Satellite non-coding RNAs: the emerging players in cells, cellular pathways and cancer

被引:55
|
作者
Ferreira, Daniela [1 ,2 ]
Meles, Susana [1 ,2 ]
Escudeiro, Ana [1 ,2 ]
Mendes-da-Silva, Ana [1 ,2 ]
Adega, Filomena [1 ,2 ]
Chaves, Raquel [1 ,2 ]
机构
[1] Univ Tras Os Montes & Alto Douro UTAD, Dept Genet & Biotechnol, Lab Cytogen & Anim Genom CAG, Vila Real, Portugal
[2] Univ Lisbon, BioISI Biosyst & Integrat Sci Inst, Fac Sci, P-1699 Lisbon, Portugal
关键词
Satellite DNA; Satellite non-coding RNA; Cancer; Biomarkers; Genomic instability; DNA HYPOMETHYLATION; CONSTITUTIVE HETEROCHROMATIN; PERICENTROMERIC DNA; TANDEM REPEATS; CPG ISLANDS; TRANSCRIPTION; EXPRESSION; METHYLATION; EVOLUTION; REGIONS;
D O I
10.1007/s10577-015-9482-8
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
For several decades, transcriptional inactivity was considered as one of the particular features of constitutive heterochromatin and, therefore, of its major component, satellite DNA sequences. However, more recently, succeeding evidences have demonstrated that these sequences can indeed be transcribed, yielding satellite non-coding RNAs with important roles in the organization and regulation of genomes. Since then, several studies have been conducted, trying to understand the function(s) of these sequences not only in the normal but also in cancer genomes. It is thought that the association between cancer and satncRNAs is mostly due to the influence of these transcripts in the genome instability, a hallmark of cancer. The few reports on satellite DNA transcription in cancer contexts point to its overexpression; however, this scenario may be far more complex, variable, and influenced by a number of factors and the exact role of satncRNAs in the oncogenic process remains poorly understood. The greater is the knowledge on the association of satncRNAs with cancer, the greater would be the opportunity to assist cancer treatment, either by the design of effective therapies targeting these molecules or by using them as biomarkers in cancer diagnosis, prognosis, and with predictive value.
引用
收藏
页码:479 / 493
页数:15
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