Online Nucleotide Mapping of mRNAs.

Messenger RNA (mRNA) can be sequenced via indirect approaches such as Sanger sequencing and next generation sequencing (NGS), or direct approaches like bottom-up mass spectrometry (MS). Direct sequencing allows the confirmation of RNA modifications. However, the conventional bottom-up MS approach involves time-consuming in-solution digestions that require a large amount of sample, and can lead to the RNase contamination of the LC-MS system and column. Here, we describe a platform that enables online nucleotide mapping of mRNAs via the use of immobilized RNase cartridges and 2D-LC-MS instrumentation. The online approach was compared to conventional offline digestion protocols adapted from two published studies. For this purpose, five model mRNAs of varying lengths (996-4521 nucleotides) and chemistries (unmodified uridine vs 5-methoxyuridine (5moU)) were analyzed. The profiles and sequence coverages obtained after RNase T1 digestion were discussed. The online nucleotide mapping achieved comparable or slightly greater sequence coverage for the 5 mRNAs (5.8-51.5%) in comparison to offline approaches (3.7-50.4%). The sequence coverage was increased to 65.6-85.6 and 69.7-85.0% when accounting for the presence of nonunique digestion products generated by the RNase T1 and A, respectively. The online nucleotide mapping significantly reduced the digestion time (from 15 to <5 min), increased the signal intensity by more than 10-fold in comparison to offline approaches.

MirLocPredictor: A ConvNet-Based Multi-Label MicroRNA Subcellular Localization Predictor by Incorporating k-Mer Positional Information.

MicroRNAs (miRNA) are small noncoding RNA sequences consisting of about 22 nucleotides that are involved in the regulation of almost 60% of mammalian genes. Presently, there are very limited approaches for the visualization of miRNA locations present inside cells to support the elucidation of pathways and mechanisms behind miRNA function, transport, and biogenesis. MIRLocator, a state-of-the-art tool for the prediction of subcellular localization of miRNAs makes use of a sequence-to-sequence model along with pretrained k-mer embeddings. Existing pretrained k-mer embedding generation methodologies focus on the extraction of semantics of k-mers. However, in RNA sequences, positional information of nucleotides is more important because distinct positions of the four nucleotides define the function of an RNA molecule. Considering the importance of the nucleotide position, we propose a novel approach (kmerPR2vec) which is a fusion of positional information of k-mers with randomly initialized neural k-mer embeddings. In contrast to existing k-mer-based representation, the proposed kmerPR2vec representation is much more rich in terms of semantic information and has more discriminative power. Using novel kmerPR2vec representation, we further present an end-to-end system (MirLocPredictor) which couples the discriminative power of kmerPR2vec with Convolutional Neural Networks (CNNs) for miRNA subcellular location prediction. The effectiveness of the proposed kmerPR2vec approach is evaluated with deep learning-based topologies (i.e., Convolutional Neural Networks (CNN) and Recurrent Neural Network (RNN)) and by using 9 different evaluation measures. Analysis of the results reveals that MirLocPredictor outperform state-of-the-art methods with a significant margin of 18% and 19% in terms of precision and recall.

Mapping of Posttranscriptional tRNA Modifications by Two-Dimensional Gel Electrophoresis Mass Spectrometry.

RNA modification mapping by mass spectrometry (MS) is based on the use of specific ribonucleases (RNases) that generate short oligonucleotide digestion products which are further separated by nano-liquid chromatography and analyzed by MS and MS/MS. Recent developments in MS instrumentation allow the possibility to deeply explore posttranscriptional modifications. Notably, development of nano-liquid chromatography and nano-electrospray drastically increases the detection sensitivity and allows the identification and sequencing of RNA digested fragments separated and extracted from two-dimensional polyacrylamide gels, as long as the mapping and characterization of ribonucleotide modifications.

Restriction enzymes and their use in molecular biology: An overview.

Restriction enzymes have been identified in the early 1950s of the past century and have quickly become key players in the molecular biology of DNA. Forty years ago, the scientists whose pioneering work had explored the activity and sequence specificity of these enzymes, contributing to the definition of their enormous potential as tools for DNA characterization, mapping and manipulation, were awarded the Nobel Prize. In this short review, we celebrate the history of these enzymes in the light of their many different uses, as these proteins have accompanied the history of DNA for over 50 years representing active witnesses of major steps in the field.

A colorimetric strategy based on dynamic chemistry for direct detection of Trypanosomatid species.

Leishmaniasis and Chagas disease are endemic in many countries, and re-emerging in the developed countries. A rapid and accurate diagnosis is important for early treatment for reducing the duration of infection as well as for preventing further potential health complications. In this work, we have developed a novel colorimetric molecular assay that integrates nucleic acid analysis by dynamic chemistry (ChemNAT) with reverse dot-blot hybridization in an array format for a rapid and easy discrimination of Leishmania major and Trypanosoma cruzi. The assay consists of a singleplex PCR step that amplifies a highly homologous DNA sequence which encodes for the RNA component of the large ribosome subunit. The amplicons of the two different parasites differ between them by single nucleotide variations, known as "Single Nucleotide Fingerprint" (SNF) markers. The SNF markers can be easily identified by naked eye using a novel micro Spin-Tube device "Spin-Tube", as each of them creates a specific spot pattern. Moreover, the direct use of ribosomal RNA without requiring the PCR pre-amplification step is also feasible, further increasing the simplicity of the assay. The molecular assay delivers sensitivity capable of identifying up to 8.7 copies per µL with single mismatch specificity. The Spin-Tube thus represents an innovative solution providing benefits in terms of time, cost, and simplicity, all of which are crucial for the diagnosis of infectious disease in developing countries.

Protein and RNA dynamical fingerprinting.

Protein structural vibrations impact biology by steering the structure to functional intermediate states; enhancing tunneling events; and optimizing energy transfer. Strong water absorption and a broad continuous vibrational density of states have prevented optical identification of these vibrations. Recently spectroscopic signatures that change with functional state were measured using anisotropic terahertz microscopy. The technique however has complex sample positioning requirements and long measurement times, limiting access for the biomolecular community. Here we demonstrate that a simplified system increases spectroscopic structure to dynamically fingerprint biomacromolecules with a factor of 6 reduction in data acquisition time. Using this technique, polarization varying anisotropy terahertz microscopy, we show sensitivity to inhibitor binding and unique vibrational spectra for several proteins and an RNA G-quadruplex. The technique's sensitivity to anisotropic absorbance and birefringence provides rapid assessment of macromolecular dynamics that impact biology.

Functional transcription factor target discovery via compendia of binding and expression profiles.

Genome-wide experiments to map the DNA-binding locations of transcription-associated factors (TFs) have shown that the number of genes bound by a TF far exceeds the number of possible direct target genes. Distinguishing functional from non-functional binding is therefore a major challenge in the study of transcriptional regulation. We hypothesized that functional targets can be discovered by correlating binding and expression profiles across multiple experimental conditions. To test this hypothesis, we obtained ChIP-seq and RNA-seq data from matching cell types from the human ENCODE resource, considered promoter-proximal and distal cumulative regulatory models to map binding sites to genes, and used a combination of linear and non-linear measures to correlate binding and expression data. We found that a high degree of correlation between a gene's TF-binding and expression profiles was significantly more predictive of the gene being differentially expressed upon knockdown of that TF, compared to using binding sites in the cell type of interest only. Remarkably, TF targets predicted from correlation across a compendium of cell types were also predictive of functional targets in other cell types. Finally, correlation across a time course of ChIP-seq and RNA-seq experiments was also predictive of functional TF targets in that tissue.

Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome.

N(6)-methyladenosine (m6A) is the most abundant modified base in eukaryotic mRNA and has been linked to diverse effects on mRNA fate. Current mapping approaches localize m6A residues to transcript regions 100-200 nt long but cannot identify precise m6A positions on a transcriptome-wide level. Here we developed m6A individual-nucleotide-resolution cross-linking and immunoprecipitation (miCLIP) and used it to demonstrate that antibodies to m6A can induce specific mutational signatures at m6A residues after ultraviolet light-induced antibody-RNA cross-linking and reverse transcription. We found that these antibodies similarly induced mutational signatures at N(6),2'-O-dimethyladenosine (m6Am), a modification found at the first nucleotide of certain mRNAs. Using these signatures, we mapped m6A and m6Am at single-nucleotide resolution in human and mouse mRNA and identified small nucleolar RNAs (snoRNAs) as a new class of m6A-containing non-coding RNAs (ncRNAs).

Nucleotide analog interference mapping.

Methods collectively known as modification interference are exceptionally powerful approaches used to identify functionally important chemical groups in the phosphodiester backbone or nucleobases of an RNA. In a modification interference assay, end-labeled RNAs that have been modified at different positions are allowed to participate in a reaction of interest, and then functional RNA molecules (e.g., those bound by protein or that successfully participate in a processing reaction) are separated from nonfunctional RNA molecules (e.g., those not bound by protein or unable to participate in a processing reaction). Nucleotide analog interference mapping (NAIM) involves the incorporation of α-thionucleotides containing a modified base into the RNA molecule of interest. The sites containing the modified base are identified by cleavage with iodoethanol. NAIM is useful whenever the thiophosphate substitution on its own does not prevent or inhibit a specific reaction. To perform NAIM, it is first necessary to perform a thiophosphate interference analysis. Any positions that are not affected by thiophosphate substitution can then be analyzed by NAIM.

Combined use of a new SNP-based assay and multilocus SSR markers to assess genetic diversity of Xylella fastidiosa subsp. pauca infecting citrus and coffee plants

Two haplotypes of Xylella fastidiosa subsp. pauca (Xfp) that correlated with their host of origin were identified in a collection of 90 isolates infecting citrus and coffee plants in Brazil, based on a single-nucleotide polymorphism in the gyrB sequence. A new single-nucleotide primer extension (SNuPE) protocol was designed for rapid identification of Xfp according to the host source. The protocol proved to be robust for the prediction of the Xfp host source in blind tests using DNA from cultures of the bacterium, infected plants, and insect vectors allowed to feed on Xfp-infected citrus plants. AMOVA and STRUCTURE analyses of microsatellite data separated most Xfp populations on the basis of their host source, indicating that they were genetically distinct. The combined use of the SNaPshot protocol and three previously developed multilocus SSR markers showed that two haplotypes and distinct isolates of Xfp infect citrus and coffee in Brazil and that multiple, genetically different isolates can be present in a single orchard or infect a single tree. This combined approach will be very useful in studies of the epidemiology of Xfp-induced diseases, host specificity of bacterial genotypes, the occurrence of Xfp host jumping, vector feeding habits, etc., in economically important cultivated plants or weed host reservoirs of Xfp in Brazil and elsewhere (AU)

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Single nucleotide mapping of RNA 5' and 3' ends.

Nuclease protection assay is a sensitive method for detection, quantitation, and mapping of a specific RNA in an extremely heterogeneous mixture of RNAs, such as total cellular RNA. The assay is based on a small volume solution hybridization of a single-stranded synthetic antisense and labeled RNA probe to a RNA sample. Thus, it is much more efficient than the common immobilized hybridization on a membrane, such as in northern-blot analysis. After solution hybridization, different nucleases are used to remove any remaining single-stranded nucleotides within the probe and sample RNA by digestion. Then, the remaining probe-target hybrids are purified and separated on a denaturing polyacrylamide gel. Using a radioactive labeled probe, the protected probe can be visualized by direct autoradiography and the copy number can be calculated based on the specific radioactivity of the RNA probe and the length of protected fragment. Because of its high sensitivity and resolution, nuclease protection assay is the most effective procedure for mapping internal and external boundaries in mRNA compared to other RNA detection methods such as RT-PCR.

Cyclic nucleotide mapping of hyperpolarization-activated cyclic nucleotide-gated (HCN) channels.

Hyperpolarization-activated cyclic nucleotide-gated (HCN) channels play a central role in the regulation of cardiac and neuronal firing rate, and these channels can be dually activated by membrane hyperpolarization and by binding of cyclic nucleotides. cAMP has been shown to directly bind HCN channels and modulate their activity. Despite this, while there are selective inhibitors that block the activation potential of the HCN channels, regulation by cAMP analogs has not been well investigated. A comprehensive screen of 47 cyclic nucleotides with modifications in the nucleobase, ribose moiety, and cyclic phosphate was tested on the three isoforms HCN1, HCN2, and HCN4. 7-CH-cAMP was identified to be a high affinity binder for HCN channels and crosschecked for its ability to act on other cAMP receptor proteins. While 7-CH-cAMP is a general activator for cAMP- and cGMP-dependent protein kinases as well as for the guanine nucleotide exchange factors Epac1 and Epac2, it displays the highest affinity to HCN channels. The molecular basis of the high affinity was investigated by determining the crystal structure of 7-CH-cAMP in complex with the cyclic nucleotide binding domain of HCN4. Electrophysiological studies demonstrate a strong activation potential of 7-CH-cAMP for the HCN4 channel in vivo. So, this makes 7-CH-cAMP a promising activator of the HCN channels in vitro whose functionality can be translated in living cells.

Analysis of helicase-RNA interactions using nucleotide analog interference mapping.

Nucleotide analog interference mapping (NAIM) is a combinatorial approach that probes individual atoms and functional groups in an RNA molecule and identifies those that are important for a specific biochemical function. Here, we show how NAIM can be adapted to reveal functionally important atoms and groups on RNA substrates of helicases. We explain how NAIM can be used to investigate translocation and unwinding mechanisms of helicases and discuss the advantages and limitations of this powerful chemogenetic approach.

Accurate identification of human Alu and non-Alu RNA editing sites.

We developed a computational framework to robustly identify RNA editing sites using transcriptome and genome deep-sequencing data from the same individual. As compared with previous methods, our approach identified a large number of Alu and non-Alu RNA editing sites with high specificity. We also found that editing of non-Alu sites appears to be dependent on nearby edited Alu sites, possibly through the locally formed double-stranded RNA structure.

High-resolution mapping of points of site-specific replication stalling.

Genetic instability due to stalled replication forks is thought to underlie a number of human diseases, such as premature ageing and cancer susceptibility syndromes. In addition, site-specific stalling occurs at some genetic loci. A detailed understanding of the topology of the stalled replication fork gives a valuable insight into the causes and mechanisms of replication stalling. The method described here allows mapping of the position of the 3'-end of the nascent leading or lagging strand at the replication fork, stalled at a site-specific barrier. The replicating DNA is purified, digested with restriction enzymes, and enriched by BND-cellulose chromatography. The DNA is separated on a sequencing gel, transferred to a membrane, and hybridised to a strand-specific probe. The data obtained using this method allow determining the position of the 3'-end of the nascent strand at a stalled fork with a one-nucleotide resolution.

Isolation of restriction fragments containing origins of replication from complex genomes.

The identification and isolation of origins of replication from mammalian genomes has been a demanding task owing to the great complexity of these genomes. However, two methods have been refined in recent years each of which allows significant enrichment of recently activated origins of replication from asynchronous cell cultures. In one of these, nascent strands are melted from the long template DNA, and the small, origin-centered strands are isolated on sucrose gradients. The second method involves the selective entrapment of bubble-containing fragments in gelling agarose and their subsequent recovery and isolation by molecular cloning. Libraries prepared by this method from Chinese hamster and human cells have been shown to be extremely pure, and provide a renewable resource of origins that can be used as probes on microarrays or sequenced by high-throughput techniques to localize them within the genomic source. The bubble-trapping method is described here for asynchronous mammalian cells that grow with reasonable doubling times and from which nuclear matrices can be reliably prepared. The method for nuclear matrix preparation and enrichment of replication intermediates is described in an accompanying chapter entitled, "Purification of Restriction Fragments Containing Replication Intermediates from Mammalian Cells for 2-D Gel Analysis").

An extraction-free method by which a single slot blot can be used to quantify intracellular DNA damage (crosslinks or strand breaks) and changes in DNA damage response proteins or replication.

We report an extraction-free assay in which the same slot blot membrane can be used to assess total genomic DNA damage (i.e., crosslinks or strand breaks) and DNA replication (i.e., bromodeoxyuridine incorporation) or protein levels (i.e., gamma-H2AX). 14C-thymidine radiolabeling of HCT116 cells loaded directly on a Hybond N+ membrane slot blot enables the quantitation of DNA interstrand crosslinks and DNA breaks, while bromodeoxyuridine incorporation or levels of gamma-H2AX can be assessed by incubating blots with primary monoclonal antibodies followed by detection with horseradish peroxidase (HRP) secondary antibodies. Uniform Ponceau staining of all samples on the membrane indicates that protein binding to the membrane is independent of DNA damage or elution. The use of a single membrane to assay levels of DNA damage and concomitant changes in damage response proteins or replication allows the direct quantitation of diverse parameters under identical conditions.

Nucleotide analog interference mapping.

Nucleotide analog interference mapping (NAIM) is a powerful chemogenetic technique that rapidly identifies chemical groups essential for RNA function. Using a series of phosphorothioate-tagged nucleotide analogs, each carrying different modifications of nucleobase or backbone functionalities, it is possible to simultaneously, yet individually, assess the contribution of particular functional groups to an RNA's activity at every position within the molecule. In contrast to traditional mutagenesis, which modifies RNA on the nucleobase level, the smallest mutable unit in a NAIM analysis is a single atom, providing a detailed description of interactions at critical nucleotides. Because the method introduces modified nucleotides by in vitro transcription, NAIM offers a straightforward and efficient approach to study any RNA that has a selectable function, and it can be applied to RNAs of nearly any length.

In vivo analysis of ribonucleoprotein complexes using nucleotide analog interference mapping.

Multicomponent RNA-protein complexes are essential for eukaryotic gene expression. Some, like the spliceosome, have been studied successfully in vitro using biochemical and structural approaches, but many have not been reconstituted in cell-free systems. Nucleotide analog interference mapping (NAIM) can report detailed atomic information about requirements for ribonucleoprotein particle assembly and function in living cells, providing a method to study complexes in a cellular context at a level of detail comparable to many biochemical assays. The method relies on incorporation of phosphorothioate-tagged nucleotide analogs during in vitro transcription, followed by a selection for the active population of molecules and analysis of the selected RNA sequence composition. Xenopus oocytes provide a cellular environment for selecting active molecules based on particle assembly or function. Functional group analysis of complexes assembled in vivo provides predictive models for further investigation either in vivo or in vitro as well as benchmarks for evaluating and refining biochemical and structural models.