Mastomys Species as Model Systems for Infectious Diseases

Daniel Hasche1, Frank Rösl2

  • 1Division Viral Transformation Mechanisms, Research Program "Infection, Inflammation and Cancer", German Cancer Research Center, 69120 Heidelberg, Germany. d.hasche@dkfz.de.

Viruses
|February 24, 2019
PubMed

Insights

Advanced in vitro systems are insufficient for complex disease modeling. The Mastomys coucha rodent model offers a valuable alternative for studying skin cancer and other diseases, improving preclinical research and clinical translation.

Area of Science:

  • Biomedical research
  • Preclinical models
  • Animal research

Background:

  • In vitro systems struggle to replicate complex disease pathophysiology.
  • Preclinical animal models are essential for mimicking human in vivo conditions.
  • A combined approach using various models ensures result generalizability.

Purpose of the Study:

  • To review the value of experimental systems in life sciences.
  • To introduce the Mastomys coucha rodent model for research.
  • To highlight its utility in cancer and infectious disease studies.

Main Methods:

  • Literature review on experimental systems.
  • Description of the Mastomys coucha model.
  • Presentation of recent findings on papillomaviruses and UV radiation.

Main Results:

  • Mastomys coucha demonstrated a "hit-and-run" mechanism for UV-induced skin squamous cell carcinomas.
  • This model proved effective for vaccination against non-melanoma skin cancer, even under immunosuppression.

Conclusions:

  • Mastomys coucha is a valuable, underutilized model for skin cancer research.
  • This model aids in understanding carcinogenesis and developing cancer vaccines.
  • Broadening the scope of animal models is crucial for advancing biomedical research.

Related Concept Videos

What is a Species?01:17

What is a Species?

Overview
49.7K
Keystone Species01:39

Keystone Species

Measures of species biodiversity, such as richness (i.e., the number of species present) and evenness (i.e., their relative abundance), describe an ecological community’s structure. Many factors affect community structure, including abiotic factors (e.g., sunlight and nutrients), disturbances (e.g., fire or flood), species interactions (e.g., predation or competition), and chance events (e.g., foreign species invasion). Certain species—such as keystone species—also play a...
24.7K
Formation of Species01:31

Formation of Species

Speciation describes the formation of one or more new species from one or sometimes multiple original species. The resulting species are discrete from the parent species, and barriers to reproduction will typically exist. There are two primary mechanisms, speciation with and without geographic isolation—allopatric and sympatric speciation, respectively.
45.0K
Second Order systems II01:18

Second Order systems II

In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
406
First Order Systems01:21

First Order Systems

First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
426
Second Order systems I01:20

Second Order systems I

A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
591