Lao Yuanxiang, Jin Yirong, Wu Songfeng, Fang Ting, Wang Qiang, Sun Longqin, Sun Beicheng
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Anhui Province Key Laboratory of Tumor Immune Microenvironment and Immunotherapy, Innovative Institute of Tumor Immunity and Medicine (ITIM), Hefei, Anhui, China.
Mol Cancer. 2024 Dec 28;23(1):283. doi: 10.1186/s12943-024-02199-1.
Posttranslational modifications (PTMs) play critical roles in hepatocellular carcinoma (HCC). However, the locations of PTM-modified sites across protein secondary structures and regulatory patterns in HCC remain largely uncharacterized.
Total proteome and nine PTMs (phosphorylation, acetylation, crotonylation, ubiquitination, lactylation, N-glycosylation, succinylation, malonylation, and β-hydroxybutyrylation) in tumor sections and paired normal adjacent tissues derived from 18 HCC patients were systematically profiled by 4D-Label free proteomics analysis combined with PTM-based peptide enrichment.
We detected robust preferences in locations of intrinsically disordered protein regions (IDRs) with phosphorylated sites and other site biases to locate in folded regions. Integrative analyses revealed that phosphorylated and multiple acylated-modified sites are enriched in proteins containing RRM1 domain, and RNA splicing is the key feature of this subset of proteins, as indicated by phosphorylation and acylation of splicing factor NCL at multiple residues. We confirmed that NCL-S67, K398, and K646 cooperate to regulate RNA processing.
Together, this proteome profiling represents a comprehensive study detailing regulatory patterns based on multiple PTMs of HCC.
翻译后修饰(PTMs)在肝细胞癌(HCC)中发挥着关键作用。然而,HCC中蛋白质二级结构上PTM修饰位点的位置以及调控模式在很大程度上仍未得到充分表征。
通过4D无标记蛋白质组学分析结合基于PTM的肽段富集技术,对来自18例HCC患者的肿瘤组织切片及配对的正常相邻组织中的总蛋白质组和9种PTMs(磷酸化、乙酰化、巴豆酰化、泛素化、乳酰化、N-糖基化、琥珀酰化、丙二酰化和β-羟基丁酰化)进行了系统分析。
我们检测到磷酸化位点在内在无序蛋白区域(IDRs)的位置存在强烈偏好,其他位点则倾向于定位在折叠区域。综合分析表明,磷酸化和多种酰化修饰位点在含有RRM1结构域的蛋白质中富集,并且RNA剪接是这一蛋白质亚群的关键特征,剪接因子NCL多个残基的磷酸化和酰化表明了这一点。我们证实NCL-S67、K398和K646共同调节RNA加工。
总之,这项蛋白质组分析代表了一项基于HCC多种PTMs详细阐述调控模式的全面研究。