Detection Of Small RNAs Research Articles

Detection of small RNAs in Bordetella pertussis and identification of a novel repeated genetic element

BackgroundSmall bacterial RNAs (sRNAs) have been shown to participate in the regulation of gene expression and have been identified in numerous prokaryotic species. Some of them are involved in the regulation of virulence in pathogenic bacteria. So far, little is known about sRNAs in Bordetella, and only very few sRNAs have been identified in the genome of Bordetella pertussis, the causative agent of whooping cough.ResultsAn in silico approach was used to predict sRNAs genes in intergenic regions of the B. pertussis genome. The genome sequences of B. pertussis, Bordetella parapertussis, Bordetella bronchiseptica and Bordetella avium were compared using a Blast, and significant hits were analyzed using RNAz. Twenty-three candidate regions were obtained, including regions encoding the already documented 6S RNA, and the GCVT and FMN riboswitches. The existence of sRNAs was verified by Northern blot analyses, and transcripts were detected for 13 out of the 20 additional candidates. These new sRNAs were named Bordetella pertussis RNAs, bpr. The expression of 4 of them differed between the early, exponential and late growth phases, and one of them, bprJ2, was found to be under the control of BvgA/BvgS two-component regulatory system of Bordetella virulence. A phylogenetic study of the bprJ sequence revealed a novel, so far undocumented repeat of ~90 bp, found in numerous copies in the Bordetella genomes and in that of other Betaproteobacteria. This repeat exhibits certain features of mobile elements.ConclusionWe shown here that B. pertussis, like other pathogens, expresses sRNAs, and that the expression of one of them is controlled by the BvgA/BvgS system, similarly to most virulence genes, suggesting that it is involved in virulence of B. pertussis.

RNA sequencing: advances, challenges and opportunities

In the few years since its initial application, massively parallel cDNA sequencing, or RNA-seq, has allowed many advances in the characterization and quantification of transcriptomes. Recently, several developments in RNA-seq methods have provided an even more complete characterization of RNA transcripts. These developments include improvements in transcription start site mapping, strand-specific measurements, gene fusion detection, small RNA characterization and detection of alternative splicing events. Ongoing developments promise further advances in the application of RNA-seq, particularly direct RNA sequencing and approaches that allow RNA quantification from very small amounts of cellular materials.

Correction: sRNAscanner: A Computational Tool for Intergenic Small RNA Detection in Bacterial Genomes

The second author's name was entered incorrectly. The correct name is Narmada Sambaturu. The correct citation is: Sridhar J, Sambaturu N, Sabarinathan R, Ou H-Y, Deng Z, et al. (2010) sRNAscanner: A Computational Tool for Intergenic Small RNA Detection in Bacterial Genomes. PLoS ONE 5(8): e11970. doi:10.1371/journal.pone.0011970

A Rapid Method for Isolation of Low-Molecular-Weight Rna from Arabidopsis Using Low Salt Concentration Buffer

We have developed a rapid extraction method using low salt concentration buffer for the isolation of low-molecular-weight RNA from Arabidopsis tissues. The method was quick and efficient, and the small scale extraction process took no more than 1 hour, while yield and RNA quality were comparable with those of previously reported. The LMW RNA isolated using this method was high quality, abundant in small RNA and free of high molecular weight RNA. This method can be used to extract low-molecular-weight RNA for the purpose of small RNA cloning and detection, and library construction.

SRNAscanner: A Computational Tool for Intergenic Small RNA Detection in Bacterial Genomes

BackgroundBacterial non-coding small RNAs (sRNAs) have attracted considerable attention due to their ubiquitous nature and contribution to numerous cellular processes including survival, adaptation and pathogenesis. Existing computational approaches for identifying bacterial sRNAs demonstrate varying levels of success and there remains considerable room for improvement.Methodology/Principal FindingsHere we have proposed a transcriptional signal-based computational method to identify intergenic sRNA transcriptional units (TUs) in completely sequenced bacterial genomes. Our sRNAscanner tool uses position weight matrices derived from experimentally defined E. coli K-12 MG1655 sRNA promoter and rho-independent terminator signals to identify intergenic sRNA TUs through sliding window based genome scans. Analysis of genomes representative of twelve species suggested that sRNAscanner demonstrated equivalent sensitivity to sRNAPredict2, the best performing bioinformatics tool available presently. However, each algorithm yielded substantial numbers of known and uncharacterized hits that were unique to one or the other tool only. sRNAscanner identified 118 novel putative intergenic sRNA genes in Salmonella enterica Typhimurium LT2, none of which were flagged by sRNAPredict2. Candidate sRNA locations were compared with available deep sequencing libraries derived from Hfq-co-immunoprecipitated RNA purified from a second Typhimurium strain (Sittka et al. (2008) PLoS Genetics 4: e1000163). Sixteen potential novel sRNAs computationally predicted and detected in deep sequencing libraries were selected for experimental validation by Northern analysis using total RNA isolated from bacteria grown under eleven different growth conditions. RNA bands of expected sizes were detected in Northern blots for six of the examined candidates. Furthermore, the 5′-ends of these six Northern-supported sRNA candidates were successfully mapped using 5′-RACE analysis.Conclusions/SignificanceWe have developed, computationally examined and experimentally validated the sRNAscanner algorithm. Data derived from this study has successfully identified six novel S. Typhimurium sRNA genes. In addition, the computational specificity analysis we have undertaken suggests that ∼40% of sRNAscanner hits with high cumulative sum of scores represent genuine, undiscovered sRNA genes. Collectively, these data strongly support the utility of sRNAscanner and offer a glimpse of its potential to reveal large numbers of sRNA genes that have to date defied identification. sRNAscanner is available from: http://bicmku.in:8081/sRNAscanner or http://cluster.physics.iisc.ernet.in/sRNAscanner/.

Hairpin-based virus resistance depends on the sequence similarity between challenge virus and discrete, highly accumulating siRNA species

Virus resistance can be effectively generated in transgenic plants by using the plant’s silencing machinery. To study the specificity of gene-silencing-based resistance, homozygous tobacco (Nicotiana tabacum L.) plants containing a 597-nt hairpin RNA construct of the Potato Virus Y (PVY) replicase sequence were challenged with a variety of PVY strains. The transgene-carrying tobacco line was immune to five potato PVY strains with high sequence similarity (88.3–99.5%) to the transgene. Infection with more distant tomato and pepper PVY field strains (86–86.8% sequence similarity) caused delayed symptom appearance in the transgenic tobacco. Transgene production of small interfering (si) RNA was detected by northern blot and measured using a custom-designed microarray for the detection of small RNAs. siRNA accumulation peaks were observed throughout the inverted-repeat transgene. In the resistance-breaking tomato and pepper strains there were nucleotide differences in the sequences correlated to siRNA transgene accumulation, indicating the role of siRNA specificity in resistance breaking. The log of transgene siRNA signal intensity increased with probe GC content, indicating that the accumulating siRNA molecules were GC-rich. Sequence similarity of highly accumulating siRNAs with the target virus strain appears to be important for both resistance and resistance-breaking characteristics.

Northern blot detection of endogenous small RNAs ( 14 nt) in bacterial total RNA extracts

Here we describe a northern blot procedure that allows the detection of endogenous RNAs as small as ∼14 nt in total RNA extracts from bacteria. RNAs that small and as part of total bacterial RNA extracts usually escape detection by northern blotting. The approach combines LNA probes 5′-digoxigenin-endlabeled for non-radioactive probe detection with 1-ethyl-3-(3-dimethylaminopropyl)-carbodiimide-mediated chemical crosslinking of RNAs to nylon membranes, and necessitates the use of native PAGE either with the TBE or MOPS buffer system.

Comparative genome‐wide analysis of small RNAs of major Gram‐positive pathogens: from identification to application

SummaryIn the recent years, the number of drug‐ and multi‐drug‐resistant microbial strains has increased rapidly. Therefore, the need to identify innovative approaches for development of novel anti‐infectives and new therapeutic targets is of high priority in global health care. The detection of small RNAs (sRNAs) in bacteria has attracted considerable attention as an emerging class of new gene expression regulators. Several experimental technologies to predict sRNA have been established for the Gram‐negative model organism Escherichia coli. In many respects, sRNA screens in this model system have set a blueprint for the global and functional identification of sRNAs for Gram‐positive microbes, but the functional role of sRNAs in colonization and pathogenicity for Listeria monocytogenes, Staphylococcus aureus, Streptococcus pyogenes, Enterococcus faecalis and Clostridium difficile is almost completely unknown. Here, we report the current knowledge about the sRNAs of these socioeconomically relevant Gram‐positive pathogens, overview the state‐of‐the‐art high‐throughput sRNA screening methods and summarize bioinformatics approaches for genome‐wide sRNA identification and target prediction. Finally, we discuss the use of modified peptide nucleic acids (PNAs) as a novel tool to inactivate potential sRNA and their applications in rapid and specific detection of pathogenic bacteria.

The presence of high-molecular-weight viral RNAs interferes with the detection of viral small RNAs

Viral small interfering RNA (siRNA) accumulation in plants is reported to exhibit a strong strand polarity bias, with plus (+) strand siRNAs dominating over minus (-) strand populations. This is of particular interest, as siRNAs processed from double-stranded RNA would be expected to accumulate equivalent amounts of both species. Here, we show that, as reported, (-) strand viral siRNAs are detected at much lower levels than (+) strand-derived species using standard Northern hybridization approaches. However, when total RNA is spiked with in vitro-transcribed antisense viral genomic RNA, (-) strand viral siRNAs are detected at increased levels equivalent to those of (+) strand siRNA. Our results suggest that (+) and (-) strand viral siRNAs accumulate to equivalent levels; however, a proportion of the (-) strand siRNAs are sequestered from the total detectable small RNA population during gel electrophoresis by hybridizing to the high-molecular-weight sense strand viral genomic RNA. Our findings provide a plausible explanation for the observed strand bias of viral siRNA accumulation, and could have wider implications in the analysis of both viral and nonviral small RNA accumulation.

A sensitive non-radioactive northern blot method to detect small RNAs

The continuing discoveries of potentially active small RNAs at an unprecedented rate using high-throughput sequencing have raised the need for methods that can reliably detect and quantitate the expression levels of small RNAs. Currently, northern blot is the most widely used method for validating small RNAs that are identified by methods such as high-throughput sequencing. We describe a new northern blot-based protocol (LED) for small RNA (∼15–40 bases) detection using digoxigenin (DIG)-labeled oligonucleotide probes containing locked nucleic acids (LNA) and 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide for cross-linking the RNA to the membrane. LED generates clearly visible signals for RNA amounts as low as 0.05 fmol. This method requires as little as a few seconds of membrane exposure to outperform the signal intensity using overnight exposure of isotope-based methods, corresponding to ∼1000-fold improvement in exposure-time. In contrast to commonly used radioisotope-based methods, which require freshly prepared and hazardous probes, LED probes can be stored for at least 6 months, facilitate faster and more cost-effective experiments, and are more environmentally friendly. A detailed protocol of LED is provided in the Supplementary Data.

RNA-Dependent RNA Polymerase 6 Delays Accumulation and Precludes Meristem Invasion of a Viroid That Replicates in the Nucleus

The detection of viroid-derived small RNAs (vd-sRNAs) similar to the small interfering RNAs (siRNAs, 21 to 24 nucleotides [nt]) in plants infected by nuclear-replicating members of the family Pospiviroidae (type species, Potato spindle tuber viroid [PSTVd]) indicates that they are inducers and targets of the RNA-silencing machinery of their hosts. RNA-dependent RNA polymerase 6 (RDR6) catalyzes an amplification circuit producing the double-stranded precursors of secondary siRNAs. Recently, the role of RDR6 in restricting systemic spread of certain RNA viruses and precluding their invasion of the apical growing tip has been documented using RDR6-silenced Nicotiana benthamiana (NbRDR6i) plants. Here we show that RDR6 is also engaged in regulating PSTVd levels: accumulation of PSTVd genomic RNA was increased in NbRDR6i plants with respect to the wild-type controls (Nbwt) early in infection, whereas this difference decreased or disappeared in later infection stages. Moreover, in situ hybridization revealed that RDR6 is involved in restricting PSTVd access in floral and vegetative meristems, thus providing firm genetic evidence for an antiviroid RNA silencing mechanism. RNA gel blot hybridization and deep sequencing showed in wt and RDR6i backgrounds that PSTVd sRNAs (i) accumulate to levels paralleling their genomic RNA, (ii) display similar patterns with prevailing 22- or 21-nt plus-strand species, and (iii) adopt strand-specific hot spot profiles along the genomic RNA. Therefore, the surveillance mechanism restraining entry of some RNA viruses into meristems likely also controls PSTVd access in N. benthamiana. Unexpectedly, deep sequencing also disclosed in NbRDR6i plants a profile of RDR6-derived siRNA dominated by 21-nt plus-strand species mapping within a narrow window of the hairpin RNA stem expressed transgenically for silencing RDR6, indicating that minus-strand siRNAs silencing the NbRDR6 mRNA represent a minor fraction of the total siRNA population.

Detection of MicroRNA by Fluorescence Amplification Based on Cation-Exchange in Nanocrystals

Small RNA molecules are effective regulators of gene expression, and the expression signature of one subgroup of small RNA, the microRNA (miRNA), has been linked to disease development and progression. Therefore, detection of small RNA in biological samples will greatly improve the understanding of their functions and render effective tools to researchers for cellular process control and disease prevention. To solve the challenges in detecting the low-abundance and short strand-length of small RNA molecules, we designed a ligation-assisted binding assay and applied the cation exchange-based fluorescence amplification (CXFluoAmp) method developed in our group for detection. Nonfluorescent, ionic nanocrystals (NCs) of CdSe were conjugated to detection probes and immobilized onto the array surface via ligation with the target small RNA, miR21, which bound to the capture probe complimentarily. Each binding event induced by one target miR21 molecule was then amplified by the release of thousands of Cd2+ from one NC. The free Cd2+ immediately turned on the fluorescence of thousands of fluorogenic Rhod-5N molecules. With such a powerful signal amplification strategy, our assay achieved a limit of detection (LOD) of 35 fM and signals were detectable with analyte concentrations spanning over 7 orders of magnitude. We also identified the differential expression of miR21 in total RNA extracts from healthy breast tissue and diseased cells. Furthermore, our detection scheme demonstrated good specificity in small RNA detection, because significant signal intensity could be observed from small RNAs with one or two nucleotides difference in sequences. Thus, our assay has great application potential for disease diagnosis relying on miRNA biomarkers, or in small RNA expression profiling for new target discovery and functional study.

Stand-Alone Rolling Circle Amplification Combined with Capillary Electrophoresis for Specific Detection of Small RNA

Noncoding small RNAs play diverse, important biological roles through gene expression regulation. However, their low expression levels make it difficult to identify new small RNA species and study their functions, calling for the development of detection schemes with higher simplicity, sensitivity, and specificity. Herein, we reported a straightforward assay that combined the stand-alone rolling circle amplification (RCA) with capillary electrophoresis (CE) for specific and sensitive detection of small RNAs in biological samples. In order to enhance the overall reaction efficiency and simplify the procedure, RCA was not preceded with ligation, and a preformed circular probe was employed as the template for the target small RNA-primed isothermal amplification. The long RCA product was digested and analyzed by CE. Two DNA polymerases, the Phi29 and Bst, were compared for their detection performance. Bst is superior in the aspects of specificity, procedure simplicity, and reproducibility, while Phi29 leads to a 5-fold lower detection limit and is able to detect as low as 35 amol of the target small RNA. Coamplification of an internal standard with the target and employment of the RNase A digestion step allow accurate and reproducible quantification of low amounts of small RNA targets spiked into hundreds of nanograms of the plant total RNA extract with a recovery below 110% using either enzyme. Our assay can be adapted to a capillary array system for high-throughput screening of small RNA expression in biological samples. Also, the one-step isothermal process has the potential to conveniently amplify a very limited amount of the RNA samples, e.g., RNA extracted from only a few cells, inside the capillary column or on a microchip.

Characterizing multiple exogenous and endogenous small RNA populations in parallel with subfemtomolar sensitivity using a streptavidin gel-shift assay

Here we present a simple and inexpensive gel-shift assay for the detection and quantification of small RNAs. The assay is at least 5-10 times more sensitive than a conventional Northern, and is highly scalable. Total RNA is first size purified to enrich the desired size range, phosphatase treated, and then radiolabeled to high specific activity using polynucleotide kinase. The resulting RNA stock is then hybridized to an excess of biotinylated DNA probe oligonucleotide, prior to mixing with streptavidin and loading on a native gel. The amount of supershifted material was proportional to the amount of labeled target RNA in the sample. We applied this method to verify sequencing data originally obtained from a four-point comparison study on the effect of endogenous expression of HC-Pro on Y-satellite/cucumber mosaic virus infection in tobacco plants. The results of the streptavidin gel-shift assay were consistent with the concentrations of small RNA infected plants inferred by our original cloning data, and rapidly provided information about the relative concentration of a number of viral and endogenous small RNAs. Further straightforward improvements to this simple methodology might be expected to improve the methods sensitivity by as much as another 10-fold.

Rapid and selective extraction, isolation, preconcentration, and quantitation of small RNAs from cell lysate using on-chip isotachophoresis

We present a technique which enables the separation of small RNAs-such as microRNAs (miRNAs), short interfering RNAs (siRNAs), and Piwi-interacting RNAs (piRNAs)-from >or=66 nucleotide RNAs and other biomolecules contained in a cell lysate. In particular, the method achieves separation of small RNAs from precursor miRNAs (pre-miRNAs) in less than 3 min. We use on-chip isotachophoresis (ITP) for the simultaneous extraction, isolation, preconcentration and quantitation of small RNAs (approximately 22 nucleotides) and employ the high-efficiency sieving matrix Pluronic F-127; a thermo-responsive triblock copolymer which allows convenient microchannel loading at low temperature. We present the isolation of small RNAs from the lysate of 293A human kidney cells, and quantitate the number of short RNA molecules per cell to be 2.9x10(7). We estimate this quantity is an aggregate of roughly 500 types of short RNA molecules per 293A cell. Currently, the minimal cell number for small RNA extraction and detection with our method is approximately 900 (from a 5 microL sample volume), and we believe that small RNA analysis from tens of cells is realizable. Techniques for rapid and sensitive extraction and isolation of small RNAs from cell lysate are much-needed to further uncover their full range and functionality, including RNA interference studies.

Phosphatase PPM1A Regulates Phosphorylation of Thr-186 in the Cdk9 T-loop

Cdk9 is the catalytic subunit of a general RNA polymerase II elongation factor known as positive transcription elongation factor b (P-TEFb). The kinase function of P-TEFb requires phosphorylation of Thr-186 in the T-loop of Cdk9 to allow substrates to access the catalytic core of the enzyme. To identify human phosphatases that dephosphorylate the T-loop of Cdk9, we used a Thr-186-phosphospecific antiserum to screen a phosphatase expression library. Overexpression of PPM1A and the related PPM1B greatly reduced Cdk9 T-loop phosphorylation in vivo. PPM1A and Cdk9 appear to associate in vivo as the proteins could be co-immunoprecipitated. The short hairpin RNA depletion of PPM1A resulted in an increase in Cdk9 T-loop phosphorylation. In phosphatase reactions in vitro, purified PPM1A could dephosphorylate Thr-186 both with and without the association of 7SK RNA, a small nuclear RNA that is bound to approximately 50% of total cellular P-TEFb. PPM1B only efficiently dephosphorylated Cdk9 Thr-186 in vitro when 7SK RNA was depleted from P-TEFb. Taken together, our data indicate that PPM1A and to some extent PPM1B are important negative regulators of P-TEFb function.

Detection of small RNAs in Pseudomonas aeruginosa by RNomics and structure-based bioinformatic tools

Inactivation of the Pseudomonas aeruginosa (PAO1) hfq gene, encoding the Sm-like Hfq protein, resulted in pleiotropic effects that included an attenuated virulence. As regulation by Hfq often involves the action of small regulatory RNAs (sRNAs), we have used a shotgun cloning approach (RNomics) and bioinformatic tools to identify sRNAs in strain PAO1. For cDNA library construction, total RNA was extracted from PAO1 cultures either grown to stationary phase or exposed to human serum. The cDNA libraries were generated from small-sized RNAs of PAO1 after co-immunoprecipitation with Hfq. Of 400 sequenced cDNA clones, 11 mapped to intergenic regions. Band-shift assays and Northern blot analyses performed with two selected sRNAs confirmed that Hfq binds to and affects the steady-state levels of these RNAs. A proteome study performed upon overproduction of one sRNA, PhrS, implicated it in riboregulation. PhrS contains an ORF, and evidence for its translation is presented. In addition, based on surveys with structure-based bioinformatic tools, we provide an electronic compilation of putative sRNA and non-coding RNA genes of PAO1 based on their evolutionarily conserved structure.

Improved northern blot method for enhanced detection of small RNA

This protocol describes an improved northern blot method that enhances detection of small RNA molecules (<40 nt) including regulatory species such as microRNA (miRNA), short-interfering RNA (siRNA) and Piwi-interacting RNA. Northern blot analysis involves the separation of RNA molecules by denaturing gel electrophoresis followed by transfer and cross-linking of the separated molecules to nylon membrane. RNA of interest is then detected by hybridization with labeled complementary nucleic acid probes. We have replaced conventional UV-cross-linking of RNA to nylon membranes with a novel, 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC)-mediated, chemical cross-linking step that enhances detection of small RNA by up to 50-fold. This requires no specialized equipment, is relatively inexpensive and is technically straightforward. Northern blotting can be done in 2 d, but detection of a specific RNA can vary from minutes to days. Although chemical cross-linking takes longer (15 min to 2 h) than UV cross-linking, improved sensitivity means shorter periods of exposure are required to detect signal after hybridization.

MiR-Q: a novel quantitative RT-PCR approach for the expression profiling of small RNA molecules such as miRNAs in a complex sample

BackgroundMicroRNAs (miRNAs) are small endogenous non-coding interfering RNA molecules regarded as major regulators in eukaryotic gene expression. Different methods are employed for miRNA expression profiling. For a better understanding of their role in essential biological processes, convenient methods for differential miRNA expression analysis are required.ResultsHere, we present the miR-Q assay as a highly sensitive quantitative reverse transcription PCR (qRT-PCR) for expression analysis of small RNAs such as miRNA molecules. It shows a high dynamic range of 6 to 8 orders of magnitude comprising a sensitivity of up to 0.2 fM miRNA, which corresponds to single copies per cell. There is nearly no cross reaction among closely-related miRNA family members, which points to the high specificity of the assays. Using this approach, we quantified the expression of let-7b in different human cell lines as well as miR-145 and miR-21 expression in porcine intestinal samples.ConclusionmiR-Q is a cost-effective and highly specific approach, which neither requires the use of fluorochromic probes, nor Locked Nucleic Acid (LNA)-modified oligonucleotides. Moreover, it provides a remarkable increase in specificity and simplified detection of small RNAs.

Aedes aegyptiuses RNA interference in defense against Sindbis virus infection

BackgroundRNA interference (RNAi) is an important anti-viral defense mechanism. The Aedes aegypti genome encodes RNAi component orthologs, however, most populations of this mosquito are readily infected by, and subsequently transmit flaviviruses and alphaviruses. The goal of this study was to use Ae. aegypti as a model system to determine how the mosquito's anti-viral RNAi pathway interacts with recombinant Sindbis virus (SINV; family Togaviridae, genus Alphavirus).ResultsSINV (TR339-eGFP) (+) strand RNA, infectious virus titers and infection rates transiently increased in mosquitoes following dsRNA injection to cognate Ago2, Dcr2, or TSN mRNAs. Detection of SINV RNA-derived small RNAs at 2 and 7 days post-infection in non-silenced mosquitoes provided important confirmation of RNAi pathway activity. Two different recombinant SINV viruses (MRE16-eGFP and TR339-eGFP) with significant differences in infection kinetics were used to delineate vector/virus interactions in the midgut. We show virus-dependent effects on RNAi component transcript and protein levels during infection. Monitoring midgut Ago2, Dcr2, and TSN transcript levels during infection revealed that only TSN transcripts were significantly increased in midguts over blood-fed controls. Ago2 protein levels were depleted immediately following a non-infectious bloodmeal and varied during SINV infection in a virus-dependent manner.ConclusionWe show that silencing RNAi components in Ae. aegypti results in transient increases in SINV replication. Furthermore, Ae. aegypti RNAi is active during SINV infection as indicated by production of virus-specific siRNAs. Lastly, the RNAi response varies in a virus-dependent manner. These data define important features of RNAi anti-viral defense in Ae. aegypti.