Modification mapping by nanopore sequencing

Emerging roles of RNA modifications in the rice blast fungus

RNA modifications have been revealed by epitranscriptomics to play crucial roles in diverse biological processes. Nevertheless, data regarding RNA modifications during plant-pathogen interaction remain scarce. Recently, several studies have demonstrated the functions of RNA modifications in rice blast fungus.

Circuit logic: interdependent RNA modifications shape mRNA and noncoding RNA structure and function

Continued advances in high-throughput detection of posttranscriptional RNA modifications have enabled large-scale, mechanistic studies into the importance of RNA modifications in regulating the structure, function, and stability of coding and noncoding RNAs. More recently, this has expanded beyond investigations of independent single modifications, revealing the breadth of modification complexities in single transcripts and the biogenesis pathways involved that lead to coordinately modified RNA species. This has resulted in the concept of modification circuits, where one modification can promote or inhibit the subsequent installation of other modifications, or when modifications are coordinated across different RNA species. These circuits play important roles in the biogenesis of multistepped posttranscriptional modifications, modulate ribonucleoprotein complex formation and conformational switches, and mediate codon-biased translation through the coordination of mRNA and tRNA modifications. Here, I review evidence of complex modification circuits in mRNA and noncoding RNA and highlight open questions concerning the molecular mechanisms giving rise to modification circuits and their importance in the context of RNA processing and maturation.

Long-read structural and epigenetic profiling of a kidney tumor-matched sample with nanopore sequencing and optical genome mapping

Carcinogenesis often involves significant alterations in the cancer genome, marked by large structural variants (SVs) and copy number variations (CNVs) that are difficult to capture with short-read sequencing. Traditionally, cytogenetic techniques are applied to detect such aberrations, but they are limited in resolution and do not cover features smaller than several hundred kilobases. Optical genome mapping (OGM) and nanopore sequencing [Oxford Nanopore Technologies (ONT)] bridge this resolution gap and offer enhanced performance for cytogenetic applications. Additionally, both methods can capture epigenetic information as they profile native, individual DNA molecules. We compared the effectiveness of the two methods in characterizing the structural, copy number and epigenetic landscape of a clear cell renal cell carcinoma tumor. Both methods provided comparable results for basic karyotyping and CNVs, but differed in their ability to detect SVs of different sizes and types. ONT outperformed OGM in detecting small SVs, while OGM excelled in detecting larger SVs, including translocations. Differences were also observed among various ONT SV callers. Additionally, both methods provided insights into the tumor's methylome and hydroxymethylome. While ONT was superior in methylation calling, hydroxymethylation reports can be further optimized. Our findings underscore the importance of carefully selecting the most appropriate platform based on specific research questions.

Toward the use of nanopore RNA sequencing technologies in the clinic: challenges and opportunities

RNA molecules have garnered increased attention as potential clinical biomarkers in recent years. While short-read sequencing and quantitative polymerase chain reaction have been the primary methods for quantifying RNA abundance, they typically fail to capture critical post-transcriptional regulatory elements, such as RNA modifications, which are often dysregulated in disease contexts. A promising cutting-edge technique sequencing method that addresses this gap is direct RNA sequencing, offered by Oxford Nanopore Technologies, which can simultaneously capture both RNA abundance and modification information. The rapid advancements in this platform, along with growing evidence of dysregulated RNA species in biofluids, presents a compelling clinical opportunity. In this review, we discuss the challenges and the emerging opportunities for the adoption of nanopore RNA sequencing technologies in the clinic, highlighting their potential to revolutionize personalized medicine and disease monitoring.

Charting the epitranscriptomic landscape across RNA biotypes using native RNA nanopore sequencing

RNA modifications are conserved chemical features found in all domains of life and across diverse RNA biotypes, shaping gene expression profiles and enabling rapid responses to environmental changes. Their broad chemical diversity and dynamic nature pose significant challenges for studying them comprehensively. These limitations can now be addressed through direct RNA nanopore sequencing (DRS), which allows simultaneous identification of diverse RNA modification types at single-molecule and single-nucleotide resolution. Here, we review recent efforts pioneering the use of DRS to better understand the epitranscriptomic landscape. We highlight how DRS can be applied to investigate different RNA biotypes, emphasizing the use of specialized library preparation protocols and downstream bioinformatic workflows to detect both natural and synthetic RNA modifications. Finally, we provide a perspective on the future role of DRS in epitranscriptomic research, highlighting remaining challenges and emerging opportunities from improved sequencing yields and accuracy enabled by the latest DRS chemistry.

Investigating the origins of the mutational signatures in cancer

Most of the risk factors associated with chronic and complex diseases, such as cancer, stem from exogenous and endogenous exposures experienced throughout an individual's life, collectively known as the exposome. These exposures can modify DNA, which can subsequently lead to the somatic mutations found in all normal and tumor tissues. Understanding the precise origins of specific somatic mutations has been challenging due to multitude of DNA adducts (i.e. the DNA adductome) and their diverse positions within the genome. Thus far, this limitation has prevented researchers from precisely linking exposures to DNA adducts and DNA adducts to subsequent mutational outcomes. Indeed, many common mutations observed in human cancers appear to originate from error-prone endogenous processes. Consequently, it remains unclear whether these mutations result from exposure-induced DNA adducts, or arise indirectly from endogenous processes or are a combination of both. In this review, we summarize approaches that aim to bridge our understanding of the mechanism by which exposure leads to DNA damage and then to mutation and highlight some of the remaining challenges and shortcomings to fully supporting this paradigm. We emphasize the need to integrate cellular DNA adductomics, long read-based mapping, single-molecule duplex sequencing of native DNA molecules and advanced computational analysis. This proposed holistic approach aims to unveil the causal connections between key DNA modifications and the mutational landscape, whether they originate from external exposures, internal processes or a combination of both, thereby addressing key questions in cancer biology.

Exploring Extracellular Vesicle Transcriptomic Diversity Through Long-Read Nanopore Sequencing

Nanopore long-read RNA sequencing is reshaping extracellular vesicle (EV) research by providing the capacity to analyze full-length RNA molecules. EVs are crucial for intercellular communication, carrying a diverse range of RNA cargo that can regulate recipient cell behavior. However, traditional short-read sequencing methods involve transcript fragmentation, limiting our understanding of the EV transcriptomic landscape. Furthermore, it has been generally assumed that EV RNAs are likely to be fragmentation products of cellular RNAs, and the extent to which full length RNAs are present within EVs remains to be clarified. Recent advancements in sequencing technology, particularly long-read sequencing by Oxford Nanopore Technologies (ONT), offer a solution to this limitation. Hence, long-read sequencing allows for the analysis of full-length EV RNA molecules, providing deeper insights into their integrity and isoform diversity. Here, we present a comprehensive protocol for EV RNA purification, cDNA library preparation, and sequencing using ONT's MinION platform.

Defining the True Native Ends of RNAs at Single-Molecule Level with TERA-Seq

Turnover of messenger RNAs (mRNAs) is a highly regulated process and serves to control expression of RNA molecules and to eliminate aberrant transcripts. Profiling mRNA decay using short-read sequencing methods that target either the 5' or 3' ends of RNAs, overlooks valuable information about the other end, which could provide significant insights into biological aspects and mechanisms of RNA decay. Oxford Nanopore Technology (ONT) is rapidly emerging as a powerful platform for direct sequencing of native, single-RNA molecules. However, as currently designed, the existing ONT platform is unable to sequence the very 5' ends of RNAs and is limited to polyadenylated molecules. Here, we present a detailed step-by-step experimental protocol for True End-to-end RNA Sequencing (TERA-Seq), a new method that addresses ONT's limitations, allowing accurate representation and characterization of RNAs at the level of single molecules. TERA-Seq describes both poly- and non-polyadenylated RNA molecules and accurately identifies their native ends by ligating uniquely designed adapters to the 5' ends (5TERA), the 3' ends (TERA3), or both ends (5TERA3) that are sequenced along with the transcripts.

An Integrated Multi-Model Framework Utilizing Convolutional Neural Networks Coupled with Feature Extraction for Identification of 4mC Sites in DNA Sequences

N4-methylcytosine (4mC) is a chemical modification that occurs on one of the four nucleotide bases in DNA and plays a vital role in DNA expression, repair, and replication. It also actively participates in the regulation of cell differentiation and gene expression. Consequently, it is important to comprehend the role of 4mC in the epigenetic regulation for revealing the complications of the gene expression and their associated governing cellular operations. However, the inherent resource requirements and time constraints of the experimental procedure, present challenges to the cellular culture process. While data-driven methodologies present promising solutions to mitigate the demand for extensive experimental efforts, their performance relies on the suitability and existence of high-quality data. This study presents a multi-model framework that integrates convolutional neural network (CNN) with the distributed k-mer and embedding feature extraction techniques to enhance the identification of 4mC sites in DNA sequences. The integration of k-mers ensures the effective representation of the local sequence patterns, while the utilization of embedding enables a more holistic encoding by considering the broader context and semantics of the sequence data. Following the initial step, the obtained distributed representation of the DNA sequence seamlessly enters the CNN, triggering a crucial convolution operation wherein a set of adaptable filters systematically convolves across the sequence to detect vital local patterns. The proposed integrated multi-model framework was applied to six publicly available datasets and evaluated against the cutting-edge 4mCPred, 4mCCNN, iDNA4mC, Meta-4mCpred, DeepTorrent, 4mCPred-SVM, and DMKL-HFIS methods. The evaluation was based on accuracy, specificity, sensitivity, and Matthews Correlation Coefficient. The results demonstrated that the proposed multi-model framework outperformed the state-of-the-art methods, as well as one-hot encoding and the hybrid of one-hot & TNC features, in accurately identifying 4mC sites.

Nanopore sequencing: flourishing in its teenage years

Over the past decade, nanopore sequencing has experienced significant advancements and changes, transitioning from an initially emerging technology to a significant instrument in the field of genomic sequencing. However, as advancements in next-generation sequencing technology persist, nanopore sequencing also improves. This paper reviews the developments, applications, and outlook on nanopore sequencing technology. Currently, nanopore sequencing supports both DNA and RNA sequencing, making it widely applicable in areas such as telomere-to-telomere (T2T) genome assembly, direct RNA sequencing (DRS), and metagenomics. The openness and versatility of nanopore sequencing have established it as a preferred option for an increasing number of research teams, signaling a transformative influence on life science research. As the nanopore sequencing technology advances, it provides a faster, more cost-effective approach with extended read lengths, demonstrating the significant potential for complex genome assembly, pathogen detection, environmental monitoring, and human disease research, offering a fresh perspective in sequencing technologies.

Nanopore sequencing of intact aminoacylated tRNAs

Transfer RNAs (tRNA) are decorated during biogenesis with a variety of modifications that modulate their stability, aminoacylation, and decoding potential during translation. The complex landscape of tRNA modification presents significant analysis challenges and to date no single approach enables the simultaneous measurement of important but disparate chemical properties of individual, mature tRNA molecules. We developed a new, integrated approach to analyze the sequence, modification, and aminoacylation state of tRNA molecules in a high throughput nanopore sequencing experiment, leveraging a chemical ligation that embeds the charged amino acid in an adapted tRNA molecule. During nanopore sequencing, the embedded amino acid generates unique distortions in ionic current and translocation speed, enabling application of machine learning approaches to classify charging status and amino acid identity. Specific applications of the method indicate it will be broadly useful for examining relationships and dependencies between tRNA sequence, modification, and aminoacylation.

Now and then in eukaryotic DNA methylation

Since the mid-1970s, increasingly innovative methods to detect DNA methylation provided detailed information about its distribution, functions, and dynamics. As a result, new concepts were formulated and older ones were revised, transforming our understanding of the associated biology and catalyzing unprecedented advances in biomedical research, drug development, anthropology, and evolutionary biology. In this review, we discuss a few of the most notable advances, which are intimately intertwined with the study of DNA methylation, with a particular emphasis on the past three decades. Examples of these strides include elucidating the intricacies of 5-methylcytosine (5-mC) oxidation, which are at the core of the reversibility of this epigenetic modification; the three-dimensional structural characterization of eukaryotic DNA methyltransferases, which offered insights into the mechanisms that explain several disease-associated mutations; a more in-depth understanding of DNA methylation in development and disease; the possibility to learn about the biology of extinct species; the development of epigenetic clocks and their use to interrogate aging and disease; and the emergence of epigenetic biomarkers and therapies.

Epitranscriptome in action: RNA modifications in the DNA damage response

Complex pathways involving the DNA damage response (DDR) contend with cell-intrinsic and -extrinsic sources of DNA damage. DDR mis-regulation results in genome instability that can contribute to aging and diseases including cancer and neurodegeneration. Recent studies have highlighted key roles for several RNA species in the DDR, including short RNAs and RNA/DNA hybrids (R-loops) at DNA break sites, all contributing to efficient DNA repair. RNAs can undergo more than 170 distinct chemical modifications. These RNA modifications have emerged as key orchestrators of the DDR. Here, we highlight the function of enzyme- and non-enzyme-induced RNA modifications in the DDR, with particular emphasis on m6A, m5C, and RNA editing. We also discuss stress-induced RNA damage, including RNA alkylation/oxidation, RNA-protein crosslinks, and UV-induced RNA damage. Uncovering molecular mechanisms that underpin the contribution of RNA modifications to DDR and genome stability will have direct application to disease and approaches for therapeutic intervention.

Legionella maceachernii pneumonia: a case report and literature review

BACKGROUND

Legionella maceachernii pneumonia is a severe respiratory infection with low incidence but high mortality. However, the optimal treatment for this disease remains unclear. We report a case of successful treatment of Legionella maceachernii pneumonia, which is the first report of such a case in China.

CASE PRESENTATION

An 87-year-old man with concomitant chronic obstructive pulmonary disease, liver cirrhosis, and history of left nephrectomy was diagnosed with Legionella maceachernii pneumonia using Dano-seq pathogen metagenomic testing. After two weeks of treatment with cefoperazone/sulbactam combined with quinolone antibiotics, the patient showed improvement and was discharged. The patient continued to take oral quinolone antibiotics for one week after discharge and recovered during outpatient follow-up.

CONCLUSIONS

Dano-seq pathogen metagenomic testing can rapidly diagnose Legionella maceachernii pneumonia, and taking quinolone antibiotics is an effective treatment.

Comparative analysis of 43 distinct RNA modifications by nanopore tRNA sequencing

Transfer RNAs are the fundamental adapter molecules of protein synthesis and the most abundant and heterogeneous class of noncoding RNA molecules in cells. The study of tRNA repertoires remains challenging, complicated by the presence of dozens of post transcriptional modifications. Nanopore sequencing is an emerging technology with promise for both tRNA sequencing and the detection of RNA modifications; however, such studies have been limited by the throughput and accuracy of direct RNA sequencing methods. Moreover, detection of the complete set of tRNA modifications by nanopore sequencing remains challenging. Here we show that recent updates to nanopore direct RNA sequencing chemistry (RNA004) combined with our own optimizations to tRNA sequencing protocols and analysis workflows enable high throughput coverage of tRNA molecules and characterization of nanopore signals produced by 43 distinct RNA modifications. We share best practices and protocols for nanopore sequencing of tRNA and further report successful detection of low abundance mitochondrial and viral tRNAs, providing proof of concept for use of nanopore sequencing to study tRNA populations in the context of infection and organelle biology. This work provides a roadmap to guide future efforts towards de novo detection of RNA modifications across multiple organisms using nanopore sequencing.

Long-read sequencing for brain tumors

Brain tumors and genomics have a long-standing history given that glioblastoma was the first cancer studied by the cancer genome atlas. The numerous and continuous advances through the decades in sequencing technologies have aided in the advanced molecular characterization of brain tumors for diagnosis, prognosis, and treatment. Since the implementation of molecular biomarkers by the WHO CNS in 2016, the genomics of brain tumors has been integrated into diagnostic criteria. Long-read sequencing, also known as third generation sequencing, is an emerging technique that allows for the sequencing of longer DNA segments leading to improved detection of structural variants and epigenetics. These capabilities are opening a way for better characterization of brain tumors. Here, we present a comprehensive summary of the state of the art of third-generation sequencing in the application for brain tumor diagnosis, prognosis, and treatment. We discuss the advantages and potential new implementations of long-read sequencing into clinical paradigms for neuro-oncology patients.

Bibliometric analysis of kinship analysis from 1960 to 2023: global trends and development

Kinship analysis is a crucial aspect of forensic genetics. This study analyzed 1,222 publications on kinship analysis from 1960 to 2023 using bibliometric analysis techniques, investigating the annual publication and citation patterns, most productive countries, organizations, authors and journals, most cited documents and co-occurrence of keywords. The initial publication in this field occurred in 1960. Since 2007, there has been a significant increase in publications, with over 30 published annually except for 2010. China had the most publications (n = 213, 17.43%), followed by the United States (n = 175, 14.32%) and Germany (n = 89, 7.28%). The United States also had the highest citation count. Sichuan University in China has the largest number of published articles. The University of Leipzig and the University of Cologne in Germany exhibit the highest total citation count and average citation, respectively. Budowle B was the most prolific author and Kayser M was the most cited author. In terms of publications, Forensic Science International- Genetics, Forensic Science International, and International Journal of Legal Medicine were the most prolific journals. Among them, Forensic Science International-Genetics boasted the highest h-index, citation count, and average citation rate. The most frequently cited publication was "Van Oven M, 2009, Hum Mutat", with a total of 1,361 citations. The most frequent co-occurrence keyword included "DNA", "Loci", "Paternity testing", "Population", "Markers", and "Identification", with recent interest focusing on "Kinship analysis", "SNP" and "Inference". The current research is centered around microhaplotypes, forensic genetic genealogy, and massively parallel sequencing. The field advanced with new DNA analysis methods, tools, and genetic markers. Collaborative research among nations, organizations, and authors benefits idea exchange, problem-solving efficiency, and high-quality results.

Chloroplast Ribosome Biogenesis Factors

The formation of chloroplasts can be traced back to an ancient event in which a eukaryotic host cell containing mitochondria ingested a cyanobacterium. Since then, chloroplasts have retained many characteristics of their bacterial ancestor, including their transcription and translation machinery. In this review, recent research on the maturation of rRNA and ribosome assembly in chloroplasts is explored, along with their crucial role in plant survival and their implications for plant acclimation to changing environments. A comparison is made between the ribosome composition and auxiliary factors of ancient and modern chloroplasts, providing insights into the evolution of ribosome assembly factors. Although the chloroplast contains ancient proteins with conserved functions in ribosome assembly, newly evolved factors have also emerged to help plants acclimate to changes in their environment and internal signals. Overall, this review offers a comprehensive analysis of the molecular mechanisms underlying chloroplast ribosome assembly and highlights the importance of this process in plant survival, acclimation and adaptation.

Directing RNA-modifying machineries towards endogenous RNAs: opportunities and challenges

Over 170 chemical modifications can be naturally installed on RNA, all of which are catalyzed by dedicated machineries. These modifications can alter RNA sequence structure, stability, and translation as well as serving as quality control marks that record aspects of RNA processing. The diverse roles played by RNAs within cells has motivated endeavors to exogenously introduce RNA modifications at target sites for diverse purposes ranging from recording RNA:protein interactions to therapeutic applications. Here, we discuss these applications and the approaches that have been employed to engineer RNA-modifying machineries, and highlight persisting challenges and perspectives.

Nanopore Direct RNA Sequencing for Modified Uridine Nucleotides Yields Signals Dependent on the Physical Properties of the Modified Base

Sequencing for RNA modifications with the nanopore direct RNA sequencing platform provides ionic current levels, helicase dwell times, and base call data that differentiate the modifications from the canonical form. Herein, model RNAs were synthesized with site-specific uridine (U) base modifications that enable the study of increasing an alkyl group size, halogen identity, or a change in base acidity to impact the nanopore data. The analysis concluded that increases in alkyl size trend with greater current blockage but a similar change in base-call error was not found. The addition of a halogen series to C5 of U revealed that the current levels recorded a trend with the water-octanol partition coefficient of the base, as well as the base call error. Studies with U modifications that are deprotonated (i.e., anionic) under the sequencing conditions gave broad current levels that influenced the base call error. Some modifications led to helicase dwell time changes. These insights provide design parameters for modification-specific chemical reagents that can shift nanopore signatures to minimize false positive reads, a known issue with this sequencing approach.

Oligodeoxynucleotide Synthesis Under Non-Nucleophilic Deprotection Conditions

This protocol describes a method for the incorporation of sensitive functional groups into oligodeoxynucleotides (ODNs). The nucleophile-sensitive epigenetic N4-acetyldeoxycytosine (4acC) DNA modification is used as an example, but other sensitive groups can also be incorporated, e.g., alkyl halide, α-haloamide, alkyl ester, aryl ester, thioester, and chloropurine groups, all of which are unstable under the basic and nucleophilic deprotection and cleavage conditions used in standard ODN synthesis methods. The method uses a 1,3-dithian-2-yl-methoxycarbonyl (Dmoc) group that carries a methyl group at the carbon of the methoxy moiety (meDmoc) for the protection of exo-amines of nucleobases. The growing ODN is anchored to a solid support via a Dmoc linker. With these protecting and linking strategies, ODN deprotection and cleavage are achieved without using any strong bases and nucleophiles. Instead, they can be carried out under nearly neutral non-nucleophilic oxidative conditions. To increase the length of ODNs that can be synthesized using the meDmoc method, the protocol also describes the synthesis of a PEGylated Dmoc (pDmoc) phosphoramidite. With some of the nucleotides being incorporated with pDmoc-CE phosphoramidite, the growing ODN on the solid support carries PEG moieties and becomes more soluble, thus enabling longer ODN synthesis. The ODN synthesis method described in this protocol is expected to make many sensitive ODNs that are difficult to synthesize accessible to researchers in multiple areas, such as epigenetics, nanopore sequencing, nucleic acid-protein interactions, antisense drug development, DNA alkylation carcinogenesis, and DNA nanotechnology. © 2024 Wiley Periodicals LLC. Basic Protocol: Sensitive ODN synthesis Support Protocol 1: Synthesis of meDmoc-CE phosphoramidites Support Protocol 2: Synthesis of a pDmoc-CE phosphoramidite.

Direct Analysis of HIV mRNA m6A Methylation by Nanopore Sequencing

The post-transcriptional processing and chemical modification of HIV RNA are understudied aspects of HIV virology, primarily due to the limited ability to accurately map and quantify RNA modifications. Modification-specific antibodies or modification-sensitive endonucleases coupled with short-read RNA sequencing technologies have allowed for low-resolution or limited mapping of important regulatory modifications of HIV RNA such as N6-methyladenosine (m6A). However, a high-resolution map of where these sites occur on HIV transcripts is needed for detailed mechanistic understanding. This has recently become possible with new sequencing technologies. Here, we describe the direct RNA sequencing of HIV transcripts using an Oxford Nanopore Technologies sequencer and the use of this technique to map m6A at near single nucleotide resolution. This technology also provides the ability to identify splice variants with long RNA reads and thus, can provide high-resolution RNA modification maps that distinguish between overlapping splice variants. The protocols outlined here for m6A also provide a powerful paradigm for studying any other RNA modifications that can be detected on the nanopore platform.

An Overview of Global, Local, and Base-Resolution Methods for the Detection of 5-Hydroxymethylcytosine in Genomic DNA

The discovery of 5-hydroxymethylcytosine (5hmC) as a common DNA modification in mammalian genomes has ushered in new areas of inquiry regarding the dynamic epigenome. The balance between 5hmC and its precursor, 5-methylcytosine (5mC), has emerged as a determinant of key processes including cell fate specification, and alterations involving these bases have been implicated in the pathogenesis of various diseases. The identification of 5hmC separately from 5mC initially posed a challenge given that legacy epigenetic sequencing technologies could not discriminate between these two most abundant modifications, a significant blind spot considering their potentially functionally opposing roles. The growing interest in 5hmC, as well as in the Ten-Eleven Translocation (TET) family enzymes that catalyze its generation and further oxidation to 5-formylcytosine (5fC) and 5-carboxycytosine (5caC), has spurred the development of versatile methods for 5hmC detection. These methods enable the quantification and localization of 5hmC in diverse biological samples and, in some cases, at the resolution of individual nucleotides. However, navigating this growing toolbox of methods for 5hmC detection can be challenging. Here, we detail existing and emerging methods for the detection, quantification, and localization of 5hmC at global, locus-specific, and base resolution levels. These methods are discussed in the context of their advantages and limitations, with the goal of providing a framework to help guide researchers in choosing the level of resolution and the associated method that could be most suitable for specific needs.

Illuminating the oral microbiome and its host interactions: recent advancements in omics and bioinformatics technologies in the context of oral microbiome research

The oral microbiota has an enormous impact on human health, with oral dysbiosis now linked to many oral and systemic diseases. Recent advancements in sequencing, mass spectrometry, bioinformatics, computational biology, and machine learning are revolutionizing oral microbiome research, enabling analysis at an unprecedented scale and level of resolution using omics approaches. This review contains a comprehensive perspective of the current state-of-the-art tools available to perform genomics, metagenomics, phylogenomics, pangenomics, transcriptomics, proteomics, metabolomics, lipidomics, and multi-omics analysis on (all) microbiomes, and then provides examples of how the techniques have been applied to research of the oral microbiome, specifically. Key findings of these studies and remaining challenges for the field are highlighted. Although the methods discussed here are placed in the context of their contributions to oral microbiome research specifically, they are pertinent to the study of any microbiome, and the intended audience of this includes researchers would simply like to get an introduction to microbial omics and/or an update on the latest omics methods. Continued research of the oral microbiota using omics approaches is crucial and will lead to dramatic improvements in human health, longevity, and quality of life.

Direct sequencing of total Saccharomyces cerevisiae tRNAs by LC-MS/MS

Among RNAs, transfer RNAs (tRNAs) contain the widest variety of abundant posttranscriptional chemical modifications. These modifications are crucial for tRNAs to participate in protein synthesis, promoting proper tRNA structure and aminoacylation, facilitating anticodon:codon recognition, and ensuring the reading frame maintenance of the ribosome. While tRNA modifications were long thought to be stoichiometric, it is becoming increasingly apparent that these modifications can change dynamically in response to the cellular environment. The ability to broadly characterize the fluctuating tRNA modification landscape will be essential for establishing the molecular level contributions of individual sites of tRNA modification. The locations of modifications within individual tRNA sequences can be mapped using liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). In this approach, a single tRNA species is purified, treated with ribonucleases, and the resulting single-stranded RNA products are subject to LC-MS/MS analysis. The application of LC-MS/MS to study tRNAs is limited by the necessity of analyzing one tRNA at a time, because the digestion of total tRNA mixtures by commercially available ribonucleases produces many short digestion products unable to be uniquely mapped back to a single site within a tRNA. We overcame these limitations by taking advantage of the highly structured nature of tRNAs to prevent the full digestion by single-stranded RNA-specific ribonucleases. Folding total tRNA prior to digestion allowed us to sequence Saccharomyces cerevisiae tRNAs with up to 97% sequence coverage for individual tRNA species by LC-MS/MS. This method presents a robust avenue for directly detecting the distribution of modifications in total tRNAs.

Detection of Biological Molecules Using Nanopore Sensing Techniques

Modern biomedical sensing techniques have significantly increased in precision and accuracy due to new technologies that enable speed and that can be tailored to be highly specific for markers of a particular disease. Diagnosing early-stage conditions is paramount to treating serious diseases. Usually, in the early stages of the disease, the number of specific biomarkers is very low and sometimes difficult to detect using classical diagnostic methods. Among detection methods, biosensors are currently attracting significant interest in medicine, for advantages such as easy operation, speed, and portability, with additional benefits of low costs and repeated reliable results. Single-molecule sensors such as nanopores that can detect biomolecules at low concentrations have the potential to become clinically relevant. As such, several applications have been introduced in this field for the detection of blood markers, nucleic acids, or proteins. The use of nanopores has yet to reach maturity for standardization as diagnostic techniques, however, they promise enormous potential, as progress is made into stabilizing nanopore structures, enhancing chemistries, and improving data collection and bioinformatic analysis. This review offers a new perspective on current biomolecule sensing techniques, based on various types of nanopores, challenges, and approaches toward implementation in clinical settings.

Nanopore sequencing of internal 2'-PO4 modifications installed by RNA repair

Ligation by plant and fungal RNA ligases yields an internal 2'-phosphate group on each RNA ligation product. In budding yeast, this covalent mark occurs at the splice junction of two targets of ligation: intron-containing tRNAs and the messenger RNA HAC1 The repertoire of RNA molecules repaired by RNA ligation has not been explored due to a lack of unbiased approaches for identifying RNA ligation products. Here, we define several unique signals produced by 2'-phosphorylated RNAs during nanopore sequencing. A 2'-phosphate at the splice junction of HAC1 mRNA inhibits 5' → 3' degradation, enabling detection of decay intermediates in yeast RNA repair mutants by nanopore sequencing. During direct RNA sequencing, intact 2'-phosphorylated RNAs on HAC1 and tRNAs produce diagnostic changes in nanopore current properties and base calling features, including stalls produced as the modified RNA translocates through the nanopore motor protein. These approaches enable directed studies to identify novel RNA repair events in other contexts.

Exploring the crop epigenome: a comparison of DNA methylation profiling techniques

Epigenetic modifications play a vital role in the preservation of genome integrity and in the regulation of gene expression. DNA methylation, one of the key mechanisms of epigenetic control, impacts growth, development, stress response and adaptability of all organisms, including plants. The detection of DNA methylation marks is crucial for understanding the mechanisms underlying these processes and for developing strategies to improve productivity and stress resistance of crop plants. There are different methods for detecting plant DNA methylation, such as bisulfite sequencing, methylation-sensitive amplified polymorphism, genome-wide DNA methylation analysis, methylated DNA immunoprecipitation sequencing, reduced representation bisulfite sequencing, MS and immuno-based techniques. These profiling approaches vary in many aspects, including DNA input, resolution, genomic region coverage, and bioinformatics analysis. Selecting an appropriate methylation screening approach requires an understanding of all these techniques. This review provides an overview of DNA methylation profiling methods in crop plants, along with comparisons of the efficacy of these techniques between model and crop plants. The strengths and limitations of each methodological approach are outlined, and the importance of considering both technical and biological factors are highlighted. Additionally, methods for modulating DNA methylation in model and crop species are presented. Overall, this review will assist scientists in making informed decisions when selecting an appropriate DNA methylation profiling method.