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MicroRNA Protocols

Overview of attention for book
Cover of 'MicroRNA Protocols'

Table of Contents

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    Book Overview
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    Chapter 1 The MicroRNA
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    Chapter 2 Target mRNA-Driven Biogenesis of Cognate MicroRNAs In Vitro
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    Chapter 3 Isolation of Viral-Infected Brain Regions for miRNA Profiling from Formalin-Fixed Paraffin-Embedded Tissues by Laser Capture Microdissection
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    Chapter 4 Isolation and Analysis of Exosomal MicroRNAs from Ovarian Follicular Fluid
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    Chapter 5 Profiling of MicroRNAs in the Biofluids of Livestock Species
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    Chapter 6 Exosomal MicroRNAs as Potential Biomarkers in Neuropsychiatric Disorders
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    Chapter 7 Identification and Validation of Potential Differential miRNA Regulation via Alternative Polyadenylation
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    Chapter 8 How to Explore the Function and Importance of MicroRNAs: MicroRNAs Expression Profile and Their Target/Pathway Prediction in Bovine Ovarian Cells
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    Chapter 9 Gene Silencing In Vitro and In Vivo Using Intronic MicroRNAs
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    Chapter 10 Mining Exosomal MicroRNAs from Human-Induced Pluripotent Stem Cells-Derived Cardiomyocytes for Cardiac Regeneration
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    Chapter 11 Quantitative Analysis of Precursors MicroRNAs and Their Respective Mature MicroRNAs in Cancer Exosomes Overtime
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    Chapter 12 Quantum Language of MicroRNA: Application for New Cancer Therapeutic Targets
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    Chapter 13 In Vitro Methods for Analyzing miRNA Roles in Cancer Cell Proliferation, Invasion, and Metastasis
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    Chapter 14 Isolation and Identification of Gene-Specific MicroRNAs
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    Chapter 15 Comprehensive Measurement of Gene Silencing Involving Endogenous MicroRNAs in Mammalian Cells
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    Chapter 16 Screening miRNA for Functional Significance by 3D Cell Culture System
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    Chapter 17 Neonatal Rat Cardiomyocytes Isolation, Culture, and Determination of MicroRNAs’ Effects in Proliferation
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    Chapter 18 Gene Manipulation with Micro RNAs at Single-Human Cancer Cell
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    Chapter 19 Laser Capture Microdissection of Epithelium from a Wound Healing Model for MicroRNA Analysis
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    Chapter 20 Transgene-Like Animal Models Using Intronic MicroRNAs
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    Chapter 21 Application of TALE-Based Approach for Dissecting Functional MicroRNA-302/367 in Cellular Reprogramming
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    Chapter 22 Mechanism and Method for Generating Tumor-Free iPS Cells Using Intronic MicroRNA miR-302 Induction
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    Chapter 23 The miR-302-Mediated Induction of Pluripotent Stem Cells (iPSC): Multiple Synergistic Reprogramming Mechanisms
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    Chapter 24 Identification and Isolation of Novel Sugar-Like RNA Protecting Materials: Glycylglycerins from Pluripotent Stem Cells
Attention for Chapter 21: Application of TALE-Based Approach for Dissecting Functional MicroRNA-302/367 in Cellular Reprogramming
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Chapter title
Application of TALE-Based Approach for Dissecting Functional MicroRNA-302/367 in Cellular Reprogramming
Chapter number 21
Book title
MicroRNA Protocols
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7601-0_21
Pubmed ID
Book ISBNs
978-1-4939-7600-3, 978-1-4939-7601-0
Authors

Zhonghui Zhang, Wen-Shu Wu, Zhang, Zhonghui, Wu, Wen-Shu

Abstract

MicroRNAs are small 18-24 nt single-stranded noncoding RNA molecules involved in many biological processes, including stemness maintenance and cellular reprogramming. Current methods used in loss-of-function studies of microRNAs have several limitations. Here, we describe a new approach for dissecting miR-302/367 functions by transcription activator-like effectors (TALEs), which are natural effector proteins secreted by Xanthomonas and Ralstonia bacteria. Knockdown of the miR-302/367 cluster uses the Kruppel-associated box repressor domain fused with specific TALEs designed to bind the miR-302/367 cluster promoter. Knockout of the miR-302/367 cluster uses two pairs of TALE nucleases (TALENs) to delete the miR-302/367 cluster in human primary cells. Together, both TALE-based transcriptional repressor and TALENs are two promising approaches for loss-of-function studies of microRNA cluster in human primary cells.

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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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Ph. D. Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 25%
Agricultural and Biological Sciences 1 25%
Unknown 2 50%
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 01 January 2019.
All research outputs
#15,505,836
of 23,043,346 outputs
Outputs from Methods in molecular biology
#5,403
of 13,194 outputs
Outputs of similar age
#269,875
of 442,416 outputs
Outputs of similar age from Methods in molecular biology
#597
of 1,499 outputs
Altmetric has tracked 23,043,346 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 13,194 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.
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We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.