About this Research Topic
The integration of single-cell and spatial transcriptomics with advanced metabolic profiling tools has provided unprecedented insights into the cellular mechanisms that drive disease processes, particularly in the context of immune-related disorders. These techniques have become crucial in unraveling the complex interplay between immune cells and disease environments, offering detailed views of cellular behavior and interactions at an individual cell level. This is especially pertinent in conditions where immune cells play pivotal roles in disease progression and response to therapies.
Despite the advancements, there remains a substantial gap in our understanding of how immune cells adapt their metabolic processes in dynamic disease environments. Tools such as single-cell Flux Estimation Analysis (scFEA), the Metabolic Cost model (Mebocost), and single-cell Metabolism (scMetabolism) have begun to address these challenges. These technologies enable researchers to dissect the metabolic activities of immune cells, revealing how metabolic reprogramming within these cells supports or inhibits disease processes.
However, the application of these technologies in exploring the metabolic underpinnings of immune cell function across a range of immune-related disorders is still emerging. These conditions, characterized by complex metabolic rewiring that supports disease persistence and resistance to treatments, require sophisticated analyses that capture both the static state of immune cell metabolisms and their evolution over time and in response to therapy.
This research topic aims to bridge these gaps by applying cutting-edge single-cell and spatial transcriptomics tools, coupled with metabolic profiling technologies like scFEA, Mebocost, and scMetabolism. Our goal is to comprehensively map the metabolic pathways that govern immune cell functions across various immune-related disorders. Contributions are invited to explore how immune cells modify their metabolic pathways during disease progression, how these metabolic shifts influence disease outcomes, and how metabolic intervention could alter the course of these disorders.
By focusing on a broad spectrum of immune-related diseases, this collection hopes to uncover new metabolic targets for therapy and enhance our understanding of the tissue-specific metabolic interactions that dictate immune cell function and disease progression.
The topic intends to bridge the existing technological gaps by applying these sophisticated methodologies to investigate the dynamic metabolic changes in immune cells within the microenvironments of diseases. This involves capturing not just static snapshots but also the temporal evolution of metabolic states during disease development and in response to treatments.
By mapping the metabolic alterations in immune cells that occur in specific diseases, this research aims to identify new metabolic targets for therapeutic intervention. These targets could potentially be exploited to develop treatments that can modulate immune cell function and improve disease
This Research Topic focuses on the application of single-cell and spatial transcriptomics combined with advanced metabolic profiling tools to explore the metabolic dynamics of immune cells across various immune-related diseases. The aim is to provide a comprehensive understanding of how metabolic reprogramming within immune cells influences disease progression and therapeutic responses. We are interested in receiving original research articles, reviews, mini-reviews, perspectives, and methodologies on this topic.
Specific sub-themes include:
- Comprehensive Metabolic Profiling: Detailed analyses of immune cell metabolism using scFEA, - Mebocost, and scMetabolism.
- Disease-Specific Metabolic Insights: Studies on how metabolic pathways differ among various immune-related diseases
-.Therapeutic Implications: Exploration of potential metabolic targets for innovative treatment strategies.
Despite the advancements, there remains a substantial gap in our understanding of how immune cells adapt their metabolic processes in dynamic disease environments. Tools such as single-cell Flux Estimation Analysis (scFEA), the Metabolic Cost model (Mebocost), and single-cell Metabolism (scMetabolism) have begun to address these challenges. These technologies enable researchers to dissect the metabolic activities of immune cells, revealing how metabolic reprogramming within these cells supports or inhibits disease processes.
However, the application of these technologies in exploring the metabolic underpinnings of immune cell function across a range of immune-related disorders is still emerging. These conditions, characterized by complex metabolic rewiring that supports disease persistence and resistance to treatments, require sophisticated analyses that capture both the static state of immune cell metabolisms and their evolution over time and in response to therapy.
This research topic aims to bridge these gaps by applying cutting-edge single-cell and spatial transcriptomics tools, coupled with metabolic profiling technologies like scFEA, Mebocost, and scMetabolism. Our goal is to comprehensively map the metabolic pathways that govern immune cell functions across various immune-related disorders. Contributions are invited to explore how immune cells modify their metabolic pathways during disease progression, how these metabolic shifts influence disease outcomes, and how metabolic intervention could alter the course of these disorders.
By focusing on a broad spectrum of immune-related diseases, this collection hopes to uncover new metabolic targets for therapy and enhance our understanding of the tissue-specific metabolic interactions that dictate immune cell function and disease progression.
The topic intends to bridge the existing technological gaps by applying these sophisticated methodologies to investigate the dynamic metabolic changes in immune cells within the microenvironments of diseases. This involves capturing not just static snapshots but also the temporal evolution of metabolic states during disease development and in response to treatments.
By mapping the metabolic alterations in immune cells that occur in specific diseases, this research aims to identify new metabolic targets for therapeutic intervention. These targets could potentially be exploited to develop treatments that can modulate immune cell function and improve disease
This Research Topic focuses on the application of single-cell and spatial transcriptomics combined with advanced metabolic profiling tools to explore the metabolic dynamics of immune cells across various immune-related diseases. The aim is to provide a comprehensive understanding of how metabolic reprogramming within immune cells influences disease progression and therapeutic responses. We are interested in receiving original research articles, reviews, mini-reviews, perspectives, and methodologies on this topic.
Specific sub-themes include:
- Comprehensive Metabolic Profiling: Detailed analyses of immune cell metabolism using scFEA, - Mebocost, and scMetabolism.
- Disease-Specific Metabolic Insights: Studies on how metabolic pathways differ among various immune-related diseases
-.Therapeutic Implications: Exploration of potential metabolic targets for innovative treatment strategies.
Keywords: Single-cell transcriptomics, spatial transcriptomics, immune metabolism, disease dynamics, metabolic flux
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
