Ago2 Immunoprecipitation Identifies Predicted MicroRNAs in Human Embryonic Stem Cells and Neural Precursors

Background

MicroRNAs are required for maintenance of pluripotency as well as differentiation, but since more microRNAs have been computationally predicted in genome than have been found, there are likely to be undiscovered microRNAs expressed early in stem cell differentiation.

Methodology/Principal Findings

SOLiD ultra-deep sequencing identified >10⁷ unique small RNAs from human embryonic stem cells (hESC) and neural-restricted precursors that were fit to a model of microRNA biogenesis to computationally predict 818 new microRNA genes. These predicted genomic loci are associated with chromatin patterns of modified histones that are predictive of regulated gene expression. 146 of the predicted microRNAs were enriched in Ago2-containing complexes along with 609 known microRNAs, demonstrating association with a functional RISC complex. This Ago2 IP-selected subset was consistently expressed in four independent hESC lines and exhibited complex patterns of regulation over development similar to previously-known microRNAs, including pluripotency-specific expression in both hESC and iPS cells. More than 30% of the Ago2 IP-enriched predicted microRNAs are new members of existing families since they share seed sequences with known microRNAs.

Conclusions/Significance

Extending the classic definition of microRNAs, this large number of new microRNA genes, the majority of which are less conserved than their canonical counterparts, likely represent evolutionarily recent regulators of early differentiation. The enrichment in Ago2 containing complexes, the presence of chromatin marks indicative of regulated gene expression, and differential expression over development all support the identification of 146 new microRNAs active during early hESC differentiation.     

p53直接调控microRNA及其靶基因的高通量筛选

通过对676条人microRNA进行筛选,共得到了53条新的具有p53-DNA结合位点且调控p53上游转录因子和下游靶基因的microRNA．结合已有蛋白质互作关系与microRNA调控信息,构建了p53-microRNA相互作用网络图,其中FAS受多条microRNA调控,FAS是介导细胞凋亡的关键因子,因此,FAS-microRNA的相互作用可能在细胞凋亡途径中起着关键的作用．随后,提出了microRNA参与p53调控的假设机制,认为p53调控靶基因与microRNA的同时也受上游转录因子与microRNA的调控,从而形成了以p53为中心的一种平衡,当这种调控平衡一旦被打破则会引起信号通路的紊乱,从而可能引发相应的疾病．对这53条microRNA进行靶基因预测,共得到15 500个靶基因,对这些基因的出现频率进行聚类分析共得到27个簇,将出现频率大于10的基因进行功能注释分析,发现多数基因功能属于近来发现的p53靶基因新的功能分类——细胞粘连和细胞运动,目前研究认为,p53通过与这些具有细胞粘连和运动功能的靶基因结合来抑制肿瘤的迁移．通过对15 500个基因进行功能注释分析,得到了30条感兴趣的参与细胞周期调控、细胞凋亡和细胞增殖的microRNA,其中有9条microRNA于3种生物学进程均有参与,这9条microRNA分别是: hsa-mir-181a-1、hsa-mir-181b-1、hsa-mir-181c、hsa-mir-181d、hsa-mir-195、hsa-mir-497、hsa-mir-495、hsa-mir-543和hsa-mir-548c．这暗示着这9条microRNA在p53信号通路的调节中可能起着关键的作用,它们互相作用共同调节着多个p53信号环路．最后在36个物种的基因组中对这30条microRNA进行了同源性搜索与保守性分析,结果发现有10条高度保守的且为目前数据库所未收录的microRNA．这10条microRNA分别是：hsa-mir-497、hsa-mir-495、hsa-mir-543、hsa-mir-19a、hsa-mir-19b-1、hsa-mir-200b、hsa-mir-448、 hsa-mir-28、hsa-mir-455和hsa-mir-590．     

microRNAs与流感病毒感染

MicroRNAs是一类数目庞大,而且可以广泛参与到生命活动各个进程的非编码RNA分子,在病毒感染宿主过程中存在着复杂的microRNAs与病毒的相互作用。流感病毒感染可以引起宿主microRNAs表达谱的明显变化,流感病毒能通过调控某些microRNAs的表达来实现免疫逃逸等增强其感染能力;同时,宿主也可以通过某些microRNAs的变化启动相应的抗流感病毒反应。本文主要针对流感病毒感染过程中宿主-病毒二者在microRNA水平的相互作用进行综述,以期更好的了解流感病毒的致病机制,为抗流感病毒的新药研制提供新的思路。     

An analysis of human microRNA and disease associations

It has been reported that increasingly microRNAs are associated with diseases. However, the patterns among the microRNA-disease associations remain largely unclear. In this study, in order to dissect the patterns of microRNA-disease associations, we performed a comprehensive analysis to the human microRNA-disease association data, which is manually collected from publications. We built a human microRNA associated disease network. Interestingly, microRNAs tend to show similar or different dysfunctional evidences for the similar or different disease clusters, respectively. A negative correlation between the tissue-specificity of a microRNA and the number of diseases it associated was uncovered. Furthermore, we observed an association between microRNA conservation and disease. Finally, we uncovered that microRNAs associated with the same disease tend to emerge as predefined microRNA groups. These findings can not only provide help in understanding the associations between microRNAs and human diseases but also suggest a new way to identify novel disease-associated microRNAs.     

Serum microRNAs are promising novel biomarkers

Background

Circulating nucleic acids (CNAs) offer unique opportunities for early diagnosis of clinical conditions. Here we show that microRNAs, a family of small non-coding regulatory RNAs involved in human development and pathology, are present in bodily fluids and represent new effective biomarkers.

Methods and Results

After developing protocols for extracting and quantifying microRNAs in serum and other body fluids, the serum microRNA profiles of several healthy individuals were determined and found to be similar, validating the robustness of our methods. To address the possibility that the abundance of specific microRNAs might change during physiological or pathological conditions, serum microRNA levels in pregnant and non pregnant women were compared. In sera from pregnant women, microRNAs associated with human placenta were significantly elevated and their levels correlated with pregnancy stage.

Conclusions and Significance

Considering the central role of microRNAs in development and disease, our results highlight the medically relevant potential of determining microRNA levels in serum and other body fluids. Thus, microRNAs are a new class of CNAs that promise to serve as useful clinical biomarkers.     

MicroRNAs and regenerative medicine

MicroRNAs, identified only relatively recently, are regulators of gene expression with potential medical benefits. The combination of microRNAs and regenerative medicine is an emerging interdisciplinary medical field that can yield exciting new possibilities for clinical medicine. In this paper, we review the prospects of microRNAs as future therapies in regenerative medicine. Recently, researchers have demonstrated the crucial roles of microRNAs, not only in the differentiation and proliferation of stem cells, which have a key function in the regeneration and transplantation of organs, but also in oncogenesis. Several lines of indirect evidence show that the initiation and maintenance of cancer stem cells might also be under the control of microRNAs. Further, microRNAs have been indicated to be involved in diverse biological processes, suggesting the potential role of these molecules in the treatment of diseases.     

循环血中microRNAs作为疾病标志物的研究进展

新近研究发现成熟的microRNA能够游离于细胞之外,稳定存在于循环血中,具备疾病分子生物标志物的某些优点,已在多种肿瘤和非肿瘤疾病的早期诊断和预后中显示了独特的价值,同时循环血中microRNA的功能研究也已开始。该文针对近两年循环血中microRNA标志物及功能研究的成果,对microRNA研究中的这一热点问题进行综述。     

Profiling of microRNAs in exosomes released from PC-3 prostate cancer cells

Exosomes are small extracellular vesicles released to the extracellular milieu through fusion of multivesicular bodies with the plasma membrane. These vesicles contain microRNAs and might therefore be vehicles transferring genetic information between cells. The aim of this study was to investigate whether there was a sorting of microRNAs into exosomes in the prostate cancer cell line PC-3. In addition, microRNAs in PC-3 cells and in the non-cancerous prostate cell line RWPE-1 were compared. Exosomes were isolated from the conditioned media from PC-3 cells by ultracentrifugation and inspected by electron microscopy. Total RNA was isolated and microRNAs were analyzed by microarray analysis and real time RT-PCR. MicroRNA microarray analysis revealed that the microRNA profile of PC-3 released exosomes was similar to the profile of the corresponding parent cells. Nevertheless, a sorting of certain microRNAs into exosomes was observed, and low number microRNAs (microRNAs with a low number in their name) were found to be underrepresented in these vesicles. Moreover, the miRNA profile of PC-3 cells resembled the miRNA profile of RWPE-1 cells, though some miRNAs were found to be differently expressed in these cell lines. These results show that exosomes from PC-3 cells, in agreement with previous reports from other cell types, contain microRNAs. Furthermore, this study supports the idea that there is a sorting of microRNAs into exosomes and adds a new perspective by pointing at the underrepresentation of low number miRNAs in PC-3 released exosomes.     

Riboregulators in kidney development and function

The discovery of microRNAs has brought in another level of intricacy in gene regulation. These microRNAs are small non-coding RNAs that have dual ability to act as repressors or inducers of gene activity. MicroRNAs have been implicated in a wide spectrum of biological processes and their expressions have been found to be dysregulated in several diseases. Recently, microRNAs have emerged as a new area of interest in renal development and pathology. MicroRNA profilings have revealed a number of microRNAs that are specific to the kidney or restricted to certain regions of the organ suggesting possible exclusive roles therein. Recently, knockout studies have shown that these riboregulators are critical for normal renal growth and functional renal system. Individual microRNAs have also been identified in renal disease models including kidney cancers, diabetic nephropathy and polycystic kidney disease. Several mechanisms of modulating microRNA activity have also been introduced in recent years. Further progress in the understanding of microRNA activity, identification of microRNA signatures in different states as well as advancement of microRNA manipulation techniques will be valuable for kidney research.     

MicroRNA Drop in the Bloodstream and MicroRNA Boost in the Tumour Caused by Treatment with Ribonuclease A Leads to an Attenuation of Tumour Malignancy

Novel data showing an important role of microRNAs in mediating tumour progression opened a new field of possible molecular targets for cytotoxic ribonucleases. Recently, antitumour and antimetastatic activities of pancreatic ribonuclease A were demonstrated and here genome-wide profiles of microRNAs in the tumour and blood of mice bearing Lewis lung carcinoma after treatment with RNase A were analysed by high-throughput Sequencing by Oligonucleotide Ligation and Detection (SOLiD™) sequencing technology. Sequencing data showed that RNase A therapy resulted in the boost of 116 microRNAs in tumour tissue and a significant drop of 137 microRNAs in the bloodstream that were confirmed by qPCR. The microRNA boost in the tumour was accompanied by the overexpression of microRNA processing genes: RNASEN (Drosha), xpo5, dicer1, and eif2c2 (Ago2). Ribonuclease activity of RNase A was shown to be crucial for the activation of both microRNA synthesis and expression of the microRNA processing genes. In the tumour tissue, RNase A caused the upregulation of both oncomirs and tumour-suppressor microRNAs, including microRNAs of the let-7 family, known to negatively regulate tumour progression. Our results suggest that the alteration of microRNA signature caused by RNase A treatment leads to the attenuation of tumour malignancy.     

Small RNA Profile in Moso Bamboo Root and Leaf Obtained by High Definition Adapters

Moso bamboo (Phyllostachy heterocycla cv. pubescens L.) is an economically important fast-growing tree. In order to gain better understanding of gene expression regulation in this important species we used next generation sequencing to profile small RNAs in leaf and roots of young seedlings. Since standard kits to produce cDNA of small RNAs are biased for certain small RNAs, we used High Definition adapters that reduce ligation bias. We identified and experimentally validated five new microRNAs and a few other small non-coding RNAs that were not microRNAs. The biological implication of microRNA expression levels and targets of microRNAs are discussed.     

microRNA识别和鉴定方法

microRNA是一类长约22nt的内源非编码小分子RNA,在线虫、果蝇、家鼠、人体及拟南芥等生物中普遍存在,并对其生长发育起着重要的调控作用。目前通过实验和计算机的方法在植物和动物中发现了越来越多的microRNA。通过对识别和鉴定新microRNA的主要方法策略的总结可以为microRNA今后的研究和发展提供一些思路和启发。     

A high-throughput approach for associating MicroRNAs with their activity conditions.

Plant microRNAs (miRNAs) are short RNA sequences that bind to target mRNAs and change their expression levels by redirecting their stabilities and marking them for cleavage. In Arabidopsis thaliana, microRNAs have been shown to regulate development and are believed to impact expression both under various conditions, such as stress and stimuli, as well as in specific tissue types. We present a high throughput approach for associating between microRNAs and conditions in which they act, using novel statistical and algorithmic techniques. Our new tool, miRNAXpress, at first computes a (binary) matrix T denoting the potential targets of microRNAs. Then, using T and an additional predefined matrix X indicating expression of genes under various conditions, it produces a new matrix that predicts associations between microRNAs and the conditions in which they act. Thus, the program comprises two main modules that work in tandem to compute the desired output. The first is an efficient target prediction engine that predicts mRNA targets of query microRNAs by evaluating the optimal duplex that could be formed between the two: given a short query RNA, a long target RNA, and a predefined energy cut-off threshold, the program finds and reports all putative binding sites of the query RNA in the target RNA with hybridization energy bounded by the predefined threshold. The second module realizes an association operation that is computed by a method which relies on an efficient t-test to compute the associations. The calculation of the matrix of microRNAs and their potential targets is the computationally intensive part of the work done by miRNAXpress, and therefore an efficient algorithm for this portion facilitates the entire process. Thus, the target prediction engine is based on an efficient approximate hybridization search algorithm whose efficiency is the result of utilizing the sparsity of the search space without sacrificing the optimality of the results. The time complexity of this algorithm is almost linear in the size of a sparse set of locations where base-pairs are stacked at a height of three or more. Thus miRNAXpress is a novel tool for associating between microRNAs and the conditions in which they act. We employed it to conduct a study, using the plant Arabidopsis thaliana as our model organism. By applying miRNAXpress to 98 microRNAs and 380 conditions, some biologically interesting and statistically strong relations were discovered. For example, mir159C activity is possibly a factor in the misresponse of nph4 mutants to phototropic stimulations.