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Mouse Models of Cancer

Overview of attention for book
Cover of 'Mouse Models of Cancer'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling Cancer Using Genetically Engineered Mice
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    Chapter 2 Lung Adenocarcinomas: Comparison Between Mice and Men
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    Chapter 3 Mouse Models of Breast Cancer
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    Chapter 4 Genetically Engineered Mouse Models to Study Prostate Cancer
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    Chapter 5 Practical Use of Advanced Mouse Models for Lung Cancer
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    Chapter 6 Generation and Analysis of Mouse Intestinal Tumors and Organoids Harboring APC and K-Ras Mutations
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    Chapter 7 Induction of Colorectal Cancer in Mice and Histomorphometric Evaluation of Tumors
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    Chapter 8 Mouse models of liver cancer.
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    Chapter 9 Current Methods in Mouse Models of Pancreatic Cancer
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    Chapter 10 Mouse Models of Nonmelanoma Skin Cancer
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    Chapter 11 Clinicopathological characterization of mouse models of melanoma.
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    Chapter 12 Modeling BCR/ABL-Driven Malignancies in the Mouse.
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    Chapter 13 Methods to generate genetically engineered mouse models of soft tissue sarcoma.
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    Chapter 14 Characterization of Mouse Model-Derived Osteosarcoma (OS) Cells In Vitro and In Vivo
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    Chapter 15 Genetically Engineered Mouse and Orthotopic Human Tumor Xenograft Models of Retinoblastoma
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    Chapter 16 Tumor imaging technologies in mouse models.
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    Chapter 17 Tumor angiogenesis: methods to analyze tumor vasculature and vessel normalization in mouse models of cancer.
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    Chapter 18 Transplantable mouse tumor models of breast cancer metastasis.
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    Chapter 19 Methods to Study Primary Tumor Cells and Residual Tumor Cells in Mouse Models of Oncogene Dependence
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    Chapter 20 Generation of Transgenic Mouse Model Using PTTG as an Oncogene.
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    Chapter 21 Modeling the Study of DNA Damage Responses in Mice
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    Chapter 22 Methods to study tumor surveillance using tumor cell transplantation into genetically engineered mice.
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9 tweeters


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Mouse Models of Cancer
Published by
Springer New York, January 2015
DOI 10.1007/978-1-4939-2297-0
978-1-4939-2296-3, 978-1-4939-2297-0

Eferl, Robert, Casanova, Emilio

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 <1%
Unknown 119 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 24%
Researcher 26 22%
Student > Master 14 12%
Student > Bachelor 11 9%
Student > Postgraduate 8 7%
Other 15 13%
Unknown 17 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 28%
Agricultural and Biological Sciences 20 17%
Medicine and Dentistry 13 11%
Pharmacology, Toxicology and Pharmaceutical Science 7 6%
Immunology and Microbiology 4 3%
Other 15 13%
Unknown 27 23%