Literature DB >> 20677136

Genetically modified animals for use in research and biotechnology.

L M Chaible1, M A Corat, E Abdelhay, M L Z Dagli.   

Abstract

Transgenic animals are used extensively in the study of in vivo gene function, as models for human diseases and in the production of biopharmaceuticals. The technology behind obtaining these animals involves molecular biology techniques, cell culture and embryo manipulation; the mouse is the species most widely used as an experimental model. In scientific research, diverse models are available as tools for the elucidation of gene function, such as transgenic animals, knockout and conditional knockout animals, knock-in animals, humanized animals, and knockdown animals. We examined the evolution of the science for the development of these animals, as well as the techniques currently used in obtaining these animal models. We review the phenotypic techniques used for elucidation of alterations caused by genetic modification. We also investigated the role of genetically modified animals in the biotechnology industry, where they promise a revolution in obtaining heterologous proteins through natural secretions, such as milk, increasing the scale of production and facilitating purification, thereby lowering the cost of production of hormones, growth factors and enzymes.

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Year:  2010        PMID: 20677136     DOI: 10.4238/vol9-3gmr867

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  10 in total

1.  Localized all-cell knock-out (LACKO) strategy is needed for studying adult stage diseases.

Authors:  Xiaolan Du; Ying Zhu; Fengtao Luo; Lin Chen
Journal:  Transgenic Res       Date:  2012-06-14       Impact factor: 2.788

2.  The Mouse Tumor Biology Database (MTB): a central electronic resource for locating and integrating mouse tumor pathology data.

Authors:  D A Begley; D M Krupke; S B Neuhauser; J E Richardson; C J Bult; J T Eppig; J P Sundberg
Journal:  Vet Pathol       Date:  2011-01-31       Impact factor: 2.221

Review 3.  The use of lineage tracing to study kidney injury and regeneration.

Authors:  Paola Romagnani; Yuval Rinkevich; Benjamin Dekel
Journal:  Nat Rev Nephrol       Date:  2015-05-12       Impact factor: 28.314

4.  Identifying mouse models for skin cancer using the Mouse Tumor Biology Database.

Authors:  Dale A Begley; Debra M Krupke; Steven B Neuhauser; Joel E Richardson; Paul N Schofield; Carol J Bult; Janan T Eppig; John P Sundberg
Journal:  Exp Dermatol       Date:  2014-10       Impact factor: 3.960

Review 5.  Modeling prostate cancer in mice: limitations and opportunities.

Authors:  Patrick J Hensley; Natasha Kyprianou
Journal:  J Androl       Date:  2011-06-16

6.  Finding mouse models of human lymphomas and leukemia's using the Jackson laboratory mouse tumor biology database.

Authors:  Dale A Begley; John P Sundberg; Debra M Krupke; Steven B Neuhauser; Carol J Bult; Janan T Eppig; Herbert C Morse; Jerrold M Ward
Journal:  Exp Mol Pathol       Date:  2015-08-21       Impact factor: 3.362

7.  In vitro-differentiated neural cell cultures progress towards donor-identical brain tissue.

Authors:  Brooke E Hjelm; Bodour Salhia; Ahmet Kurdoglu; Szabolcs Szelinger; Rebecca A Reiman; Lucia I Sue; Thomas G Beach; Matthew J Huentelman; David W Craig
Journal:  Hum Mol Genet       Date:  2013-05-10       Impact factor: 6.150

Review 8.  Transgenic Strategies to Study Podocyte Loss and Regeneration.

Authors:  Duccio Lombardi; Laura Lasagni
Journal:  Stem Cells Int       Date:  2015-05-18       Impact factor: 5.443

9.  FAK-targeting PROTAC as a chemical tool for the investigation of non-enzymatic FAK function in mice.

Authors:  Hongying Gao; Chunwei Zheng; Jian Du; Yue Wu; Yonghui Sun; Chunsheng Han; Kehkooi Kee; Yu Rao
Journal:  Protein Cell       Date:  2020-07       Impact factor: 14.870

10.  A chemical approach for global protein knockdown from mice to non-human primates.

Authors:  Xiuyun Sun; Jun Wang; Xia Yao; Wen Zheng; Yang Mao; Tianlong Lan; Liguo Wang; Yonghui Sun; Xinyi Zhang; Qiuye Zhao; Jianguo Zhao; Rui-Ping Xiao; Xiuqin Zhang; Guangju Ji; Yu Rao
Journal:  Cell Discov       Date:  2019-02-05       Impact factor: 10.849

  10 in total

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