p53motifDB:整合基因组信息和肿瘤抑制因子p53结合基序。

IF 3.6 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Gabriele Baniulyte, Sawyer M Hicks, Morgan A Sammons
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引用次数: 0

摘要

肿瘤抑制基因TP53编码DNA结合转录因子p53,是人类癌症中突变最多的基因之一。肿瘤抑制因子的活性需要p53与其DNA应答元件的结合,以及随后多种靶基因的转录激活。尽管经过数十年的深入研究,p53与其众多潜在的基因组结合位点和靶基因相互作用的逻辑尚未完全了解。在这里,我们提出了一个基于DNA和染色质的信息数据库,重点关注人类基因组中假定的p53结合位点,以允许用户生成和测试与基因组中p53活性相关的新假设。用户可以根据实验观察到的p53结合、调控元件活性、遗传变异、进化守恒、染色质修饰状态和染色质结构来查询基因组位置。我们提出了多个用例,展示了该数据库在产生新的生物学假设方面的效用,例如基于染色质的p53结合决定因素和潜在的细胞类型特异性p53活性。所有数据库信息也可以作为预编译的SQLite数据库用于本地分析或作为Shiny web应用程序。数据库地址:https://p53motifDB.its.albany.edu。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs.

p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs.

p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs.

p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs.

The tumour suppressor gene TP53 encodes the DNA binding transcription factor p53 and is one of the most mutated genes in human cancer. Tumour suppressor activity requires binding of p53 to its DNA response elements and subsequent transcriptional activation of a diverse set of target genes. Despite decades of close study, the logic underlying p53 interactions with its numerous potential genomic binding sites and target genes is not yet fully understood. Here, we present a database of DNA and chromatin-based information focused on putative p53 binding sites in the human genome to allow users to generate and test new hypotheses related to p53 activity in the genome. Users can query genomic locations based on experimentally observed p53 binding, regulatory element activity, genetic variation, evolutionary conservation, chromatin modification state, and chromatin structure. We present multiple use cases demonstrating the utility of this database for generating novel biological hypotheses, such as chromatin-based determinants of p53 binding and potential cell type-specific p53 activity. All database information is also available as a precompiled SQLite database for use in local analysis or as a Shiny web application. Database URL: https://p53motifDB.its.albany.edu.

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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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