The protein disease database of human body fluids: I. Rationale for the development of this database.

C R Merril, M P Goldstein, J E Myrick, G J Creed, P F Lemkin
{"title":"The protein disease database of human body fluids: I. Rationale for the development of this database.","authors":"C R Merril,&nbsp;M P Goldstein,&nbsp;J E Myrick,&nbsp;G J Creed,&nbsp;P F Lemkin","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>We are developing a relational database to facilitate quantitative and qualitative comparisons of proteins in human body fluids in normal and disease states. For decades researchers and clinicians have been studying proteins in body fluids such as serum, plasma, cerebrospinal fluid and urine. Currently, most clinicians evaluate only a few specific proteins in a body fluid such as plasma when they suspect that a patient has a disease. Now, however, high resolution two-dimensional protein electrophoresis allows the simultaneous evaluation of 1,500 to 3,000 proteins in complex solutions, such as the body fluids. This and other high resolution methods have encouraged us to collect the clinical data for the body fluid proteins into an easily accessed database. For this reason, it has been constructed on the Internet World Wide Web (WWW) under the title Protein Disease Database (PDD). In addition, this database will provide a linkage between the disease-associated protein alterations and images of the appropriate proteins on high-resolution electrophoretic gels of the body fluids. This effort requires the normalization of data to account for variations in methods of measurement. Initial efforts in the establishment of the PDD have been concentrated on alterations in the acute-phase proteins in individuals with acute and chronic diseases. Even at this early stage in the development of our database, it has proven to be useful as we have found that there appear to be several common acute-phase protein alterations in the plasma and cerebrospinal fluid from patients with Alzheimer's disease, schizophrenia and major depression. Our goal is to provide access to the PDD so that systematic correlations and relationships between disease states can be examined and extended.</p>","PeriodicalId":77007,"journal":{"name":"Applied and theoretical electrophoresis : the official journal of the International Electrophoresis Society","volume":"5 2","pages":"49-54"},"PeriodicalIF":0.0000,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied and theoretical electrophoresis : the official journal of the International Electrophoresis Society","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We are developing a relational database to facilitate quantitative and qualitative comparisons of proteins in human body fluids in normal and disease states. For decades researchers and clinicians have been studying proteins in body fluids such as serum, plasma, cerebrospinal fluid and urine. Currently, most clinicians evaluate only a few specific proteins in a body fluid such as plasma when they suspect that a patient has a disease. Now, however, high resolution two-dimensional protein electrophoresis allows the simultaneous evaluation of 1,500 to 3,000 proteins in complex solutions, such as the body fluids. This and other high resolution methods have encouraged us to collect the clinical data for the body fluid proteins into an easily accessed database. For this reason, it has been constructed on the Internet World Wide Web (WWW) under the title Protein Disease Database (PDD). In addition, this database will provide a linkage between the disease-associated protein alterations and images of the appropriate proteins on high-resolution electrophoretic gels of the body fluids. This effort requires the normalization of data to account for variations in methods of measurement. Initial efforts in the establishment of the PDD have been concentrated on alterations in the acute-phase proteins in individuals with acute and chronic diseases. Even at this early stage in the development of our database, it has proven to be useful as we have found that there appear to be several common acute-phase protein alterations in the plasma and cerebrospinal fluid from patients with Alzheimer's disease, schizophrenia and major depression. Our goal is to provide access to the PDD so that systematic correlations and relationships between disease states can be examined and extended.

分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
体液蛋白质疾病数据库:1 .建立该数据库的基本原理。
我们正在开发一个关系数据库,以促进在正常和疾病状态下人体体液中蛋白质的定量和定性比较。几十年来,研究人员和临床医生一直在研究血清、血浆、脑脊液和尿液等体液中的蛋白质。目前,大多数临床医生在怀疑病人患病时,只对体液(如血浆)中的几种特定蛋白质进行评估。然而,现在,高分辨率二维蛋白质电泳允许在复杂的溶液(如体液)中同时评估1500到3000种蛋白质。这种方法和其他高分辨率的方法鼓励我们将体液蛋白的临床数据收集到一个易于访问的数据库中。为此,它已在互联网万维网(WWW)上建立,标题为蛋白质疾病数据库(PDD)。此外,该数据库将提供疾病相关蛋白质改变与体液高分辨率电泳凝胶上相应蛋白质图像之间的联系。这项工作需要对数据进行规范化,以解释测量方法的变化。建立PDD的最初努力集中在患有急性和慢性疾病的个体的急性期蛋白质的改变上。即使在我们的数据库开发的早期阶段,它已被证明是有用的,因为我们发现阿尔茨海默病、精神分裂症和重度抑郁症患者的血浆和脑脊液中似乎存在几种常见的急性期蛋白质改变。我们的目标是提供对PDD的访问,以便可以检查和扩展疾病状态之间的系统相关性和关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Discontinuous electrophoresis revisited: a review of the process. The evaluation of fast purification methods for preparing polymerase chain reaction (PCR) products for capillary electrophoresis analysis. The use of a new gel matrix for the separation of DNA fragments: a comparison study between slab gel electrophoresis and capillary electrophoresis. DNA sequencing by capillary electrophoresis with a hydroxyethylcellulose sieving buffer. The distribution of F13A subtypes in four populations using agarose isoelectric focusing and Western Blot detection.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1