At present, in addition to brain malignant tumors and neuroimmune diseases, medicine is still powerless for nervous system diseases, including many neurodegenerative diseases. Immunotherapy is now dramatically changing the way that those diseases are treated. More scientists are paying attention to the relationship between the immune system and these diseases. Meanwhile, many studies from genomics and histopathology have also pointed out that the dysregulation of immune pathways is a common characteristic of neurodegenerative diseases, including changes in cytokine signals, proliferation, and migration of immune cells. etc. However, it is gradually recognized that the immune system may be involved in regulating the metabolic process of amyloid precursor protein (APP), clearing toxic products (TPs), and the response of nerve cells to TPs. Therefore, it is considered that the immune system may be a valuable entry point for the treatment of neurodegenerative diseases.
With the decreasing cost of high-throughput sequencing, various sequencing platforms have generated a vast amount of biological and medical data at multiple molecular levels, including genome, transcriptome, proteome, epigenome, metabolome, etc. Our understanding of the molecular mechanism of neuroimmune diseases and complex nervous system diseases has been greatly enhanced by a range of analytical approaches that integrates multi-omics data from the diverse source. For example, a genome-wide association study with protein levels (pGWAS) integrates genome and proteome data to detect the genome-wide significant variation-to-protein associations. However, these studies are limited by the integration of multi-omics data in the human nervous system, not only because of the overall scarcity of related studies, but also because of the scarcity of data resources on human nervous system diseases.
In conclusion, the current challenges in understanding the molecular mechanisms of human nervous system functions and neuroimmune diseases are 1) to develop computational approaches and analysis pipeline for integrating multi-omics data of human nervous system and neuroimmune diseases; 2) to develop statistical methods to analyze small sample data, which is a common situation in human neuroimmune disorders; 3) to establish the databases to store and enrich multi-omics data of the human nervous system and neuroimmune disorders.
Therefore, we propose to conduct this topic that includes, but are not limited to:
• Mechanism exploration of human nervous system functions and neurological disorders by integrating multi-omics data. Especially welcome to submit a new strategy for integrating multi-omics data such as scRNA-seq and GWAS.
•Databases for storing multi-omics data on the human nervous system and neuroimmune disorders.
• Associations between immune system disorder and neurological diseases.
• The roles of non-coding genes in neuroimmune inflammatory diseases of CNS.
• Neuroimmune molecular mechanisms of nervous system diseases, such as neuroimmune inflammatory diseases of CNS and PNS, stroke, and neurodegenerative disorder.
• Advances in laboratory experiments using data-driven computation in nervous system diseases.
• Benchmark research to validate biomarkers in neuroimmune disorders identified from multi-omics data analysis.
• Welcome to submit the insightful review about the pathway in neurological disorders based on the analysis of multi-omics data.
At present, in addition to brain malignant tumors and neuroimmune diseases, medicine is still powerless for nervous system diseases, including many neurodegenerative diseases. Immunotherapy is now dramatically changing the way that those diseases are treated. More scientists are paying attention to the relationship between the immune system and these diseases. Meanwhile, many studies from genomics and histopathology have also pointed out that the dysregulation of immune pathways is a common characteristic of neurodegenerative diseases, including changes in cytokine signals, proliferation, and migration of immune cells. etc. However, it is gradually recognized that the immune system may be involved in regulating the metabolic process of amyloid precursor protein (APP), clearing toxic products (TPs), and the response of nerve cells to TPs. Therefore, it is considered that the immune system may be a valuable entry point for the treatment of neurodegenerative diseases.
With the decreasing cost of high-throughput sequencing, various sequencing platforms have generated a vast amount of biological and medical data at multiple molecular levels, including genome, transcriptome, proteome, epigenome, metabolome, etc. Our understanding of the molecular mechanism of neuroimmune diseases and complex nervous system diseases has been greatly enhanced by a range of analytical approaches that integrates multi-omics data from the diverse source. For example, a genome-wide association study with protein levels (pGWAS) integrates genome and proteome data to detect the genome-wide significant variation-to-protein associations. However, these studies are limited by the integration of multi-omics data in the human nervous system, not only because of the overall scarcity of related studies, but also because of the scarcity of data resources on human nervous system diseases.
In conclusion, the current challenges in understanding the molecular mechanisms of human nervous system functions and neuroimmune diseases are 1) to develop computational approaches and analysis pipeline for integrating multi-omics data of human nervous system and neuroimmune diseases; 2) to develop statistical methods to analyze small sample data, which is a common situation in human neuroimmune disorders; 3) to establish the databases to store and enrich multi-omics data of the human nervous system and neuroimmune disorders.
Therefore, we propose to conduct this topic that includes, but are not limited to:
• Mechanism exploration of human nervous system functions and neurological disorders by integrating multi-omics data. Especially welcome to submit a new strategy for integrating multi-omics data such as scRNA-seq and GWAS.
•Databases for storing multi-omics data on the human nervous system and neuroimmune disorders.
• Associations between immune system disorder and neurological diseases.
• The roles of non-coding genes in neuroimmune inflammatory diseases of CNS.
• Neuroimmune molecular mechanisms of nervous system diseases, such as neuroimmune inflammatory diseases of CNS and PNS, stroke, and neurodegenerative disorder.
• Advances in laboratory experiments using data-driven computation in nervous system diseases.
• Benchmark research to validate biomarkers in neuroimmune disorders identified from multi-omics data analysis.
• Welcome to submit the insightful review about the pathway in neurological disorders based on the analysis of multi-omics data.
