Immunomics endorses the study of the immune system regulation. With the knowledge delivered by the emerging omics sciences, immunomics allows us to unravel the immune landscape of diseases. In such context, the integration of genomics, transcriptomics, proteomics, metabolomics, and bioinformatics may provide a congenial link between pathogens and the host immune system, or dissect the altered networks behind the inflammatory, autoimmune, and the surrounding environment, with the cooperation of human, animal, and environmental sciences in the One Health perspective.
The application of different approaches can determine the precise interactions between different human and animal immune cells and mediators, providing effective findings to address shared health threats such as zoonotic diseases, antimicrobial resistance, food safety, and others. Furthermore, the high-dimension and high-throughput immunomics data enable to generate computational and mathematical models for identifying new candidate immune targets, adjusting already-available or new therapeutic options, or produce alternative and environmentally sustainable supports for global health security, by improving communication at the human–animal–environment interface.
The importance of the immune system in regulating many aspects of health and disease is well recognized, despite the recognition that our knowledge of the complex network in which many different immune cells and immune mediators take part is not yet complete. When specific defects of the immune milieu are recognized, the cascades of events triggered downstream still require further characterization, in order to provide suitable and effective treatments for patients. By using integrative omics and computational approaches, including the newest machine learning-based algorithms, immunomics offers enormous potential to detangle the intricacy of the alterations related to the immune system from a holistic point of view. Investigatingbiological mechanisms in the view of applying effective One Health approaches can provide useful tools to understand the complex networks behind the human health and the environment. Thus, developing integrative strategies for the interpretation of high-throughput datasets and computational models to study the complex systems is required to understand the regulatory networks of the immune system and for any application in the clinical practice.
This Research Topic welcomes the submission of manuscripts with a leading direction on computational immunology and the omics view. All scientists and researchers interested in this Research Topic are invited to submit their work in the form of Original Research, Review/Mini-Review, Methods, and shorter Perspective articles, offering new insights within the immunomics perspective. We welcome manuscripts focusing on, but not limited to, the following sub-topics:
• Investigation of the dysregulated immune regulatory networks
• Interaction between immune cells or molecules
• Statistical and mathematical approaches to integrate immunomics data
• Computational and modeling approaches to study the immune system dynamics
• Molecular insights into the immune system response to immune, immune-related, COVID-19 or infectious diseases
• Cross-talk between immune system and global health security
Immunomics endorses the study of the immune system regulation. With the knowledge delivered by the emerging omics sciences, immunomics allows us to unravel the immune landscape of diseases. In such context, the integration of genomics, transcriptomics, proteomics, metabolomics, and bioinformatics may provide a congenial link between pathogens and the host immune system, or dissect the altered networks behind the inflammatory, autoimmune, and the surrounding environment, with the cooperation of human, animal, and environmental sciences in the One Health perspective.
The application of different approaches can determine the precise interactions between different human and animal immune cells and mediators, providing effective findings to address shared health threats such as zoonotic diseases, antimicrobial resistance, food safety, and others. Furthermore, the high-dimension and high-throughput immunomics data enable to generate computational and mathematical models for identifying new candidate immune targets, adjusting already-available or new therapeutic options, or produce alternative and environmentally sustainable supports for global health security, by improving communication at the human–animal–environment interface.
The importance of the immune system in regulating many aspects of health and disease is well recognized, despite the recognition that our knowledge of the complex network in which many different immune cells and immune mediators take part is not yet complete. When specific defects of the immune milieu are recognized, the cascades of events triggered downstream still require further characterization, in order to provide suitable and effective treatments for patients. By using integrative omics and computational approaches, including the newest machine learning-based algorithms, immunomics offers enormous potential to detangle the intricacy of the alterations related to the immune system from a holistic point of view. Investigatingbiological mechanisms in the view of applying effective One Health approaches can provide useful tools to understand the complex networks behind the human health and the environment. Thus, developing integrative strategies for the interpretation of high-throughput datasets and computational models to study the complex systems is required to understand the regulatory networks of the immune system and for any application in the clinical practice.
This Research Topic welcomes the submission of manuscripts with a leading direction on computational immunology and the omics view. All scientists and researchers interested in this Research Topic are invited to submit their work in the form of Original Research, Review/Mini-Review, Methods, and shorter Perspective articles, offering new insights within the immunomics perspective. We welcome manuscripts focusing on, but not limited to, the following sub-topics:
• Investigation of the dysregulated immune regulatory networks
• Interaction between immune cells or molecules
• Statistical and mathematical approaches to integrate immunomics data
• Computational and modeling approaches to study the immune system dynamics
• Molecular insights into the immune system response to immune, immune-related, COVID-19 or infectious diseases
• Cross-talk between immune system and global health security
