Institute of Biomedical Chemistry, Moscow 119121, Russia.
Int J Mol Sci. 2023 Jun 15;24(12):10190. doi: 10.3390/ijms241210190.
Functions of about 10% of all the proteins and their associations with diseases are poorly annotated or not annotated at all. Among these proteins, there is a group of uncharacterized chromosome-specific open-reading frame genes (CxORFx) from the 'Tdark' category. The aim of the work was to reveal associations of CxORFx gene expression and ORF proteins' subinteractomes with cancer-driven cellular processes and molecular pathways. We performed systems biology and bioinformatic analysis of 219 differentially expressed CxORFx genes in cancers, an estimation of prognostic significance of novel transcriptomic signatures and analysis of subinteractome composition using several web servers (GEPIA2, KMplotter, ROC-plotter, TIMER, cBioPortal, DepMap, EnrichR, PepPSy, cProSite, WebGestalt, CancerGeneNet, PathwAX II and FunCoup). The subinteractome of each ORF protein was revealed using ten different data sources on physical protein-protein interactions (PPIs) to obtain representative datasets for the exploration of possible cellular functions of ORF proteins through a spectrum of neighboring annotated protein partners. A total of 42 out of 219 presumably cancer-associated ORF proteins and 30 cancer-dependent binary PPIs were found. Additionally, a bibliometric analysis of 204 publications allowed us to retrieve biomedical terms related to ORF genes. In spite of recent progress in functional studies of ORF genes, the current investigations aim at finding out the prognostic value of CxORFx expression patterns in cancers. The results obtained expand the understanding of the possible functions of the poorly annotated CxORFx in the cancer context.
约 10%的蛋白质及其与疾病的关联功能的注释很差或根本没有注释。在这些蛋白质中,有一组来自“Tdark”类别的未表征的染色体特异性开放阅读框基因(CxORFx)。这项工作的目的是揭示 CxORFx 基因表达和 ORF 蛋白亚相互作用组与癌症驱动的细胞过程和分子途径的关联。我们对癌症中 219 个差异表达的 CxORFx 基因进行了系统生物学和生物信息学分析,估计了新转录组特征的预后意义,并使用几个网络服务器(GEPIA2、KMplotter、ROC-plotter、TIMER、cBioPortal、DepMap、EnrichR、PepPSy、cProSite、WebGestalt、CancerGeneNet、PathwAX II 和 FunCoup)分析了亚相互作用组的组成。使用十种不同的物理蛋白质-蛋白质相互作用(PPIs)数据来源揭示了每个 ORF 蛋白的亚相互作用组,以获得代表性数据集,通过一系列相邻注释蛋白伴侣探索 ORF 蛋白的可能细胞功能。总共发现了 219 个推定与癌症相关的 ORF 蛋白中的 42 个和 30 个癌症依赖的二元 PPIs。此外,对 204 篇出版物的文献计量学分析使我们能够检索与 ORF 基因相关的生物医学术语。尽管最近在 ORF 基因的功能研究方面取得了进展,但目前的研究旨在确定 CxORFx 在癌症中的表达模式的预后价值。所得结果扩展了对癌症背景下 poorly 注释的 CxORFx 可能功能的理解。