About this Research Topic
Conversely, single-cell sequencing technology determines the gene expression profiles on a per-cell basis, allowing for comparisons of variations in the quantities of individual cell subpopulations, as well as changes in transcriptome levels within each subpopulation. However, a prominent limitation of this procedure is the irrevocable loss of spatial locations about cells due to the process of tissue dissociation. Spatial transcriptomics, on the other hand, provides essential data regarding the spatial distribution of cellular gene expression profiles, effectively complementing the positional information single-cell transcriptome sequencing techniques inevitably lose.
These new sequencing technologies have strongly enhanced our exploration of molecular mechanisms of neuroimmunity, ushered in a redefinition of disease typing, and facilitated the discovery of innovative therapeutic targets. Therefore, this research topic aims to apply novel sequencing tools to explore new research strategies in neuroimmunity and to propose future directions in related fields. We welcome submissions of original research, brief research reports, reviews, mini-reviews, methodologies, perspectives and opinion articles focusing on but not limited to the following topics:
1. Neuroimmune regulatory mechanisms: Leverage sequencing technology for a deeper exploration of the regulatory mechanisms of the neuroimmune system, including cell-to-cell interactions, signaling pathways, cytokine release and regulation, ultimately offering a comprehensive understanding of the process of neurological disease occurrence and development.
2. Spatial distribution and disease development: Investigate how the spatial distribution of neuroimmune cells in brain tissue affects the pathological development of neurological diseases, especially their role in local inflammation and immune response.
3. Development of therapeutic strategies: Explore new therapeutic strategies, including immunotherapy and pharmacological interventions, based on newly discovered neuroimmune molecular mechanisms and markers, in order to improve the therapeutic outcomes of neurological diseases.
4. Big Data Analysis and Artificial Intelligence: Utilize large-scale multi-dimensional datasets and artificial intelligence techniques to analyze the complexity of neuroimmunity, discover new patterns, and predict disease trends.
5. Clinical Applications and Diagnostic Tools: Transform research results into clinical applications and develop new diagnostic tools and therapeutic monitoring methods for neurological diseases to improve patient care and management.
Keywords: neurological diseases, spatial transcriptome sequencing, neuroimmunity, neurodegenerative diseases, glioma, single-cell sequencing
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