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p53FamTaG: a database resource of human p53 p63 and p73 direct target genes combining in silico prediction and microarray data

机译:p53FamTaG:人类p53p63和p73直接靶基因的数据库资源结合计算机预测和微阵列数据

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摘要

BackgroundThe p53 gene family consists of the three genes p53, p63 and p73, which have polyhedral non-overlapping functions in pivotal cellular processes such as DNA synthesis and repair, growth arrest, apoptosis, genome stability, angiogenesis, development and differentiation. These genes encode sequence-specific nuclear transcription factors that recognise the same responsive element (RE) in their target genes. Their inactivation or aberrant expression may determine tumour progression or developmental disease. The discovery of several protein isoforms with antagonistic roles, which are produced by the expression of different promoters and alternative splicing, widened the complexity of the scenario of the transcriptional network of the p53 family members. Therefore, the identification of the genes transactivated by p53 family members is crucial to understand the specific role for each gene in cell cycle regulation. We have combined a genome-wide computational search of p53 family REs and microarray analysis to identify new direct target genes. The huge amount of biological data produced has generated a critical need for bioinformatic tools able to manage and integrate such data and facilitate their retrieval and analysis.
机译:背景p53基因家族由三个基因p53,p63和p73组成,它们在关键细胞过程中具有多面体非重叠功能,例如DNA合成和修复,生长停滞,凋亡,基因组稳定性,血管生成,发育和分化。这些基因编码识别其靶基因中相同反应元件(RE)的序列特异性核转录因子。它们的失活或异常表达可能决定了肿瘤的进展或发育性疾病。由不同启动子的表达和选择性剪接产生的具有拮抗作用的几种蛋白质同工型的发现,拓宽了p53家族成员转录网络场景的复杂性。因此,鉴定被p53家族成员反式激活的基因对于理解每个基因在细胞周期调控中的特定作用至关重要。我们结合了p53家族RE的全基因组计算搜索和微阵列分析,以鉴定新的直接靶基因。产生的大量生物数据已迫切需要能够管理和整合此类数据并促进其检索和分析的生物信息学工具。

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