RNA Labeling Research Articles

Aggregation-Induced Emission Luminogens: A New Possibility for Efficient Visualization of RNA in Plants.

RNAs play important roles in regulating biological growth and development. Advancements in RNA-imaging techniques are expanding our understanding of their function. Several common RNA-labeling methods in plants have pros and cons. Simultaneously, plants' spontaneously fluorescent substances interfere with the effectiveness of RNA bioimaging. New technologies need to be introduced into plant RNA luminescence. Aggregation-induced emission luminogens (AIEgens), due to their luminescent properties, tunable molecular size, high fluorescence intensity, good photostability, and low cell toxicity, have been widely applied in the animal and medical fields. The application of this technology in plants is still at an early stage. The development of AIEgens provides more options for RNA labeling. Click chemistry provides ideas for modifying AIEgens into RNA molecules. The CRISPR/Cas13a-mediated targeting system provides a guarantee of precise RNA modification. The liquid-liquid phase separation in plant cells creates conditions for the enrichment and luminescence of AIEgens. The only thing that needs to be looked for is a specific enzyme that uses AIEgens as a substrate and modifies AIEgens onto target RNA via a click chemical reaction. With the development and progress of artificial intelligence and synthetic biology, it may soon be possible to artificially synthesize or discover such an enzyme.

Inside Cover Picture

Plenty of advanced methods have been developed for tracing RNA, including directly chemical RNA labeling, metabolic RNA labeling, proximity‐dependent RNA labeling, etc. These RNA labeling strategies have greatly enhanced our learning about complex roles and functions of RNA. For the deeper insight of RNA biology, there is still a constant need to develop newer RNA labeling methods. More details are discussed in the article by Weng et al. on page 790—801.image

Activation of peroxymonosulfate by sustainable biomass-based carbon nanotubes for controlling the spread of plant viruses in water environments

With the increasing demand for water in hydroponic systems and agricultural irrigation, viral diseases have seriously affected the yield and quality of crops. By removing plant viruses in water environments, virus transmission can be prevented and agricultural production and ecosystems can be protected. But so far, there have been few reports on the removal of plant viruses in water environments. Herein, in this study, easily recyclable biomass-based carbon nanotubes catalysts were synthesized with varying metal activities to activate peroxymonosulfate (PMS). Among them, the magnetic 0.125Fe@NCNTs-1/PMS system showed the best overall removal performance against pepper mild mottle virus, with a 5.9 log10 removal within 1 min. Notably, the key reactive species in the 0.125Fe@NCNTs-1/PMS system is 1O2, which can maintain good removal effect in real water matrices (river water and tap water). Through RNA fragment analyses and label free analysis, it was found that this system could effectively cleave virus particles, destroy viral proteins and expose their genome. The capsid protein of pepper mild mottle virus was effectively decomposed where serine may be the main attacking sites by 1O2. Long viral RNA fragments (3349 and 1642 nt) were cut into smaller fragments (∼160 nt) and caused their degradation. In summary, this study contributes to controlling the spread of plant viruses in real water environment, which will potentially help protect agricultural production and food safety, and improve the health and sustainability of ecosystems.

Cellular Metabolic Labeling of Nucleic Acids and Its Applications

AbstractNucleic acids are considered as fundamental molecules of living systems, which serve as universal genetic information messengers and repositories. To uncover the multifaceted aspects of nucleic acid function and metabolism within cells, labeling has become indispensable. This labeling technique enables the visualization, isolation, characterization, and even quantification of specific nucleic acid species. This review delves into cellular metabolic approaches for nucleic acid labeling, wherein enzymatic steps are employed to introduce nucleic acid modifications before conjugation with a label for detection or isolation. The discussion begins with metabolic labeling for DNA, RNA with various reactive groups and post‐transcriptional RNA labeling for RNA methylation and acetylation sites, emphasizing recent advancements in the field and then, we spotlighted pertinent applications for cellular imaging and sequencing. of labeling.

Stability-Based Proteomics for Investigation of Structured RNA-Protein Interactions.

RNA-protein interactions are essential to RNA function throughout biology. Identifying the protein interactions associated with a specific RNA, however, is currently hindered by the need for RNA labeling or costly tiling-based approaches. Conventional strategies, which commonly rely on affinity pull-down approaches, are also skewed to the detection of high affinity interactions and frequently miss weaker interactions that may be biologically important. Reported here is the first adaptation of stability-based mass spectrometry methods for the global analysis of RNA-protein interactions. The stability of proteins from rates of oxidation (SPROX) and thermal protein profiling (TPP) methods are used to identify the protein targets of three RNA ligands, the MALAT1 triple helix (TH), a viral stem loop (SL), and an unstructured RNA (PolyU), in LNCaP nuclear lysate. The 315 protein hits with RNA-induced conformational and stability changes detected by TPP and/or SPROX were enriched in previously annotated RNA-binding proteins and included new proteins for hypothesis generation. Also demonstrated are the orthogonality of the SPROX and TPP approaches and the utility of the domain-specific information available with SPROX. This work establishes a novel platform for the global discovery and interrogation of RNA-protein interactions that is generalizable to numerous biological contexts and RNA targets.

Coordination of rhythmic RNA synthesis and degradation orchestrates 24- and 12-h RNA expression patterns in mouse fibroblasts

Circadian RNA expression is essential to ultimately regulate a plethora of downstream rhythmic biochemical, physiological, and behavioral processes. Both transcriptional and posttranscriptional mechanisms are considered important to drive rhythmic RNA expression; however, the extent to which each regulatory process contributes to the rhythmic RNA expression remains controversial. To systematically address this, we monitored RNA dynamics using metabolic RNA labeling technology during a circadian cycle in mouse fibroblasts. We find that rhythmic RNA synthesis is the primary contributor of 24-h RNA rhythms, while rhythmic degradation is more important for 12-h RNA rhythms. These rhythms were predominantly regulated by Bmal1 and/or the core clock mechanism, and the interplay between rhythmic synthesis and degradation has a significant impact in shaping rhythmic RNA expression patterns. Interestingly, core clock RNAs are regulated by multiple rhythmic processes and have the highest amplitude of synthesis and degradation, presumably critical to sustain robust rhythmicity of cell-autonomous circadian rhythms. Our study yields invaluable insights into the temporal dynamics of both 24- and 12-h RNA rhythms in mouse fibroblasts.

Nuclear and cytoplasmic specific RNA binding proteome enrichment and its changes upon ferroptosis induction

The key role of RNA-binding proteins (RBPs) in posttranscriptional regulation of gene expression is intimately tied to their subcellular localization. Here, we show a subcellular-specific RNA labeling method for efficient enrichment and deep profiling of nuclear and cytoplasmic RBPs. A total of 1221 nuclear RBPs and 1333 cytoplasmic RBPs were enriched and identified using nuclear/cytoplasm targeting enrichment probes, representing an increase of 54.4% and 85.7% compared with previous reports. The probes were further applied in the omics-level investigation of subcellular-specific RBP-RNA interactions upon ferroptosis induction. Interestingly, large-scale RBPs display enhanced interaction with RNAs in nucleus but reduced association with RNAs in cytoplasm during ferroptosis process. Furthermore, we discovered dozens of nucleoplasmic translocation candidate RBPs upon ferroptosis induction and validated representative ones by immunofluorescence imaging. The enrichment of Tricarboxylic acid cycle in the translocation candidate RBPs may provide insights for investigating their possible roles in ferroptosis induced metabolism dysregulation.

Mitochondria-Associated Transcriptome Profiling via Localizable Aggregation-Induced Emission Photosensitizers in Live Cells.

In recent decades, there has been increasing interest in studying mitochondria through transcriptomic research. Various exogenous fusion protein-based proximity labeling methods have been reported that focus on the site of one particular protein/peptide and might also influence the corresponding localization or interactome. To enable unbiased and high spatial-resolution profiling of mitochondria-associated transcriptomes in live cells, a flexible RNA proximity labeling approach was developed using aggregation-induced emission (AIE) type photosensitizers (PSs) that possess great mitochondria-targeting capabilities. Their accumulation in an enclosed mitochondrial environment tends to enhance the fluorescence emission and reactive oxygen species generation. By comparing the in vitro optical properties, photosensitization processes, as well as the in cellulo mitochondrial specificity and RNA labeling performance of four AIE PSs, high-throughput sequencing analysis was conducted using TFPy-mediated RNA proximity labeling in live HeLa cells. This approach successfully captured a comprehensive list of transcripts, including mitochondria-encoded RNAs, as well as some nuclear-derived RNAs located at the outer mitochondrial membrane and interacting organelles. This small molecule-based proximity labeling method bypasses complex genetic manipulation and transfection steps, making it readily applicable for diverse research purposes.

Intracellular RNA Labeling Technologies for the Analysis of RNA Biology†

Comprehensive SummaryAs a cornerstone of the central dogma of molecular biology, RNA plays vital roles in living organisms. Over the past few decades, many RNA labeling technologies have been developed to elucidate the biological function of RNA. These technologies have significantly advanced our understanding of RNA secondary structure, localization, and turnover. Additionally, taking advantage of these innovative RNA labeling approaches, plenty of tool kits have been devised for the regulation of RNA‐related biological process, such as gene expression and gene editing. In this review, we primarily focus on an array of intracellular RNA labeling methods, encompassing chemical probes‐based labeling, metabolic labeling, and proximity‐dependent labeling. We also provide a brief overview of their applications in the research of RNA biology. Finally, the perspectives of RNA labeling are also discussed.Key Scientists4SU was first used in1978 as a safer way to directly examine RNA synthesis. However, the enrichment of 4SU‐labeled RNA seriously relied on mercurated cellulose columns, which are toxic. In 2005, Boothroyd et al. introduced a novel covalent‐modification method of 4SU based on thiol exchange reaction. Then, Salic et al. applied 5EU, which is clickable, for RNA metabolic labeling in animals. Later, Spitale et al. designed 5EC and 2’AzU, which enabled cell specific RNA metabolic labeling under the help of specific enzyme. In 2013, directly chemical RNA labeling in living cell for RNA structure mapping was realized by Chang and Kool et al. using SHAPE reagent, which was further modified with an azide handle in 2015. Weissman, Bevilacqua and Assmann et al. introduced DMS probe that targets adenine and cytosine of RNA for RNA structure mapping in 2014. Then, Chang et al. exploited psoralen for RNA duplex mapping in 2016. Later, He, Zhou and Zhang et al. described another clickable probe N3‐kethoxal targeting guanine for RNA secondary structure mapping. Besides, Chang and Ting et al. described a proximity‐dependent RNA labeling method based on APEX in 2019, revealing subcellular RNA localization. Meanwhile, Zou and Wang et al. achieved proximity‐dependent RNA labeling using miniSOG oxidase, which provided an alternative method to investigate the spatial transcriptome. Spitale et al. utilizing photosensitizer dibromofluorescein (DBF) to realize proximity‐dependent RNA labeling and sequencing.

Two-Step Parameter Estimation for Read Feature Models

AbstractOver the last two decades, the field of molecular biology has witnessed a revolution due to the development of next generation sequencing (NGS) technologies. NGS enables researchers to routinely generate huge amounts of data that can be used to pursue a large variety of questions in diverse biological systems. The development of these techniques has propelled the emergence of a sub-discipline within computational biology that is concerned with developing methods and statistical models to derive quantitative information from the complex and often indirect data that are generated by NGS. Often, NGS analysis results in particular patterns per biological entity that can be exploited to estimate quantitative parameters of biological interest. Here, I define read feature models (RFMs) as a general framework for such data. RFMs entail global, genome-wide parameters as well as parameters per biological entity, suggesting a two-step procedure for parameter estimation. I describe the analysis of metabolic RNA labeling data as an example of an RFM and analyze and discuss the merits and shortcomings of the two-step estimation.

N4-Allylcytidine: a new nucleoside analogue for RNA labelling and chemical sequencing.

RNA labelling has become indispensable in studying RNA biology. Nucleoside analogues with a chemical sequencing power represent desirable RNA labelling molecules because precise labelling information at base resolution can be obtained. Here, we report a new nucleoside analogue, N4-allylcytidine (a4C), which is able to tag RNA through both in vitro and in vivo pathways and further specifically reacts with iodine to form 3, N4-cyclized cytidine (cyc-C) in a catalyst-free, fast and complete manner. Full spectroscopic characterization concluded that cyc-C consisted of paired diastereoisomers with opposite chiral carbon centers in the fused 3, N4-five-membered ring. During RNA reverse transcription into complementary DNA, cyc-C induces base misincorporation due to the disruption of canonical hydrogen bonding by the cyclized structure and thus can be accurately identified by sequencing at single base resolution. With the chemical sequencing rationale of a4C, successful applications have been performed including pinpointing N4-methylcytidine methyltransferases' substrate modification sites, metabolically labelling mammalian cellular RNAs, and mapping active cellular RNA polymerase locations with the chromatin run-on RNA sequencing technique. Collectively, our work demonstrates that a4C is a promising molecule for RNA labelling and chemical sequencing and expands the toolkit for studying sophisticated RNA biology.

Chemical diversity of reagents that modify RNA 2'-OH in water: a review.

Electrophilic water-soluble compounds have proven versatile in reacting selectively with 2'-OH groups in RNA, enabling structure mapping, probing, caging, labeling, crosslinking, and conjugation of RNAs in vitro and in living cells. While early work focused on one or two types of reagents with limited properties, recent studies have greatly diversified the structure, properties, and applications of these reagents. Here we review the scope of documented RNA hydroxyl-reactive species reported to date, with an eye to the effects of chemical structure on reactivity with RNA and other useful properties. Multiple forms of carbonyl electrophiles are now known to react at the 2'-OH, and recently, sulfonyl and aryl electrophiles have also been documented to form bonds there in high yields as well. In addition to electrophilicity, data also point to significant effects of reagent stability, steric bulk, and chirality on reaction yields and selectivity. Finally, we outline reagent properties and principles that define utility in applications with RNA, with an eye to the design of future reagents.

Global characterization of RNA modifying enzymes with RNA-mediated activity-based protein profiling (RNABPP).

Post-transcriptional RNA modifications can regulate RNA function and play an important role in gene expression. Studying RNA modifying enzymes and their associated modifications remains a considerable challenge. Here we describe the RNA-mediated activity-based protein profiling (RNABPP) methodology, a chemoproteomic strategy for profiling the activity of RNA modifying enzymes in their native context. RNABPP relies upon metabolic RNA labeling with modified ribonucleoside-based probes, combined with protein-RNA enrichment and quantitative proteomics. The RNABPP approach is a general strategy based on chemical reactivity and enzyme mechanism, making it suitable for probing multiple classes of RNA modifying enzymes across diverse biological systems.

Metabolic RNA Labeling and Translating Ribosome Affinity Purification for Measurement of Nascent RNA Translation.

Regulation of gene expression in response to various biological processes, including extracellular stimulation and environmental adaptation, requires nascent mRNA synthesis and translation. Simultaneous analysis of the coordinated regulation of dynamic mRNA synthesis and translation using the same experiment remains a major challenge in the field. Here, we describe a step-by-step protocol for the simultaneous measurement of transcription of nascent mRNA and its translation at the gene level during the acute unfolded protein response (UPR) in HEK293 cells by combining 4-thiouridine metabolic mRNA labeling with translational ribosome affinity purification (TRAP) using a monoclonal antibody against evolutionarily conserved ribosomal P-stalk proteins (P-TRAP). Since P-TRAP captures full-length RNAs bound to ribosomes, it is compatible with 3' mRNA-seq, which analyzes the uridine-rich 3' UTRs of polyadenylated RNAs, allowing robust quantification of T>C conversions. Our nascent P-TRAP (nP-TRAP) method, in which P-TRAP is combined with metabolic mRNA labeling, can serve as a simple and powerful tool to analyze the coordinated regulation of transcription and translation of individual genes in cultured cells. Key features • Simple and retriable analysis of nascent mRNA synthesis and its translation in cultured cells • Combination of 4-thiouridine metabolic RNA labeling with translating ribosome affinity purification (TRAP) • Ribosomal P-stalk-mediated TRAP (P-TRAP) allows single-step and efficient purification of non-tagged ribosomes and translated mRNAs.

Genome-wide kinetic profiling of pre-mRNA 3' end cleavage.

Cleavage and polyadenylation is necessary for the formation of mature mRNA molecules. The rate at which this process occurs can determine the temporal availability of mRNA for subsequent function throughout the cell and is likely tightly regulated. Despite advances in high-throughput approaches for global kinetic profiling of RNA maturation, genome-wide 3' end cleavage rates have never been measured. Here, we describe a novel approach to estimate the rates of cleavage, using metabolic labeling of nascent RNA, high-throughput sequencing, and mathematical modeling. Using in silico simulations of nascent RNA-seq data, we show that our approach can accurately and precisely estimate cleavage half-lives for both constitutive and alternative sites. We find that 3' end cleavage is fast on average, with half-lives under a minute, but highly variable across individual sites. Rapid cleavage is promoted by the presence of canonical sequence elements and an increased density of polyadenylation signals near a cleavage site. Finally, we find that cleavage rates are associated with the localization of RNA polymerase II at the end of a gene, and faster cleavage leads to quicker degradation of downstream readthrough RNA. Our findings shed light on the features important for efficient 3' end cleavage and the regulation of transcription termination.

Extending the toolbox for RNA biology with SegModTeX: a polymerase-driven method for site-specific and segmental labeling of RNA

RNA performs a wide range of functions regulated by its structure, dynamics, and often post-transcriptional modifications. While NMR is the leading method for understanding RNA structure and dynamics, it is currently limited by the inability to reduce spectral crowding by efficient segmental labeling. Furthermore, because of the challenging nature of RNA chemistry, the tools being developed to introduce site-specific modifications are increasingly complex and laborious. Here we use a previously designed Tgo DNA polymerase mutant to present SegModTeX — a versatile, one-pot, copy-and-paste approach to address these challenges. By precise, stepwise construction of a diverse set of RNA molecules, we demonstrate the technique to be superior to RNA polymerase driven and ligation methods owing to its substantially high yield, fidelity, and selectivity. We also show the technique to be useful for incorporating some fluorescent- and a wide range of other probes, which significantly extends the toolbox of RNA biology in general.

Profiling stress-triggered RNA condensation with photocatalytic proximity labeling

Stress granules (SGs) are highly dynamic cytoplasmic membrane-less organelles that assemble when cells are challenged by stress. RNA molecules are sorted into SGs where they play important roles in maintaining the structural stability of SGs and regulating gene expression. Herein, we apply a proximity-dependent RNA labeling method, CAP-seq, to comprehensively investigate the content of SG-proximal transcriptome in live mammalian cells. CAP-seq captures 457 and 822 RNAs in arsenite- and sorbitol-induced SGs in HEK293T cells, respectively, revealing that SG enrichment is positively correlated with RNA length and AU content, but negatively correlated with translation efficiency. The high spatial specificity of CAP-seq dataset is validated by single-molecule FISH imaging. We further apply CAP-seq to map dynamic changes in SG-proximal transcriptome along the time course of granule assembly and disassembly processes. Our data portray a model of AU-rich and translationally repressed SG nanostructure that are memorized long after the removal of stress.

Measuring Transcription Dynamics of Individual Genes Inside Living Cells.

Transcription is a highly dynamic process, which, for many genes, occurs in stochastic bursts. Studying what regulates these stochastic bursts requires visualization and quantification of transcription dynamics in single living cells. Such measurements of bursting can be accomplished by labeling nascent transcripts of single genes fluorescently with the MS2 and PP7 RNA labeling techniques. Live-cell single-molecule microscopy of transcription in real time allows for the extraction of transcriptional bursting kinetics inside single cells. This chapter describes how to set up the MS2 or PP7 RNA labeling system of endogenous genes in both budding yeast (Saccharomyces cerevisiae) and mammalian cells (mouse embryonic stem cells). We include how to genetically engineer the cells with the MS2 and PP7 system, describe how to perform the live-microscopy experiments and discuss how to extract transcriptional bursting parameters of the genes of interest.

Genome-wide measurement of RNA dissociation from chromatin classifies transcripts by their dynamics and reveals rapid dissociation of enhancer lncRNAs.

Long non-coding RNAs (lncRNAs) are involved in gene expression regulation in cis. Although enriched in the cell chromatin fraction, to what degree this defines their regulatory potential remains unclear. Furthermore, the factors underlying lncRNA chromatin tethering, as well as the molecular basis of efficient lncRNA chromatin dissociation and its impact on enhancer activity and target gene expression, remain to be resolved. Here, we developed chrTT-seq, which combines the pulse-chase metabolic labeling of nascent RNA with chromatin fractionation and transient transcriptome sequencing to follow nascent RNA transcripts from their transcription on chromatin to release and allows the quantification of dissociation dynamics. By incorporating genomic, transcriptomic, and epigenetic metrics, as well as RNA-binding protein propensities, in machine learning models, we identify features that define transcript groups of different chromatin dissociation dynamics. Notably, lncRNAs transcribed from enhancers display reduced chromatin retention, suggesting that, in addition to splicing, their chromatin dissociation may shape enhancer activity.

Advances in RNA Labeling with Trifluoromethyl Groups.

Fluorine labeling of ribonucleic acids (RNA) in conjunction with 19 F NMR spectroscopy has emerged as a powerful strategy for spectroscopic analysis of RNA structure and dynamics, and RNA-ligand interactions. This study presents the first syntheses of 2'-OCF3 guanosine and uridine phosphoramidites, their incorporation into oligoribonucleotides by solid-phase synthesis and a comprehensive study of their properties. NMR spectroscopic analysis showed that the 2'-OCF3 modification is associated with preferential C2'-endo conformation of the U and G ribose in single-stranded RNA. When paired to the complementary strand, slight destabilization of the duplex caused by the modification was revealed by UV melting curve analysis. Moreover, the power of the 2'-OCF3 label for NMR spectroscopy is demonstrated by dissecting RNA pseudoknot folding and its binding to a small molecule. Furthermore, the 2'-OCF3 modification has potential for applications in therapeutic oligonucleotides. To this end, three 2'-OCF3 modified siRNAs were tested in silencing of the BASP1 gene which indicated enhanced performance for one of them. Importantly, together with earlier work, the present study completes the set of 2'-OCF3 nucleoside phosphoramidites to all four standard nucleobases (A, U, C, G) and hence enables applications that utilize the favorable properties of the 2'-OCF3 group without any restrictions in placing the modification into the RNA target sequence.