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

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...

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Autores principales: Krochmal, Magdalena, Fernandes, Marco, Filip, Szymon, Pontillo, Claudia, Husi, Holger, Zoidakis, Jerome, Mischak, Harald, Vlahou, Antonia, Jankowski, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009324/
https://www.ncbi.nlm.nih.gov/pubmed/27589965
http://dx.doi.org/10.1093/database/baw128
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author Krochmal, Magdalena
Fernandes, Marco
Filip, Szymon
Pontillo, Claudia
Husi, Holger
Zoidakis, Jerome
Mischak, Harald
Vlahou, Antonia
Jankowski, Joachim
author_facet Krochmal, Magdalena
Fernandes, Marco
Filip, Szymon
Pontillo, Claudia
Husi, Holger
Zoidakis, Jerome
Mischak, Harald
Vlahou, Antonia
Jankowski, Joachim
author_sort Krochmal, Magdalena
collection PubMed
description 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
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spelling pubmed-50093242016-09-07 PeptiCKDdb—peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease Krochmal, Magdalena Fernandes, Marco Filip, Szymon Pontillo, Claudia Husi, Holger Zoidakis, Jerome Mischak, Harald Vlahou, Antonia Jankowski, Joachim Database (Oxford) Original Article 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 Oxford University Press 2016-09-01 /pmc/articles/PMC5009324/ /pubmed/27589965 http://dx.doi.org/10.1093/database/baw128 Text en © The Author(s) 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Krochmal, Magdalena
Fernandes, Marco
Filip, Szymon
Pontillo, Claudia
Husi, Holger
Zoidakis, Jerome
Mischak, Harald
Vlahou, Antonia
Jankowski, Joachim
PeptiCKDdb—peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease
title PeptiCKDdb—peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease
title_full PeptiCKDdb—peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease
title_fullStr PeptiCKDdb—peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease
title_full_unstemmed PeptiCKDdb—peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease
title_short PeptiCKDdb—peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease
title_sort peptickddb—peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009324/
https://www.ncbi.nlm.nih.gov/pubmed/27589965
http://dx.doi.org/10.1093/database/baw128
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