LongTarget: a tool to predict lncRNA DNA-binding motifs and binding sites via Hoogsteen base-pairing analysis
In mammalian cells, many genes are silenced by genome methylation. DNA methyltransferases and polycomb repressive complexes, which both lack sequence-specific DNA-binding motifs, are recruited by long non-coding RNA (lncRNA) to specific genomic sites to methylate DNA and chromatin. Increasing eviden...
Gespeichert in:
Veröffentlicht in: | Bioinformatics (Oxford, England) England), 2015-01, Vol.31 (2), p.178-186 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | In mammalian cells, many genes are silenced by genome methylation. DNA methyltransferases and polycomb repressive complexes, which both lack sequence-specific DNA-binding motifs, are recruited by long non-coding RNA (lncRNA) to specific genomic sites to methylate DNA and chromatin. Increasing evidence indicates that many lncRNAs contain DNA-binding motifs that can bind to DNA by forming RNA:DNA triplexes. The identification of lncRNA DNA-binding motifs and binding sites is essential for deciphering lncRNA functions and correct and erroneous genome methylation; however, such identification is challenging because lncRNAs may contain thousands of nucleotides. No computational analysis of typical lncRNAs has been reported. Here, we report a computational method and program (LongTarget) to predict lncRNA DNA-binding motifs and binding sites. We used this program to analyse multiple antisense lncRNAs, including those that control well-known imprinting clusters, and obtained results agreeing with experimental observations and epigenetic marks. These results suggest that it is feasible to predict many lncRNA DNA-binding motifs and binding sites genome-wide.
Website of LongTarget: lncrna.smu.edu.cn, or contact: hao.zhu@ymail.com.
Supplementary data are available at Bioinformatics online. |
---|---|
ISSN: | 1367-4803 1367-4811 |
DOI: | 10.1093/bioinformatics/btu643 |