Dataset Information

Protein profiling of WERI RB1 and etoposide resistant WERI ETOR reveals new insights to overcome topoisomerase inhibitor resistance in retinoblastoma

ABSTRACT: Chemotherapy resistance is one of the reasons for the loss of the eye in retinoblastoma (RB) pa-tients. RB chemotherapy resistance has been investigated in different cell culture models like WERI RB1. Furthermore, chemotherapy resistant RB subclones like the etoposide resistant WERI ETOR cell line have been established to improve understanding of chemotherapy resistance in RB. Ob-jective of this study was to characterize the cell line models of an etoposide sensitive WERI RB1 and its etoposide resistant subclone WERI ETOR by proteomics analysis. Subsequently, quantitative proteomic data served for correlation analysis with known drug perturbation profiles. . WERI RB1 and WERI ETOR were cultured and prepared for quantitative mass spectrometry. Comparative proteomic profiling was performed with electrospray ionization tandem mass spectrometry in data-independent acquisition mode (SWATH). The raw SWATH files were processed using neural networks in library free mode along with machine learning algorithms. Pathway enrichment was performed using the REACTOME pathway resource and correlated to the Molecular Signature Database (MSigDB) hallmark gene set collections for functional annotation. Also, a drug connec-tivity analysis using the L1000 database was used to correlate the mechanism-of-action (MOA) for different anticancer reagents to WERI RB1 / WERI ETOR signatures. A total 4,756 proteins were identified across all samples which revealed a distinct clustering between groups. Of these pro-teins, 64 proteins were significantly altered (q < 0.05 & log2FC |>2|, 22% higher in WERI ETOR). Pathway analysis showed an enriched metabolic pathway for retinoid metabolism and transport pathway in WERI ETOR and for sphingolipid de novo biosynthesis in WERI RB1. In addition, this study showed similar protein signatures of topoisomerase inhibitors and WERI ETOR as well as of ATPase inhibitors, acetylcholine receptor antagonists and VEGFR inhibitors and WERI RB1. In this study, WERI RB1 and WERI ETOR were characterized as a cell line model for chemotherapy re-sistance in RB by using data-independent mass spectrometry. The global proteome revealed the activation of sphingolipid de novo biosynthesis in WERI RB1 and potential treatment options for etoposide resistant RB.

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Thorben Sauer

LAB HEAD: Timo Gemoll

PROVIDER: PXD030924 | Pride | 2022-05-20

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	20200706_2020-04_SWATH_ETOR_P5.wiff	Wiff
	20200706_2020-04_SWATH_ETOR_P5.wiff.scan	Wiff
	20200706_2020-04_SWATH_ETOR_P6.wiff	Wiff
	20200706_2020-04_SWATH_ETOR_P6.wiff.scan	Wiff
	20200706_2020-04_SWATH_ETOR_P7.wiff	Wiff

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Publications

Protein Profiling of WERI-RB1 and Etoposide-Resistant WERI-ETOR Reveals New Insights into Topoisomerase Inhibitor Resistance in Retinoblastoma.

Kakkassery Vinodh V Gemoll Timo T Kraemer Miriam M MM Sauer Thorben T Tura Aysegül A Ranjbar Mahdy M Grisanti Salvatore S Joachim Stephanie C SC Mergler Stefan S Reinhard Jacqueline J

International journal of molecular sciences 20220406 7

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-re ...[more]

PMID: 35409416

Similar Datasets

Project description:Background: Retinoblastoma (RB) is the most common malignant childhood tumor of the eye and results from inactivation of both alleles of the RB1 gene. Nowadays RB genetic diagnosis requires classical chromosome investigations, Multiplex Ligation-dependent Probe Amplification analysis (MLPA) and Sanger sequencing. Nevertheless, these techniques show some limitations. We report our experience on a cohort of RB patients using a combined approach of Next-Generation Sequencing (NGS) and RB1 custom array-Comparative Genomic Hybridization (aCGH). Methods: A total of 65 patients with retinoblastoma were studied: 29 cases of bilateral RB and 36 cases of unilateral RB. All patients were previously tested with conventional cytogenetics and MLPA techniques. Fifty-three samples were then analysed using NGS. Eleven cases were analysed by RB1 custom aCGH. One last case was studied only by classic cytogenetics. Finally, it has been tested, in a lab sensitivity assay, the capability of NGS to detect artificial mosaicism series in previously recognized samples prepared at 3 different mosaicism frequencies: 10%, 5%, 1%. Results: Of the 29 cases of bilateral RB, 28 resulted positive (96.5%) to the genetic investigation: 22 point mutations and 6 genomic rearrangements (four intragenic and two macrodeletion). A novel germline intragenic duplication, from exon18 to exon 23, was identified in a proband with bilateral RB. Of the 36 available cases of unilateral RB, 8 patients resulted positive (22%) to the genetic investigation: 3 patients showed point mutations while 5 carried large deletion. Finally, we successfully validated, in a lab sensitivity assay, the capability of NGS to accurately measure level of artificial mosaicism down to 1%. Conclusions: NGS and RB1-custom aCGH have demonstrated to be an effective combined approach in order to optimize the overall diagnostic procedures of RB. Custom aCGH is able to accurately detect genomic rearrangements allowing the characterization of their extension. NGS is extremely accurate in detecting single nucleotide variants, relatively simple to perform, cost savings and efficient and has confirmed a high sensitivity and accuracy in identifying low levels of artificial mosaicisms.