A Genome-Based Resource for Molecular Cardiovascular Medicine

Author:

Hwang David M.1,Dempsey Adam A.1,Wang Ruo-Xiang1,Rezvani Mojgan1,Barrans J. David1,MHSc 1,Dai Ken-Shwo1,Wang Hui-Yuan1,Ma Hong1,Cukerman Eva1,Liu Yu-Qing1,Gu Jian-Ren1,Zhang Jing-Hui1,Tsui Stephen K. W.1,Waye Mary M. Y.1,Fung Kwok-Pui1,Lee Cheuk-Yu1,Liew Choong-Chin1

Affiliation:

1. From the Cardiac Gene Unit, Departments of Laboratory Medicine and Pathobiology and Medicine, Centre for Cardiovascular Research, The Toronto Hospital, University of Toronto, Ontario, Canada (D.M.H., A.A.D., R.X.W., M.R., J.D.B., K.-S.D., H.-Y.W., H.M., E.C., C.-Y.L., C.-C.L.); China National Center for Biotechnology Development, STC, Beijing, China (Y.-Q.L., J.-R.G.); National Center for Biotechnology Information, Bethesda, Md (J.-H.Z.); and the Department of Biochemistry, Chinese University of...

Abstract

Background Large-scale partial sequencing of cDNA libraries to generate expressed sequence tags (ESTs) is an effective means of discovering novel genes and characterizing transcription patterns in different tissues. To catalogue the identities and expression levels of genes in the cardiovascular system, we initiated large-scale sequencing and analysis of human cardiac cDNA libraries. Methods and Results Using automated DNA sequencing, we generated 43 285 ESTs from human heart cDNA libraries. An additional 41 619 ESTs were retrieved from public databases, for a total of 84 904 ESTs representing more than 26 million nucleotides of raw cDNA sequence data from 13 independent cardiovascular system–based cDNA libraries. Of these, 55% matched to known genes in the Genbank/EMBL/DDBJ databases, 33% matched only to other ESTs, and 12% did not match to any known sequences (designated cardiovascular system–based ESTs, or CVbESTs). ESTs that matched to known genes were classified according to function, allowing for detection of differences in general transcription patterns between various tissues and developmental stages of the cardiovascular system. In silico Northern analysis of known gene matches identified widely expressed cardiovascular genes as well as genes putatively exhibiting greater tissue specificity or developmental stage specificity. More detailed analysis identified 48 genes potentially overexpressed in cardiac hypertrophy, at least 10 of which were previously documented as differentially expressed. Computer-based chromosomal localizations of 1048 cardiac ESTs were performed to further assist in the search for disease-related genes. Conclusions These data represent the most extensive compilation of cardiovascular gene expression information to date. They further demonstrate the untapped potential of genome research for investigating questions related to cardiovascular biology and represent a first-generation genome-based resource for molecular cardiovascular medicine.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

Cited by 113 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3