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植物聚腺苷酸化信号的计算分析

Computational analysis of plant polyadenylation signals.

作者信息

Wu Xiaohui, Ji Guoli, Li Qingshun Quinn

机构信息

Department of Automation, Xiamen University, Xiamen, Fujian, 361005, China.

出版信息

Methods Mol Biol. 2015;1255:3-11. doi: 10.1007/978-1-4939-2175-1_1.

Abstract

Messenger RNA polyadenylation in eukaryotes marks the end of a transcript, and the process is associated with transcription termination. Increasing evidence reveals the potential of gene expression regulation through alternative polyadenylation. The site of poly(A) addition is defined by poly(A) signals reside in the transcribed pre-mRNA. To gain further insight into poly(A) signals and their functions in defining alternative polyadenylation sites that lie within different genomic regions, SignalSleuth2 was developed to extract and analyze cis-elements from a set of data with known poly(A) sites. After obtaining the sequences surrounding the poly(A) sites, exhaustive search of short sequence motifs in specified range of nucleotide sequences are performed, variable motif sizes and rank the detected motifs based on their occurrence frequencies are tallied. It also has new functions including Position-Specific Scoring Matrix (PSSM) scores calculation and multiple scanning modes. This program is powerful in revealing underline sequence motifs surrounding any target regions in a given dataset.

摘要

真核生物中的信使核糖核酸(mRNA)聚腺苷酸化标志着转录本的结束,并且该过程与转录终止相关。越来越多的证据揭示了通过可变聚腺苷酸化进行基因表达调控的潜力。聚(A)添加位点由位于转录的前体mRNA中的聚(A)信号定义。为了进一步深入了解聚(A)信号及其在定义位于不同基因组区域内的可变聚腺苷酸化位点中的功能,开发了SignalSleuth2以从一组具有已知聚(A)位点的数据中提取和分析顺式元件。在获得聚(A)位点周围的序列后,在指定的核苷酸序列范围内对短序列基序进行穷举搜索,可变基序大小并根据其出现频率对检测到的基序进行排名。它还具有新功能,包括位置特异性评分矩阵(PSSM)分数计算和多种扫描模式。该程序在揭示给定数据集中任何目标区域周围的潜在序列基序方面功能强大。

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