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. 2012 Aug 7:7:25.
doi: 10.1186/1745-6150-7-25.

Integrative transcriptome analysis suggest processing of a subset of long non-coding RNAs to small RNAs

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Integrative transcriptome analysis suggest processing of a subset of long non-coding RNAs to small RNAs

Saakshi Jalali et al. Biol Direct. .

Abstract

Background: The availability of sequencing technology has enabled understanding of transcriptomes through genome-wide approaches including RNA-sequencing. Contrary to the previous assumption that large tracts of the eukaryotic genomes are not transcriptionally active, recent evidence from transcriptome sequencing approaches have revealed pervasive transcription in many genomes of higher eukaryotes. Many of these loci encode transcripts that have no obvious protein-coding potential and are designated as non-coding RNA (ncRNA). Non-coding RNAs are classified empirically as small and long non-coding RNAs based on the size of the functional RNAs. Each of these classes is further classified into functional subclasses. Although microRNAs (miRNA), one of the major subclass of ncRNAs, have been extensively studied for their roles in regulation of gene expression and involvement in a large number of patho-physiological processes, the functions of a large proportion of long non-coding RNAs (lncRNA) still remains elusive. We hypothesized that some lncRNAs could potentially be processed to small RNA and thus could have a dual regulatory output.

Results: Integration of large-scale independent experimental datasets in public domain revealed that certain well studied lncRNAs harbor small RNA clusters. Expression analysis of the small RNA clusters in different tissue and cell types reveal that they are differentially regulated suggesting a regulated biogenesis mechanism.

Conclusions: Our analysis suggests existence of a potentially novel pathway for lncRNA processing into small RNAs. Expression analysis, further suggests that this pathway is regulated. We argue that this evidence supports our hypothesis, though limitations of the datasets and analysis cannot completely rule out alternate possibilities. Further in-depth experimental verification of the observation could potentially reveal a novel pathway for biogenesis.

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Figures

Figure 1
Figure 1
An example depicting the PTENP1 lncRNA harbouring five small RNA clusters (numbered 1–5) derived from deepBase. The fifth cluster is shown to have differential expression of the 3 smallRNAs which are mapped on it using the smallRNA cloning data from smiRNAdb database. The subset of the figure also shows the correlation of differential expression of the clusters in different tissues and cell-lines.
Figure 2
Figure 2
Representation of the entire length of lncRNAs derived from Gencode which was divided into frames of 5 percent each and are plotted against the mapping frequencies of small RNA clusters exhibiting positional preference of the clusters towards ends of lncRNAs.
Figure 3
Figure 3
An overview of data mapping and integration for analysis of small RNA clusters in lncRNA loci.

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