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Updated: Feb 15, 2026

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
Published on: April 10, 2018
Quantification of non-coding RNA target localization diversity and its application in cancers
Lixin Cheng1, Kwong-Sak Leung1
1Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
We developed ncTALENT to measure non-coding RNA (ncRNA) target localization diversity. High diversity in ncRNA targets is linked to cancer and impacts clinical prognosis.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Subcellular localization is crucial for RNA and protein function.
- Protein interaction localization diversity is studied, but ncRNA target protein localization diversity is not.
- Understanding ncRNA target localization is vital, especially in cancer.
Purpose of the Study:
- To develop a novel algorithm, ncTALENT, to quantify ncRNA target localization diversity.
- To investigate the characteristics of target localization diversity in long non-coding RNAs (lncRNAs).
- To explore the association between lncRNA target localization diversity and cancer.
Main Methods:
- Developed the non-coding RNA target localization coefficient (ncTALENT) algorithm.
- Utilized ncRNA-protein interaction and protein subcellular localization data.
- Analyzed lncRNAs across different biotypes and in various cancer contexts.
Main Results:
- ncTALENT quantifies how diversely ncRNA targets are distributed across subcellular locations.
- Target localization diversity is a key characteristic of lncRNAs.
- lncRNAs implicated in cancer, differentially expressed cancer lncRNAs, and those with multiple cancer targets exhibit higher diversity.
- lncRNA target localization diversity is associated with clinical prognosis in gastric cancer.
Conclusions:
- ncTALENT provides a novel metric for assessing ncRNA target localization diversity.
- Target localization diversity is an intrinsic feature of lncRNAs with implications in cancer.
- This diversity is linked to cancer development and patient outcomes, particularly in gastric cancer.
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