %
Medicine and Dentistry 2 40%
Biochemistry, Genetics and Molecular Biology 1 20%
Immunology and Microbiology 1 20%
Nursing and Health Professions 1 20%
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
#17,902,783
of 22,985,065 outputs
Outputs from Methods in molecular biology
#7,270
of 13,149 outputs
Outputs of similar age
#225,030
of 313,616 outputs
Outputs of similar age from Methods in molecular biology
#140
of 264 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 39th percentile – i.e., 39% 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 313,616 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% 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 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.