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Telomeres play important roles in genome stability and cell proliferation. High risk neuroblastoma (HRNB), an aggressive childhood cancer, is especially reliant on telomere maintenance. Three recurrent genetic aberrations in HRNB (MYCN amplification, TERT re-arrangements, and ATRX mutations) are mutually exclusive and each capable of promoting telomere maintenance mechanisms (i.e., through telomerase or ALT). We analyzed a panel of 5 representative HRNB cell lines and 30 HRNB surgical samples using assays that assess average telomere lengths, length distribution patterns, single-stranded DNA on the G- and C-strand, as well as extra-chromosomal circular telomeres. Our analysis pointed to substantial and variable degrees of telomere DNA damage in HRNB, including pervasive oxidative lesions. Moreover, unlike other cancers, neuroblastoma consistently harbored high levels of C-strand ssDNA overhangs and t-circles, which are consistent with active "telomere trimming". This feature is observed in both telomerase- and ALT-positive tumors and irrespective of telomere length distribution. Moreover, evidence for telomere trimming was detected in normal neural tissues, raising the possibility that TMMs in HRNB evolved in the face of a canonical developmental program of telomere shortening. Telomere trimming by itself appears to distinguish neuroectodermal derived tumors from other human cancers, a distinguishing characteristic with both biologic and therapeutic implications.
Pubmed ID: 31128432
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View all literature mentionsTHIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.
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