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PeptiCKDdb——用于研究慢性肾病发生和发展的以肽和蛋白质为中心的数据库。

PeptiCKDdb-peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease.

作者信息

Krochmal Magdalena, Fernandes Marco, Filip Szymon, Pontillo Claudia, Husi Holger, Zoidakis Jerome, Mischak Harald, Vlahou Antonia, Jankowski Joachim

机构信息

Biomedical Research Foundation Academy of Athens, Center of Basic Research, Athens, Greece University Hospital RWTH Aachen University, Institute for Molecular Cardiovascular Research, Aachen, Germany

University of Glasgow, BHF Glasgow Cardiovascular Research Centre, Glasgow, United Kingdom.

出版信息

Database (Oxford). 2016 Sep 1;2016. doi: 10.1093/database/baw128. Print 2016.

DOI:10.1093/database/baw128
PMID:27589965
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5009324/
Abstract

The peptiCKDdb is a publicly available database platform dedicated to support research in the field of chronic kidney disease (CKD) through identification of novel biomarkers and molecular features of this complex pathology. PeptiCKDdb collects peptidomics and proteomics datasets manually extracted from published studies related to CKD. Datasets from peptidomics or proteomics, human case/control studies on CKD and kidney or urine profiling were included. Data from 114 publications (studies of body fluids and kidney tissue: 26 peptidomics and 76 proteomics manuscripts on human CKD, and 12 focusing on healthy proteome profiling) are currently deposited and the content is quarterly updated. Extracted datasets include information about the experimental setup, clinical study design, discovery-validation sample sizes and list of differentially expressed proteins (P-value < 0.05). A dedicated interactive web interface, equipped with multiparametric search engine, data export and visualization tools, enables easy browsing of the data and comprehensive analysis. In conclusion, this repository might serve as a source of data for integrative analysis or a knowledgebase for scientists seeking confirmation of their findings and as such, is expected to facilitate the modeling of molecular mechanisms underlying CKD and identification of biologically relevant biomarkers.Database URL: www.peptickddb.com.

摘要

肽类慢性肾脏病数据库(PeptiCKDdb)是一个公开可用的数据库平台,旨在通过识别这种复杂病症的新型生物标志物和分子特征,支持慢性肾脏病(CKD)领域的研究。PeptiCKDdb收集了从已发表的与CKD相关研究中手动提取的肽组学和蛋白质组学数据集。包括来自肽组学或蛋白质组学的数据集、关于CKD的人类病例/对照研究以及肾脏或尿液分析。目前已存入来自114篇出版物的数据(体液和肾脏组织研究:26篇关于人类CKD的肽组学手稿和76篇蛋白质组学手稿,以及12篇关注健康蛋白质组分析的手稿),内容每季度更新一次。提取的数据集包括有关实验设置、临床研究设计、发现-验证样本量以及差异表达蛋白列表(P值<0.05)的信息。一个配备多参数搜索引擎、数据导出和可视化工具的专用交互式网络界面,便于数据浏览和综合分析。总之,这个储存库可以作为综合分析的数据来源,或者为寻求证实其发现的科学家提供知识库,因此有望促进CKD潜在分子机制的建模和生物学相关生物标志物的识别。数据库网址:www.peptickddb.com。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6274/5009324/c2d54cae7adc/baw128f6p.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6274/5009324/2f4968dd3ace/baw128f1p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6274/5009324/6d02d7aea4b0/baw128f2p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6274/5009324/0f188e3b650a/baw128f3p.jpg
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本文引用的文献

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