1. Single-cell measurement of higher-order 3D genome organization with scSPRITE
- Author
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Charlotte Lai, Mitchell Guttman, Matthew S. Curtis, Joanna W. Jachowicz, Mary V. Arrastia, David A. Selck, Rustem F. Ismagilov, Noah Ollikainen, and Sofia A. Quinodoz
- Subjects
Population ,Biomedical Engineering ,Bioengineering ,Computational biology ,Biology ,Applied Microbiology and Biotechnology ,Genome ,chemistry.chemical_compound ,Mice ,medicine ,Animals ,education ,Genomic organization ,Cell Nucleus ,education.field_of_study ,Chromosome ,Mouse Embryonic Stem Cells ,DNA ,Embryonic stem cell ,Chromatin ,Order (biology) ,medicine.anatomical_structure ,chemistry ,Molecular Medicine ,Nucleus ,Biotechnology - Abstract
Although three-dimensional (3D) genome organization is central to many aspects of nuclear function, it has been difficult to measure at the single-cell level. To address this, we developed 'single-cell split-pool recognition of interactions by tag extension' (scSPRITE). scSPRITE uses split-and-pool barcoding to tag DNA fragments in the same nucleus and their 3D spatial arrangement. Because scSPRITE measures multiway DNA contacts, it generates higher-resolution maps within an individual cell than can be achieved by proximity ligation. We applied scSPRITE to thousands of mouse embryonic stem cells and detected known genome structures, including chromosome territories, active and inactive compartments, and topologically associating domains (TADs) as well as long-range inter-chromosomal structures organized around various nuclear bodies. We observe that these structures exhibit different levels of heterogeneity across the population, with TADs representing dynamic units of genome organization across cells. We expect that scSPRITE will be a critical tool for studying genome structure within heterogeneous populations.
- Published
- 2022