↓ 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 -1597451230 The MicroRNA: Overview of the RNA Gene That Modulates Gene Functions
  3. Altmetric Badge
    Chapter -1597451212 Structure Analysis of MicroRNA Precursors
  4. Altmetric Badge
    Chapter -1597451198 MicroRNA biogenesis: isolation and characterization of the microprocessor complex.
  5. Altmetric Badge
    Chapter -1597451182 Recognition and cleavage of primary microRNA transcripts.
  6. Altmetric Badge
    Chapter -1597451174 Mouse Embryonic Stem Cells as a Model Genetic System to Dissect and Exploit the RNA Interference Machinery
  7. Altmetric Badge
    Chapter -1597451158 MicroRNAs and Messenger RNA Turnover
  8. Altmetric Badge
    Chapter -1597451144 Prediction of MicroRNA Targets
  9. Altmetric Badge
    Chapter -1597451130 Prediction of Human MicroRNA Targets
  10. Altmetric Badge
    Chapter -1597451116 Complications in Mammalian MicroRNA Target Prediction
  11. Altmetric Badge
    Chapter -1597451102 miRBase: the microRNA sequence database.
  12. Altmetric Badge
    Chapter -1597451092 Methodologies for High-Throughput Expression Profiling of MicroRNAs
  13. Altmetric Badge
    Chapter -1597451072 In Situ Hybridization as a Tool to Study the Role of MicroRNAs in Plant Development
  14. Altmetric Badge
    Chapter -1597451050 Usefulness of the Luciferase Reporter System to Test the Efficacy of siRNA
  15. Altmetric Badge
    Chapter -1597451042 Cloning MicroRNAs From Mammalian Tissues
  16. Altmetric Badge
    Chapter -1597451022 Methods for Analyzing MicroRNA Expression and Function During Hematopoietic Lineage Differentiation
  17. Altmetric Badge
    Chapter -1597451002 Identifying MicroRNA Regulators of Cell Death in Drosophila
  18. Altmetric Badge
    Chapter -1597450990 MicroRNAs in Human Immunodeficiency Virus-1 Infection
  19. Altmetric Badge
    Chapter -1597450976 Cloning and Detection of HIV-1-Encoded MicroRNA
  20. Altmetric Badge
    Chapter -1597450964 Identification of Messenger RNAs and MicroRNAs Associated With Fragile X Mental Retardation Protein
  21. Altmetric Badge
    Chapter -1597450954 In Vitro Precursor MicroRNA Processing Assays Using Drosophila Schneider-2 Cell Lysates
  22. Altmetric Badge
    Chapter -1597450944 Downregulation of human Cdc6 protein using a lentivirus RNA interference expression vector.
  23. Altmetric Badge
    Chapter -1597450936 Gene Silencing In Vitro and In Vivo Using Intronic MicroRNAs
  24. Altmetric Badge
    Chapter -1597450918 Isolation and Identification of Gene-Specific MicroRNAs
  25. Altmetric Badge
    Chapter -1597450910 Transgene-like animal models using intronic microRNAs.
  26. Altmetric Badge
    Chapter -1597450896 Evolution of MicroRNAs
  27. Altmetric Badge
    Chapter -1597450880 Perspectives
Attention for Chapter -1597450910: Transgene-like animal models using intronic microRNAs.
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
26 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 -1597450910
Book title
MicroRNA Protocols
Published in
Methods in molecular biology, December 2005
DOI 10.1385/1-59745-123-1:321
Pubmed ID
Book ISBNs
978-1-58829-581-1, 978-1-59745-123-9
Authors

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

Abstract

Transgenic animal models are valuable tools for testing gene functions and drug mechanisms in vivo. They are also the best similitude of a human body for etiological and pathological research of diseases. All pharmaceutically developed drugs must be proven 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 human diseases serve as a front line for 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 that contain either complete or partial complementarity to the miRNAs, are useful for the design and development of new therapies against cancer polymorphism and viral mutation. Recently, varieties of natural miRNAs have been found to be derived from hairpin-like RNA precursors in almost all eukaryotes, including yeast (Schizosaccharomyces pombe), plant (Arabidopsis), 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 polymerase (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 hairpin-like pre-miRNA construct was further inserted into the intron 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 genes.

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

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 42%
Professor 4 15%
Other 2 8%
Professor > Associate Professor 2 8%
Student > Ph. D. Student 2 8%
Other 2 8%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 54%
Biochemistry, Genetics and Molecular Biology 5 19%
Computer Science 2 8%
Immunology and Microbiology 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 3 12%
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 07 October 2012.
All research outputs
#18,316,001
of 22,679,690 outputs
Outputs from Methods in molecular biology
#7,829
of 13,039 outputs
Outputs of similar age
#146,461
of 153,641 outputs
Outputs of similar age from Methods in molecular biology
#25
of 34 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 13,039 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 153,641 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.