Spatial organization of the genome is central to cellular information processing. It has however proven difficult to relate local biochemical modifications within the chromatin to the broader organization, dynamics, and function of the genome. The difficulty of making these connections reflects the complexity of the underlying biology and several critical gaps in our capabilities to track multiple participating components in a complex cellular reaction at high spatiotemporal resolution.
The highly dynamic nature of the genome points to the need for tools that would allow us to generate a dynamic connectivity map of target loci at high spatiotemporal resolution, and relate such dynamics to the instantaneous transcriptional output of genes embedded in these regions. The last decade has seen a massive surge in the development of methods geared towards understanding cellular information processing at unprecedented resolution, by combining tools from the fields of Optogenetics, genome editing, polymer physics and single molecule imaging. These include new tags with unique functionalities for prolonged single molecule tracking inside cells, new approaches to study nuclear condensates using Optogenetics, multiplexed FISH platforms for spatial transcriptomics and genomics, kinetic analysis of transcription at single molecule level, and new microscopy capabilities to bridge different imaging modalities. We would like to invite researchers from the above-mentioned fields and other related disciplines to submit articles and reviews on the spatiotemporal dynamics of the genome and its regulators.
This Research Topic welcomes submissions including, but not limited to, the following themes:
• Optogenetic platforms designed to dissect chromatin dynamics, genome organization through phase separation, controlled recruitment and assembly of transcriptional regulators at defined genomic positions, and effects of induced promoter-enhancer interactions on transcription.
• In vitro and in vivo Single molecule imaging studies to look at genome organization at local and global scales
• Multiplexed FISH based approaches to study the connection between genome organization and gene expression at single cell level
• Polymer physical approaches for studying genome organization
• Machine learning approaches for studying genome organization
Spatial organization of the genome is central to cellular information processing. It has however proven difficult to relate local biochemical modifications within the chromatin to the broader organization, dynamics, and function of the genome. The difficulty of making these connections reflects the complexity of the underlying biology and several critical gaps in our capabilities to track multiple participating components in a complex cellular reaction at high spatiotemporal resolution.
The highly dynamic nature of the genome points to the need for tools that would allow us to generate a dynamic connectivity map of target loci at high spatiotemporal resolution, and relate such dynamics to the instantaneous transcriptional output of genes embedded in these regions. The last decade has seen a massive surge in the development of methods geared towards understanding cellular information processing at unprecedented resolution, by combining tools from the fields of Optogenetics, genome editing, polymer physics and single molecule imaging. These include new tags with unique functionalities for prolonged single molecule tracking inside cells, new approaches to study nuclear condensates using Optogenetics, multiplexed FISH platforms for spatial transcriptomics and genomics, kinetic analysis of transcription at single molecule level, and new microscopy capabilities to bridge different imaging modalities. We would like to invite researchers from the above-mentioned fields and other related disciplines to submit articles and reviews on the spatiotemporal dynamics of the genome and its regulators.
This Research Topic welcomes submissions including, but not limited to, the following themes:
• Optogenetic platforms designed to dissect chromatin dynamics, genome organization through phase separation, controlled recruitment and assembly of transcriptional regulators at defined genomic positions, and effects of induced promoter-enhancer interactions on transcription.
• In vitro and in vivo Single molecule imaging studies to look at genome organization at local and global scales
• Multiplexed FISH based approaches to study the connection between genome organization and gene expression at single cell level
• Polymer physical approaches for studying genome organization
• Machine learning approaches for studying genome organization