Integration of expressed sequence tag data flanking predicted RNA secondary structures facilitates novel non-coding RNA discovery

Detection of PIWI and piRNAs in the mitochondria of mammalian cancer cells

Piwi-interacting RNAs (piRNAs) are 26-31 nt small noncoding RNAs that are processed from their longer precursor transcripts by Piwi proteins. Localization of Piwi and piRNA has been reported mostly in nucleus and cytoplasm of higher eukaryotes germ-line cells, where it is believed that known piRNA sequences are located in repeat regions of nuclear genome in germ-line cells. However, localization of PIWI and piRNA in mammalian somatic cell mitochondria yet remains largely unknown. We identified 29 piRNA sequence alignments from various regions of the human mitochondrial genome. Twelve out 29 piRNA sequences matched stem-loop fragment sequences of seven distinct tRNAs. We observed their actual expression in mitochondria subcellular fractions by inspecting mitochondrial-specific small RNA-Seq datasets. Of interest, the majority of the 29 piRNAs overlapped with multiple longer transcripts (expressed sequence tags) that are unique to the human mitochondrial genome. The presence of mature piRNAs in mitochondria was detected by qRT-PCR of mitochondrial subcellular RNAs. Further validation showed detection of Piwi by colocalization using anti-Piwil1 and mitochondria organelle-specific protein antibodies.

Identification and characterization of microRNAs in the crab-eating macaque (Macaca fascicularis) using transcriptome analysis

MicroRNAs (miRNAs), with an average length between 16 nt and 26 nt, are small non-coding RNAs that can repress gene expression on the post-transcriptional level. Macaca fascicularis (M. fascicularis), one of the most important nonhuman primate animal models, is widely used in basic and applied preclinical research, especially in studies that involve neuroscience and disease. However, due to the lack of a complete genome sequence, the miRNAs in M. fascicularis have not been completely characterized. In this study, 86 putative M. fascicularis miRNAs were identified using a strategy of our design. The expression of some of these miRNAs in the tissue was confirmed by qRT-PCR. The function and pathway of their targeted genes were analyzed to reveal the potential relevance of miRNA regulation on diseases and physiological processes. The current study provides insight into potential miRNAs and forms a useful knowledge base for the future understanding of the function of miRNAs in M. fascicularis.

Bioinformatic identification and validation of conservative microRNAs in Ictalurus punctatus

Catfish (Ictalurus spp.) is an important aquaculture species around the world, accounting for over 60 % of the domestic aquaculture output in the United States. However, little information is available about I. punctatus miRNAs which play an important role in the regulation of almost every biological process. In the present studies, we applied a bioinformatic strategy to identify 16 miRNAs which represent 12 miRNA families in I. punctatus by searching both expressed sequence tags and genome survey sequences databases. The A + U contents of the candidate pre-miRNA sequence range from 51 to 63 %, and the pre-miRNA sequences vary from 55 to 63 bp in length. To verify the predicted miRNAs, real-time PCR was used to profile the expression of 16 miRNAs with different tissues of I. punctatus. All the miRNA candidates were detectable in five tissues except for ipu-miR-9-3p. Based on sequence complementarity between miRNAs and their mRNA targets, potential targets for I. punctatus miRNAs were predicted. Due to the limited information for the I. punctatus transcripts, only one sequence targeted by ipu-miR-135 was identified to be an I. punctatus EB1 mRNA. Bioinformatic analyses indicated that the 3' untranslated region (3'-UTR) of EB1 mRNA contains an ipu-miR-135 target site, which are perfectly complementary to the seed region (positions 2-8) of the mature ipu-miR-135. I. punctatus miRNAs characterized in this study may provide useful information for the miRNAs research in I. punctatus and other aquaculture species.

Identification and Characterization of MicroRNAs in Macaca fascicularis by EST Analysis

MicroRNAs (miRNAs) are small noncoding RNAs which repress gene expression at the posttranscriptional level. In this study, an expressed sequence tag (EST)-based combined method was applied for the detection of miRNAs in Macaca fascicularis which is used as a model animal extensively in medical experiments, particularly those involved with neuroscience and disease. Initially, previously known miRNA sequences from metazoans were used to blast with the EST databases of Macaca fascicularis, and then a range of filtering criteria was conducted to remove some pseudo ones. At last a total of 8 novel conserved miRNAs were identified; their functions were further predicted and analyzed. Together, our study provides insight into miRNAs and their functions in Macaca fascicularis, indicating that the EST analysis is an efficient and affordable alternative approach for identifying novel miRNA candidates.

Computational approaches to discovering noncoding RNA

New developments are being brought to the field of molecular biology with the mounting evidence that RNA transcripts not translated into protein (noncoding RNAs, ncRNAs) hold a variety of biological functions. Computational discovery of ncRNAs is one of these developments, fueled not only by the urge to characterize these sequences but also by necessity to prioritize ones with the most relevant functions for experimental verification. The heterogeneity in size and mode of activity of ncRNAs is reflected in the corresponding diversity of computational methods for their study. Sequence and structural analysis, conservation across species, and relative position to other genomic elements are being used for ncRNA detection. In addition, the recent development of techniques that allow deep sequencing of cell transcripts either globally or from isolated ncRNA-related material is leading the field toward increased use of such high-throughput data. We expect that imminent breakthroughs will include the classification of newer types of ncRNA and new insights into miRNA and piRNA biology, eventually leading toward the completion of a catalog of all human ncRNAs.