NatureGenomicsPeer-reviewed journal article
An integrated view of the structure and function of the human 4D nucleome
Job DekkeriD, Betül Akgöl OksuziD, Yang ZhangiD, Ye WangiD, Miriam K. MinskiD, Shuzhen KuangiD, Liyan YangiD, Johan Harmen GibcusiD, Nils KrietensteiniD, Oliver J. RandoiD, Jie XuiD, Derek H. JanssensiD, Steven HenikoffiD, Alexander KukaleviD, Andréa WilleminiD, Warren Winick‐NgiD, Rieke KempferiD, Ana PomboiD, Miao YuiD, Pradeep KumariD, Liguo ZhangiD, Andrew S. BelmontiD, Takayo SasakiiD, Tom van SchaikiD, Laura BrueckneriD, , Feng YueiD
Abstract
The dynamic three-dimensional (3D) organization of the human genome (the "4D Nucleome") is closely linked to genome function. Here, we integrate a wide variety of genomic data generated by the 4D Nucleome Project to provide a detailed view of human 3D genome organization in widely used embryonic stem cells (H1-hESCs) and immortalized fibroblasts (HFFc6). We provide extensive benchmarking of 3D genome mapping assays and integrate these diverse datasets to annotate spatial genomic features across scales. The data reveal a rich complexity of chromatin domains and their sub-nuclear positions, and over one hundred thousand structural loops and promoter-enhancer interactions. We developed 3D models of population-based and individual cell-to-cell variation in genome structure, establishing connections between chromosome folding, nuclear organization, chromatin looping, gene transcription, and DNA replication. We demonstrate the use of computational methods to predict genome folding from DNA sequence, uncovering potential effects of genetic variants on genome structure and function. Together, this comprehensive analysis contributes insights into human genome organization and enhances our understanding of connections between the regulation of genome function and 3D genome organization in general.
- organism: human
- assay: Hi-C
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- research focus: benchmarking
- approach: statistical model
- approach: simulation
- Citations
- 62
- FWCI
- 18.34
- Field percentile
- top 1%
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