TITLE:
Exploratory Transcriptomic Analysis of a Selected Comparison in the GSE206848 Synovium Microarray Dataset
AUTHORS:
Pengyuan He, Junxiu Zhou, Lizhu Lu, Haidong Zhou, Jihua Wei
KEYWORDS:
GSE206848, Synovium, Microarray, Exploratory Analysis, Limma, Osteoarthritis, Rheumatoid Arthritis
JOURNAL NAME:
Journal of Biosciences and Medicines,
Vol.14 No.6,
June
25,
2026
ABSTRACT: Background: Osteoarthritis (OA) is a common degenerative joint disease in which synovial inflammation contributes to pain and structural progression. The public GSE206848 dataset contains normal, OA, and rheumatoid arthritis (RA) synovium samples and can be used for exploratory transcriptomic screening. During revision, the sample labels in the uploaded online analysis report were checked against the GEO record. The online report used seven normal synovium samples as the reference group and two test samples; these test samples correspond to RA synovium rather than the seven OA synovium samples. Therefore, the findings are presented only as exploratory results from the selected comparison and should not be interpreted as OA diagnostic biomarkers. Methods: This study did not reprocess raw CEL files or independently redownload a new raw expression matrix from GEO. Instead, the revision was based on the processed expression matrix and differential-expression output provided in the uploaded online analysis report for GSE206848. According to the report documentation, processed expression values were retrieved from GEO by GEOquery and analyzed with limma in R. The dataset is listed on platform GPL570, Affymetrix Human Genome U133 Plus 2.0 Array. Quantile normalization was applied in the online workflow to align sample expression distributions. Differentially expressed genes (DEGs) were screened using |log2 fold change| > 1 and nominal P Results: The online report included seven reference samples and two test samples. Box plots showed broadly comparable expression distributions after normalization, and PCA suggested separation between the two selected groups. A total of 1082 genes met the nominal screening threshold. Only CYP2C19 remained significant after multiple-testing correction among the representative genes listed in the original table. Other genes such as LEP, ADIPOQ, GPD1, PLIN1, CRP, PTX3, KRT6A, and KLF9 should be described as nominally different or representative genes rather than FDR-significant genes. Conclusion: This exploratory analysis identified genes showing differential expression in the selected GSE206848 comparison included in the online report. Because the test group contains only two samples and corresponds to RA rather than OA, the results cannot support OA diagnostic-biomarker or therapeutic-target claims without reanalysis of the seven OA samples and independent validation.