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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
09:36

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

Identification and Functional Inference for Tumor-Associated Long Non-Coding RNA

Ying Li, Ye He, Siyu Han

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |March 31, 2017
    PubMed

    Insights

    This study introduces a computational method to identify long non-coding RNAs (lncRNAs) linked to gastric cancer. It proposes LINC00365 as a potential biomarker for early detection, aiding in understanding gastric cancer mechanisms.

    Area of Science:

    • Oncology
    • Genomics
    • Bioinformatics

    Background:

    • Gastric cancer is a leading cause of cancer mortality globally, particularly in China.
    • The role of long non-coding RNAs (lncRNAs) in gastric cancer pathogenesis is increasingly recognized but not fully understood.
    • Experimental methods for identifying cancer-related lncRNAs are time-consuming and costly.

    Purpose of the Study:

    • To develop a computational approach for identifying gastric cancer-associated lncRNAs.
    • To identify specific lncRNAs and their target genes as potential biomarkers for gastric cancer.
    • To explore the biological functions and molecular mechanisms of identified lncRNAs and genes in gastric cancer.

    Main Methods:

    • A computational method was developed to analyze exon-based array data for gastric cancer.
    • The method reused existing gastric cancer data to identify dysregulated lncRNAs.
    • Differentially expressed genes targeted by identified lncRNAs were analyzed for potential biomarker utility.

    Main Results:

    • A specific long non-coding RNA, LINC00365, was identified as a candidate biomarker for gastric cancer.
    • Target genes of LINC00365, with products excreted in blood, urine, or saliva, were identified.
    • These findings suggest a potential combined biomarker for gastric cancer detection.

    Conclusions:

    • The proposed computational method offers an efficient alternative to experimental approaches for identifying cancer-related lncRNAs.
    • LINC00365 and its associated excretory target genes show promise as a novel combined biomarker for gastric cancer.
    • Further investigation into the biological functions of these biomarkers can enhance understanding of gastric cancer molecular mechanisms.

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