当前位置: X-MOL 学术Biosci. Rep. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Quantitative ubiquitylomics reveals the ubiquitination regulation landscape in oral adenoid cystic carcinoma.
Bioscience Reports ( IF 3.8 ) Pub Date : 2021-08-05 , DOI: 10.1042/bsr20211532
Wen Li 1, 2, 3 , Xiaobin Wang 1, 2, 3 , Qian Zhang 1, 2, 3 , Hanlin Wang 3 , Wenxin Zuo 4 , Hongliang Xie 4 , Jianming Tang 4 , Mengmeng Wang 4 , Zhipeng Zeng 4 , Wanxia Cai 4 , Donge Tang 4 , Yong Dai 4
Affiliation  

Adenoid cystic carcinoma (ACC) is an extremely rare salivary gland tumor with a poor prognosis and needs attention on molecular mechanisms. Protein ubiquitination is an evolutionarily conserved post-translational modification (PTM) for substrates degradation and control diverse cellular functions. The board cellular function of ubiquitination network holds great promise to detect potential targets and identify respective receptors. Novel technologies are discovered for in-depth research and characterization the precise and dynamic regulation of ubiquitylomics in multiple cellular processes during cancer initiation, progression and treatment. In this study, 4D label free quantitative techniques of ubiquitination proteomics were used and we identified a total of 4152 ubiquitination sites in 1993 proteins. We also performed a systematic bioinformatics analysis for differential modified proteins and peptides containing quantitative information through the comparation between OACC tumor with adjacent normal tissues, as well as the identification of 8 protein clusters with motif analysis. Our findings offered an important reference of potential biomarkers and effective therapeutic targets for ACC.

中文翻译:

定量泛素组学揭示了口腔腺样囊性癌的泛素化调控格局。

腺样囊性癌(ACC)是一种极为罕见的唾液腺肿瘤,预后较差,需要关注分子机制。蛋白质泛素化是一种进化上保守的翻译后修饰 (PTM),用于底物降解和控制多种细胞功能。泛素化网络的板细胞功能在检测潜在目标和识别相应受体方面具有很大的前景。发现新技术用于深入研究和表征泛素组学在癌症起始、进展和治疗过程中多个细胞过程中的精确和动态调节。在这项研究中,使用了泛素化蛋白质组学的 4D 无标记定量技术,我们在 1993 种蛋白质中总共鉴定了 4152 个泛素化位点。我们还通过 OACC 肿瘤与相邻正常组织之间的比较,以及通过基序分析识别 8 个蛋白质簇,对包含定量信息的差异修饰蛋白质和肽进行了系统的生物信息学分析。我们的研究结果为 ACC 的潜在生物标志物和有效治疗靶点提供了重要参考。
更新日期:2021-08-05
down
wechat
bug