Modeling Three-Dimensional Chromosome Structures Using Gene Expression Data.

ABSTRACT: Recent genomic studies have shown that significant chromosomal spatial correlation exists in gene expression of many organisms. Interestingly, coexpression has been observed among genes separated by a fixed interval in specific regions of a chromosome chain, which is likely caused by three-dimensional (3D) chromosome folding structures. Modeling such spatial correlation explicitly may lead to essential understandings of 3D chromosome structures and their roles in transcriptional regulation. In this paper, we explore chromosomal spatial correlation induced by 3D chromosome structures, and propose a hierarchical Bayesian method based on helical structures to formally model and incorporate the correlation into the analysis of gene expression microarray data. It is the first study to quantify

SUBMITTER: Xiao G 

PROVIDER: S-EPMC3134274 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature