NaviCenta - The disease map for placental research.


Journal

Placenta
ISSN: 1532-3102
Titre abrégé: Placenta
Pays: Netherlands
ID NLM: 8006349

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 30 05 2023
revised: 14 09 2023
accepted: 18 09 2023
medline: 27 11 2023
pubmed: 5 10 2023
entrez: 4 10 2023
Statut: ppublish

Résumé

The placenta remains the key organ to pregnancy complications, such as preeclampsia, contrarily the pathophysiology underlying the placental dysfunctions remains elusive. Here, we present our Disease Map "NaviCenta", which is an online resource based on the interactions between tissues, cellular compartments, and molecules that mediate disease-related processes in the placenta. We built cellular and molecular interaction networks based upon manual curation and annotation of publicly available information in the scientific literature, pathways resources, and Omics data. NaviCenta (Navigate the plaCenta) serves as an open access, spatio-temporal, multi-scale knowledge base, and analytical tool for enhanced interpretation and hypothesis testing on various placental disease phenotypes.

Identifiants

pubmed: 37793322
pii: S0143-4004(23)00562-3
doi: 10.1016/j.placenta.2023.09.007
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

12-15

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Julia Scheel (J)

Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany. Electronic address: julia.scheel@uni-rostock.de.

Matti Hoch (M)

Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany.

Markus Wolfien (M)

Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Dresden, Germany.

Shailendra Gupta (S)

Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany.

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Classifications MeSH