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Regulation of telomerase alternative splicing: a target for chemotherapy.

ABSTRACT: Telomerase is present in human cancer cells but absent in most somatic tissues. The messenger RNA of human telomerase (hTERT) is alternatively spliced into mostly nonfunctional products. We sought to understand splicing so that we could decrease functional splice isoforms to reduce telomerase activity in order to complement direct enzyme inhibition. Unexpectedly, minigenes containing hTERT exons 5-10 flanked by 150-300 bp intronic sequences did not produce alternative splicing. A 1.1 kb region of 38 bp repeats ~2 kb from the exon 6/intron junction restored the exclusion of exons 7 and 8. An element within intron 8, also >1 kb from intron/exon junctions, modulated this effect. Transducing an oligonucleotide complementary to this second element increased nonfunctional hTERT messenger RNA from endogenous telomerase. These results demonstrate the potential of manipulating hTERT splicing for both chemotherapy and regenerative medicine and provide specific sequences deep within introns that regulate alternative splicing in mammalian cells by mechanisms other than the introduction of cryptic splice sites.

SUBMITTER: Wong MS

PROVIDER: S-EPMC3640656 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature

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Regulation of telomerase alternative splicing: a target for chemotherapy.

Wong Mandy S MS Chen Ling L Foster Christopher C Kainthla Radhika R Shay Jerry W JW Wright Woodring E WE

Cell reports 20130404 4

Telomerase is present in human cancer cells but absent in most somatic tissues. The messenger RNA of human telomerase (hTERT) is alternatively spliced into mostly nonfunctional products. We sought to understand splicing so that we could decrease functional splice isoforms to reduce telomerase activity in order to complement direct enzyme inhibition. Unexpectedly, minigenes containing hTERT exons 5-10 flanked by 150-300 bp intronic sequences did not produce alternative splicing. A 1.1 kb region o ...[more]

PMID: 23562158

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Project description:Telomerase plays important roles in the development and progression of malignant tumors, and its activity is primarily determined by transcriptional regulation of human telomerase reverse transcriptase (hTERT). Several mRNA alternative splicing variants (ASVs) for hTERT have been identified, but it remains unclear whether telomerase activity is directly associated with hTERT splicing transcripts. In this study, we developed novel real-time PCR protocols using molecular beacons and applied to lung carcinoma cell lines and cancerous tissues for quantification of telomerase activity and three essential hTERT deletion transcripts respectively. The results showed that lung carcinoma cell lines consistently demonstrated telomerase activity (14.22-31.43 TPG units per 100 cells) and various hTERT alternative splicing transcripts. For 165 lung cancer cases, telomerase activity showed significant correlation with tumor differentiation (poorly->moderately->well-differentiated, P<0.01) and with histotypes (combined small cell and squamous cell carcinoma>squamous cell carcinoma>adenosquamous carcinoma>adenocarcinoma, P<0.05). Although the overall hTERT transcripts were detected in all the samples, they were not associated with telomerase activity (r = 0.092, P = 0.24). Telomerase activity was significantly correlated with the transcriptional constituent ratio of α-deletion (r = -0.267, P = 0.026), β-deletion (r = -0.693, P = 0.0001) and γ-deletion (r = -0.614, P = 0.001). The positive rate and average constituent ratio of β-deletion transcripts (92.12%, 0.23) were higher than those of α-deletion (41.82%, 0.12) or γ-deletion (16.36%, 0.18) transcripts. The combined small-cell and squamous cell carcinomas expressed less deletion transcripts, especially β-deletion, than other histotypes, which might explain their higher telomerase activity. In conclusion, the molecular beacon-based real-time PCR protocols are rapid, sensitive and specific methods to quantify telomerase activity and hTERT ASVs. Telomerase activity may serve as a reliable and effective molecular marker to assist the evaluation of histological subtype and differentiation of lung carcinomas. Further studies on hTERT deletion splicing transcripts, rather than the overall hTERT transcripts, may improve our understanding of telomerase regulation.

Project description:Background: Increasing evidences have shown that abnormal alternative splicing (AS) events are closely related to the prognosis of various tumors. However, the role of AS in ovarian cancer (OV) is poorly understood. This study aims to explore the correlation between AS and the prognosis of OV and establish a prognostic model for OV. Methods: We downloaded the RNA-seq data of OV from The Cancer Genome Atlas databases and assessed cancer-specific AS through the SpliceSeq software. Then systemically investigated the overall survival (OS)-related AS and splicing factors (SFs) by bioinformatics analysis. The nomogram was established based on the clinical information, and the clinical practicability of the nomogram was verified through the calibration curve. Finally, a splicing correlation network was constructed to reveal the relationship between OS-related AS and SFs. Results: A total of 48,049 AS events were detected from 10,582 genes, of which 1523 were significantly associated with OS. The area under the curve of the final prediction model was 0.785, 0.681, and 0.781 in 1, 3, and 5 years, respectively. Moreover, the nomogram showed high calibration and discrimination in OV patients. Spearman correlation analysis was used to determine 8 SFs significantly related to survival, including major facilitator superfamily domain containing 11, synaptotagmin binding cytoplasmic RNA interacting protein, DEAH-box helicase 35, CWC15, integrator complex subunit 1, LUC7 like 2, cell cycle and apoptosis regulator 1, and heterogeneous nuclear ribonucleoprotein A2/B1. Conclusion: This study provides a prognostic model related to AS in OV, and constructs an AS-clinicopathological nomogram, which provides the possibility to predict the long-term prognosis of OV patients. We have explored the wealth of RNA splicing networks and regulation patterns related to the prognosis of OV, which provides a large number of biomarkers and potential targets for the treatment of OV. Put forward the potential possibility of interfering with the AS of OV in the comprehensive treatment of OV.

Dataset Information

Regulation of telomerase alternative splicing: a target for chemotherapy.

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Regulation of telomerase alternative splicing: a target for chemotherapy.

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