Suppr超能文献

核小体定位数据中的核小体间势能。

Inter-nucleosomal potentials from nucleosomal positioning data.

机构信息

Institute for Theoretical Physics, Heidelberg University, Philosophenweg 19, D-69120, Heidelberg, Germany.

Department of Basic Science, Universidade Federal Fluminense, Rua Doutor Sílvio Henrique Braune 22, Centro, Nova Friburgo, 28625-650, Brazil.

出版信息

Eur Phys J E Soft Matter. 2022 Apr 11;45(4):33. doi: 10.1140/epje/s10189-022-00185-3.

Abstract

No systematic method exists to derive inter-nucleosomal potentials between nucleosomes along a chromosome consistently across a given genome. Such potentials can yield information on nucleosomal ordering, thermal as well as mechanical properties of chromosomes. Thus, indirectly, they shed light on a possible mechanical genomic code along a chromosome. To develop a method yielding effective inter-nucleosomal potentials between nucleosomes, a generalized Lennard-Jones potential for the parameterization is developed based on nucleosomal positioning data. This approach eliminates some of the problems that the underlying nucleosomal positioning data have, rendering the extraction difficult on the individual nucleosomal level. Furthermore, patterns on which to base a classification along a chromosome appear on larger domains, such as hetero- and euchromatin. An intuitive selection strategy for the noisy optimization problem is employed to derive effective exponents for the generalized potential. The method is tested on the Candida albicans genome. Applying k-means clustering based on potential parameters and thermodynamic compressibilities, a genome-wide clustering of nucleosome sequences is obtained for C. albicans. This clustering shows that a chromosome beyond the classical dichotomic categories of hetero- and euchromatin is more feature-rich.

摘要

目前,还没有一种系统的方法可以在给定的基因组中一致地推导出染色体上核小体之间的核小体间势。这种势可以提供关于核小体排列、染色体热和机械性质的信息。因此,间接地,它们揭示了沿染色体可能存在的机械基因组编码。为了开发一种能够产生有效核小体间势的方法,我们基于核小体定位数据开发了一种广义 Lennard-Jones 势能参数化方法。这种方法消除了潜在核小体定位数据存在的一些问题,使得在单个核小体水平上进行提取变得困难。此外,基于沿染色体的分类的模式出现在更大的域上,如异染色质和常染色质。我们采用了一种直观的选择策略来对噪声优化问题进行有效的指数推导。该方法在白色念珠菌基因组上进行了测试。基于势能参数和热力学压缩率应用 k-均值聚类,我们获得了白色念珠菌全基因组核小体序列的聚类。该聚类表明,一条染色体比经典的异染色质和常染色质二分法具有更多的特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d04/9001623/8039aaf89299/10189_2022_185_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验