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Differential expression of miRNAs in Retinoblastoma cells (Y79) in response to anti-HMGA2 siRNA treatment

ABSTRACT: The main objective of the study is to identify the de-regulated miRNAs in association with HMGA2 (oncogene) in the Retinoblastoma tumorus. The present experiment was carried out using Y79 (Retinoblastoma cell line), as the invitro model of Retinoblastoma tumor. The HMGA2 transcripts were silenced using siRNA and the post-silenced RB cells (at the end of 48 hours) were subjected to miRNA profiling using agilent platform.The key miRNAs de-regulated in this experiment has been validated using qRT-PCR and further their role has been evaluated by addition of specific antagomirs in RB cell lines (Y79 and Weri Rb 1).

ORGANISM(S): Homo sapiens

PROVIDER: GSE51696 | GEO | 2013/10/26

SECONDARY ACCESSION(S): PRJNA224581

REPOSITORIES: GEO

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Project description: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.

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Differential expression of miRNAs in Retinoblastoma cells (Y79) in response to anti-HMGA2 siRNA treatment

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