Dataset Information

Systematic classification of non-coding RNAs by epigenomic similarity.

ABSTRACT:

Background

Even though only 1.5% of the human genome is translated into proteins, recent reports indicate that most of it is transcribed into non-coding RNAs (ncRNAs), which are becoming the subject of increased scientific interest. We hypothesized that examining how different classes of ncRNAs co-localized with annotated epigenomic elements could help understand the functions, regulatory mechanisms, and relationships among ncRNA families.

Results

We examined 15 different ncRNA classes for statistically significant genomic co-localizations with cell type-specific chromatin segmentation states, transcription factor binding sites (TFBSs), and histone modification marks using GenomeRunner (http://www.genomerunner.org). P-values were obtained using a Chi-square test and corrected for multiple testing using the Benjamini-Hochberg procedure. We clustered and visualized the ncRNA classes by the strength of their statistical enrichments and depletions.

Conclusions

Searching for statistically significant associations between ncRNA classes and epigenomic elements permits detection of potential functional and/or regulatory relationships among ncRNA classes, and suggests cell type-specific biological roles of ncRNAs.

SUBMITTER: Dozmorov MG

PROVIDER: S-EPMC3851203 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Publications

Systematic classification of non-coding RNAs by epigenomic similarity.

Dozmorov Mikhail G MG Giles Cory B CB Koelsch Kristi A KA Wren Jonathan D JD

BMC bioinformatics 20131009

<h4>Background</h4>Even though only 1.5% of the human genome is translated into proteins, recent reports indicate that most of it is transcribed into non-coding RNAs (ncRNAs), which are becoming the subject of increased scientific interest. We hypothesized that examining how different classes of ncRNAs co-localized with annotated epigenomic elements could help understand the functions, regulatory mechanisms, and relationships among ncRNA families.<h4>Results</h4>We examined 15 different ncRNA cl ...[more]

PMID: 24267974

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Project description:Breast milk is the primary source of nutrition and hydration for the newborn infant but also plays an important role in the child's first immune defense. Additionally, several breast milk factors have been implicated in immune-related health outcomes later in life, including immunoglobulins, cytokines, chemokines, growth factors and, more recently, non-coding RNA (ncRNA) species. In this systematic review, we provide a comprehensive summary of the current literature on endogenous ncRNAs found in human breast milk. Thirty (30) relevant studies were identified and, whilst the majority studies focused on microRNAs (miRNAs), there is evidence that breast milk contains high quantities of RNA which also include long-coding RNAs, circular RNAs, as well as other short RNAs and fragmented tRNA and rRNAs. Among studies investigating miRNAs, miR-148a-3p, miR-30a/d-5p, miR-22-3p, miR-146b-5p, miR-200a/c-3p, and the 5p end of the let-7 miRNAs were commonly reported among the top 10 miRNAs in the cell, lipid, and skim milk fractions of breast milk. Methodological difference and small sample sizes limit the possibility of conclusively identifying which maternal and infant characteristics affect the miRNA profile. The highly expressed miRNAs were generally reported to be similar across lactational stage, milk fraction, maternal and infant characteristics, or infant growth and health. All the same, individual studies identify potential differences in miRNA expression levels which should be confirmed by future studies. Stability, uptake, and physiological functions of miRNAs were also considered in several studies. Breast milk miRNAs are relatively resistant to a range of harsh conditions and uptake experiments suggest that extracellular vesicles containing miRNAs and circular RNAs can be taken up by intestinal epithelial cells. Although the evidence regarding the functional effect of breast milk miRNAs is limited, the predicted functions range from metabolic and biosynthetic processes to signaling pathways, cellular adhesion, communication, growth, and differentiation. Finally, this systematic review highlights some of the methodological challenges and knowledge gaps which can help direct future research in this field. In particular, it is important to further investigate the bioavailability of miRNAs in different milk fractions, and to characterize other ncRNAs which are largely unstudied.Systematic review registrationPROSPERO https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=138989, identifier CRD42020138989.

Project description:BACKGROUND:Long non-coding RNAs (lncRNAs) are key regulators of diverse cellular processes. Although a number of studies have reported the identification of bovine lncRNAs across many tissues, very little is known about the identity and characteristics of lncRNAs in bovine oocytes. METHODS:A bovine oocyte cDNA library was constructed and sequenced using the Illumina HiSeq 2000 sequencing system. The oocyte transcriptome was constructed using the ab initio assembly software Scripture and Cufflinks. The assembled transcripts were categorized to identify the novel intergenic transcripts, and the coding potential of these novel transcripts was assessed using CPAT and PhyloCSF. The resulting candidate long intergenic non-coding RNAs (lincRNAs) transcripts were further evaluated to determine if any of them contain any known protein coding domains in the Pfam database. RT-PCR was used to analyze the expression of oocyte-expressed lincRNAs in various bovine tissues. RESULTS:A total of 85 million raw reads were generated from sequencing of the bovine oocyte library. Transcriptome reconstruction resulted in the assembly of a total of 42,396 transcripts from 37,678 genomic loci. Analysis of the assembled transcripts using the step-wide pipeline resulted in the identification of 1535 oocyte lincRNAs corresponding to 1183 putative non-coding genes. A comparison of the oocyte lincRNAs with the lncRNAs reported in other bovine tissues indicated that 970 of the 1535 oocyte lincRNAs appear to be unique to bovine oocytes. RT-PCR analysis of 5 selected lincRNAs showed either specific or predominant expression of 4 lincRNAs in the fetal ovary. Functional prediction of the oocyte-expressed lincRNAs suggested their involvement in oogenesis through regulating their neighboring protein-coding genes. CONCLUSIONS:This study provides a starting point for future research aimed at understanding the roles of lncRNAs in controlling oocyte development and early embryogenesis in cattle.

Dataset Information

Systematic classification of non-coding RNAs by epigenomic similarity.

Background

Results

Conclusions

Publications

Systematic classification of non-coding RNAs by epigenomic similarity.

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