About this Research Topic
In recent years, the rapid advancement of next-generation sequencing (NGS) technologies has provided invaluable insights into complex biological systems, spanning from human complex traits to diverse microbial communities and their interaction. Particularly, NGS-based approaches in genomics, transcriptomics, and epigenomics have increasingly shifted towards characterizing individual cells. Single-cell analyses, such as single-cell RNA sequencing (scRNA-seq), transposase-accessible chromatin with sequencing (scATAC-seq), and scATAC-seq combined with gene expression (scATAC+GEX), offer unprecedented opportunities to uncover new biological discoveries compared to traditional bulk profiling methods. These techniques enable the identification of rare cell populations, elucidation of regulatory relationships between genes, and tracking of distinct cell lineages during development. However, this shift presents technical challenges in single-cell isolation, library preparation, and computational analysis, necessitating further advancements to facilitate both basic science and medical applications.
This Research Topic aims to explore the application of cutting-edge sequencing technologies and computational approaches in unraveling the complexities of epigenomic and transcriptomic landscapes. We aim to explore innovative solutions to technical challenges, methodological limitations, and data analysis bottlenecks. By encouraging collaboration and innovation, we seek to advance our understanding of cellular regulation and disease pathogenesis to facilitate the translation of research findings into clinical and therapeutic applications.
We welcome contributions covering a wide array of topics, including but not limited to:
• Reliable and innovative sequencing protocols for detailed epigenomic and transcriptomic analysis at both bulk and single-cell levels.
• Advanced computational techniques to aid in the integration, normalization, and interpretation of complex datasets.
• Technological enhancements that tackle existing limits in terms of sensitivity, throughput, and cost-efficiency.
• New insights into cellular diversity, dynamics of cell-state transitions, and regulatory processes.
Manuscripts can be original research articles, reviews, methods, perspectives, or commentaries. We encourage submissions showcasing innovative approaches, novel findings, and potential clinical implications.
This Research Topic aims to explore the application of cutting-edge sequencing technologies and computational approaches in unraveling the complexities of epigenomic and transcriptomic landscapes. We aim to explore innovative solutions to technical challenges, methodological limitations, and data analysis bottlenecks. By encouraging collaboration and innovation, we seek to advance our understanding of cellular regulation and disease pathogenesis to facilitate the translation of research findings into clinical and therapeutic applications.
We welcome contributions covering a wide array of topics, including but not limited to:
• Reliable and innovative sequencing protocols for detailed epigenomic and transcriptomic analysis at both bulk and single-cell levels.
• Advanced computational techniques to aid in the integration, normalization, and interpretation of complex datasets.
• Technological enhancements that tackle existing limits in terms of sensitivity, throughput, and cost-efficiency.
• New insights into cellular diversity, dynamics of cell-state transitions, and regulatory processes.
Manuscripts can be original research articles, reviews, methods, perspectives, or commentaries. We encourage submissions showcasing innovative approaches, novel findings, and potential clinical implications.
Keywords: Epigenomics, Transcriptomics, Sequencing technologies, Single-cell sequencing, Sequencing data analysis
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.
