PLoS GeneticsGeneticsPeer-reviewed journal article
Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling
Guy NiriD, Irene FarabellaiD, Cynthia Pérez EstradaiD, Carl G. EbelingiD, Brian J. BeliveauiD, Hiroshi M. SasakiiD, S. Dean LeeiD, Son C. NguyeniD, Ruth B. McColeiD, Shyamtanu ChattorajiD, Jelena Erceg, Jumana AlHaj AbediD, Nuno M. C. MartinsiD, Huy Q. NguyeniD, Mohammed A. Hannan, Sheikh RusselliD, Neva C. DurandiD, Suhas S.P. RaoiD, Jocelyn Y. KishiiD, Paula Soler-VilaiD, Michele Di PierroiD, José N. OnuchiciD, Steven P. CallahaniD, John Michael SchreineriD, Jeff A. StuckeyiD, , Chao-ting WuiD
Abstract
Chromosome structure is thought to be crucial for proper functioning of the nucleus. Here, we present a method for visualizing chromosomal DNA at super-resolution and then integrating Hi-C data to produce three-dimensional models of chromosome organization. We begin by applying Oligopaint probes and the single-molecule localization microscopy methods of OligoSTORM and OligoDNA-PAINT to image 8 megabases of human chromosome 19, discovering that chromosomal regions contributing to compartments can form distinct structures. Intriguingly, our data also suggest that homologous maternal and paternal regions may be differentially organized. Finally, we integrate imaging data with Hi-C and restraint-based modeling using a method called integrative modeling of genomic regions (IMGR) to increase the genomic resolution of our traces to 10 kb.\n\nOne Sentence SummarySuper-resolution genome tracing, contact maps, and integrative modeling enable 10 kb resolution glimpses of chromosome folding.
- organism: human
- assay: Hi-C
- assay: imaging
- research focus: genome assembly
- research focus: spatial domain detection
- approach: experimental assay
- approach: statistical model
- Citations
- 261
- FWCI
- 14.22
- Field percentile
- top 1%
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