dc.contributor.author
Krochmal, Magdalena
dc.contributor.author
Fernandes, Marco
dc.contributor.author
Filip, Szymon
dc.contributor.author
Pontillo, Claudia
dc.contributor.author
Husi, Holger
dc.contributor.author
Zoidakis, Jerome
dc.contributor.author
Mischak, Harald
dc.contributor.author
Vlahou, Antonia
dc.contributor.author
Jankowski, Joachim
dc.date.accessioned
2018-06-08T03:23:48Z
dc.date.available
2016-10-20T08:32:02.296Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/15088
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-19276
dc.description.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.
en
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit
dc.title
PeptiCKDdb—peptide- and protein-centric database for the investigation of
genesis and progression of chronic kidney disease
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
Database. - 2016 (2016), Artikel Nr. baw128
dcterms.bibliographicCitation.doi
10.1093/database/baw128
dcterms.bibliographicCitation.url
http://database.oxfordjournals.org/content/2016/baw128
refubium.affiliation
Charité - Universitätsmedizin Berlin
de
refubium.mycore.fudocsId
FUDOCS_document_000000025588
refubium.note.author
Der Artikel wurde in einer reinen Open-Access-Zeitschrift publiziert.
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000007249
dcterms.accessRights.openaire
open access