Browse
Submit Data
Databases
API
Help

Dataset Information

7 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Deoxyribozyme-based method for absolute quantification of N ⁶-methyladenosine fractions at specific sites of RNA.

ABSTRACT: N ⁶-Methyladenosine (m⁶A) is the most prevalent modified base in eukaryotic mRNA and long noncoding RNA. Although candidate sites for the m⁶A modification are identified at the transcriptomic level, methods for site-specific quantification of absolute m⁶A modification levels are still limited. Herein, we present a facile method implementing a deoxyribozyme, VMC10, which preferentially cleaves the unmodified RNA. We leveraged reverse transcription and real-time quantitative PCR along with key control experiments to quantify the methylation fraction of specific m⁶A sites. We validated the accuracy of this method with synthetic RNA in which methylation fractions ranged from 0 to 100% and applied our method to several endogenous sites that were previously identified in sequencing-based studies. This method provides a time- and cost-effective approach for absolute quantification of the m⁶A fraction at specific loci, with the potential for multiplexed quantifications, expanding the current toolkit for studying RNA modifications.

SUBMITTER: Bujnowska M

PROVIDER: S-EPMC7242713 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Identifying RNA N6-Methyladenosine Sites in Escherichia coli Genome.

Project description:N6-methyladenosine (m6A) plays important roles in a branch of biological and physiological processes. Accurate identification of m6A sites is especially helpful for understanding their biological functions. Since the wet-lab techniques are still expensive and time-consuming, it's urgent to develop computational methods to identify m6A sites from primary RNA sequences. Although there are some computational methods for identifying m6A sites, no methods whatsoever are available for detecting m6A sites in microbial genomes. In this study, we developed a computational method for identifying m6A sites in Escherichia coli genome. The accuracies obtained by the proposed method are >90% in both 10-fold cross-validation test and independent dataset test, indicating that the proposed method holds the high potential to become a useful tool for the identification of m6A sites in microbial genomes.

| S-EPMC5960707 | biostudies-literature

LEAD-m6 A-seq for Locus-Specific Detection of N6 -Methyladenosine and Quantification of Differential Methylation.

Project description:N6 -methyladenosine (m6 A) is a crucial RNA chemical mark which plays important roles in various biological processes. The development of highly multiplexed, cost-effective, and easy-to-operate methodologies for locus-specific analysis of m6 A is critical for advancing our understanding of the roles of this modification. Herein, we report a method which builds upon the principle of the previously reported SELECT approach by significantly improving its efficiency and coupling it to next generation sequencing technology for high-throughput validation and detection of m6 A modification at selected sites (LEAD-m6 A-seq). Through probing cDNA extension mediated by Bst DNA polymerase at and near target cellular sites by sequencing, we evaluated m6 A modification at these sites, and estimated differential methylation levels (0-84 %) upon in vitro demethylation by the m6 A demethylase FTO with high reproducibility. We envision that this strategy can be readily used for testing a greater number of sites with a broad dynamic range and modified to study other RNA modifications.

| S-EPMC7902341 | biostudies-literature

HOTMAQ: A Multiplexed Absolute Quantification Method for Targeted Proteomics.

Project description:Absolute quantification in targeted proteomics is challenging due to a variety of factors, including low specificity in complex backgrounds, limited analytical throughput, and wide dynamic range. To address these problems, we developed a hybrid offset-triggered multiplex absolute quantification (HOTMAQ) strategy that combines cost-effective mass difference and isobaric tags to enable simultaneous construction of an internal standard curve in the MS1 precursor scan, real-time identification of peptides at the MS2 level, and mass offset-triggered accurate quantification of target proteins in synchronous precursor selection (SPS)-MS3 spectra. This approach increases the analytical throughput of targeted quantitative proteomics by up to 12-fold. The HOTMAQ strategy was employed to verify candidate protein biomarkers in preclinical Alzheimer's disease with high accuracy. The greatly enhanced throughput and quantitative performance, paired with sample flexibility, makes HOTMAQ broadly applicable to targeted peptidomics, proteomics, and phosphoproteomics.

| S-EPMC6379083 | biostudies-literature

Evaluation of digital PCR for absolute RNA quantification.

Project description:Gene expression measurements detailing mRNA quantities are widely employed in molecular biology and are increasingly important in diagnostic fields. Reverse transcription (RT), necessary for generating complementary DNA, can be both inefficient and imprecise, but remains a quintessential RNA analysis tool using qPCR. This study developed a Transcriptomic Calibration Material and assessed the RT reaction using digital (d)PCR for RNA measurement. While many studies characterise dPCR capabilities for DNA quantification, less work has been performed investigating similar parameters using RT-dPCR for RNA analysis. RT-dPCR measurement using three, one-step RT-qPCR kits was evaluated using single and multiplex formats when measuring endogenous and synthetic RNAs. The best performing kit was compared to UV quantification and sensitivity and technical reproducibility investigated. Our results demonstrate assay and kit dependent RT-dPCR measurements differed significantly compared to UV quantification. Different values were reported by different kits for each target, despite evaluation of identical samples using the same instrument. RT-dPCR did not display the strong inter-assay agreement previously described when analysing DNA. This study demonstrates that, as with DNA measurement, RT-dPCR is capable of accurate quantification of low copy RNA targets, but the results are both kit and target dependent supporting the need for calibration controls.

| S-EPMC3779174 | biostudies-literature

Absolute Quantification of Noncoding RNA by Microscale Thermophoresis.

Project description:Accurate quantification of the copy numbers of noncoding RNA has recently emerged as an urgent problem, with impact on fields such as RNA modification research, tissue differentiation, and others. Herein, we present a hybridization-based approach that uses microscale thermophoresis (MST) as a very fast and highly precise readout to quantify, for example, single tRNA species with a turnaround time of about one hour. We developed MST to quantify the effect of tRNA toxins and of heat stress and RNA modification on single tRNA species. A comparative analysis also revealed significant differences to RNA-Seq-based quantification approaches, strongly suggesting a bias due to tRNA modifications in the latter. Further applications include the quantification of rRNA as well as of polyA levels in cellular RNA.

| S-EPMC6617968 | biostudies-literature

Inducible and reversible RNA N6-methyladenosine editing.

Project description:RNA modifications, including N6-methyladenosine (m6A), have been reported to regulate fundamental RNA processes and properties, and directly linked to various human diseases. Methods enabling temporal and transcript/locus-specific editing of specific RNA modifications are essential, but still limited, to dissect the dynamic and context-dependent functions of these epigenetic modifications. Here, we develop a chemically inducible and reversible RNA m6A modification editing platform integrating chemically induced proximity (CIP) and CRISPR methods. We show that m6A editing can be temporally controlled at specific sites of individual RNA transcripts by the addition or removal of the CIP inducer, abscisic acid (ABA), in the system. By incorporating a photo-caged ABA, a light-controlled version of m6A editing platform can be developed. We expect that this platform and strategy can be generally applied to edit other RNA modifications in addition to m6A.

| S-EPMC9005610 | biostudies-literature

Allele-specific RNA N 6-methyladenosine modifications reveal functional genetic variants in human tissues.

Project description:An intricate network of cis- and trans-elements acts on RNA N 6-methyladenosine (m6A), which in turn may affect gene expression and, ultimately, human health. A complete understanding of this network requires new approaches to accurately measure the subtle m6A differences arising from genetic variants, many of which have been associated with common diseases. To address this gap, we developed a method to accurately and sensitively detect transcriptome-wide allele-specific m6A (ASm6A) from MeRIP-seq data and applied it to uncover 12,056 high-confidence ASm6A modifications from 25 human tissues. We also identified 1184 putative functional variants for ASm6A regulation, a subset of which we experimentally validated. Importantly, we found that many of these ASm6A-associated genetic variants were enriched for common disease-associated and complex trait-associated risk loci, and verified that two disease risk variants can change m6A modification status. Together, this work provides a tool to detangle the dynamic network of RNA modifications at the allelic level and highlights the interplay of m6A and genetics in human health and disease.

| S-EPMC10547253 | biostudies-literature

Absolute quantification of miRNAs

Project description:MicroRNAs (miRNAs) have been shown to play an important role in many different cellular, developmental, and physiological processes. Accordingly, numerous methods have been established to identify and quantify miRNAs. The shortness of miRNA sequence results in a high dynamic range of melting temperatures and, moreover, impedes a proper selection of detection probes or optimized PCR primers. While miRNA microarrays allow for massive parallel and accurate relative measurement of all known miRNAs, they have so far been less useful as an assay for absolute quantification. Here, we present a microarray based approach for global and absolute quantification of miRNAs. The method relies on an equimolar pool of about 1000 synthetic miRNAs of known concentration which is used as an universal reference and labeled and hybridized in a dual colour approach on the same array as the sample of interest. Each single miRNA is quantified with respect to the universal reference outbalancing bias related to sequence, labeling, hybridization or signal detection method. We demonstrate the accuracy of the method by various spike in experiments. Further, we quantified miRNA copy numbers in liver samples and CD34(+)CD133(-) hematopoietic stem cells.

2009-10-27 | GSE15835 | GEO

Feasibility of absolute quantification for 31 P MRS at 7 T.

Project description:PurposePhosphorus spectroscopy can differentiate among liver disease stages and types. To quantify absolute concentrations of phosphorus metabolites, sensitivity calibration and transmit field ( B1+ ) correction are required. The trend toward ultrahigh fields (7 T) and the use of multichannel RF coils makes this ever more challenging. We investigated the constraints on reference phantoms, and implemented techniques for the absolute quantification of human liver phosphorus spectra acquired using a 10-cm loop and a 16-channel array at 7 T.MethodsThe effect of phantom conductivity was assessed at 25.8 MHz (1.5 T), 49.9 MHz (3 T), and 120.3 MHz (7 T) by electromagnetic modeling. Radiofrequency field maps ( B1± ) were measured in phosphate phantoms (18 mM and 40 mM) at 7 T. These maps were used to assess the correction of 4 phantom 3D-CSI data sets using 3 techniques: phantom replacement, explicit normalization, and simplified normalization. In vivo liver spectra acquired with a 10-cm loop were corrected with all 3 methods. Simplified normalization was applied to in vivo 16-channel array data sets.ResultsSimulations show that quantification errors of less than 3% are achievable using a uniform electrolyte phantom with a conductivity of 0.23-0.86 S.m-1 at 1.5 T, 0.39-0.58 S.m-1 at 3 T, and 0.34-0.42 S.m-1 (16-19 mM KH2 PO4(aq) ) at 7 T. The mean γ-ATP concentration quantified in vivo at 7 T was 1.39 ± 0.30 mmol.L-1 to 1.71 ± 0.35 mmol.L-1 wet tissue for the 10-cm loop and 1.88 ± 0.25 mmol.L-1 wet tissue for the array.ConclusionIt is essential to select a calibration phantom with appropriate conductivity for quantitative phosphorus spectroscopy at 7 T. Using an 18-mM phosphate phantom and simplified normalization, human liver phosphate metabolite concentrations were successfully quantified at 7 T.

| S-EPMC6492160 | biostudies-literature

easyCLIP analysis of RNA-protein interactions incorporating absolute quantification.

Project description:Quantitative criteria to identify proteins as RNA-binding proteins (RBPs) are presently lacking, as are criteria to define RBP target RNAs. Here, we develop an ultraviolet (UV) cross-linking immunoprecipitation (CLIP)-sequencing method, easyCLIP. easyCLIP provides absolute cross-link rates, as well as increased simplicity, efficiency, and capacity to visualize RNA libraries during sequencing library preparation. Measurement of >200 independent cross-link experiments across >35 proteins identifies an RNA cross-link rate threshold that distinguishes RBPs from non-RBPs and defines target RNAs as those with a complex frequency unlikely for a random protein. We apply easyCLIP to the 33 most recurrent cancer mutations across 28 RBPs, finding increased RNA binding per RBP molecule for KHDRBS2 R168C, A1CF E34K and PCBP1 L100P/Q cancer mutations. Quantitating RBP-RNA interactions can thus nominate proteins as RBPs and define the impact of specific disease-associated RBP mutations on RNA association.

| S-EPMC7946914 | biostudies-literature