THE PROTEIN DISEASE DATABASE OF COMMON HUMAN BODY FLUIDS

蛋白质-疾病数据库（PDD）是一个基于关系数据库系统（Oracle RDBMS）构建的万维网可搜索数据库。PDD描述于Lemkin P.F.，等，电泳16：1175，1995; Merril C.，例如，应用理论Electrophoresis 5：49-54，1995; Lemkin P. F.埃塔尔.应用理论电泳5：55-72，1995年。Web URL为http://www-lecb.ncifcrf.gov/PDD/。该项目的目标是为通常采样的人体体液中的蛋白质创建关系数据库：正常生理和癌症或其他疾病状态下的血浆/血清，脑脊液和尿蛋白。在过去二十年中积累了大量关于血浆、血清、CSF和尿蛋白变化的文献，这些变化已被确定为在生理和疾病状态下不同。虽然许多这些蛋白质的变化是通过电泳以外的技术测量的，即通过：酶，免疫测定，或在某些情况下仅仅与特定物质和沉降速率的相互作用，这些数据可以用作建立疾病状态下蛋白质N倍浓度变化的基础。在可能的情况下，该数据库正在与从这些流体中的每一种获得的高分辨率2D电泳蛋白质模式以及可通过互联网访问的基因组数据库相链接。PDD包括关于体液（血浆/血清、尿液、CSF）中发现的蛋白质的基于文献的数据，相对于正常人群，这些蛋白质在癌症和精神健康其他疾病状态下表现出N倍浓度变化。我们设想最初使用的PDD的研究人员谁需要寻找这些类型的变化。以后，它可能会在临床上变得更有用，作为预筛选的一部分，其中几种标志蛋白的变化可以用于搜索PDD以寻找可能的相关疾病状况-或检查疑似疾病的蛋白标志物与之相关。我们正在收集体液蛋白的数据-特别是集中在癌症，肿瘤和精神健康体液标志物。Z 01 BC 10273-03 -癌症预防，数据库，电泳，基因表达，基因图谱，炎症，蛋白质化学，

The Protein-Disease Database (PDD) is a World Wide Web searchable database built around a relational database system (Oracle RDBMS). The PDD is described in Lemkin P. F., et al., Electrophoresis 16: 1175, 1995; Merril C., et al., Appl. Theor. Electrophoresis 5: 49-54, 1995; Lemkin P. F. etal. Appl. Theor. Electrophoresis 5:55-72, 1995. The Web URL is http://www-lecb.ncifcrf.gov/PDD/. The goal of this project is to create relational databases for proteins in commonly sampled human body fluids: Plasma/serum, cerebrospinal fluid and urinary proteins during normal physiological and cancer or other disease states. There is a large literature accumulated over the past two decades about plasma, serum, CSF and urine protein changes that have been determined as varying in physiological and disease states. While many of these protein changes were measured by techniques other than electrophoretic, that is by: Enzymatic, immune assays, or in some cases merely interaction with specific substances and sedimentation rates, these data can be used as a basis for establishing proteins N-fold concentration changes in disease states. This database is being linked, when possible, to high resolution 2D electrophoretic protein patterns that have been derived from each of these fluids, as well as to genomic databases accessible over the Internet. The PDD includes literature- based data on proteins found in body fluids (plasma/serum, urine, CSF) which exhibit N-fold concentration changes with cancer and mental health other disease states with respect to normal populations. We envision the initial use of the PDD by researchers who need to search for these types of changes. Later, it may become more useful clinically as part of a pre-screen where changes in several marker proteins could be used to search the PDD for possible associated disease conditions - or to check a suspected disease for protein markers associated with it. We are gathering data on body fluid proteins - in particular concentrating on cancer, tumor and mental health body fluid markers. Z01 BC 10273-03 - Cancer Prevention, database, electrophoresis, gene expression, gene mapping, Inflammation, protein chemistry,