Mapping 3D genome organization relative to nuclear compartments using TSA-Seq as a cytological ruler.

Mapping 3D genome organization relative to nuclear compartments using TSA-Seq as a cytological ruler.
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DOI:
10.1083/jcb.201807108
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发表时间:
2018-11-05
期刊:
The Journal of cell biology
影响因子:
--
通讯作者:
Belmont AS
Belmont AS
中科院分区:
其他
文献类型:
--
作者:
Chen Y;Zhang Y;Wang Y;Zhang L;Brinkman EK;Adam SA;Goldman R;van Steensel B;Ma J;Belmont AS

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Chen et al. present TSA-Seq, a new mapping method that measures cytological distances relative to spatially distinct nuclear subcompartments. From novel nuclear organization maps of human cells, they identify transcription hot zones of high gene density that are near nuclear speckles and enriched in highly expressed genes, housekeeping genes, and genes with low transcriptional pausing. While nuclear compartmentalization is an essential feature of three-dimensional genome organization, no genomic method exists for measuring chromosome distances to defined nuclear structures. In this study, we describe TSA-Seq, a new mapping method capable of providing a “cytological ruler” for estimating mean chromosomal distances from nuclear speckles genome-wide and for predicting several Mbp chromosome trajectories between nuclear compartments without sophisticated computational modeling. Ensemble-averaged results in K562 cells reveal a clear nuclear lamina to speckle axis correlated with a striking spatial gradient in genome activity. This gradient represents a convolution of multiple spatially separated nuclear domains including two types of transcription “hot zones.” Transcription hot zones protruding furthest into the nuclear interior and positioning deterministically very close to nuclear speckles have higher numbers of total genes, the most highly expressed genes, housekeeping genes, genes with low transcriptional pausing, and super-enhancers. Our results demonstrate the capability of TSA-Seq for genome-wide mapping of nuclear structure and suggest a new model for spatial organization of transcription and gene expression.
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