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Journal article
Identifying Structural Domains and Conserved Regions in the Long Non-Coding RNA lncTCF7
International journal of molecular sciences, v 20(19), p4770
01 Oct 2019
PMID: 31561429
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Long non-coding RNA (lncRNA) biology is a rapidly growing area of study. Thousands of lncRNAs are implicated as key players in cellular pathways and cancer biology. However, the structure-function relationships of these novel biomolecules are not well understood. Recent structural studies suggest that lncRNAs contain modular structural domains, which play a crucial role in their function. Here, we hypothesized that such structural domains exist in lncTCF7, a conserved lncRNA implicated in the development and progression of several cancers. To understand the structure-function relationship of lncTCF7, we characterized its secondary structure using chemical probing methods. Our model revealed structural domains and conserved regions in lncTCF7. One of the modular domains identified here coincides with a known protein-interacting domain. The model reported herein is, to our knowledge, the first structural model of lncTCF7 and thus will serve to direct future studies that will provide fundamental insights into the function of this lncRNA.
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Details
- Title
- Identifying Structural Domains and Conserved Regions in the Long Non-Coding RNA lncTCF7
- Creators
- Michael C. Owens - Drexel UniversitySean C. Clark - Drexel UniversityAllison Yankey - Drexel UniversitySrinivas Somarowthu - Drexel University
- Publication Details
- International journal of molecular sciences, v 20(19), p4770
- Publisher
- Mdpi
- Number of pages
- 13
- Grant note
- Drexel University College of Medicine SAP 4100079710 / Pennsylvania Department of Health
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Biochemistry and Molecular Biology
- Web of Science ID
- WOS:000494798300111
- Scopus ID
- 2-s2.0-85072706920
- Other Identifier
- 991019167576604721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biochemistry & Molecular Biology
- Chemistry, Multidisciplinary