Kakkassery Vinodh, Gemoll Timo, Kraemer Miriam M, Sauer Thorben, Tura Aysegül, Ranjbar Mahdy, Grisanti Salvatore, Joachim Stephanie C, Mergler Stefan, Reinhard Jacqueline
Department of Ophthalmology, University of Luebeck, Ratzeburger Allee 160, 23538 Luebeck, Germany.
Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Luebeck and University Hospital Clinic Schleswig-Holstein, Ratzeburger Allee 160, 23538 Luebeck, Germany.
Int J Mol Sci. 2022 Apr 6;23(7):4058. doi: 10.3390/ijms23074058.
Chemotherapy resistance is one of the reasons for eye loss in patients with retinoblastoma (RB). RB chemotherapy resistance has been studied in different cell culture models, such as WERI-RB1. In addition, chemotherapy-resistant RB subclones, such as the etoposide-resistant WERI-ETOR cell line have been established to improve the understanding of chemotherapy resistance in RB. The objective of this study was to characterize cell line models of an etoposide-sensitive WERI-RB1 and its etoposide-resistant subclone, WERI-ETOR, by proteomic analysis. Subsequently, quantitative proteomics data served for correlation analysis with known drug perturbation profiles. Methodically, WERI-RB1 and WERI-ETOR were cultured, and prepared for quantitative mass spectrometry (MS). This was carried out in a data-independent acquisition (DIA) mode. The raw SWATH (sequential window acquisition of all theoretical mass spectra) files were processed using neural networks in a library-free mode along with machine-learning algorithms. Pathway-enrichment analysis was performed using the REACTOME-pathway resource, and correlated to the molecular signature database (MSigDB) hallmark gene set collections for functional annotation. Furthermore, a drug-connectivity analysis using the L1000 database was carried out to associate the mechanism of action (MOA) for different anticancer reagents to WERI-RB1/WERI-ETOR signatures. A total of 4756 proteins were identified across all samples, showing a distinct clustering between the groups. Of these proteins, 64 were significantly altered (q < 0.05 & log2FC |>2|, 22 higher in WERI-ETOR). Pathway analysis revealed the “retinoid metabolism and transport” pathway as an enriched metabolic pathway in WERI-ETOR cells, while the “sphingolipid de novo biosynthesis” pathway was identified in the WERI-RB1 cell line. In addition, this study revealed similar protein signatures of topoisomerase inhibitors in WERI-ETOR cells as well as ATPase inhibitors, acetylcholine receptor antagonists, and vascular endothelial growth factor receptor (VEGFR) inhibitors in the WERI-RB1 cell line. In this study, WERI-RB1 and WERI-ETOR were analyzed as a cell line model for chemotherapy resistance in RB using data-independent MS. Analysis of the global proteome identified activation of “sphingolipid de novo biosynthesis” in WERI-RB1, and revealed future potential treatment options for etoposide resistance in RB.
化疗耐药是视网膜母细胞瘤(RB)患者视力丧失的原因之一。人们已在不同的细胞培养模型(如WERI-RB1)中对RB化疗耐药性进行了研究。此外,还建立了化疗耐药的RB亚克隆,如依托泊苷耐药的WERI-ETOR细胞系,以增进对RB化疗耐药性的了解。本研究的目的是通过蛋白质组学分析来表征依托泊苷敏感的WERI-RB1及其依托泊苷耐药亚克隆WERI-ETOR的细胞系模型。随后,定量蛋白质组学数据用于与已知药物扰动谱进行相关性分析。具体方法是,培养WERI-RB1和WERI-ETOR,并为定量质谱分析(MS)做准备。这是以数据非依赖采集(DIA)模式进行的。原始的SWATH(所有理论质谱的顺序窗口采集)文件使用神经网络在无库模式下结合机器学习算法进行处理。使用REACTOME通路资源进行通路富集分析,并与分子特征数据库(MSigDB)特征基因集集合相关联以进行功能注释。此外,使用L1000数据库进行药物连接性分析,以将不同抗癌试剂的作用机制(MOA)与WERI-RB1/WERI-ETOR特征相关联。在所有样本中总共鉴定出4756种蛋白质,各样本组之间呈现出明显的聚类。在这些蛋白质中,有64种发生了显著变化(q < 0.05且|log2FC| > 2,WERI-ETOR中22种升高)。通路分析显示,“类视黄醇代谢和转运”通路是WERI-ETOR细胞中富集的代谢通路,而“鞘脂从头生物合成”通路则在WERI-RB1细胞系中被鉴定出来。此外,本研究还揭示了WERI-ETOR细胞中拓扑异构酶抑制剂以及WERI-RB1细胞系中ATP酶抑制剂、乙酰胆碱受体拮抗剂和血管内皮生长因子受体(VEGFR)抑制剂的相似蛋白质特征。在本研究中,使用数据非依赖MS将WERI-RB1和WERI-ETOR作为RB化疗耐药的细胞系模型进行分析。对整体蛋白质组的分析确定了WERI-RB1中“鞘脂从头生物合成”的激活,并揭示了RB中依托泊苷耐药未来可能的治疗选择。