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利用基因组比对的EST序列进行UTR重建与分析

UTR reconstruction and analysis using genomically aligned EST sequences.

作者信息

Kan Z, Gish W, Rouchka E, Glasscock J, States D

机构信息

Institute for Biomedical Computing, Washington University, St. Louis, MO 63110, USA.

出版信息

Proc Int Conf Intell Syst Mol Biol. 2000;8:218-27.

Abstract

Untranslated regions (UTR) play important roles in the posttranscriptional regulation of mRNA processing. There is a wealth of UTR-related information to be mined from the rapidly accumulating EST collections. A computational tool, UTR-extender, has been developed to infer UTR sequences from genomically aligned ESTs. It can completely and accurately reconstruct 72% of the 3' UTRs and 15% of the 5' UTRs when tested using 908 functionally cloned transcripts. In addition, it predicts extensions for 11% of the 5' UTRs and 28% of the 3' UTRs. These extension regions are validated by examining splicing frequencies and conservation levels. We also developed a method called polyadenylation site scan (PASS) to precisely map polyadenylation sites in human genomic sequences. A PASS analysis of 908 genic regions estimates that 40-50% of human genes undergo alternative polyadenylation. Using EST redundancy to assess expression levels, we also find that genes with short 3' UTRs tend to be highly expressed.

摘要

非翻译区(UTR)在mRNA加工的转录后调控中发挥着重要作用。从快速积累的EST文库中可以挖掘出大量与UTR相关的信息。已开发出一种计算工具UTR-extender,用于从基因组比对的EST中推断UTR序列。当使用908个功能克隆的转录本进行测试时,它能够完整且准确地重建72%的3'UTR和15%的5'UTR。此外,它还能预测11%的5'UTR和28%的3'UTR的延伸区域。通过检查剪接频率和保守水平对这些延伸区域进行了验证。我们还开发了一种称为聚腺苷酸化位点扫描(PASS)的方法,用于精确绘制人类基因组序列中的聚腺苷酸化位点。对908个基因区域进行的PASS分析估计,40 - 50%的人类基因经历可变聚腺苷酸化。利用EST冗余来评估表达水平,我们还发现具有短3'UTR的基因往往高度表达。

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