遗传 ›› 2006, Vol. 28 ›› Issue (4): 385-392.

• 研究快报 • 上一篇    下一篇

结肠腺瘤-正常文库的生物信息学分析

吕炳建;崔 晶1;徐 静1;张 昊2;罗敏捷1;朱益民3;来茂德1   

  1. 1. 浙江大学医学院病理学与病理生理学系, 杭州 310031; 2. 浙江大学计算机科学与技术学院计算机系, 杭州 310031; 3. 浙江大学公共卫生学院流行病学教研室, 杭州 310031
  • 收稿日期:2005-09-09 修回日期:2005-11-18 出版日期:2006-04-10 发布日期:2006-04-10
  • 通讯作者: 来茂德

Bioinformatic Analysis of Adenoma-Normal Mucosa SSH Library of Colon

LÜ Bing-Jian1, CUI Jin 1, XU Jing1, ZHANG Hao2, LUO Minjie 1, ZHU Yiming3, LAI Mao-De1
  

  1. 1.Department of Pathology & Pathophysiology, School of Medicine, Zhejiang UniversityHangzhou 310031,China;2.Department of Computer Science, School of Computer Science Technology, Zhejiang University, Hangzhou 310031,China; 3.Department of Epidemiology, School of Public Health, Zhejiang University,310031,China
  • Received:2005-09-09 Revised:2005-11-18 Online:2006-04-10 Published:2006-04-10
  • Contact: LAI Mao-De

摘要:

 
 
为进一步分析腺瘤相对正常SSH文库(A-N)的差异表达候选基因的表达谱,结合通用的生物信息学软件,自行开发、搭建包括核酸自动分析平台及GetUNi软件包的生物信息学平台,实现了将A-N文库109个差异克隆序列与本地下载的非冗余核酸数据库、人UniGene数据库比对、聚类,至获取差异表达候选基因的自动化分析。对这些基因进行GOTM(GOTree Machine)初步生物信息学分析及RT-PCR验证。结果共发现62个候选基因,包括6个核糖体蛋白成员,6个免疫相关基因。Reg4和FAM46A两个基因出现频次最高,分别为13次和4次,半定量RT-PCR显示这两个基因分别在10/10和9/10例腺瘤相对正常黏膜表达上调。对于这些差异表达候选基因的进一步分析和研究将有助于揭示结肠腺瘤发生的分子机制。
 

关键词: 基因表达, 粘膜, 结肠腺瘤, UniGene

Abstract:  We established a colonic adenoma-normal mucosa suppressive subtraction hybridization (SSH) library in 1999. In this study, we wanted to explore the expression profile of all candidate genes in this library.We developed an EST pipeline which contained two in-house software packages, nucleic acid analytical software and GetUni. The nucleic acid analytical software, an integrator of the universal bioinformatics tools including phred, phd2fasta, cross_match, repeatmasker and blast2.0, can blast sequences of differential clones with the downloaded non-redudant nucleotide (NR) database. GetUni can cluster these NR sequences into Unigene via matching with the downloaded Homo Sapiens UniGene database. Sixty-two candidate genes in A-N library were obtained via the high throughput automatic gene expression bioinformatics pipeline. Gene Ontology online analysis revealed that ribosome genes and immunity-regulating genes were the two most common categories in the KEGG or Biocarta Pathway. We also detected the expression of 2 genes with highest hits, Reg4 and FAM46A, by semi-quantitative RT-PCR. Both genes were up-regulated in 10 or 9 out of 10 adenomas in comparison with the paired normal mucosa, respectively. The candidate genes in A-N library would be of great significance in disclosing the molecular mechanism underlying in colonic adenoma initiation and progression.


 

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