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Additional file 3 of Plasma circRNA microarray profiling identifies novel circRNA biomarkers for the diagnosis of ovarian cancer

Authors :
Ge, Lili
Sun, Yu
Shi, Yaqian
Liu, Guangquan
Teng, Fang
Geng, Zhe
Chen, Xiyi
Xu, Hanzi
Xu, Juan
Jia, Xuemei
Publication Year :
2022
Publisher :
figshare, 2022.

Abstract

Additional file 3: Table S1. Clinicopathological characteristics of the enrolled patients. Table S2. Primer sequences for real-time PCR or quantitative real-time PCR. Table S3. The miRNA target prediction software circInteratome and circbank predicted miRNAs which could bind hsa_circ_0003972. Table S4. The miRNA target prediction software circInteratome and circbank predicted miRNAs which could bind hsa_circ_0007288. Table S5. The expression profile of the miRNAs that were upregulated in OC tissues as compared with normal ovarian tissues downloaded from GSE47841. Table S6. The downregulated mRNAs in OC tissues in TCGA database compared with normal ovarian tissues in GTEx database. Table S7. The 137 candidate mRNAs expression pattern in OC tissues as compared with normal ovarian tissues. Table S8. The microarray results of the 46 upregulated circRNAs and 595 downregulated circRNAs in OC patients compared with the benign control (fold change > 2 and P-value

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....31b742c7b677889b3201759f19698b79
Full Text :
https://doi.org/10.6084/m9.figshare.19759305.v1