↓ Skip to main content

MicroRNA Protocols

Overview of attention for book
Cover of 'MicroRNA Protocols'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The MicroRNA
  3. Altmetric Badge
    Chapter 2 Analysis of MicroRNA Length Variety Generated by Recombinant Human Dicer
  4. Altmetric Badge
    Chapter 3 A User-Friendly Computational Workflow for the Analysis of MicroRNA Deep Sequencing Data
  5. Altmetric Badge
    Chapter 4 The RNA Gene Information: Retroelement-MicroRNA Entangling as the RNA Quantum Code
  6. Altmetric Badge
    Chapter 5 Setting Up an Intronic miRNA Database
  7. Altmetric Badge
    Chapter 6 Identify Intronic MicroRNA with Bioinformatics
  8. Altmetric Badge
    Chapter 7 Experimental miRNA Target Validation
  9. Altmetric Badge
    Chapter 8 Enrichment Analysis of miRNA Targets
  10. Altmetric Badge
    Chapter 9 MicroRNA Expression Profiling During Neural Differentiation of Mouse Embryonic Carcinoma P19 Cells.
  11. Altmetric Badge
    Chapter 10 Evaluating the MicroRNA Targeting Sites by Luciferase Reporter Gene Assay.
  12. Altmetric Badge
    Chapter 11 Expression Pattern Analysis of MicroRNAs in Caenorhabditis elegans
  13. Altmetric Badge
    Chapter 12 Use of Viral Systems to Study miRNA-Mediated Regulation of Gene Expression in Human Cells.
  14. Altmetric Badge
    Chapter 13 Cloning, Expression, and Functional Analysis of Genomic miRNA Using Retroviral System in Cancer Cells
  15. Altmetric Badge
    Chapter 14 Preparing Synaptoneurosomes from Adult Mouse Forebrain
  16. Altmetric Badge
    Chapter 15 Isolation of Total RNA and Detection Procedures for miRNA Present in Bovine-Cultured Adipocytes and Adipose Tissues
  17. Altmetric Badge
    Chapter 16 miRNA and shRNA Expression Vectors Based on mRNA and miRNA Processing.
  18. Altmetric Badge
    Chapter 17 Gene Silencing In Vitro and In Vivo Using Intronic MicroRNAs.
  19. Altmetric Badge
    Chapter 18 Vector-Free Methods for Manipulating miRNA Activity In Vitro and In Vivo
  20. Altmetric Badge
    Chapter 19 MicroRNA Expression Profiling of Human-Induced Pluripotent and Embryonic Stem Cells
  21. Altmetric Badge
    Chapter 20 MicroRNA Expression During Neuronal Differentiation of Human Teratocarcinoma NTera2D1 and Mouse Embryonic Carcinoma P19 Cells
  22. Altmetric Badge
    Chapter 21 Isolation and Identification of Gene-Specific MicroRNAs
  23. Altmetric Badge
    Chapter 22 Transgene-Like Animal Models Using Intronic MicroRNAs.
  24. Altmetric Badge
    Chapter 23 Mechanism and Method for Generating Tumor-Free iPS Cells Using Intronic MicroRNA miR-302 Induction.
  25. Altmetric Badge
    Chapter 24 Salivary MicroRNAs and Oral Cancer Detection
  26. Altmetric Badge
    Chapter 25 Application of Intronic MicroRNA Agents in Cosmetics
  27. Altmetric Badge
    Chapter 26 MicroRNAs in Skin and Wound Healing
  28. Altmetric Badge
    Chapter 27 MiRNA Targets of Prostate Cancer.
Attention for Chapter 22: Transgene-Like Animal Models Using Intronic MicroRNAs.
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
9 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Transgene-Like Animal Models Using Intronic MicroRNAs.
Chapter number 22
Book title
MicroRNA Protocols
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-083-0_22
Pubmed ID
Book ISBNs
978-1-62703-082-3, 978-1-62703-083-0
Authors

Shi-Lung Lin, Shin-Ju E. Chang, Shao-Yao Ying, Lin, Shi-Lung, Chang, Shin-Ju E., Ying, Shao-Yao

Abstract

Transgenic animal models are valuable tools for testing gene functions and drug mechanisms in vivo. They are also the best similitude for a human body for etiological and pathological research of diseases. All pharmaceutically developed drugs must be proven to be safe and effective in animals before approval by the Food and Drug Administration to be used in clinical trials. To this end, the transgenic animal models of diseases serve as the front line of drug evaluation. However, there is currently no transgenic animal model for microRNA (miRNA) research. miRNAs, small single-stranded regulatory RNAs capable of silencing intracellular gene transcripts (mRNAs) that contain either complete or partial complementarity to the miRNA, are useful for the design of new therapies against cancer polymorphism and viral mutation. Recently, varieties of natural miRNAs have been found to derived from hairpin-like RNA precursors in almost all eukaryotes, including yeast (Schizosaccharomyces pombe), plant (Arabidopsis spp.), nematode (Caenorhabditis elegans), fly (Drosophila melanogaster), fish, mouse, and human, involving intracellular defense against viral infections and regulation of certain gene expressions during development. To facilitate the miRNA research in vivo, we have developed a state-of-the-art transgenic strategy for silencing specific genes in zebrafish, chicken, and mouse, using intronic miRNAs. By insertion of a hairpin-like pre-miRNA structure into the intron region of a gene, we have found that mature miRNAs were successfully transcribed by RNA polymerases type II (Pol II), coexpressed with the encoding gene transcript, and excised out of the encoding gene transcript by natural RNA splicing and processing mechanisms. In conjunction with retroviral transfection systems, the designed hairpin-like pre-miRNA construct was further tested to insert into the intron regions of a cellular gene for tissue-specific expression regulated by the gene promoter. Because the retroviral vectors were randomly integrated into the genome of its host cell, the most effective transgenic animal can be selected and propagated to be a stable transgenic line for future research. Here, we have shown for the first time that transgene-like animal models were generated using the intronic miRNA-expressing system described previously, which has been proven to be useful for both miRNA research and in vivo evaluation of miRNA-associated target gene functions.

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 22%
Researcher 2 22%
Other 1 11%
Professor 1 11%
Student > Doctoral Student 1 11%
Other 2 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 89%
Biochemistry, Genetics and Molecular Biology 1 11%
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 26 September 2012.
All research outputs
#18,316,001
of 22,679,690 outputs
Outputs from Methods in molecular biology
#7,826
of 13,038 outputs
Outputs of similar age
#217,909
of 280,619 outputs
Outputs of similar age from Methods in molecular biology
#219
of 339 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,038 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 280,619 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 339 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.