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

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

doi:10.1093/database/baw128

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

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

^*Corresponding author for this work

Pathologie

Research output: Contribution to journal › Article › Academic › peer-review

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

Original language	English
Article number	baw128
Journal	Database-The Journal of Biological Databases and Curation
Volume	2016
DOIs	https://doi.org/10.1093/database/baw128
Publication status	Published - 1 Sept 2016

Access to Document

10.1093/database/baw128Licence: CC BY

Cite this

Krochmal, M., Fernandes, M., Filip, S., Pontillo, C., Husi, H., Zoidakis, J., Mischak, H., Vlahou, A., & Jankowski, J. (2016). PeptiCKDdb-peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease. Database-The Journal of Biological Databases and Curation, 2016, Article baw128. https://doi.org/10.1093/database/baw128

@article{93817a3f22734881aff6051f85ac5677,

title = "PeptiCKDdb-peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease",

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 ",

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

year = "2016",

month = sep,

day = "1",

doi = "10.1093/database/baw128",

language = "English",

volume = "2016",

journal = "Database-The Journal of Biological Databases and Curation",

issn = "1758-0463",

publisher = "Oxford University Press",

}

TY - JOUR

T1 - PeptiCKDdb-peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease

AU - Krochmal, Magdalena

AU - Fernandes, Marco

AU - Filip, Szymon

AU - Pontillo, Claudia

AU - Husi, Holger

AU - Zoidakis, Jerome

AU - Mischak, Harald

AU - Vlahou, Antonia

AU - Jankowski, Joachim

PY - 2016/9/1

Y1 - 2016/9/1

N2 - 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

AB - 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

U2 - 10.1093/database/baw128

DO - 10.1093/database/baw128

M3 - Article

C2 - 27589965

SN - 1758-0463

VL - 2016

JO - Database-The Journal of Biological Databases and Curation

JF - Database-The Journal of Biological Databases and Curation

M1 - baw128

ER -