Schmeier Sebastian, Alam Tanvir, Essack Magbubah, Bajic Vladimir B
Massey University Auckland, Institute of Natural and Mathematical Sciences, Auckland, New Zealand.
King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Thuwal, Kingdom of Saudi Arabia.
Nucleic Acids Res. 2017 Jan 4;45(D1):D145-D150. doi: 10.1093/nar/gkw1007. Epub 2016 Oct 26.
Transcription factors (TFs) play a pivotal role in transcriptional regulation, making them crucial for cell survival and important biological functions. For the regulation of transcription, interactions of different regulatory proteins known as transcription co-factors (TcoFs) and TFs are essential in forming necessary protein complexes. Although TcoFs themselves do not bind DNA directly, their influence on transcriptional regulation and initiation, although indirect, has been shown to be significant, with the functionality of TFs strongly influenced by the presence of TcoFs. In the TcoF-DB v2 database, we collect information on TcoFs. In this article, we describe updates and improvements implemented in TcoF-DB v2. TcoF-DB v2 provides several new features that enables exploration of the roles of TcoFs. The content of the database has significantly expanded, and is enriched with information from Gene Ontology, biological pathways, diseases and molecular signatures. TcoF-DB v2 now includes many more TFs; has substantially increased the number of human TcoFs to 958, and now includes information on mouse (418 new TcoFs). TcoF-DB v2 enables the exploration of information on TcoFs and allows investigations into their influence on transcriptional regulation in humans and mice. TcoF-DB v2 can be accessed at http://tcofdb.org/.
转录因子(TFs)在转录调控中起着关键作用,使其对细胞存活和重要生物学功能至关重要。对于转录调控而言,被称为转录辅因子(TcoFs)的不同调控蛋白与TFs之间的相互作用对于形成必要的蛋白质复合物至关重要。尽管TcoFs本身并不直接结合DNA,但它们对转录调控和起始的影响虽间接却已被证明是显著的,TFs的功能会受到TcoFs存在的强烈影响。在TcoF-DB v2数据库中,我们收集了有关TcoFs的信息。在本文中,我们描述了TcoF-DB v2中实施的更新和改进。TcoF-DB v2提供了几个新功能,能够探索TcoFs的作用。该数据库的内容已大幅扩展,并丰富了来自基因本体论、生物途径、疾病和分子特征的信息。TcoF-DB v2现在包含了更多的TFs;人类TcoFs的数量大幅增加至958个,并且现在包含了有关小鼠的信息(418个新的TcoFs)。TcoF-DB v2能够探索有关TcoFs的信息,并允许研究它们对人类和小鼠转录调控的影响。可通过http://tcofdb.org/访问TcoF-DB v2。