Functional microRNAs and target sites are created by lineage-specific transposition

Role of non-coding RNAs in development and progression of hepatocellular carcinoma

Non-coding RNAs (ncRNAs) refer to all RNAs without protein encoding function due to the lack of an open reading frame, and they are often transcribed from the complementary strand of protein encoding genes. Based on the length, ncRNAs can be divided into long ncRNAs (lncRNAs) and short ncRNAs, and short ncRNAs include microRNAs, piRNAs and so on. ncRNAs are not only involved in life activities but also closely related to tumor cell differentiation, proliferation, migration, invasion and infiltration. ncRNAs play an important role in the development of cancer. Hepatocellular carcinoma is a digestive cancer with high incidence and mortality rates, posing a serious threat to human health; however, its pathogenesis is still unclear. In recent years, a large number of studies have found that changes in the expression of ncRNAs have a pivotal role in the development of hepatocellular carcinoma. This review summarizes the current state of knowledge about the association between ncRNAs sand hepatocellular carcinoma, with an aim to provide some clues to its diagnosis and treatment.

LINE-1 retrotransposons and let-7 miRNA: partners in the pathogenesis of cancer?

Long interspersed nuclear element-1 (LINE-1 or L1) retrotransposons are insertional mutagens capable of altering the genomic landscape in many ways. Activation of the normally silent LINE-1 retrotransposon is associated with a high level of cancer-associated DNA damage and genomic instability. Studies of LINE-1 have so far focused mainly on changes in gene expression, and our knowledge of its impact on functional non-coding RNAs is in its infancy. However, current evidence suggests that a significant number of human miRNAs originate from retrotransposon sequences. Furthermore, LINE-1 is generally not expressed in normal tissues while its expression is widespread in epithelial cancers. Based on our recent studies, we demonstrate a functional link between aberrant LINE-1 expression and deregulation of let-7 miRNA expression. Since the expression of let-7 is modulated by LINE-1 activity, we discuss possible mechanisms for this effect and how the silencing of LINE-1 activation could provide new therapeutic options for cancer treatment. Based on the deep sequencing of small RNAs in parallel with gene expression profiling in breast cancer cells, we have identified potential pathways linking L1 activity to let-7 processing and maturation and ultimately to the control of stemness in human cancer cells.

The persistent contributions of RNA to eukaryotic gen(om)e architecture and cellular function

Currently, the best scenario for earliest forms of life is based on RNA molecules as they have the proven ability to catalyze enzymatic reactions and harbor genetic information. Evolutionary principles valid today become apparent in such models already. Furthermore, many features of eukaryotic genome architecture might have their origins in an RNA or RNA/protein (RNP) world, including the onset of a further transition, when DNA replaced RNA as the genetic bookkeeper of the cell. Chromosome maintenance, splicing, and regulatory function via RNA may be deeply rooted in the RNA/RNP worlds. Mostly in eukaryotes, conversion from RNA to DNA is still ongoing, which greatly impacts the plasticity of extant genomes. Raw material for novel genes encoding protein or RNA, or parts of genes including regulatory elements that selection can act on, continues to enter the evolutionary lottery.

The RIDL hypothesis: transposable elements as functional domains of long noncoding RNAs

Our genome contains tens of thousands of long noncoding RNAs (lncRNAs), many of which are likely to have genetic regulatory functions. It has been proposed that lncRNA are organized into combinations of discrete functional domains, but the nature of these and their identification remain elusive. One class of sequence elements that is enriched in lncRNA is represented by transposable elements (TEs), repetitive mobile genetic sequences that have contributed widely to genome evolution through a process termed exaptation. Here, we link these two concepts by proposing that exonic TEs act as RNA domains that are essential for lncRNA function. We term such elements Repeat Insertion Domains of LncRNAs (RIDLs). A growing number of RIDLs have been experimentally defined, where TE-derived fragments of lncRNA act as RNA-, DNA-, and protein-binding domains. We propose that these reflect a more general phenomenon of exaptation during lncRNA evolution, where inserted TE sequences are repurposed as recognition sites for both protein and nucleic acids. We discuss a series of genomic screens that may be used in the future to systematically discover RIDLs. The RIDL hypothesis has the potential to explain how functional evolution can keep pace with the rapid gene evolution observed in lncRNA. More practically, TE maps may in the future be used to predict lncRNA function.

Burgeoning evidence indicates that microRNAs were initially formed from transposable element sequences

MicroRNAs (miRNAs) constitute a recently discovered class of noncoding RNAs that play key roles in the regulation of gene expression. Despite being only ~20 nucleotides in length, these highly versatile molecules have been shown to play pivotal roles in development, basic cellular metabolism, apoptosis, and disease. While over 24,000 miRNAs have been characterized since they were first isolated in mammals in 2001, the functions of the majority of these miRNAs remain largely undescribed. That said, many now suggest that characterization of the relationships between miRNAs and transposable elements (TEs) can help elucidate miRNA functionality. Strikingly, over 20 publications have now reported the initial formation of thousands of miRNA loci from TE sequences. In this review we chronicle the findings of these reports, discuss the evolution of the field along with future directions, and examine how this information can be used to ascertain insights into miRNA transcriptional regulation and how it can be exploited to facilitate miRNA target prediction.