清华大学生物信息研究所智能技术与系统国家重点实验室,北京,100084
纸质出版:2001
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闻芳, 李衍达. 基因表达调控与选择性剪接机制研究[J]. 电子学报, 2001,29(S1):1735-1739.
WEN Fang, LI Yan-da. A Bioinformatic Analysis of Alternatively Spliced Genes of Human[J]. Acta Electronica Sinica, 2001, 29(S1): 1735-1739.
随着人类基因组计划(HGP)的完成
生物信息学的研究进入了后基因组时代
用计算方法对基因表达调控和基因功能进行研究成为生物信息学研究的核心内容.由于在真核基因表达调控中的特殊地位
选择性剪接成为研究真核基因表达调控的重要内容之一.本文从收集选择性剪接基因的数据出发
尽可能的收集已知的选择性剪接的基因和它们的各种转录产物
并进行了适当的筛选以保证数据的质量和统计分析的可靠性.对挑选出的371个人类基因
提取各种转录产物的编码区(coding regions
或简称cds)
应用一种新的针对选择性剪接的多序列比对程序ASALIGN进行多序列比对来揭示不同cds间的剪接关系
提出其中的可变区域与不可变区域
并对可变区域与不可变区域的长度分布
可变区域在cds中出现的位置
由于选择性剪接引起的同一段序列读码框相位的变化以及可变区域与不可变区域及二者边界上的密码子使用频率进行了统计分析
得到了一些很有意思的结果.这些统计结果对于选择性剪接机制的进一步研究以及选择性剪接基因的预测提供了良好的线索.
With the completion of Human Genome draft
bioinformatic research has entered the post-genomic era.Studying of the control of gene expression and function using computational methods has gradually become the mainstream of research.For its special role in the control of eukaryotic gene expression
alternative splicing has become an important topic in genomic research.In this study
we analyzed alternative splicing of human genes based on complete coding sequences(cds) of alternatively spliced genes.As reported previously we have set up a database AsMamDB.Transcripts probably belonging to one gene were put into a single cluster.We also developed a new multi-alignment tool
ASALIGN
aiming to reveal alternative splicing patterns of transcripts belonging to a same gene and identify their alternative and non-alternative regions.Here
through filtering we chose 371 genes that have two or more different cds.Using Asalign we have identified all alternatively spliced regions in the cds of selected genes.We also studied lengths
positions of alternatively spliced regions
shifting of reading frames due to alternative splicing
as well as codon frequencies of non-alternative
alternatively spliced regions and their boundaries
and ended with some interesting results.Our study may provide important in-sights into the alternative splicing phenomenon and clues for prediction of alternative splicing.
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