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

The central nervous system (CNS) represents a uniquely immune-privileged environment, with inflammatory responses involving several resident CNS-specific cell types. While stereotyped cellular and transcriptional responses recur across varied diseases, relevant signaling pathways and regulatory networks are not fully understood. Here, we investigate multi-modal inflammatory gene networks at large scale by developing a high-throughput RNA-seq screening and analysis workflow. As proof-of-concept, we investigate genetically heterogeneous mice from a large-scale chemical mutagenesis screen to identify novel functionally relevant variants in six genes previously linked to human CNS disorders: Nrros, Ctsd, Smpd1, Idua, Nlrp1a, and Inpp5d. We leverage the readily interpretable data from our large-scale study to demarcate distinct inflammatory states arising from each mutation. In all, our work provides a validated analysis framework for identifying discrete gene expression modules that are engaged divergently across disease contexts, which can be used to discover novel regulators of CNS neuroimmune homeostasis.

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Publication Details

Journal
Journal of Neuroinflammation
Published
2025-09-29
DOI
https://doi.org/10.1186/s12974-025-03556-7
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Jesse E. Hanson, Edward M. Bertram, Christopher J. Bohlen, Chunli Yan et al.
Journal of Neuroinflammation
Neuroinflammation and Neurodegeneration Mechanisms
article

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

Jesse E. Hanson, Edward M. Bertram, Christopher J. Bohlen, Chunli Yan, Mitchell G. Rezzonico, Monica Xiong, Carolina Correa-Ospina, Qixin Bei, Tracy J. Yuen, Stefan Bauernfried, Brad A. Friedman, Lucy X. Morris, Andrew Trujillo, Mary K. Crow, Lisa A. Miosge, T. Daniel Andrews, Yuanyuan Wang, Yuxin Liang, Zora Modrusan, Kimberly L. Stark, Tiffany Cripps
article en

Abstract

The central nervous system (CNS) represents a uniquely immune-privileged environment, with inflammatory responses involving several resident CNS-specific cell types. While stereotyped cellular and transcriptional responses recur across varied diseases, relevant signaling pathways and regulatory networks are not fully understood. Here, we investigate multi-modal inflammatory gene networks at large scale by developing a high-throughput RNA-seq screening and analysis workflow. As proof-of-concept, we investigate genetically heterogeneous mice from a large-scale chemical mutagenesis screen to identify novel functionally relevant variants in six genes previously linked to human CNS disorders: Nrros, Ctsd, Smpd1, Idua, Nlrp1a, and Inpp5d. We leverage the readily interpretable data from our large-scale study to demarcate distinct inflammatory states arising from each mutation. In all, our work provides a validated analysis framework for identifying discrete gene expression modules that are engaged divergently across disease contexts, which can be used to discover novel regulators of CNS neuroimmune homeostasis.

Journal of NeuroinflammationVol. 22(1)
Australian National University (AU), Neuroscience Institute (IT), Department of Physiological Sciences (RU), Institute of Human Genetics (PL), Genomic Health (United States) (US)
National Computational Infrastructure, Australian National University, Curtin University of Technology, Genentech
Openalex Percentile: Top 66%
Neuroinflammation and Neurodegeneration Mechanisms
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