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Mouse Models of Cancer

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Modeling Cancer Using Genetically Engineered Mice
  3. Altmetric Badge
    Chapter 2 Lung Adenocarcinomas: Comparison Between Mice and Men
  4. Altmetric Badge
    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.
  14. Altmetric Badge
    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
  16. Altmetric Badge
    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.
  19. Altmetric Badge
    Chapter 18 Transplantable mouse tumor models of breast cancer metastasis.
  20. Altmetric Badge
    Chapter 19 Methods to Study Primary Tumor Cells and Residual Tumor Cells in Mouse Models of Oncogene Dependence
  21. Altmetric Badge
    Chapter 20 Generation of Transgenic Mouse Model Using PTTG as an Oncogene.
  22. Altmetric Badge
    Chapter 21 Modeling the Study of DNA Damage Responses in Mice
  23. Altmetric Badge
    Chapter 22 Methods to study tumor surveillance using tumor cell transplantation into genetically engineered mice.
Attention for Chapter 22: Methods to study tumor surveillance using tumor cell transplantation into genetically engineered mice.
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Chapter title
Methods to study tumor surveillance using tumor cell transplantation into genetically engineered mice.
Chapter number 22
Book title
Mouse Models of Cancer
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2297-0_22
Pubmed ID
Book ISBNs
978-1-4939-2296-3, 978-1-4939-2297-0
Authors

Eva Bauer, Agnieszka Witalisz, Birgit Strobl, Dagmar Stoiber, Bauer E, Witalisz A, Strobl B, Stoiber D, Bauer, Eva, Witalisz, Agnieszka, Strobl, Birgit, Stoiber, Dagmar

Abstract

When a tumor evolves, there is constant crosstalk between the transformed cells and cells of the immune system. Transplantation of well-established tumor cell lines into genetically engineered mice is a valuable tool to study the contribution of a gene of interest to tumor surveillance. These methods bear several advantages: first, such cell lines are well characterized; second, much data for reference exist; and third, the impact of the immune system can be separated from tumor cell intrinsic effects. Here, we provide protocols for tumor cell transplantations to address the role of a specific gene product in tumor surveillance. We furthermore describe several approaches to define the impact of natural killer cells and T cells, such as cell depletion and adoptive transfer experiments or use of different genetically modified mice.

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

Geographical breakdown

Country Count As %
Poland 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 43%
Student > Ph. D. Student 1 14%
Student > Bachelor 1 14%
Other 1 14%
Unknown 1 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 43%
Biochemistry, Genetics and Molecular Biology 2 29%
Engineering 1 14%
Unknown 1 14%
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 26 September 2015.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from Methods in molecular biology
#8,199
of 13,353 outputs
Outputs of similar age
#259,787
of 356,631 outputs
Outputs of similar age from Methods in molecular biology
#504
of 992 outputs
Altmetric has tracked 23,577,654 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 13,353 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 992 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.