To Örebro University

Amyotrophic lateral sclerosis (ALS) is characterized by the progressive loss of motor neurons (MNs) that innervate skeletal muscles. However, certain MN groups including ocular MNs, are relatively resilient. To reveal key drivers of resilience versus vulnerability in ALS, we investigate the transcriptional dynamics of four distinct MN populations in SOD1G93A ALS mice using LCM-seq and single molecule fluorescent in situ hybridization. We find that resilient ocular MNs regulate few genes in response to disease. Instead, they exhibit high baseline gene expression of neuroprotective factors including En1, Pvalb, Cd63 and Gal, some of which vulnerable MNs upregulate during disease. Vulnerable motor neuron groups upregulate both detrimental and regenerative responses to ALS and share pathway activation, indicating that breakdown occurs through similar mechanisms across vulnerable neurons, albeit with distinct timing. Meta-analysis across four rodent mutant SOD1 MN transcriptome datasets identify a shared vulnerability code of 39 genes including Atf4, Nupr1, Ddit3, and Penk, involved in apoptosis as well as proregenerative and anti-apoptotic signature consisting of Atf3, Vgf, Ina, Sprr1a, Fgf21, Gap43, Adcyap1, and Mt1 Machine learning using genes upregulated in SOD1G93A spinal MN predicts disease in human stem cell-derived SOD1E100G MNs, and shows that dysregulation of VGF, INA, and PENK are strong disease-predictors across species and SOD1 mutations. Our study reveals MN population-specific gene expression and temporal disease-induced regulation that together provide a basis to explain ALS selective vulnerability and resilience and that can be used to predict disease.