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TSA-Seq Mapping of Nuclear Genome Organization

Authors :
Robert D. Goldman
Eva K. Brinkman
Yuchuan Wang
Liguo Zhang
Stephen A. Adam
Jian Ma
Yang Zhang
Bas van Steensel
Yu Chen
Andrew S. Belmont
Publication Year :
2018
Publisher :
Cold Spring Harbor Laboratory, 2018.

Abstract

SummaryWhile nuclear compartmentalization is an essential feature of three-dimensional genome organization, no genomic method exists for measuring chromosome distances to defined nuclear structures. Here we describe TSA-Seq, a new mapping method able to estimate mean chromosomal distances from nuclear speckles genome-wide and predict several Mbp chromosome trajectories between nuclear compartments without sophisticated computational modeling. Ensemble-averaged results 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, house-keeping 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 nuclear spatial organization of transcription.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....d2586b6bb52fa432d4b4393a5d463ba3
Full Text :
https://doi.org/10.1101/307892