Modular inflammation network discovery from large-scale phenotypic screening in genetically heterogeneous mouse...

Area of Science:

• Neuroimmunology
• Genetics
• Molecular Biology

Background:

• The central nervous system (CNS) is an immune-privileged site with unique inflammatory responses.
• Understanding CNS inflammatory signaling pathways and regulatory networks is crucial for disease research.
• Stereotyped cellular and transcriptional responses are observed across various CNS diseases.

Purpose of the Study:

• To develop a high-throughput RNA-seq screening and analysis workflow for large-scale investigation of multi-modal inflammatory gene networks.
• To identify novel functionally relevant genetic variants in genes associated with human CNS disorders.
• To demarcate distinct inflammatory states linked to specific genetic mutations.

Main Methods:

• Development of a high-throughput RNA-sequencing (RNA-seq) screening and analysis workflow.
• Utilizing genetically heterogeneous mice from a chemical mutagenesis screen.
• Investigating variants in six genes linked to human CNS disorders: Nrros, Ctsd, Smpd1, Idua, Nlrp1a, and Inpp5d.

Main Results:

• Demonstrated a validated analysis framework for identifying discrete gene expression modules.
• Successfully demarcated distinct inflammatory states arising from individual genetic mutations.
• Identified novel functionally relevant variants in genes associated with CNS disorders.

Conclusions:

• The developed workflow provides a robust method for dissecting CNS inflammatory gene networks.
• The study highlights the potential for discovering novel regulators of CNS neuroimmune homeostasis.
• This framework can be applied to diverse disease contexts to understand divergent gene expression patterns.