Chakravorty Debangana, Jana Tanmoy, Das Mandal Sukhen, Seth Anuradha, Bhattacharya Anubrata, Saha Sudipto
Bioinformatics Centre, Bose Institute, P 1/12, C.I.T. Road, Scheme-VII (M), Kolkata, 700054, India.
Current Address: Department of Biological sciences, Indian Institute of Science Education and Research, Kolkata, India.
BMC Bioinformatics. 2017 Apr 28;18(1):224. doi: 10.1186/s12859-017-1652-6.
Myc is an essential gene having multiple functions such as in cell growth, differentiation, apoptosis, genomic stability, angiogenesis, and disease biology. A large number of researchers dedicated to Myc biology are generating a substantial amount of data in normal and cancer cells/tissues including Burkitt's lymphoma and ovarian cancer.
MYCbase ( http://bicresources.jcbose.ac.in/ssaha4/mycbase ) is a collection of experimentally supported functional sites in Myc that can influence the biological cellular processes. The functional sites were compiled according to their role which includes mutation, methylation pattern, post-translational modifications, protein-protein interactions (PPIs), and DNA interactions. In addition, biochemical properties of Myc are also compiled, which includes metabolism/pathway, protein abundance, and modulators of protein-protein interactions. The OMICS data related to Myc- like gene expression, proteomics expression using mass-spectrometry and miRNAs targeting Myc were also compiled in MYCbase. The mutation and pathway data from the MYCbase were analyzed to look at the patterns and distributions across different diseases. There were few proteins/genes found common in Myc-protein interactions and Myc-DNA binding, and these can play a significant role in transcriptional feedback loops.
In this report, we present a comprehensive integration of relevant information regarding Myc in the form of MYCbase. The data compiled in MYCbase provides a reliable data resource for functional sites at the residue level and biochemical properties of Myc in various cancers.
Myc 是一个具有多种功能的关键基因,如在细胞生长、分化、凋亡、基因组稳定性、血管生成和疾病生物学等方面。大量致力于 Myc 生物学研究的人员正在正常细胞和癌细胞/组织(包括伯基特淋巴瘤和卵巢癌)中生成大量数据。
MYCbase(http://bicresources.jcbose.ac.in/ssaha4/mycbase)是 Myc 中实验支持的功能位点的集合,这些功能位点可影响细胞生物学过程。功能位点根据其作用进行分类,包括突变、甲基化模式、翻译后修饰、蛋白质 - 蛋白质相互作用(PPI)和 DNA 相互作用。此外,还汇编了 Myc 的生化特性,包括代谢/途径、蛋白质丰度以及蛋白质 - 蛋白质相互作用的调节剂。与 Myc 样基因表达、使用质谱的蛋白质组学表达以及靶向 Myc 的 microRNA 相关的组学数据也被汇编到 MYCbase 中。对 MYCbase 中的突变和途径数据进行了分析,以研究不同疾病中的模式和分布。在 Myc - 蛋白质相互作用和 Myc - DNA 结合中发现了少数共同的蛋白质/基因,这些在转录反馈环中可能发挥重要作用。
在本报告中,我们以 MYCbase 的形式展示了关于 Myc 的相关信息的全面整合。MYCbase 中汇编的数据为各种癌症中 Myc 在残基水平的功能位点和生化特性提供了可靠的数据资源。