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Dataset Information

High-throughput sequencing identification of differentially expressed microRNAs in metastatic ovarian cancer with experimental validations.


ABSTRACT:

Background

Ovarian cancer (OC) is a common gynecological cancer and characterized by high metastatic potential. MicroRNAs (miRNAs, miRs) have the promise to be harnessed as prognostic and therapeutic biomarkers for OC. Herein, we sought to identify differentially expressed miRNAs and mRNAs in metastatic OC, and to validate them with functional experiments.

Methods

Differentially expressed miRNAs and mRNAs were screened from six pairs of primary OC tissues and metastatic tissues using a miRStar™ Human Cancer Focus miRNA and Target mRNA PCR Array. Then, gene expression profiling results were verified by reverse transcription quantitative polymerase chain reaction (RT-qPCR) and western blot assays. The binding affinity between miR-7-5p and TGFβ2 was validated by dual-luciferase

SUBMITTER: Gu Y 

PROVIDER: S-EPMC7579798 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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