Small RNA Research Research Articles

SRNAminer, a swiss army knife in small RNA research.

sRNAminer, a swiss army knife in small RNA research.

A highly sensitive biotin-based probe for small RNA northern blot and its application in dissecting miRNA function in pepper.

Small RNAs play important roles in regulation of plant development and response to various stresses. Northern blot is an important technique in small RNA research. Isotope- and biotin- (or digoxigenin) labeled probes are frequently used in small RNA northern blot. However, isotope-based probe is limited by strict environmental regulation and availability in many places in the world while biotin-based probe is usually suffered from low sensitivity. In this study, we developed a T4 DNA polymerase-based method for incorporation of a cluster of 33 biotin-labeled C in small RNA probe (T4BC33 probe). T4BC33 probe reaches similar sensitivity as 32P-labeled probe in dot blot and small RNA northern blot experiments. Addition of locked nucleic acids in T4BC33 probe further enhanced its sensitivity in detecting low-abundance miRNAs. With newly developed northern blot method, expression of miR6027 and miR6149 family members was validated. Northern blot analysis also confirmed the successful application of virus-based miRNA silencing in pepper, knocking down accumulation of Can-miR6027a and Can-miR6149L. Importantly, further analysis showed that knocking-down Can-miR6027a led to upregulation of a nucleotide binding-leucine rich repeat domain protein coding gene (CaRLb1) and increased immunity against Phytophthora capsici in pepper leaves. Our study provided a highly sensitive and convenient method for sRNA research and identified new targets for genetic improvement of pepper immunity against P. capsici.

Small RNA structural biochemistry in a post-sequencing era.

High-throughput sequencing has had an enormous impact on small RNA research during the past decade. However, sequencing only offers a one-dimensional view of the transcriptome and is often highly biased. Additionally, the 'sequence, map and annotate' approach, used widely in small RNA research, can lead to flawed interpretations of the data, lacking biological plausibility, due in part to database issues. Even in the absence of technical biases, the loss of three-dimensional information is a major limitation to understanding RNA stability, turnover and function. For example, noncoding RNA-derived fragments seem to exist mainly as dimers, tetramers or as nicked forms of their parental RNAs, contrary to widespread assumptions. In this perspective, we will discuss main sources of bias during small RNA-sequencing, present several useful bias-reducing strategies and provide guidance on the interpretation of small RNA-sequencing results, with emphasis on RNA fragmentomics. As sequencing offers a one-dimensional projection of a four-dimensional reality, prior structure-level knowledge is often needed to make sense of the data. Consequently, while less-biased sequencing methods are welcomed, integration of orthologous experimental techniques is also strongly recommended.

SRNAfrag: a pipeline and suite of tools to analyze fragmentation in small RNA sequencing data.

Fragments derived from small RNAs such as small nucleolar RNAs are biologically relevant but remain poorly understood. To address this gap, we developed sRNAfrag, a modular and interoperable tool designed to standardize the quantification and analysis of small RNA fragmentation across various biotypes. The tool outputs a set of tables forming a relational database, allowing for an in-depth exploration of biologically complex events such as multi-mapping and RNA fragment stability across different cell types. In a benchmark test, sRNAfrag was able to identify established loci of mature microRNAs solely based on sequencing data. Furthermore, the 5' seed sequence could be rediscovered by utilizing a visualization approach primarily applied in multi-sequence-alignments. Utilizing the relational database outputs, we detected 1411 snoRNA fragment conservation events between two out of four eukaryotic species, providing an opportunity to explore motifs through evolutionary time and conserved fragmentation patterns. Additionally, the tool's interoperability with other bioinformatics tools like ViennaRNA amplifies its utility for customized analyses. We also introduce a novel loci-level variance-score which provides insights into the noise around peaks and demonstrates biological relevance by distinctly separating breast cancer and neuroblastoma cell lines after dimension reduction when applied to small nucleolar RNAs. Overall, sRNAfrag serves as a versatile foundation for advancing our understanding of small RNA fragments and offers a functional foundation to further small RNA research. Availability: https://github.com/kenminsoo/sRNAfrag.

SRNAbench and sRNAtoolbox 2022 update: accurate miRNA and sncRNA profiling for model and non-model organisms.

The NCBI Sequence Read Archive currently hosts microRNA sequencing data for over 800 different species, evidencing the existence of a broad taxonomic distribution in the field of small RNA research. Simultaneously, the number of samples per miRNA-seq study continues to increase resulting in a vast amount of data that requires accurate, fast and user-friendly analysis methods. Since the previous release of sRNAtoolbox in 2019, 55 000 sRNAbench jobs have been submitted which has motivated many improvements in its usability and the scope of the underlying annotation database. With this update, users can upload an unlimited number of samples or import them from Google Drive, Dropbox or URLs. Micro- and small RNA profiling can now be carried out using high-confidence Metazoan and plant specific databases, MirGeneDB and PmiREN respectively, together with genome assemblies and libraries from 441 Ensembl species. The new results page includes straightforward sample annotation to allow downstream differential expression analysis with sRNAde. Unassigned reads can also be explored by means of a new tool that performs mapping to microbial references, which can reveal contamination events or biologically meaningful findings as we describe in the example. sRNAtoolbox is available at: https://arn.ugr.es/srnatoolbox/.

Small RNA research and the scientific repertoire: a tale about biochemistry and genetics, crops and worms, development and disease.

The discovery of RNA interference in 1998 has made a lasting impact on biological research. Identifying the regulatory role of small RNAs changed the modes of molecular biological inquiry as well as biologists' understanding of genetic regulation. This article examines the early years of small RNA biology's success story. I query which factors had to come together so that small RNA research came into life in the blink of an eye. I primarily look at scientific repertoires as facilitators of rapid scientific change. I show that for a short period of time, between the years 1998 and 2002, different model organism communities, investigative strategies, technological innovations, and research interests could be successfully aligned to take small RNA research off the ground. I discuss how the keystone discoveries were situated in specific experimental traditions and what strategies were employed to establish these discoveries as more general phenomena. Providing thus a practice-based approach of rapid scientific change, I ask how to relate the change in propositional bits of scientific knowledge with changes in scientific practice.

Salient Genetic Notes on Small-RNAs and their Applications in Agricultural Biotechnology

Small-RNAs are 20 to 27 nucleotides long non-protein-coding RNAs that act on either DNA or RNA to effect the regulation of gene expression. Small-RNAs are key in genetic and epigenetic regulation of diverse biological processes and pathways in response to biotic and abiotic environmental stresses. The gene regulatory functions of small-RNA molecules enhance healthy plant growth and normal development by controlling biological processes such as flowering programming, fruit development, disease and pests resistance. Small-RNAs comprise mainly microRNA and small interfering RNA species. MicroRNAs have been proven to primarily engage in posttranscriptional gene regulation while small interfering RNA have been implicated mainly in transcriptional gene regulation. This review covers the recent advancements in small-RNA research in plants, with emphasis on particularly microRNAs and small interfering RNA biogenesis, biological functions and their relevance in the regulation of traits of agronomic importance in plants. Also discussed extensively is the potential biotechnological applications of these small-RNAs for crop improvement.

Small RNAs With a Big Impact on Horticultural Traits

The role of protein-encoding genes in determining phenotype is well established, whereas the impact of small RNAs in regulating horticultural traits is being gradually recognized. Small RNAs are small noncoding RNAs of 20–24-nt, which regulate target genes by post-transcriptional regulation or de-novo DNA methylation. In plants, small RNAs are classified into the following two major categories, microRNA (miRNA) and short interfering RNA (siRNA). Most small RNA research focuses on model plants (e.g. Arabidopsis, tomato and rice), and has identified the function of small RNAs on plant development (e.g. meristem organization, leaf development, flower organ identity and transition to flowering). Recently, small RNA sequencing has been applied to study gene regulation in horticultural crops. Plant specific small RNA (miRNAs and phasiRNAs) families have similar function across model plants to horticultural crops. In addition, most plants have unique nonconserved small RNAs, which might affect specific traits. This review focuses on small RNA biogenesis, function prediction and the roles of small RNAs in horticultural traits (e.g. flowering, fruit quality, abiotic and biotic stress), and summarizes small RNA information for future horticultural crop research and breeding.

Exchange of Small Regulatory RNAs between Plants and Their Pests.

Regulatory small RNAs are well known as antiviral agents, regulators of gene expression, and defenders of genome integrity in plants. Several studies over the last decade have also shown that some small RNAs are exchanged between plants and their pathogens and parasites. Naturally occurring trans-species small RNAs are used by host plants to silence mRNAs in pathogens. These gene-silencing events are thought to be detrimental to the pathogen and beneficial to the host. Conversely, trans-species small RNAs from pathogens and parasites are deployed to silence host mRNAs; these events are thought to be beneficial for the pests. The natural ability of plants to exchange small RNAs with invading eukaryotic organisms can be exploited to provide disease resistance. This review gives an overview of the current state of trans-species small RNA research in plants and discusses several outstanding questions for future research.

PIWI-interacting RNA 39980 promotes tumor progression and reduces drug sensitivity in neuroblastoma cells.

Neuroblastoma (NB) is the leading pediatric cancer known for its heterogeneity and clinical aggressiveness leading to chemoresistance. Recent evidence in small RNA research has led to the discovery of PIWI-interacting RNAs (piRNAs) which work in an orchestrated fashion to modulate gene expression both in homeostatic conditions and abnormalities like cancer including NB. This study aims to decipher the possible role of a repeat-derived piRNA, piR-39980 (identified from our previous piRNA profiling study in human NB cell lines) in tumorigenesis of NB cells. piR-39980, overexpressed in NB cells act as an oncopiR and promotes tumor progression, while its inhibition resulted in reduced viability, invasion as well as the migration of IMR-32 cells. Interestingly, we observed that inhibition of piRNA induces senescence of NB cells without affecting the classical apoptosis pathway by modulating the expression of JAK3 through target binding. In addition, piR-39980 was found to desensitize the effect of doxorubicin and inhibit drug-induced apoptosis. Overall, we report piR-39980, as the first oncopiR which might serve as a novel therapeutic target for this malignancy.

SRNAbench and sRNAtoolbox 2019: intuitive fast small RNA profiling and differential expression.

Since the original publication of sRNAtoolbox in 2015, small RNA research experienced notable advances in different directions. New protocols for small RNA sequencing have become available to address important issues such as adapter ligation bias, PCR amplification artefacts or to include internal controls such as spike-in sequences. New microRNA reference databases were developed with different foci, either prioritizing accuracy (low number of false positives) or completeness (low number of false negatives). Additionally, other small RNA molecules as well as microRNA sequence and length variants (isomiRs) have continued to gain importance. Finally, the number of microRNA sequencing studies deposited in GEO nearly triplicated from 2014 (280) to 2018 (764). These developments imply that fast and easy-to-use tools for expression profiling and subsequent downstream analysis of miRNA-seq data are essential to many researchers. Key features in this sRNAtoolbox release include addition of all major RNA library preparation protocols to sRNAbench and improvements in sRNAde, a tool that summarizes several aspects of small RNA sequencing studies including the detection of consensus differential expression. A special emphasis was put on the user-friendliness of the tools, for instance sRNAbench now supports parallel launching of several jobs to improve reproducibility and user time efficiency.

Identification and Characterization of miRNAs in Chondrus crispus by High-Throughput Sequencing and Bioinformatics Analysis.

Chondrus crispus, an economically and medicinally important red alga, is a medicinally active substance and important for anti-tumor research. In this study, 117 C. crispus miRNAs (108 conserved and 9 novel) were identified from 2,416,181 small-RNA reads using high-throughput sequencing and bioinformatics methods. According to the BLAST search against the miRBase database, these miRNAs belonged to 110 miRNA families. Sequence alignment combined with homology searching revealed both the conservation and diversity of predicted potential miRNA families in different plant species. Four and 19 randomly selected miRNAs were validated by northern blotting and stem-loop quantitative real-time reverse transcription polymerase chain reaction detection, respectively. The validation rates (75% and 94.7%) demonstrated that most of the identified miRNAs could be credible. A total of 160 potential target genes were predicted and functionally annotated by Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes analysis. We also analyzed the interrelationship of miRNAs, miRNA-target genes and target genes in C. crispus by constructing a Cytoscape network. The 117 miRNAs identified in our study should supply large quantities of information that will be important for red algae small RNA research.

SRNAtoolbox: an integrated collection of small RNA research tools.

Small RNA research is a rapidly growing field. Apart from microRNAs, which are important regulators of gene expression, other types of functional small RNA molecules have been reported in animals and plants. MicroRNAs are important in host-microbe interactions and parasite microRNAs might modulate the innate immunity of the host. Furthermore, small RNAs can be detected in bodily fluids making them attractive non-invasive biomarker candidates. Given the general broad interest in small RNAs, and in particular microRNAs, a large number of bioinformatics aided analysis types are needed by the scientific community. To facilitate integrated sRNA research, we developed sRNAtoolbox, a set of independent but interconnected tools for expression profiling from high-throughput sequencing data, consensus differential expression, target gene prediction, visual exploration in a genome context as a function of read length, gene list analysis and blast search of unmapped reads. All tools can be used independently or for the exploration and downstream analysis of sRNAbench results. Workflows like the prediction of consensus target genes of parasite microRNAs in the host followed by the detection of enriched pathways can be easily established. The web-interface interconnecting all these tools is available at http://bioinfo5.ugr.es/srnatoolbox

MiR-371-373 cluster acts as a tumor-suppressor-miR and promotes cell cycle arrest in unrestricted somatic stem cells.

Recent advances in small RNA research have implicated microRNAs (miRNAs) as important regulators of proliferation and development. The miR-371-373 cluster is prominently expressed in human embryonic stem cells (ESCs) and rapidly decreases after cell differentiation. MiR-371-373 cluster was investigated as one of the key factors of stem cell maintenance and pluripotency in unrestricted somatic stem cells (USSCs) using a lentivirus system. Gene expression showed a dual effect on proliferation, which revealed a transient cell cycle progression and consequent repression in pluripotency factors and cell cycle genes. Cell proliferation analysis with CFU, MTT, and DNA content assays further confirmed the dual effect of cluster after prolonged exposure. Analyzing the course of action, it seems that miR-371-373 cluster acts as an onco/tumor suppressor-miR. MiR371-373 cluster acts by modulating the function of these factors and limiting the excessive cell cycle propagation upon oncogenic stimuli to protect cells from replicative stress, but also activate CDK inhibitors and transcriptional repressors of the retinoblastoma family to cause cell cycle arrest. In contrast to the previous studies, we believe that miR-371-373 cluster functions as a self-renewal miRNA to induce and maintain the pluripotent state but also to potentially inhibit dysregulated proliferation through cell cycle arrest. It seems that miR-371-373 cluster presents with a dual effect in this cellular context which may possess different actions in various cells. This not only expands the basic knowledge of the cluster but may offer a great chance for therapeutic interventions.

Common applications of next-generation sequencing technologies in genomic research

Next-generation sequencing (NGS) technologies have progressive advantages in terms of cost-effectiveness, unprecedented sequencing speed, high resolution and accuracy in genomic analyses. To date, these high-throughput sequencing technologies have been comprehensively applied in a variety of ways, such as whole genome sequencing, target sequencing, gene expression profiling, chromatin immunoprecipitation sequencing, and small RNA sequencing, to accelerate biological and biomedical research. However, the massive amount of data generated by NGS represents a great challenge. This article discusses the available applications of NGS technologies, presents guidelines for data processing pipelines, and makes suggestions for selecting suitable tools in genomics, transcriptomics and small RNA research.

Small RNA-mediated gene silencing pathways in C. elegans

Small RNA pathways, including the RNA interference (RNAi) pathway and the microRNA (miRNA) pathway, regulate gene expression, defend against transposable elements and viruses, and, in some organisms, guide genome rearrangements. The nematode Caenorhabditis elegans ( C. elegans) has been at the forefront of small RNA research; not only were the first miRNAs and their function as regulators of gene expression discovered in C. elegans, but also double-stranded RNA-induced gene silencing by RNAi was discovered in this model organism. Since then, genetic and RNAi-mediated screens, candidate gene approaches, and biochemical studies have uncovered numerous factors in the small RNA pathways and painted a rich palette of interacting pathways. Here we review the different small RNAs that have been discovered in C. elegans and discuss our understanding of their biogenesis pathways and mechanisms of action.