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RatDEGdb: a knowledge base of differentially expressed genes in the rat as a model object in biomedical research.

Authors :
Chadaeva IV
Filonov SV
Zolotareva KA
Khandaev BM
Ershov NI
Podkolodnyy NL
Kozhemyakina RV
Rasskazov DA
Bogomolov AG
Kondratyuk EY
Klimova NV
Shikhevich SG
Ryazanova MA
Fedoseeva LA
Redina ОЕ
Kozhevnikova OS
Stefanova NA
Kolosova NG
Markel AL
Ponomarenko MP
Oshchepkov DY
Source :
Vavilovskii zhurnal genetiki i selektsii [Vavilovskii Zhurnal Genet Selektsii] 2023 Dec; Vol. 27 (7), pp. 794-806.
Publication Year :
2023

Abstract

The animal models used in biomedical research cover virtually every human disease. RatDEGdb, a knowledge base of the differentially expressed genes (DEGs) of the rat as a model object in biomedical research is a collection of published data on gene expression in rat strains simulating arterial hypertension, age-related diseases, psychopathological conditions and other human afflictions. The current release contains information on 25,101 DEGs representing 14,320 unique rat genes that change transcription levels in 21 tissues of 10 genetic rat strains used as models of 11 human diseases based on 45 original scientific papers. RatDEGdb is novel in that, unlike any other biomedical database, it offers the manually curated annotations of DEGs in model rats with the use of independent clinical data on equal changes in the expression of homologous genes revealed in people with pathologies. The rat DEGs put in RatDEGdb were annotated with equal changes in the expression of their human homologs in affected people. In its current release, RatDEGdb contains 94,873 such annotations for 321 human genes in 836 diseases based on 959 original scientific papers found in the current PubMed. RatDEGdb may be interesting first of all to human geneticists, molecular biologists, clinical physicians, genetic advisors as well as experts in biopharmaceutics, bioinformatics and personalized genomics. RatDEGdb is publicly available at https://www.sysbio.ru/RatDEGdb.<br />Competing Interests: The authors declare no conflict of interest.<br /> (Copyright © AUTHORS.)

Details

Language :
English
ISSN :
2500-0462
Volume :
27
Issue :
7
Database :
MEDLINE
Journal :
Vavilovskii zhurnal genetiki i selektsii
Publication Type :
Academic Journal
Accession number :
38213701
Full Text :
https://doi.org/10.18699/VJGB-23-92