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Related Concept Videos

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

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Related Experiment Video

Updated: Jun 4, 2026

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
08:55

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

Published on: November 2, 2014

Ovarian cancer models : technical review.

S P Langdon1, J Edwards, J M Bartlett

  • 1Imperial Cancer Research Fund, Medical Oncology Unit, Western General Hospital, Edinburgh, Scotland.

Methods in Molecular Medicine
|February 23, 2011
PubMed
Summary

Choosing the right laboratory model system is crucial for research success. While model systems simplify complex diseases like ovarian cancer, they are imperfect representations of in vivo conditions.

Area of Science:

  • Oncology
  • Translational Research
  • Biomedical Science

Background:

  • Ovarian cancer is a complex disease involving multiple biological components.
  • Investigating such complexity in human patients presents significant challenges due to biological variability.
  • Model systems are developed to simplify biological systems for controlled experimental study.

Purpose of the Study:

  • To address the fundamental question of selecting appropriate model systems for laboratory research.
  • To highlight the necessity and limitations of using model systems in biological research.
  • To emphasize the appropriate application of model systems in scientific investigation.

Main Methods:

  • Discussion of the rationale behind using simplified model systems in experimental science.

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Heterotypic Three-dimensional In Vitro Modeling of Stromal-Epithelial Interactions During Ovarian Cancer Initiation and Progression
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Heterotypic Three-dimensional In Vitro Modeling of Stromal-Epithelial Interactions During Ovarian Cancer Initiation and Progression

Published on: August 28, 2012

Related Experiment Videos

Last Updated: Jun 4, 2026

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
08:55

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

Published on: November 2, 2014

Heterotypic Three-dimensional In Vitro Modeling of Stromal-Epithelial Interactions During Ovarian Cancer Initiation and Progression
12:42

Heterotypic Three-dimensional In Vitro Modeling of Stromal-Epithelial Interactions During Ovarian Cancer Initiation and Progression

Published on: August 28, 2012

  • Comparison of the complexities of in vivo human cancer models versus controlled laboratory models.
  • Analysis of the inherent trade-offs in experimental design when using model systems.

    • Main Results:

    • Model systems are essential for controlling variables in complex biological research.
    • Model systems, by definition, are imperfect representations of the actual disease state.
    • The diversity of human tumors and hosts complicates direct patient-based research.

    Conclusions:

    • Model systems are indispensable tools for laboratory scientists studying complex diseases.
    • Appropriate selection and utilization of model systems are critical for research integrity.
    • Understanding the limitations of model systems is key to their effective application.