The intricate nature of the human brain presents challenges in understanding diseases, spanning from cancers to non-neoplastic disorders. Multi-omics research offers a comprehensive approach to dissect the molecular landscape of the brain, encompassing genetic, epigenetic, and metabolic factors. This research endeavor aims to unravel the complexities underlying brain disorders, facilitating precision medicine strategies and therapeutic advancements.
In this research topic, our aim is to focus on studies employing multi-omics approaches to elucidate the molecular mechanisms driving both cancerous and non-neoplastic conditions in the brain. Utilizing cutting-edge single-cell modalities such as deconvolution and spatial transcriptomics, alongside the integration of genomic, epigenomic, and metabolomic data, our objective is to discuss crucial pathways and biomarkers correlated with disease initiation, progression, and treatment response, spanning from basic science to disease development, while taking a cross-tissue and cross-population perspective. We aim to cover a broad spectrum of research areas within the scope of multi-omics studies in brain diseases, encouraging submissions that are innovative, interdisciplinary, and have the potential to significantly advance our understanding and treatment of these complex conditions.
We welcome original research articles, systematic review, meta-analysis, clinical case studies, and review articles within the scope of the research topic. Bioinformatics studies are welcome; however, these should not be based solely on analysis of publicly available datasets such as TCGA. Topic of interests includes, but are not limited to the following:
• Genomic Landscapes and Brain Tumor Heterogeneity
• Epigenetic Signatures in Brain Tumor Classification
• Tumor Microenvironment
• Proteomic and Metabolomic Profiles in Brain Metastases
• Cross-Tissue Molecular Insights into Brain Metastases
• Neurodevelopmental Pathways in the adult and pediatric brain tumors
• Metabolic Reprogramming in Brain Pathologies
• Neurovascular Interactions in Brain Health and Disease
• Machine Learning and AI in Multi-Omics Data Analysis for Brain Diseases
• Longitudinal Omics Studies in Brain Disease Progression
• Comparative Omics of Neoplastic vs. Non-Neoplastic Brain Diseases
• Cross-Population Genetic Variability in Brain Tumor Incidence and Treatment Response
Keywords:
Brain complexities, Cancers, Non-Neoplastic Diseases, multi-omics research
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.
The intricate nature of the human brain presents challenges in understanding diseases, spanning from cancers to non-neoplastic disorders. Multi-omics research offers a comprehensive approach to dissect the molecular landscape of the brain, encompassing genetic, epigenetic, and metabolic factors. This research endeavor aims to unravel the complexities underlying brain disorders, facilitating precision medicine strategies and therapeutic advancements.
In this research topic, our aim is to focus on studies employing multi-omics approaches to elucidate the molecular mechanisms driving both cancerous and non-neoplastic conditions in the brain. Utilizing cutting-edge single-cell modalities such as deconvolution and spatial transcriptomics, alongside the integration of genomic, epigenomic, and metabolomic data, our objective is to discuss crucial pathways and biomarkers correlated with disease initiation, progression, and treatment response, spanning from basic science to disease development, while taking a cross-tissue and cross-population perspective. We aim to cover a broad spectrum of research areas within the scope of multi-omics studies in brain diseases, encouraging submissions that are innovative, interdisciplinary, and have the potential to significantly advance our understanding and treatment of these complex conditions.
We welcome original research articles, systematic review, meta-analysis, clinical case studies, and review articles within the scope of the research topic. Bioinformatics studies are welcome; however, these should not be based solely on analysis of publicly available datasets such as TCGA. Topic of interests includes, but are not limited to the following:
• Genomic Landscapes and Brain Tumor Heterogeneity
• Epigenetic Signatures in Brain Tumor Classification
• Tumor Microenvironment
• Proteomic and Metabolomic Profiles in Brain Metastases
• Cross-Tissue Molecular Insights into Brain Metastases
• Neurodevelopmental Pathways in the adult and pediatric brain tumors
• Metabolic Reprogramming in Brain Pathologies
• Neurovascular Interactions in Brain Health and Disease
• Machine Learning and AI in Multi-Omics Data Analysis for Brain Diseases
• Longitudinal Omics Studies in Brain Disease Progression
• Comparative Omics of Neoplastic vs. Non-Neoplastic Brain Diseases
• Cross-Population Genetic Variability in Brain Tumor Incidence and Treatment Response
Keywords:
Brain complexities, Cancers, Non-Neoplastic Diseases, multi-omics research
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.