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ABSTRACT: Objective
OsteoDIP aims to collect and provide, in a simple searchable format, curated high throughput RNA expression data related to osteoarthritis.Design
Datasets are collected annually by searching "osteoarthritis gene expression profile" in PubMed. Only publications containing patient data and a list of differentially expressed genes are considered. From 2020, the search has expanded to include non-coding RNAs. Moreover, a search in GEO for "osteoarthritis" datasets has been performed using 'Homo sapiens' and 'Expression profiling by array' filters. Annotations for genes linked to osteoarthritis have been downloaded from external databases.Results
Out of 1204 curated papers, 63 have been included in OsteoDIP, while GEO curation led to the collection of 28
SUBMITTER: Pastrello C
PROVIDER: S-EPMC9718079 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature