• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

真核生物基因组中组蛋白序列偏好的体外与体内组成景观。

In vitro versus in vivo compositional landscapes of histone sequence preferences in eucaryotic genomes.

机构信息

Dipartimento di Matematica ed Informatica, Università degli Studi di Palermo, Palermo, Italy.

Computational Biology Center, IBM T. J. Watson Research, Yorktown Heights, NY, USA.

出版信息

Bioinformatics. 2018 Oct 15;34(20):3454-3460. doi: 10.1093/bioinformatics/bty799.

DOI:10.1093/bioinformatics/bty799
PMID:30204840
Abstract

MOTIVATION

Although the nucleosome occupancy along a genome can be in part predicted by in vitro experiments, it has been recently observed that the chromatin organization presents important differences in vitro with respect to in vivo. Such differences mainly regard the hierarchical and regular structures of the nucleosome fiber, whose existence has long been assumed, and in part also observed in vitro, but that does not apparently occur in vivo. It is also well known that the DNA sequence has a role in determining the nucleosome occupancy. Therefore, an important issue is to understand if, and to what extent, the structural differences in the chromatin organization between in vitro and in vivo have a counterpart in terms of the underlying genomic sequences.

RESULTS

We present the first quantitative comparison between the in vitro and in vivo nucleosome maps of two model organisms (S. cerevisiae and C. elegans). The comparison is based on the construction of weighted k-mer dictionaries. Our findings show that there is a good level of sequence conservation between in vitro and in vivo in both the two organisms, in contrast to the abovementioned important differences in chromatin structural organization. Moreover, our results provide evidence that the two organisms predispose themselves differently, in terms of sequence composition and both in vitro and in vivo, for the nucleosome occupancy. This leads to the conclusion that, although the notion of a genome encoding for its own nucleosome occupancy is general, the intrinsic histone k-mer sequence preferences tend to be species-specific.

AVAILABILITY AND IMPLEMENTATION

The files containing the dictionaries and the main results of the analysis are available at http://math.unipa.it/rombo/material.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

尽管核小体在基因组上的占有率可以部分通过体外实验预测,但最近观察到,与体内相比,染色质组织在体外呈现出重要的差异。这些差异主要涉及核小体纤维的层次和规则结构,这种结构的存在早已被假设,部分也在体外观察到,但在体内显然不存在。众所周知,DNA 序列在决定核小体占有率方面起着作用。因此,一个重要的问题是要了解在体内和体外染色质组织的结构差异在多大程度上与潜在的基因组序列相对应。

结果

我们首次对两种模式生物(酿酒酵母和秀丽隐杆线虫)的体外和体内核小体图谱进行了定量比较。这种比较是基于构建加权 k-mer 字典。我们的发现表明,在两种生物中,体内和体外的序列都有很好的保守性,而染色质结构组织的上述重要差异则相反。此外,我们的结果提供了证据,表明这两种生物在序列组成方面以及在体内和体外都以不同的方式为核小体占有率做好了准备。这就得出了这样的结论,尽管基因组编码自身核小体占有率的概念是普遍的,但内在的组蛋白 k-mer 序列偏好往往是物种特异性的。

可用性和实现

包含字典和分析主要结果的文件可在 http://math.unipa.it/rombo/material 上获得。

补充信息

补充数据可在生物信息学在线获得。

相似文献

1
In vitro versus in vivo compositional landscapes of histone sequence preferences in eucaryotic genomes.真核生物基因组中组蛋白序列偏好的体外与体内组成景观。
Bioinformatics. 2018 Oct 15;34(20):3454-3460. doi: 10.1093/bioinformatics/bty799.
2
Epigenomic k-mer dictionaries: shedding light on how sequence composition influences in vivo nucleosome positioning.表观基因组k-mer字典:揭示序列组成如何影响体内核小体定位。
Bioinformatics. 2015 Sep 15;31(18):2939-46. doi: 10.1093/bioinformatics/btv295. Epub 2015 May 25.
3
The DNA-encoded nucleosome organization of a eukaryotic genome.真核生物基因组的DNA编码核小体组织
Nature. 2009 Mar 19;458(7236):362-6. doi: 10.1038/nature07667. Epub 2008 Dec 17.
4
Global remodeling of nucleosome positions in C. elegans.线虫中核小体位置的全局重塑。
BMC Genomics. 2013 Apr 26;14:284. doi: 10.1186/1471-2164-14-284.
5
Are nucleosome positions in vivo primarily determined by histone-DNA sequence preferences?体内核小体位置主要由组蛋白-DNA 序列偏好决定吗?
Nucleic Acids Res. 2010 Jan;38(3):709-19. doi: 10.1093/nar/gkp1043. Epub 2009 Nov 24.
6
Structural features based genome-wide characterization and prediction of nucleosome organization.基于结构特征的全基因组核小体组织特征分析和预测
BMC Bioinformatics. 2012 Mar 26;13:49. doi: 10.1186/1471-2105-13-49.
7
Prediction of nucleosome positioning in genomes: limits and perspectives of physical and bioinformatic approaches.基因组中核小体定位的预测:物理和生物信息学方法的局限性和展望。
J Biomol Struct Dyn. 2010 Jun;27(6):747-64. doi: 10.1080/07391102.2010.10508583.
8
LeNup: learning nucleosome positioning from DNA sequences with improved convolutional neural networks.LeNup:利用改进的卷积神经网络从 DNA 序列学习核小体定位。
Bioinformatics. 2018 May 15;34(10):1705-1712. doi: 10.1093/bioinformatics/bty003.
9
Modeling interactions between adjacent nucleosomes improves genome-wide predictions of nucleosome occupancy.模拟相邻核小体之间的相互作用可改善全基因组核小体占据率的预测。
Bioinformatics. 2009 Jun 15;25(12):i348-55. doi: 10.1093/bioinformatics/btp216.
10
A single fiber view of the nucleosome organization in eukaryotic chromatin.真核染色质中核小体组织的单纤维视角。
Nucleic Acids Res. 2024 Jan 11;52(1):166-185. doi: 10.1093/nar/gkad1098.

引用本文的文献

1
Galaxy Dnpatterntools for Computational Analysis of Nucleosome Positioning Sequence Patterns.星系 Dnpatterntools 用于核小体定位序列模式的计算分析。
Int J Mol Sci. 2022 Apr 28;23(9):4869. doi: 10.3390/ijms23094869.
2
CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification.CORENup:一种卷积和循环深度神经网络的组合,用于核小体定位识别。
BMC Bioinformatics. 2020 Sep 16;21(Suppl 8):326. doi: 10.1186/s12859-020-03627-x.
3
Nucleosome positioning sequence patterns as packing or regulatory.
核小体定位序列模式作为包装或调节。
PLoS Comput Biol. 2020 Jan 27;16(1):e1007365. doi: 10.1371/journal.pcbi.1007365. eCollection 2020 Jan.
4
Analyzing big datasets of genomic sequences: fast and scalable collection of k-mer statistics.分析基因组序列的大数据集:快速可扩展的 k-mer 统计信息收集。
BMC Bioinformatics. 2019 Apr 18;20(Suppl 4):138. doi: 10.1186/s12859-019-2694-8.
5
FEDRO: a software tool for the automatic discovery of candidate ORFs in plants with c →u RNA editing.FEDRO:一种用于自动发现具有 c→u RNA 编辑的植物中候选 ORF 的软件工具。
BMC Bioinformatics. 2019 Apr 18;20(Suppl 4):124. doi: 10.1186/s12859-019-2696-6.