绝缘子CTCF及其旁系CTCFL (BORIS)在癌症中的分子病变:来自已发表的基因组研究的分析。

Q2 Biochemistry, Genetics and Molecular Biology High-Throughput Pub Date : 2018-10-01 DOI:10.3390/ht7040030
Ioannis A Voutsadakis
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引用次数: 9

摘要

CTCF (CCCTC-binding factor)是一种转录调节剂,在人类基因组中有数百个结合位点。它的主要功能是作为绝缘体蛋白,与内聚蛋白一起定义称为拓扑相关结构域(TADs)的基因组区域的边界。TAD包含调控元件,如增强子,其功能是调控TAD边界内基因的转录,而限制它们调节这些边界外的基因。本文将利用已发表的基因组研究的公开数据,研究癌症中最常见的CTCF遗传病变及其相关蛋白CTCFL (CTCF样也称为BORIS)。这两种基因异常更常见的癌症类型将被检查是否与潜在的修复缺陷或其他普遍的遗传病变有关。CTCF和CTCFL病变中可能的功能影响也将被探讨。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Molecular Lesions of Insulator CTCF and Its Paralogue CTCFL (BORIS) in Cancer: An Analysis from Published Genomic Studies.

CTCF (CCCTC-binding factor) is a transcription regulator with hundreds of binding sites in the human genome. It has a main function as an insulator protein, defining together with cohesins the boundaries of areas of the genome called topologically associating domains (TADs). TADs contain regulatory elements such as enhancers which function as regulators of the transcription of genes inside the boundaries of the TAD while they are restricted from regulating genes outside these boundaries. This paper will examine the most common genetic lesions of CTCF as well as its related protein CTCFL (CTCF-like also called BORIS) in cancer using publicly available data from published genomic studies. Cancer types where abnormalities in the two genes are more common will be examined for possible associations with underlying repair defects or other prevalent genetic lesions. The putative functional effects in CTCF and CTCFL lesions will also be explored.

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来源期刊
High-Throughput
High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays
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