Decoding microRNA drivers in atherosclerosis

An estimated 97% of the human genome consists of non-protein-coding sequences. As our understanding of genome regulation improves, this has led to the characterization of a diverse array of non-coding RNAs (ncRNA). Among these, micro-RNAs (miRNAs) belong to the short ncRNA class (22–25 nucleotides in length), with approximately 2500 miRNA genes encoded within the human genome. From a therapeutic perspective, there is interest in exploiting miRNA as biomarkers of disease progression and response to treatments, as well as miRNA mimics/repressors as novel medicines. miRNA have emerged as an important class of RNA master regulators with important roles identified in the pathogenesis of atherosclerotic cardiovascular disease. Atherosclerosis is characterized by a chronic inflammatory build-up, driven largely by low-density lipoprotein cholesterol accumulation within the artery wall and vascular injury, including endothelial dysfunction, leukocyte recruitment and vascular remodelling. Conventional therapy focuses on lifestyle interventions, blood pressure-lowering medications, high-intensity statin therapy and antiplatelet agents. However, a significant proportion of patients remain at increased risk of cardiovascular disease. This continued cardiovascular risk is referred to as residual risk. Hence, a new drug class targeting atherosclerosis could synergise with existing therapies to optimise outcomes. Here, we review our current understanding of the role of ncRNA, with a focus on miRNA, in the development and progression of atherosclerosis, highlighting novel biological mechanisms and therapeutic avenues.     

长链非编码RNA研究进展

基因组计划研究表明, 在组成人类基因组的30亿个碱基对中, 仅有1.5%的核酸序列用于蛋白质编码, 其余98.5%的基因组为非蛋白质编码序列。这些序列曾被认为是在进化过程中累积的“垃圾序列”而未予以关注, 但在随后启动的ENCODE研究计划中却发现, 75%的基因组序列能够被转录成RNA, 其中近74%的转录产物为非编码RNA(Non-coding RNA, ncRNA)。在非编码RNA中, 绝大多数转录本的长度大于200个碱基, 这些“长链非编码RNA(Long non-coding RNA, lncRNA)”能够在转录及转录后水平上调节蛋白编码基因的表达, 从而广泛地参与包括细胞分化、个体发育在内的重要生命过程, 其异常表达还与多种人类重大疾病的发生密切相关。文章综述了长链非编码RNA的发现、分类、表达、作用机制以及其在个体发育和人类疾病中的作用。     

The relationship between non-protein-coding DNA and eukaryotic complexity

There are two intriguing paradoxes in molecular biology--the inconsistent relationship between organismal complexity and (1) cellular DNA content and (2) the number of protein-coding genes--referred to as the C-value and G-value paradoxes, respectively. The C-value paradox may be largely explained by varying ploidy. The G-value paradox is more problematic, as the extent of protein coding sequence remains relatively static over a wide range of developmental complexity. We show by analysis of sequenced genomes that the relative amount of non-protein-coding sequence increases consistently with complexity. We also show that the distribution of introns in complex organisms is non-random. Genes composed of large amounts of intronic sequence are significantly overrepresented amongst genes that are highly expressed in the nervous system, and amongst genes downregulated in embryonic stem cells and cancers. We suggest that the informational paradox in complex organisms may be explained by the expansion of cis-acting regulatory elements and genes specifying trans-acting non-protein-coding RNAs.     

The central role of RNA in human development and cognition

It appears that the genetic programming of humans and other complex organisms has been misunderstood for the past 50 years, due to the assumption that most genetic information is transacted by proteins. However, the human genome contains only about 20,000 protein-coding genes, similar in number and with largely orthologous functions as those in nematodes that have only 1000 somatic cells. By contrast, the extent of non-protein-coding DNA increases with increasing complexity, reaching 98.8% in humans. The majority of these sequences are dynamically transcribed, mainly into non-protein-coding RNAs, with tens if not hundreds of thousands that show specific expression patterns and subcellular locations, as well as many classes of small regulatory RNAs. The emerging evidence indicates that these RNAs control the epigenetic states that underpin development, and that many are dysregulated in cancer and other complex diseases. Moreover it appears that animals, particularly primates, have evolved plasticity in these RNA regulatory systems, especially in the brain. Thus, it appears that what was dismissed as 'junk' because it was not understood holds the key to understanding human evolution, development, and cognition.     

“Hypothesis for the Modern RNA World”: A <Emphasis Type="Italic">pervasive</Emphasis> Non-coding RNA-Based Genetic Regulation is a Prerequisite for the Emergence of Multicellular Complexity

The transitions to multicellularity mark the most pivotal and distinctive events in life’s history on Earth. Although several transitions to “simple” multicellularity (SM) have been recorded in both bacterial and eukaryotic clades, transitions to complex multicellularity (CM) have only happened a few times in eukaryotes. A large number of cell types (associated with large body size), increased energy consumption per gene expressed, and an increment of non-protein-coding DNA positively correlate with CM. These three factors can indeed be understood as the causes and consequences of the regulation of gene expression. Here, we discuss how a vast expansion of non-protein-coding RNA (ncRNAs) regulators rather than large numbers of novel protein regulators can easily contribute to the emergence of CM. We also propose that the evolutionary advantage of RNA-based gene regulation derives from the robustness of the RNA structure that makes it easy to combine genetic drift with functional exploration. We describe a model which aims to explain how the evolutionary dynamic of ncRNAs becomes dominated by the accessibility of advantageous mutations to innovate regulation in complex multicellular organisms. The information and models discussed here outline the hypothesis that pervasive ncRNA-based regulatory systems, only capable of being expanded and explored in higher eukaryotes, are prerequisite to complex multicellularity. Thereby, regulatory RNA molecules in Eukarya have allowed intensification of morphological complexity by stabilizing critical phenotypes and controlling developmental precision. Although the origin of RNA on early Earth is still controversial, it is becoming clear that once RNA emerged into a protocellular system, its relevance within the evolution of biological systems has been greater than we previously thought.     

长链非编码RNA作为潜在药物靶点的研究进展

随着生命科学的不断发展,2012年DNA元件百科全书（ENCODE）项目进一步丰富了人类基因组功能元件的相关信息。该项目 发现人类基因组超过80%的序列会被转录,其中大部分转录本是非编码RNA（ncRNA）。目前,在这些非编码RNA中,小RNA的研究 相对深入,而长链非编码RNA（lncRNA）的研究相对较少。越来越多研究表明,很多lncRNA参与到人类重大疾病的发生、发展过程之 中,并且一些动物实验证实lncRNA可作为药物靶点。因此,从lncRNA角度筛选新的药物靶点也越来越受到研究者的关注。重点总结了 lncRNA的生物学功能及作为潜在药物靶点的研究进展。     

RNA interactions in the 5' region of the HIV-1 genome

The untranslated leader of the dimeric HIV-1 RNA genome is folded into a complex structure that plays multiple and essential roles in the viral replication cycle. Here, we have investigated secondary and tertiary structural elements within the 5' 744 nucleotides of the HIV-1 genome using a combination of bioinformatics, enzymatic probing, native gel electrophoresis, and UV-crosslinking experiments. We used a recently developed RNA folding algorithm (Pfold) to predict the common secondary structure of an alignment of 20 divergent HIV-1 sequences. Combining this analysis with biochemical data, we present a secondary structure model for the entire 744 nucleotide fragment, which incorporates previously recognized and novel structural elements. In particular, our data provided strong evidence for a long-distance interaction between the region encompassing the AUG Gag initiation codon and an upstream region and we demonstrate that this feature is highly conserved in distantly related human and animal retroviruses. To obtain information about tertiary interactions we applied an intramolecular UV-crosslinking strategy and identified a novel tertiary interaction within the PBS hairpin structure.     

The fine-scale and complex architecture of human copy-number variation

Despite considerable excitement over the potential functional significance of copy-number variants (CNVs), we still lack knowledge of the fine-scale architecture of the large majority of CNV regions in the human genome. In this study, we used a high-resolution array-based comparative genomic hybridization (aCGH) platform that targeted known CNV regions of the human genome at approximately 1 kb resolution to interrogate the genomic DNAs of 30 individuals from four HapMap populations. Our results revealed that 1020 of 1153 CNV loci (88%) were actually smaller in size than what is recorded in the Database of Genomic Variants based on previously published studies. A reduction in size of more than 50% was observed for 876 CNV regions (76%). We conclude that the total genomic content of currently known common human CNVs is likely smaller than previously thought. In addition, approximately 8% of the CNV regions observed in multiple individuals exhibited genomic architectural complexity in the form of smaller CNVs within larger ones and CNVs with interindividual variation in breakpoints. Future association studies that aim to capture the potential influences of CNVs on disease phenotypes will need to consider how to best ascertain this previously uncharacterized complexity.     

When one is better than two: RNA with dual functions

The central dogma of biology, until not long ago, held that genetic information stored on DNA molecules was translated into the final protein products through RNA as intermediate molecules. Then, an additional level of complexity in the regulation of genome expression was added, implicating new classes of RNA molecules called non-coding RNA (ncRNA). These ncRNA are also often referred to as functional RNA in that, although they do not contain the capacity to encode proteins, do have a function as RNA molecules. They have been thus far considered as truly non-coding RNA since no ORF long enough to be considered, nor protein, have been associated with them. However, the recent identification and characterization of bifunctional RNA, i.e. RNA for which both coding capacity and activity as functional RNA have been reported, suggests that a definite categorization of some RNA molecules is far from being straightforward.Indeed, several RNA primarily classified as non-protein-coding RNA has been showed to hold coding capacities and associated peptides. Conversely, mRNA, usually regarded as strictly protein-coding, may act as functional RNA molecules. Here, we describe several examples of these bifunctional RNA that have been already characterized from bacteria to mammals. We also extend this concept to fortuitous acquisition of dual function in pathological conditions and to the recently highlighted duality between information carried by a gene and its pseudogenes counterparts.     

How much non-coding DNA do eukaryotes require?

Despite tremendous advances in the field of genomics, the amount and function of the large non-coding part of the genome in higher organisms remains poorly understood. Here we report an observation, made for 37 fully sequenced eukaryotic genomes, which indicates that eukaryotes require a certain minimum amount of non-coding DNA (ncDNA). This minimum increases quadratically with the amount of DNA located in exons. Based on a simple model of the growth of regulatory networks, we derive a theoretical prediction of the required quantity of ncDNA and find it to be in excellent agreement with the data. The amount of additional ncDNA (in basepairs) which eukaryotes require obeys N_DEF=1/2 (N_C/N_P) (N_C−N_P), where N_C is the amount of exonic DNA, and N_P is a constant of about 10 Mb. This value N_DEF corresponds to a few percent of the genome in Homo sapiens and other mammals, and up to half the genome in simpler eukaryotes. Thus, our findings confirm that eukaryotic life depends on a substantial fraction of ncDNA and also make a prediction of the size of this fraction, which matches the data closely.     

The new Haemaphysalis longicornis genome provides insights into its requisite biological traits

Ticks are a large group of blood-feeding arthropods that transmit multiple human and animal pathogens and are hence of importance to public health. The tick Haemaphysalis longicornis is associated with the transmission of multiple human pathogens in Asia, and recently found invading to the United States. Here, we report the sequencing, assembly and annotation of the 3.16 gigabase genome of this species, which is larger than the previous assembled one. The present Haemaphysalis longicornis genome was characterized by 6519 scaffolds, 24,189 protein-coding genes and a high proportion of simple sequence repeats (54.72%). By genomic assembly and comparative genomic analysis, we characterized the key genes that play essential roles in iron metabolism, detoxification, and freeze tolerance of H. longicornis. Furthermore, a total of 79 endogenous viral elements were identified within the genome, which might have had a considerable impact on its evolution. Decoding the H. longicornis genome not only provides insight into the genetic underpinnings of specific biological processes but also offers the basis for the subsequent integrated control of ticks and tick-borne diseases.     

A question of size: the eukaryotic proteome and the problems in defining it

We discuss the problems in defining the extent of the proteomes for completely sequenced eukaryotic organisms (i.e. the total number of protein-coding sequences), focusing on yeast, worm, fly and human. (i) Six years after completion of its genome sequence, the true size of the yeast proteome is still not defined. New small genes are still being discovered, and a large number of existing annotations are being called into question, with these questionable ORFs (qORFs) comprising up to one-fifth of the ‘current’ proteome. We discuss these in the context of an ideal genome-annotation strategy that considers the proteome as a rigorously defined subset of all possible coding sequences (‘the orfome’). (ii) Despite the greater apparent complexity of the fly (more cells, more complex physiology, longer lifespan), the nematode worm appears to have more genes. To explain this, we compare the annotated proteomes of worm and fly, relating to both genome-annotation and genome evolution issues. (iii) The unexpectedly small size of the gene complement estimated for the complete human genome provoked much public debate about the nature of biological complexity. However, in the first instance, for the human genome, the relationship between gene number and proteome size is far from simple. We survey the current estimates for the numbers of human genes and, from this, we estimate a range for the size of the human proteome. The determination of this is substantially hampered by the unknown extent of the cohort of pseudogenes (‘dead’ genes), in combination with the prevalence of alternative splicing. (Further information relating to yeast is available at http://genecensus.org/yeast/orfome)     

Lineage-Specific Biology Revealed by a Finished Genome Assembly of the Mouse

The mouse (Mus musculus) is the premier animal model for understanding human disease and development. Here we show that a comprehensive understanding of mouse biology is only possible with the availability of a finished, high-quality genome assembly. The finished clone-based assembly of the mouse strain C57BL/6J reported here has over 175,000 fewer gaps and over 139 Mb more of novel sequence, compared with the earlier MGSCv3 draft genome assembly. In a comprehensive analysis of this revised genome sequence, we are now able to define 20,210 protein-coding genes, over a thousand more than predicted in the human genome (19,042 genes). In addition, we identified 439 long, non–protein-coding RNAs with evidence for transcribed orthologs in human. We analyzed the complex and repetitive landscape of 267 Mb of sequence that was missing or misassembled in the previously published assembly, and we provide insights into the reasons for its resistance to sequencing and assembly by whole-genome shotgun approaches. Duplicated regions within newly assembled sequence tend to be of more recent ancestry than duplicates in the published draft, correcting our initial understanding of recent evolution on the mouse lineage. These duplicates appear to be largely composed of sequence regions containing transposable elements and duplicated protein-coding genes; of these, some may be fixed in the mouse population, but at least 40% of segmentally duplicated sequences are copy number variable even among laboratory mouse strains. Mouse lineage-specific regions contain 3,767 genes drawn mainly from rapidly-changing gene families associated with reproductive functions. The finished mouse genome assembly, therefore, greatly improves our understanding of rodent-specific biology and allows the delineation of ancestral biological functions that are shared with human from derived functions that are not.