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Updated: May 24, 2026
MeRIP-qPCR Assay for Detecting m6A Modification Levels of Specific RNA in Osteosarcoma Cells
Published on: December 30, 2025
[Screening of serum marker proteins in osteosarcoma and preliminary bioinformatic analysis on POLR3F]
Guo-dong Li1, Zheng-dong Cai, Xiao-jun Ma
1Department of Orthopaedics, Shanghai Tenth People's Hospital, Shanghai, China. litrue2004@yahoo.com.cn
Objective:
To screen potential serum marker proteins of osteosarcoma, and to make a preliminary bioinformatics analysis of RNA polymerase III polypeptide F (POLR3F).
Methods:
Gene chip and SELDI-TOF MS was used to screen genes differentially expressed in osteosarcoma. The associations of potential biomarkers from SELDI data and microarray analysis were further inferred by link-test to identify biomarkers that could likely be used for diagnosis. MATLAB was used to search transcription factors binding site in the promoter region and miRNAs binding site in 3'-UTR of POLR3F, respectively.
Results:
653 differentially expressed genes were found in osteosarcoma cells, while six differentially expressed protein peaks with significant statistical significances were detected by SELDI-TOF MS in patient's serum. 13 potential biomarkers for early diagnosis of osteosarcoma were screened by link-test. A conserved STAT3 binding site and a miRNA target site were found in proximal promoter regions and 3'-UTR region of POLR3F, respectively.
Conclusions:
Link-test is a effective method to identify osteosarcoma biomarkers from both microarray and SELDI-TOF MS database. The results confirmed that POLR3F may be a promising biomarker for early diagnosis and a therapy target of osteosarcoma.
