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Mouse Models for Drug Discovery

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Cover of 'Mouse Models for Drug Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Genetically Defined Strains in Drug Development and Toxicity Testing.
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    Chapter 2 Mouse Models for Drug Discovery
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    Chapter 3 Mouse Models for Drug Discovery
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    Chapter 4 Mouse Models for Drug Discovery
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    Chapter 5 Mouse Models for Drug Discovery
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    Chapter 6 Human FcRn Transgenic Mice for Pharmacokinetic Evaluation of Therapeutic Antibodies.
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    Chapter 7 A Humanized Mouse Model to Study Human Albumin and Albumin Conjugates Pharmacokinetics.
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    Chapter 8 Mouse Models for Drug Discovery
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    Chapter 9 Bridging Mice to Men: Using HLA Transgenic Mice to Enhance the Future Prediction and Prevention of Autoimmune Type 1 Diabetes in Humans.
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    Chapter 10 Mouse Models of Type 2 Diabetes Mellitus in Drug Discovery.
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    Chapter 11 Cholesterol Absorption and Metabolism.
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    Chapter 12 Skin Diseases in Laboratory Mice: Approaches to Drug Target Identification and Efficacy Screening.
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    Chapter 13 Chronic Myeloid Leukemia (CML) Mouse Model in Translational Research.
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    Chapter 14 Murine Model for Colitis-Associated Cancer of the Colon.
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    Chapter 15 Mouse Models for Drug Discovery
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    Chapter 16 Mouse Models for Drug Discovery
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    Chapter 17 Repetitive Behavioral Assessments for Compound Screening in Mouse Models of Autism Spectrum Disorders.
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    Chapter 18 Mouse Models for Drug Discovery
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    Chapter 19 Mouse Models for Drug Discovery
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    Chapter 20 Mouse Models for Drug Discovery
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    Chapter 21 Mouse Models for Drug Discovery
Attention for Chapter 13: Chronic Myeloid Leukemia (CML) Mouse Model in Translational Research.
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Chapter title
Chronic Myeloid Leukemia (CML) Mouse Model in Translational Research.
Chapter number 13
Book title
Mouse Models for Drug Discovery
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3661-8_13
Pubmed ID
Book ISBNs
978-1-4939-3659-5, 978-1-4939-3661-8
Authors

Cong Peng, Shaoguang Li

Editors

Gabriele Proetzel, Michael V. Wiles

Abstract

Chronic myeloid leukemia (CML) is a myeloproliferative disorder characterized by increased proliferation of granulocytic cells without the loss of their capability to differentiate. CML is a clonal disease, originated at the level of Hematopoietic Stem Cells with the Philadelphia chromosome resulting from a reciprocal translocation between the chromosomes 9 and 22t(9;22)-(q34;q11). This translocation produces a fusion gene known as BCR-ABL which acquires uncontrolled tyrosine kinase activity, constantly turning on its downstream signaling molecules/pathways, and promoting proliferation of leukemia cell through anti-apoptosis and acquisition of additional mutations. To evaluate the role of each critical downstream signaling molecule of BCR-ABL and test therapeutic drugs in vivo, it is important to use physiological mouse disease models. Here, we describe a mouse model of CML induced by BCR-ABL retrovirus (MSCV-BCR-ABL-GFP; MIG-BCR-ABL) and how to use this model in translational research.Moreover, to expand the application of this retrovirus induced CML model in a lot of conditional knockout mouse strain, we modified this vector to a triple gene coexpression vector in which we can co-express BCR-ABL, GFP, and a third gene which will be tested in different systems. To apply this triple gene system in conditional gene knockout strains, we can validate the CML development in the knockout mice and trace the leukemia cell following the GFP marker. In this protocol, we also describe how we utilize this triple gene system to prove the function of Pten as a tumor suppressor in leukemogenesis. Overall, this triple gene system expands our research spectrum in current conditional gene knockout strains and benefits our CML translational research.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 18%
Student > Master 3 18%
Student > Bachelor 3 18%
Student > Ph. D. Student 2 12%
Other 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 18%
Agricultural and Biological Sciences 2 12%
Immunology and Microbiology 2 12%
Medicine and Dentistry 2 12%
Business, Management and Accounting 1 6%
Other 3 18%
Unknown 4 24%