2026-10-14T17:16:51Z https://www.scidb.cn/oai

10.57760/sciencedb.0101u 2026-08-26T13:42:10Z

2026-08-26 Bioinformatics-Based Analysis of Ferroptosis-Related Gene Expression Profiles in Parkinson’s Disease doi:10.57760/sciencedb.0101u en This dataset combines two independent transcriptomic studies—GSE7621 and GSE20141—from the GEO repository, both generated using the Affymetrix GPL570 platform (Human Genome U133 Plus 2.0 Array). The samples were derived from human substantia nigra tissue, comprising 43 cases in total: 26 diagnosed with Parkinson’s disease (PD) and 17 healthy controls. Raw data were collected between 2006 and 2010. Preprocessing involved background correction, normalization, and log2 transformation using the RMA algorithm, followed by batch effect adjustment via the ComBat method. The resulting expression matrix included 17,914 shared genes. All samples passed platform-specific quality control criteria, with no low-quality or outlier cases removed. This dataset is well-suited for bioinformatics investigations into PD-related molecular signatures, differential expression profiling, regulatory network modeling, and the identification of diagnostic biomarkers. In particular, it serves as a robust public resource for exploring transcriptomic alterations in PD substantia nigra linked to ferroptosis, neuroinflammation, and oxidative stress pathways. bioinformatics; ferroptosis; Parkinson's disease 李智渝 金国翰 PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank