Bulk multi-omics analyses of specimens have shaped much of our understanding of tissue development and human disease. This knowledges facilitates the development of precision medicine. However, specimens are intricate ecosystems composed of various cell subsets (e.g. immune cells), whose precise characterization is masked by bulk methods. Immune dysregulation is recognized as one of the critical mechanisms underlying disease initiation, progression, and therapeutic resistance. Single-cell genomic techniques have emerged as effective approaches to dissect diseased tissue at the resolution of individual cells. Spatially, the various cell subsets in tissues are diversely organized and hierarchically structured. In response to external stimuli (e.g., pathogens and treatment), spatial immune reprogramming will be initiated. Elaborating on the spatial structure of various cell assemblies is essential for discovering disease mechanisms and designing novel therapeutic strategies. The spatial omics techniques will potentially extend our knowledge to facilitate further investigation into novel clinical-relevant biomarkers, novel therapeutic design , and precision medicine.
The emerging single-cell and spatial-omics technologies will undoubtedly lead to an explosion of innovations in cell development and subtleties of cellular diversity for human disease. To fully understand the application and potential impacts of these technologies, our goal is to trigger new studies in immune-related diseases based on single-cell and spatial-omics technologies. It is foreseeable that these studies may further delineate, but not be limited to, the communication between cells, the evolution of various cells in disease progression, the mechanisms of acquired resistance to therapy, and interest in novel therapeutic strategies.
Areas of interest for this Research Topic include studies applied single-cell or spatial-omics, included but not limited to:
• Applications in biological studies
• Revolutions in algorithms and data analysis
• Applications in pre-clinical and clinical applications for immune-related diseases
All article types are welcome, including Original research, Brief communications, Reviews, and Protocols.
Please Note: Descriptive studies (e.g. gene expression profiles, or transcript, protein, or metabolite levels under particular conditions or in a particular cell type) and studies consisting solely of bioinformatic investigation of publicly available genomic / transcriptomic data do not fall within the scope of the journal unless they are expanded and provide significant biological or mechanistic insight into the process being studied.
Bulk multi-omics analyses of specimens have shaped much of our understanding of tissue development and human disease. This knowledges facilitates the development of precision medicine. However, specimens are intricate ecosystems composed of various cell subsets (e.g. immune cells), whose precise characterization is masked by bulk methods. Immune dysregulation is recognized as one of the critical mechanisms underlying disease initiation, progression, and therapeutic resistance. Single-cell genomic techniques have emerged as effective approaches to dissect diseased tissue at the resolution of individual cells. Spatially, the various cell subsets in tissues are diversely organized and hierarchically structured. In response to external stimuli (e.g., pathogens and treatment), spatial immune reprogramming will be initiated. Elaborating on the spatial structure of various cell assemblies is essential for discovering disease mechanisms and designing novel therapeutic strategies. The spatial omics techniques will potentially extend our knowledge to facilitate further investigation into novel clinical-relevant biomarkers, novel therapeutic design , and precision medicine.
The emerging single-cell and spatial-omics technologies will undoubtedly lead to an explosion of innovations in cell development and subtleties of cellular diversity for human disease. To fully understand the application and potential impacts of these technologies, our goal is to trigger new studies in immune-related diseases based on single-cell and spatial-omics technologies. It is foreseeable that these studies may further delineate, but not be limited to, the communication between cells, the evolution of various cells in disease progression, the mechanisms of acquired resistance to therapy, and interest in novel therapeutic strategies.
Areas of interest for this Research Topic include studies applied single-cell or spatial-omics, included but not limited to:
• Applications in biological studies
• Revolutions in algorithms and data analysis
• Applications in pre-clinical and clinical applications for immune-related diseases
All article types are welcome, including Original research, Brief communications, Reviews, and Protocols.
Please Note: Descriptive studies (e.g. gene expression profiles, or transcript, protein, or metabolite levels under particular conditions or in a particular cell type) and studies consisting solely of bioinformatic investigation of publicly available genomic / transcriptomic data do not fall within the scope of the journal unless they are expanded and provide significant biological or mechanistic insight into the process being studied.
