THE PROTEIN DISEASE DATABASE OF COMMON HUMAN BODY FLUIDS

常见人体体液蛋白质疾病数据库

• 批准号: 6289342
• 负责人: peter f lemkin
• 金额: --
• 依托单位: DIVISION OF BASIC SCIENCES - NCI
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/6289342
• 关键词: Internet; body fluids; clinical chemistry; computer assisted diagnosis; computer system design /evaluation; electrophoresis; human data; information systems; proteins

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,

蛋白质疾病数据库（PDD）是围绕关系数据库系统（Oracle RDBMS）构建的全球Web搜索数据库。 PDD在Lemkin P. F.等，电泳16：1175，1995中描述。 Merril C.等，Appl。理论。电泳5：49-54，1995; Lemkin P. F.等。应用。理论。电泳5：55-72，1995。网络URL是http://www-lecb.ncifcrf.gov/pdd/。该项目的目的是在正常的生理和癌症或其他疾病状态下，在常见的人体流体中创建蛋白质的关系数据库：血浆/血清，脑脊液和尿蛋白。在过去的二十年中，关于血浆，血清，CSF和尿液蛋白变化的大量文献在生理和疾病状态下被确定为变化。尽管这些蛋白质变化中的许多变化是通过除电泳以外的其他技术测量的，即：酶促，免疫测定或在某些情况下仅与特定物质和沉降速率相互作用，但这些数据可用于建立蛋白质n倍浓度的疾病状态状态的蛋白质N倍浓度变化。在可能的情况下，该数据库与高分辨率的2D电泳蛋白质模式相关联，这些模式是从这些流体中的每种流体中得出的，以及可以通过Internet访问的基因组数据库。 PDD包括基于文献的数据，了解体液中发现的蛋白质（血浆/血清，尿液，CSF），这些蛋白质在正常种群方面表现出N倍浓度随癌症和心理健康其他疾病状态的变化。我们设想需要搜索这些类型更改的研究人员对PDD的初步使用。稍后，它可能会在临床上作为预屏幕前的一部分在临床上变得更加有用，在该屏幕上，几种标记蛋白的变化可用于搜索PDD发现可能的相关疾病疾病，或检查可疑疾病是否是否是否与之相关的蛋白质标记物。我们正在收集有关体液蛋白质的数据 - 特别是集中于癌症，肿瘤和心理健康体液标记。 Z01 BC 10273-03-预防癌症，数据库，电泳，基因表达，基因映射，炎症，蛋白质化学，蛋白质化学，