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Transcriptomic analysis reveals cell apoptotic signature modified by heparanase in melanoma cells.

ABSTRACT: Heparanase has been implicated in many pathological conditions, especially inflammation and cancer, attributed to its degradation of heparan sulfate, a crucial component maintaining the integrity of the extracellular matrix. By silencing the heparanase gene (HPSE) in MDA-MB-435s melanoma cells, we investigated the impact of this protein on gene transcription. Transcriptome sequencing yielded a list of 279 differentially expressed genes, of which 140 were up-regulated and 239 down-regulated. The 140 up-regulated genes were classified into a substantial set of gene ontology defined functions, for example, positive regulation of cell death, apoptotic process, response to cytokine, while 239 down-regulated genes classify only into the two categories: nucleosome and nucleosome assembly. Our focus was drawn to an array of 28 pro-apoptotic genes regulated by heparanase: real-time PCR experiments further validated up-regulation of EGR1, TXNIP, AXL, CYR61, LIMS2 and TNFRSF12A by at least 1.5-fold, among which EGR1, CYR61, and TNFRSF12A were confirmed on protein level. We demonstrated significantly increased apoptotic cells by TUNEL staining upon HPSE silencing, mediated by activation of caspase 3/PARP1 pathway. The pro-apoptotic gene expression and observation of apoptosis were extended to another melanoma cell line, MV3 cells, thus consolidating the anti-apoptosis effect of heparanase in melanoma cells.

SUBMITTER: Song T

PROVIDER: S-EPMC6584584 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Transcriptomic analysis reveals cell apoptotic signature modified by heparanase in melanoma cells.

Song Tianyi T Spillmann Dorothe D

Journal of cellular and molecular medicine 20190502 7

Heparanase has been implicated in many pathological conditions, especially inflammation and cancer, attributed to its degradation of heparan sulfate, a crucial component maintaining the integrity of the extracellular matrix. By silencing the heparanase gene (HPSE) in MDA-MB-435s melanoma cells, we investigated the impact of this protein on gene transcription. Transcriptome sequencing yielded a list of 279 differentially expressed genes, of which 140 were up-regulated and 239 down-regulated. The ...[more]

PMID: 31044520

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Project description:BackgroundBladder carcinoma (BC) is one of the most prevalent and malignant tumors. Multiple gene signatures based on BC metabolism, especially regarding glycolysis, remain unclear. Thus, we developed a glycolysis-related gene signature to be used for BC prognosis prediction.MethodsTranscriptomic and clinical data were divided into a training set and a validation set after they were downloaded and analyzed from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Gene-set enrichment analysis (GSEA) and differential analysis were used to screen differentially expressed genes (DEGs), while univariate Cox regression and lasso-penalized Cox regression were employed for signature establishment. To evaluate the prognostic power of the signature, receiver operating characteristic (ROC) curve and Kaplan-Meier (KM) survival analysis were also used. Additionally, we developed a nomogram to predict patients' survival chances using the identified prognostic gene signature. Further, gene mutation and protein expression, as well as the independence of signature genes, were also analyzed. Finally, we also performed qPCR and western blot to detect the expression and potential pathways of signature genes in BC samples.ResultsTen genes were selected for signature construction among 71 DEGs, including nine risk genes and one protection gene. KM survival analysis revealed that the high-risk group had poor survival and the low-risk group had increased survival. ROC curve analysis and the nomogram validated the accurate prediction of survival using a gene signature composed of 10 glycolysis-related genes. Western blot and qPCR analysis demonstrated that the expression trend of signature genes was basically consistent with previous results. These 10 glycolysis-related genes were independent and suitable for a signature.ConclusionOur current study indicated that we successfully built and validated a novel 10-gene glycolysis-related signature for BC prognosis.

Dataset Information

Transcriptomic analysis reveals cell apoptotic signature modified by heparanase in melanoma cells.

Publications

Transcriptomic analysis reveals cell apoptotic signature modified by heparanase in melanoma cells.

Similar Datasets

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