Irene Mei, Susanne Nichterwitz, Melanie Leboeuf, Jik Nijssen, Isadora lenoel, Dirk Repsilber, Christian S Lobsiger, Eva Hedlund
{"title":"易损运动神经元特有的转录调节可预测跨物种和SOD1突变的ALS","authors":"Irene Mei, Susanne Nichterwitz, Melanie Leboeuf, Jik Nijssen, Isadora lenoel, Dirk Repsilber, Christian S Lobsiger, Eva Hedlund","doi":"10.1101/gr.279501.124","DOIUrl":null,"url":null,"abstract":"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 <em>Atf4</em>, <em>Nupr1</em>, <em>Ddit3</em>, and <em>Penk</em>, involved in apoptosis as well as proregenerative and anti-apoptotic signature consisting of <em>Atf3</em>, <em>Vgf</em>, <em>Ina</em>, <em>Sprr1a</em>, <em>Fgf21</em>, <em>Gap43</em>, <em>Adcyap1</em>, and <em>Mt1</em>. Machine learning using genes upregulated in SOD1G93A spinal MN predicts disease in human stem cell-derived SOD1E100G MNs, and shows that dysregulation of <em>VGF</em>, <em>INA</em>, and <em>PENK</em> 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.","PeriodicalId":12678,"journal":{"name":"Genome research","volume":"24 1","pages":""},"PeriodicalIF":5.5000,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transcriptional modulation unique to vulnerable motor neurons predicts ALS across species and SOD1 mutations\",\"authors\":\"Irene Mei, Susanne Nichterwitz, Melanie Leboeuf, Jik Nijssen, Isadora lenoel, Dirk Repsilber, Christian S Lobsiger, Eva Hedlund\",\"doi\":\"10.1101/gr.279501.124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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 <em>Atf4</em>, <em>Nupr1</em>, <em>Ddit3</em>, and <em>Penk</em>, involved in apoptosis as well as proregenerative and anti-apoptotic signature consisting of <em>Atf3</em>, <em>Vgf</em>, <em>Ina</em>, <em>Sprr1a</em>, <em>Fgf21</em>, <em>Gap43</em>, <em>Adcyap1</em>, and <em>Mt1</em>. Machine learning using genes upregulated in SOD1G93A spinal MN predicts disease in human stem cell-derived SOD1E100G MNs, and shows that dysregulation of <em>VGF</em>, <em>INA</em>, and <em>PENK</em> 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.\",\"PeriodicalId\":12678,\"journal\":{\"name\":\"Genome research\",\"volume\":\"24 1\",\"pages\":\"\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Genome research\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1101/gr.279501.124\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genome research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1101/gr.279501.124","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Transcriptional modulation unique to vulnerable motor neurons predicts ALS across species and SOD1 mutations
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.
期刊介绍:
Launched in 1995, Genome Research is an international, continuously published, peer-reviewed journal that focuses on research that provides novel insights into the genome biology of all organisms, including advances in genomic medicine.
Among the topics considered by the journal are genome structure and function, comparative genomics, molecular evolution, genome-scale quantitative and population genetics, proteomics, epigenomics, and systems biology. The journal also features exciting gene discoveries and reports of cutting-edge computational biology and high-throughput methodologies.
New data in these areas are published as research papers, or methods and resource reports that provide novel information on technologies or tools that will be of interest to a broad readership. Complete data sets are presented electronically on the journal''s web site where appropriate. The journal also provides Reviews, Perspectives, and Insight/Outlook articles, which present commentary on the latest advances published both here and elsewhere, placing such progress in its broader biological context.