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ASePCR:多组织和器官中的可变剪接电子逆转录聚合酶链反应

ASePCR: alternative splicing electronic RT-PCR in multiple tissues and organs.

作者信息

Kim Namshin, Lim Dajeong, Lee Sanghyuk, Kim Heebal

机构信息

School of Agricultural Biotechnology, Seoul National University, Seoul 151-742, Korea.

出版信息

Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W681-5. doi: 10.1093/nar/gki407.

Abstract

RT-PCR is one of the most powerful and direct methods to detect transcript variants due to alternative splicing (AS) that increase transcript diversity significantly in vertebrates. ASePCR is an efficient web-based application that emulates RT-PCR in various tissues. It estimates the amplicon size for a given primer pair based on the transcript models identified by the reverse e-PCR program of the NCBI. The tissue specificity of each PCR band is deduced from the tissue information of expressed sequence tag (EST) sequences compatible with each transcript structure. The output page shows PCR bands like a gel electrophoresis in various tissues. Each band in the output picture represents a putative isoform that could happen in a tissue-specific manner. It also shows the EST alignment and tissue information in the genome browser. Furthermore, the user can compare the AS patterns of orthologous genes in other species. The ASePCR, available at http://genome.ewha.ac.kr/ASePCR/, supports the transcriptome models of the RefSeq, Ensembl, ECgene and AceView for human, mouse, rat and chicken genomes. It will be a valuable web resource to explore the transcriptome diversity associated with different tissues and organs in multiple species.

摘要

逆转录聚合酶链反应(RT-PCR)是检测由于可变剪接(AS)导致的转录本变体的最强大、最直接的方法之一,可变剪接在脊椎动物中显著增加了转录本的多样性。ASePCR是一个基于网络的高效应用程序,可模拟各种组织中的RT-PCR。它根据美国国立医学图书馆(NCBI)反向电子PCR程序识别的转录本模型,估计给定引物对的扩增子大小。每个PCR条带的组织特异性是从与每个转录本结构兼容的表达序列标签(EST)序列的组织信息中推导出来的。输出页面显示了不同组织中类似凝胶电泳的PCR条带。输出图片中的每个条带代表一种可能以组织特异性方式出现的异构体。它还在基因组浏览器中显示EST比对和组织信息。此外,用户可以比较其他物种直系同源基因的可变剪接模式。ASePCR可在http://genome.ewha.ac.kr/ASePCR/获取,支持人类、小鼠、大鼠和鸡基因组的RefSeq、Ensembl、ECgene和AceView转录组模型。它将成为探索多个物种中与不同组织和器官相关的转录组多样性的宝贵网络资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/878b/1160168/fe353c0c4468/gki407f1.jpg

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