Title |
From Gene Targeting to Genome Editing: Transgenic animals applications and beyond
|
---|---|
Published in |
Anais da Academia Brasileira de Ciências, August 2015
|
DOI | 10.1590/0001-3765201520140710 |
Pubmed ID | |
Authors |
Maurício Rocha-Martins, Gabriel R Cavalheiro, Gabriel E Matos-Rodrigues, Rodrigo A P Martins |
Abstract |
Genome modification technologies are powerful tools for molecular biology and related areas. Advances in animal transgenesis and genome editing technologies during the past three decades allowed systematic interrogation of gene function that can help model how the genome influences cellular physiology. Genetic engineering via homologous recombination (HR) has been the standard method to modify genomic sequences. Nevertheless, nuclease-guided genome editing methods that were developed recently, such as ZFN, TALEN and CRISPR/Cas, opened new perspectives for biomedical research. Here, we present a brief historical perspective of genome modification methods, focusing on transgenic mice models. Moreover, we describe how new techniques were discovered and improved, present the paradigm shifts and discuss their limitations and applications for biomedical research as well as possible future directions. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Indonesia | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Denmark | 1 | <1% |
Unknown | 171 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 49 | 28% |
Student > Master | 24 | 14% |
Student > Ph. D. Student | 22 | 13% |
Researcher | 15 | 9% |
Student > Doctoral Student | 7 | 4% |
Other | 20 | 12% |
Unknown | 35 | 20% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 54 | 31% |
Agricultural and Biological Sciences | 42 | 24% |
Immunology and Microbiology | 6 | 3% |
Neuroscience | 6 | 3% |
Medicine and Dentistry | 5 | 3% |
Other | 21 | 12% |
Unknown | 38 | 22% |