MiRNA editing

Transcriptome-wide expansion of non-coding regulatory switches: evidence from co-occurrence of Alu exonization, antisense and editing

Non-coding RNAs from transposable elements of human genome are gaining prominence in modulating transcriptome dynamics. Alu elements, as exonized, edited and antisense components within same transcripts could create novel regulatory switches in response to different transcriptional cues. We provide the first evidence for co-occurrences of these events at transcriptome-wide scale through integrative analysis of data sets across diverse experimental platforms and tissues. This involved the following: (i) positional anchoring of Alu exonization events in the UTRs and CDS of 4663 transcript isoforms from RefSeq mRNAs and (ii) mapping on to them A→I editing events inferred from ∼7 million ESTs from dbEST and antisense transcripts identified from virtual serial analysis of gene expression tags represented in Cancer Genome Anatomy Project next-generation sequencing data sets across 20 tissues. We observed significant enrichment of these events in the 3'UTR as well as positional preference within the embedded Alus. More than 300 genes had co-occurrence of all these events at the exon level and were significantly enriched in apoptosis and lysosomal processes. Further, we demonstrate functional evidence of such dynamic interactions between Alu-mediated events in a time series data from Integrated Personal Omics Profiling during recovery from a viral infection. Such 'single transcript-multiple fate' opportunity facilitated by Alu elements may modulate transcriptional response, especially during stress.

[Application of next generation sequencing in microRNA detection]

MicroRNAs (miRNAs) are a class of ~22nt long non-coding RNAs. They are evolutionarily conserved and play essential roles in the regulation of post-transcriptional gene expression. The rapidly developing next generation sequencing (NGS) has important applications in miRNA detection. This review is focused on the mechanism of three NGS platforms and their applications in miRNA detection. In contrast to traditional methods, NGS has major advantages: high throughput, precise, accurate, and repeatable. Its application includes new miRNAs exploration, detection of miRNA*, miRNA editing, and isomiR and target mRNA detection. As NGS develops, the cost of sequencing is declining which makes it possible for NGS to be widely used in the coming years. Next generation sequencing will greatly promote researches of miRNAs.

Regulation of senescence by microRNA biogenesis factors

Senescence represents a state of indefinite growth arrest in cells that have reached the end of their replicative life span, have become damaged, or express aberrant levels of cancer-related proteins. While senescence is widely considered to represent a tumor-suppressive mechanism, the accumulation of senescent cells in tissues of older organisms is believed to underlie age-associated losses in physiologic function and age-related diseases. With the emergence of microRNAs (miRNAs) as a major class of molecular regulators of senescence, we review the transcriptional and post-transcriptional factors that control senescence-associated microRNA biosynthesis. Focusing on their enhancement or repression of senescence, we describe the transcription factors that govern the synthesis of primary (pri-)miRNAs, the proteins that control the nuclear processing of pri-miRNAs into precursor (pre-)miRNAs, including RNA editing enzymes, RNases, and RNA helicases, and the cytoplasmic proteins that affect the final processing of pre-miRNAs into mature miRNAs. We discuss how miRNA biogenesis proteins promote or inhibit senescence, and thus influence the senescent phenotype that affects normal tissue function and pathology.

Quantification of adenosine-to-inosine editing of microRNAs using a conventional method

In this protocol, I describe a method for measuring the frequency of adenosine-to-inosine RNA editing of primary, precursor and mature forms of specific microRNAs (miRNAs) derived from the same source. The procedure involves reverse transcription (RT)-PCR amplification of regions containing the editing sites followed by subcloning of the PCR products and sequencing. In contrast to deep sequencing, this method does not require any specialized equipment. Pri-miRNAs, which are relatively long primary transcripts, are amplified using a conventional RT-PCR method. Therefore, this method can be adapted for any known RNA-editing sites. In contrast, 3' polyadenylation followed by 5' adaptor ligation is indispensable for amplification of pre-miRNAs and mature miRNAs. The complete protocol takes ∼1 week. I also include details of direct sequence analysis of the PCR products derived from pri-miRNAs as an alternative method. Although it is not as precise as the subcloning method, this procedure enables us to study RNA-editing events of many samples.

Deep-sequencing of endothelial cells exposed to hypoxia reveals the complexity of known and novel microRNAs

In order to understand the role of microRNAs (miRNAs) in vascular physiopathology, we took advantage of deep-sequencing techniques to accurately and comprehensively profile the entire miRNA population expressed by endothelial cells exposed to hypoxia. SOLiD sequencing of small RNAs derived from human umbilical vein endothelial cells (HUVECs) exposed to 1% O₂ or normoxia for 24 h yielded more than 22 million reads per library. A customized bioinformatic pipeline identified more than 400 annotated microRNA/microRNA* species with a broad abundance range: miR-21 and miR-126 totaled almost 40% of all miRNAs. A complex repertoire of isomiRs was found, displaying also 5' variations, potentially affecting target recognition. High-stringency bioinformatic analysis identified microRNA candidates, whose predicted pre-miRNAs folded into a stable hairpin. Validation of a subset by qPCR identified 18 high-confidence novel miRNAs as detectable in independent HUVEC cultures and associated to the RISC complex. The expression of two novel miRNAs was significantly down-modulated by hypoxia, while miR-210 was significantly induced. Gene ontology analysis of their predicted targets revealed a significant association to hypoxia-inducible factor signaling, cardiovascular diseases, and cancer. Overexpression of the novel miRNAs in hypoxic endothelial cells affected cell growth and confirmed the biological relevance of their down-modulation. In conclusion, deep-sequencing accurately profiled known, variant, and novel microRNAs expressed by endothelial cells in normoxia and hypoxia.

Accurate identification of A-to-I RNA editing in human by transcriptome sequencing

RNA editing enhances the diversity of gene products at the post-transcriptional level. Approaches for genome-wide identification of RNA editing face two main challenges: separating true editing sites from false discoveries and accurate estimation of editing levels. We developed an approach to analyze transcriptome sequencing data (RNA-seq) for global identification of RNA editing in cells for which whole-genome sequencing data are available. We applied the method to analyze RNA-seq data of a human glioblastoma cell line, U87MG. Around 10,000 DNA-RNA differences were identified, the majority being putative A-to-I editing sites. These predicted A-to-I events were associated with a low false-discovery rate (∼5%). Moreover, the estimated editing levels from RNA-seq correlated well with those based on traditional clonal sequencing. Our results further facilitated unbiased characterization of the sequence and evolutionary features flanking predicted A-to-I editing sites and discovery of a conserved RNA structural motif that may be functionally relevant to editing. Genes with predicted A-to-I editing were significantly enriched with those known to be involved in cancer, supporting the potential importance of cancer-specific RNA editing. A similar profile of DNA-RNA differences as in U87MG was predicted for another RNA-seq data set obtained from primary breast cancer samples. Remarkably, significant overlap exists between the putative editing sites of the two transcriptomes despite their difference in cell type, cancer type, and genomic backgrounds. Our approach enabled de novo identification of the RNA editome, which sets the stage for further mechanistic studies of this important step of post-transcriptional regulation.