Population-based 3D genome structure analysis reveals driving forces in spatial genome organization

Conformation capture technologies (e.g., Hi-C) chart physical interactions between chromatin regions on a genome-wide scale. However, the structural variability of the genome between cells poses a great challenge to interpreting ensemble-averaged Hi-C data, particularly for long-range and interchrom...

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Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS 2016-03, Vol.113 (12), p.E1663-E1672
Hauptverfasser:	Tjong, Harianto, Li, Wenyuan, Kalhor, Reza, Dai, Chao, Hao, Shengli, Gong, Ke, Zhou, Yonggang, Li, Haochen, Zhou, Xianghong Jasmine, Le Gros, Mark A., Larabell, Carolyn A., Chen, Lin, Alber, Frank
Format:	Artikel
Sprache:	eng
Schlagworte:	3D genome organization Animals BASIC BIOLOGICAL SCIENCES Biological Evolution Biological Sciences Cell Line Cells Centromere - ultrastructure centromere clustering Chromatin Chromatin - genetics Chromatin - ultrastructure Chromosome Positioning Chromosomes Chromosomes - genetics Chromosomes - ultrastructure Chromosomes, Human - genetics Chromosomes, Human - ultrastructure Diploidy genome structure modeling Genome, Human Genomes Heterochromatin - ultrastructure Hi-C data analysis human genome Humans Imaging, Three-Dimensional - methods In Situ Hybridization, Fluorescence Likelihood Functions Lymphocytes - ultrastructure Metagenomics - methods PNAS Plus Primates - genetics Single-Cell Analysis Stochastic models Stochastic Processes Tomography, X-Ray - methods
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