Serra François, Di Stefano Marco, Spill Yannick G, Cuartero Yasmina, Goodstadt Michael, Baù Davide, Marti-Renom Marc A
Genome Biology Group, Centre Nacional d'Anàlisi Genòmica (CNAG), Barcelona, Spain; Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona, Spain.
Genome Biology Group, Centre Nacional d'Anàlisi Genòmica (CNAG), Barcelona, Spain; Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
FEBS Lett. 2015 Oct 7;589(20 Pt A):2987-95. doi: 10.1016/j.febslet.2015.05.012. Epub 2015 May 14.
Chromosomes are large polymer molecules composed of nucleotides. In some species, such as humans, this polymer can sum up to meters long and still be properly folded within the nuclear space of few microns in size. The exact mechanisms of how the meters long DNA is folded into the nucleus, as well as how the regulatory machinery can access it, is to a large extend still a mystery. However, and thanks to newly developed molecular, genomic and computational approaches based on the Chromosome Conformation Capture (3C) technology, we are now obtaining insight on how genomes are spatially organized. Here we review a new family of computational approaches that aim at using 3C-based data to obtain spatial restraints for modeling genomes and genomic domains.
染色体是由核苷酸组成的大型聚合物分子。在一些物种中，比如人类，这种聚合物的长度可达数米，却仍能在尺寸仅为几微米的细胞核空间内正确折叠。长达数米的DNA是如何折叠进细胞核的，以及调控机制又是如何能够触及它的，确切机制在很大程度上仍是个谜。然而，得益于基于染色体构象捕获（3C）技术新开发的分子、基因组和计算方法，我们现在正在深入了解基因组是如何进行空间组织的。在此，我们综述了一个新的计算方法家族，其旨在利用基于3C的数据来获取用于构建基因组和基因组结构域模型的空间限制条件。
