Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data

被引:727
|
作者
Dekker, Job [1 ]
Marti-Renom, Marc A. [2 ,3 ]
Mirny, Leonid A. [4 ,5 ]
机构
[1] Univ Massachusetts, Sch Med, Dept Mol Pharmacol & Biochem, Program Syst Biol, Worcester, MA 01605 USA
[2] CNAG, Genome Biol Grp, Barcelona 080828, Spain
[3] CRG, Gene Regulat Stem Cells & Canc Program, Barcelona 08003, Spain
[4] MIT, Inst Med Engn & Sci, Cambridge, MA 02139 USA
[5] MIT, Dept Phys, Cambridge, MA 02139 USA
基金
美国国家卫生研究院;
关键词
CHROMOSOME CONFORMATION CAPTURE; LONG-RANGE INTERACTION; GLOBIN LOCUS REQUIRES; TRANSCRIPTION FACTORIES; NUCLEAR-ORGANIZATION; SPATIAL-ORGANIZATION; GENE-EXPRESSION; POLYMER MODELS; REVEALS; DOMAINS;
D O I
10.1038/nrg3454
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
How DNA is organized in three dimensions inside the cell nucleus and how this affects the ways in which cells access, read and interpret genetic information are among the longest standing questions in cell biology. Using newly developed molecular, genomic and computational approaches based on the chromosome conformation capture technology (such as 3C, 4C, 5C and Hi-C), the spatial organization of genomes is being explored at unprecedented resolution. Interpreting the increasingly large chromatin interaction data sets is now posing novel challenges. Here we describe several types of statistical and computational approaches that have recently been developed to analyse chromatin interaction data.
引用
收藏
页码:390 / 403
页数:14
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