About this Research Topic
The immune system mounts sophisticated responses against invading pathogens to sustain the host life, however, when gone awry, it can trigger the same responses against the host, leading to autoimmune diseases. The immune responses are multi-layer processes involving different immune cells, metabolites inside the cell as well as in circulation, secreted and surface proteins, intra-cellular protein-modifying enzymes, as well as transcriptional regulatory machinery comprised of transcription factors, chromatin modifying enzymes and non-coding RNAs. The immune responses often span multiple tissues and organ systems. Studying the immune system's systemic response during infection and autoimmunity requires holistic understanding of the interconnectedness and interactions of these elements.
Traditional immunological studies have provided valuable insights, but they often focus on specific components or pathways, failing to capture the entire complexity of the immune response. Multi-omics integrative analysis is a cutting-edge approach that combines multiple high-throughput technologies to study various molecular layers, such as genomics, transcriptomics, proteomics, and metabolomics, and to study cellular compositions, such as cytometry and metagenomics. By adopting this strategy, researchers can obtain a comprehensive and dynamic view of the immune response, revealing the molecular underpinnings of immune diseases.
The goal of this research topic is to promote comprehensive studies of systemic immune responses associated with infection, autoimmune diseases, or vaccination. We consider the systemic response as a response across different compartments of a same cell, such as changes in chromatin accessibility and RNA/protein levels, or, more broadly, as a response across multiple tissues and organ systems. The multi-omics analysis may involve, but not limited to, data from bulk, single-cell, and spatial sequencing, metagenomic sequencing, protein and metabolite profiling assays, cellular composition assays and survey and clinical datasets. While we encourage the studies in human cohorts, we are open to considering such studies in animal models of human diseases. We welcome the submission of Original Research, Resources, Benchmarking Studies, Systematic Review, Review, Mini Review, Perspective, and Opinion articles covering, but not limited to, the following sub-topics:
• Multi-omics view of systemic immune response to infection, treatments, or vaccination.
• Multi-omics view of systemic immune response in autoimmune diseases, such as, rheumatoid arthritis, lupus, Sjogren’s disease, Type 1 diabetes, inflammatory bowel disease, etc.
• Advances in multi-omics integrative analysis methods: novel multi-omics integration methods, or benchmarking or review of the existing methods.
Traditional immunological studies have provided valuable insights, but they often focus on specific components or pathways, failing to capture the entire complexity of the immune response. Multi-omics integrative analysis is a cutting-edge approach that combines multiple high-throughput technologies to study various molecular layers, such as genomics, transcriptomics, proteomics, and metabolomics, and to study cellular compositions, such as cytometry and metagenomics. By adopting this strategy, researchers can obtain a comprehensive and dynamic view of the immune response, revealing the molecular underpinnings of immune diseases.
The goal of this research topic is to promote comprehensive studies of systemic immune responses associated with infection, autoimmune diseases, or vaccination. We consider the systemic response as a response across different compartments of a same cell, such as changes in chromatin accessibility and RNA/protein levels, or, more broadly, as a response across multiple tissues and organ systems. The multi-omics analysis may involve, but not limited to, data from bulk, single-cell, and spatial sequencing, metagenomic sequencing, protein and metabolite profiling assays, cellular composition assays and survey and clinical datasets. While we encourage the studies in human cohorts, we are open to considering such studies in animal models of human diseases. We welcome the submission of Original Research, Resources, Benchmarking Studies, Systematic Review, Review, Mini Review, Perspective, and Opinion articles covering, but not limited to, the following sub-topics:
• Multi-omics view of systemic immune response to infection, treatments, or vaccination.
• Multi-omics view of systemic immune response in autoimmune diseases, such as, rheumatoid arthritis, lupus, Sjogren’s disease, Type 1 diabetes, inflammatory bowel disease, etc.
• Advances in multi-omics integrative analysis methods: novel multi-omics integration methods, or benchmarking or review of the existing methods.
Keywords: systems immunology, systemic immune response, multi-omics integrative analysis, autoimmune diseases, infection, vaccination
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