Project description:To determine the role of RIPK1 kinase signaling in microglia and astrocytes during EAE (mouse model of MS), we extracted spinal cords of naive, EAE-vehicle and EAE mice treated with RIPK1 kinase inhibitor (GSK’547) for transcript profiling using RNAseq. We identify various genes that are differentially expressed in EAE disease compared to naive mice, and a subset of these are modulated in a RIPK1 kinase-dependent manner in both astrocytes and microglia. The top RIPK1 kinase-dependent gene pathways include oxidative phosphorylation and mitochondrial dysfunction in microglia and EIF2 signaling and cholesterol biosynthesis in astrocytes. This study demonstractes critical and distinct roles for RIPK1 kinase signaling in both microglia and astrocytes during EAE
Project description:We identify pathways regulated by Nfe2l2 in astrocytes during EAE Multiple sclerosis (MS) is an autoimmune neurologic disease leading to demyelination and neurologic dysfunction controlled by both genetic and environmental factors. In addition to CNS-infiltrating immune cells, CNS-resident cells, such as astrocytes, are thought to play an important role in MS pathogenesis. However, a comprehensive understanding of the extent to which gene expression is disrupted in astrocytes is not known. Here, we implement single-cell RNA sequencing, in vivo genetic perturbations, cell-specific RNA profiling by Ribotag, as well as single-cell RNA sequencing of human MS patient samples to identify a transcriptional regulatory network in astrocytes that controls the pathogenesis of EAE and potentially, MS. We defined an astrocyte subpopulation characterized by expression of the small Maf protein, MAFG, which represses NRF2-driven antioxidant mechanisms and promotes EAE pathogenesis. Mechanistically, MAFG suppresses NRF2-dependent antioxidant genetic programs by cooperating with its cofactor, MAT2a, to promote DNA methylation in the context of CNS inflammation, which in turn increases pathogenic signaling processes in astrocytes. MAFG/MAT2a astrocytes are controlled by GM-CSF signaling, which drives EAE pathogenesis and MAFG expression. MAFG is activated in astrocytes derived from MS patients, which are characterized by DNA methylation programs, pro-inflammatory signaling processes including GM-CSF signaling, and repressed NRF2 activation. Together, these data create a transcriptional and epigenetic framework to analyze CNS inflammation in MS and may provide new therapeutic targets.
Project description:We report MAFG recruitment to ARE elements in astrocytes during EAE compared to naïve mice Multiple sclerosis (MS) is an autoimmune neurologic disease leading to demyelination and neurologic dysfunction controlled by both genetic and environmental factors. In addition to CNS-infiltrating immune cells, CNS-resident cells, such as astrocytes, are thought to play an important role in MS pathogenesis. However, a comprehensive understanding of the extent to which gene expression is disrupted in astrocytes is not known. Here, we implement single-cell RNA sequencing, in vivo genetic perturbations, cell-specific RNA profiling by Ribotag, as well as single-cell RNA sequencing of human MS patient samples to identify a transcriptional regulatory network in astrocytes that controls the pathogenesis of EAE and potentially, MS. We defined an astrocyte subpopulation characterized by expression of the small Maf protein, MAFG, which represses NRF2-driven antioxidant mechanisms and promotes EAE pathogenesis. Mechanistically, MAFG suppresses NRF2-dependent antioxidant genetic programs by cooperating with its cofactor, MAT2a, to promote DNA methylation in the context of CNS inflammation, which in turn increases pathogenic signaling processes in astrocytes. MAFG/MAT2a astrocytes are controlled by GM-CSF signaling, which drives EAE pathogenesis and MAFG expression. MAFG is activated in astrocytes derived from MS patients, which are characterized by DNA methylation programs, pro-inflammatory signaling processes including GM-CSF signaling, and repressed NRF2 activation. Together, these data create a transcriptional and epigenetic framework to analyze CNS inflammation in MS and may provide new therapeutic targets.
