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Related Experiment Video

Updated: Jan 26, 2026

Double Labeling Immunofluorescence using Antibodies from the Same Species to Study Host-Pathogen Interactions

Double Labeling Immunofluorescence using Antibodies from the Same Species to Study Host-Pathogen Interactions

Published on: July 10, 2021

The Collaborative Cross: A Systems Genetics Resource for Studying Host-Pathogen Interactions.

Kelsey E Noll¹, Martin T Ferris², Mark T Heise³

¹Department of Microbiology and Immunology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Cell Host & Microbe

|April 12, 2019

Summary

This summary is machine-generated.

Host genetic variation influences infectious disease susceptibility. The Collaborative Cross (CC) mouse model advances understanding of pathogen resistance and host response loci mapping.

Keywords:

Collaborative Cross genetics reference populations immune genes immunity infection

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A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

Area of Science:

Genetics
Immunology
Microbiology

Background:

Host genetic variation significantly impacts infectious disease susceptibility.
Mouse models are crucial for studying pathogen resistance genes and disease pathogenesis.
Understanding host-pathogen interactions requires genetically diverse populations.

Purpose of the Study:

To review the utility of the Collaborative Cross (CC) mouse population for studying infectious diseases.
To highlight the development of improved CC-based models for pathogen-induced diseases.
To summarize progress in mapping host response loci using the CC.

Main Methods:

Utilizing the Collaborative Cross (CC) as a multi-parental mouse genetic reference population.
Developing CC-based models for studying pathogen-induced diseases.
Mapping polymorphic host response loci associated with pathogen susceptibility variations.

Main Results:

The CC provides a tractable platform for studying host-pathogen interactions in genetically diverse settings.
Progress has been made in developing CC models for various pathogen-induced diseases.
The CC facilitates the mapping of genetic loci controlling host response to pathogens.

Conclusions:

The Collaborative Cross is a valuable resource for advancing infectious disease research.
CC-based models improve the study of genetic influences on disease susceptibility.
Further research using the CC will enhance our understanding of host-pathogen genetics.