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Can I read Learning the Distribution of Single-cell Chromosome Conformations in Bacteria Reveals Emergent Order Across Genomic Scales on EtoBox?
Learning the Distribution of Single-cell Chromosome Conformations in Bacteria Reveals Emergent Order Across Genomic Scales by Messelink, Joris J. B. (author);van Teeseling, Muriel C. F. (author);Janssen, Jacqueline (author);Thanbichler, Martin (author);Broedersz, Chase P. (author) is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Learning the Distribution of Single-cell Chromosome Conformations in Bacteria Reveals Emergent Order Across Genomic Scales about?
The order and variability of bacterial chromosome organization, contained within the distribution of chromosome conformations, are unclear. Here, we develop a fully data-driven maximum entropy approach to extract single-cell 3D chromosome conformations from Hi–C experiments on the model organism __Caulobacter crescentus__. The predictive power of our model is validated by independent experiments. We find that on large genomic scales, organizational features are predominantly present along the long cell axis: chromosomal loci exhibit striking long-ranged two-point axial correlations, indicating emergent order. This organization is associated with large genomic clusters we term Super Domains (SuDs), whose existence we support with super-resolution microscopy. On smaller genomic scales, our model reveals chromosome extensions that correlate with transcriptional and loop extrusion activity. Finally, we quantify the information contained in chromosome organization that may guide cellular processes. Our approach can be extended to other species, providing a general strategy to resolve variability in single-cell chromosomal organization.
Who reads Learning the Distribution of Single-cell Chromosome Conformations in Bacteria Reveals Emergent Order Across Genomic Scales?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Messelink, Joris J. B. (author);van Teeseling, Muriel C. F. (author);Janssen, Jacqueline (author);Thanbichler, Martin (author);Broedersz, Chase P. (author)
- Publisher
- Springer Science and Business Media LLC
- Published
- 2021
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)