Biology subjects

Novoa, E. M.

Publications and source records attributed to Novoa, E. M..

At least 19 recordsLinked to original sources

bioRxiv2026

Single-molecule m6A profiling reveals position-dependent mRNA regulation and non-canonical roles for Ythdf2 in early embryogenesis

The maternal-to-zygotic transition (MZT) requires coordinated clearance and deadenylation of maternally deposited mRNAs, yet the underlying molecular mechanisms remain poorly understood. N6-methyladenosine (m6A) has emerged as a key regulator of maternal mRNA fate, but prior studies have relied on population-averaged short-read methods that cannot resolve modification state, poly(A) tail length, or isoform identity on the same molecule. Here, we employ nanopore direct RNA sequencing on zebrafish embryos across MZT to resolve the interplay between m6A deposition, mRNA clearance, and poly(A) tail length dynamics at single-molecule resolution. We find that 78% of expressed maternal genes harbor m6A-modified isoforms, significantly exceeding prior bulk estimates. Within-isoform comparisons demonstrate that m6A promotes mRNA decay, with CDS m6A contributing more to maternal mRNA clearance than 3-UTR m6A. The positional context of m6A alone is sufficient to determine the temporal regulation of poly(A) tail lengths. CDS m6A constitutively suppresses tail length throughout MZT, while 3'-UTR m6A acquires shortening activity only after zygotic genome activation (ZGA). Transcriptomic analysis of ythdf2 knockout embryos reveals two unrecognized roles. Ythdf2 stabilizes m6A-marked maternal transcripts to set stoichiometry at MZT onset, and is also responsible for maintaining global poly(A) tail homeostasis prior to ZGA through an m6A-independent mechanism. Together, these findings define the single-molecule logic by which m6A modifications shape transcript fate during vertebrate MZT.

developmental biology↗

bioRxiv2026

Declines in mRNA synthesis set the rate of organismal aging

The abundance of mRNA sets a ceiling on a cells capacity to produce protein and carry out its functions. Here, we describe a pathological decline in absolute mRNA abundance that occurs in most cell types during invertebrate and mammalian aging, caused by decreases in mRNA synthesis capacity. In C. elegans, decreases in mRNA abundance are tightly coupled to declines in RNA Polymerase II (Pol II) protein abundance. Measuring Pol II abundance dynamics in vivo, we find that individuals enter adulthood with a four-fold excess of Pol II, whose kinetic equilibration towards its homeostatic set point drives reductions in mRNA abundance and, in turn, organismal aging. Briefly accelerating Pol II declines produces permanent, dose-dependent reductions in healthspan and lifespan, whereas deceleration extends both. Although disrupted cellular homeostasis is conventionally seen as a consequence of aging, our results reveal how an out-of-equilibrium state established during development provides a driving force for aging.

systems biology↗

bioRxiv2026

AMaNITA: an end-to-end workflow for native tRNA nanopore sequencing data analysis

Transfer RNA (tRNA) molecules serve as essential adapters during protein translation. While direct RNA sequencing (DRS) via Oxford Nanopore Technologies has emerged as a powerful platform for systematic tRNAome profiling, we currently lack a simple and robust statistical framework for nanopore tRNA data analyses. Here, we address this gap by developing AMaNITA (Abundance, Modifications, and Nanopore Intensity Toolbox Application), an end-to-end bioinformatic workflow that enables simplified, robust, and scalable analyses of nanopore native tRNA sequencing datasets. AMaNITA streamlines the entire analytical trajectory: from upstream processing (basecalling, mapping, filtering, batch effect correction) to downstream assessment of differential tRNA abundance and modification stoichiometry. The workflow generates an interactive HTML report for data exploration and analysis, allowing the user to download the source data files and resulting plots. AMaNITA can be executed using Singularity from the command line, without requiring installation of dependencies.

bioinformatics↗

bioRxiv2026

Host tRNA modifications drive efficient translation of influenza A virus genome and impact host antiviral stress responses

Influenza A virus (IAV), as all other viruses, is completely dependent on the host translation machinery components, including host transfer RNAs (tRNAs), to effectively decode its genome. However, while the human genome is biased towards cytosine (C) and guanosine (G)-ending codons, the IAV genome is skewed towards adenine (A) and uridine (U)-ending codons. Nevertheless, translation of IAVs RNA genome is highly efficient. Here we show that host tRNA and tRNA epitranscriptome dynamics are important regulators of IAV RNA translation and host antiviral responses. We show that the levels of several tRNA modifications, including 5-methylcarboxymethyluridine (mcm5U34) and 5-methoxycarbonylmethyl-2-thiouridine (mcm5s2U34), and their cognate writers, vary over the course of IAV infection. Additionally, we demonstrate that a set of tRNAs are preferentially recruited to ribosomes upon IAV infection, in line with IAV codon usage requirements. We further show that loss of ELP3, the catalytic subunit of the elongator complex, which is involved in the catalysis of mcm5U34 and of mcm5s2U34, induces tRNA hypomodifications, impairs translation of codon biased IAV genes and triggers the integrated stress response (ISR), interfering with IAV propagation. Taken together, our results uncover the relevance of host tRNAs and their modifications for optimal expression of viral genomes and host antiviral responses, setting the tRNA epitranscriptome as a promising target for the development of host-based antiviral therapies.

molecular biology↗

bioRxiv2026

Selective profiling of translationally active tRNAs and their dynamics under stress

During translation, transfer RNAs (tRNAs) deliver specific amino acids to the ribosome in a coordinated manner with the sequence encoded by the mRNA. Despite their central role in protein synthesis, their precise contribution to the modulation of translation remains poorly understood, primarily due to lack of methods to characterise tRNA abundances and their modifications from actively translating ribosomes. Here we develop tRIBO-seq, a simple and robust nanopore-based method to selectively capture ribosome-associated native tRNA populations (ribo-tRNAs) from actively translating ribosomes, providing tRNA abundance, modification and fragmentation information from a single experiment. Using tRIBO-seq, we find that ribo-tRNAs, but often not total tRNAs, are significantly altered upon stress. Notably, we find that tRNAome alterations strongly vary depending on the stress type: while viral infection and leucine deprivation leads to changes in ribo-tRNA abundances, methionine starvation causes a dramatic loss of methyl-based tRNA modifications. By contrast, we find that arsenite exposure does not alter tRNA abundances nor modification patterns, but rather causes major fragmentation events in selected subsets of ribo-tRNAs. Altogether, tRIBO-seq offers a robust and reproducible approach to map the full tRNA landscape -capturing tRNA abundance, modification and fragmentation patterns-, across both total and actively translating tRNA populations, revealing the dynamics of the tRNAome with unprecedented resolution, in a single experiment.

molecular biology↗

bioRxiv2025

Systematic benchmarking of basecalling models for RNA modification detection with highly multiplexed nanopore sequencing

Nanopore direct RNA sequencing (DRS) holds promise for advancing our understanding of the epitranscriptome by detecting RNA modifications in native RNA molecules. Recently, Oxford Nanopore Technologies (ONT) has released basecalling models capable of detecting several RNA modifications. However, their accuracy, sensitivity and specificity, as well as cross-reactivity against other modification types, remains largely unexplored. Here, we systematically benchmark modification-aware models by evaluating their performance on a highly-multiplexed panel of synthetic molecules covering all possible sequence contexts, as well as on biological samples from a diverse set of species. We find that modification-aware models reliably detect diverse RNA modification types across a broad range of sequence contexts. However, they are prone to elevated false positive rates and exhibit notable cross-reactivity with other RNA modification types. We show that the use of modification-free controls allows significant, yet incomplete removal of false positives, thus constituting an essential control. Finally, we demonstrate that basecalling error patterns and alterations in current features can identify differentially modified sites, for modifications for which modification-aware models are absent. Overall, our results underscore the utility and accuracy of modification-aware basecalling models for RNA modification detection, while highlighting the importance of including diverse control samples to mitigate false positive rates.

bioinformatics↗

bioRxiv2025

Long-read transcriptome-wide RNA structure maps using DMS-FIRST-seq

RNA modifications induce reverse transcription (RT) errors in an enzyme- and context-dependent manner, enabling transcriptome-wide mapping and RNA structure probing. We present FIRST-seq, a flexible, cost-effective nanopore cDNA method that avoids second-strand synthesis and PCR, making it compatible with any RT enzyme and enabling single-nucleotide resolution RT signature analysis. Benchmarking multiple RT enzymes and buffers identified conditions that reduce premature termination and enhance error detection. Coupled with DMS probing, FIRST-seq accurately detects m1A and m3C at unpaired sites, recapitulating known RNA structures in vitro and in vivo. FIRST-seq offers a versatile platform for profiling chemical-induced and natural RNA modifications using long-read sequencing.

molecular biology↗

bioRxiv2024

Nano3P-seq: charting the coding and non-coding transcriptome at single molecule resolution

RNA polyadenylation is crucial for RNA maturation, stability and function, with polyA tail lengths significantly influencing mRNA translation, efficiency and decay. Here, we provide a step-by-step protocol to perform Nanopore 3 end-capture sequencing (Nano3P-seq), a nanopore-based cDNA sequencing method to simultaneously capture RNA abundances, tail composition and tail length estimates at single-molecule resolution. Taking advantage of a template switching-based protocol, Nano3P-seq can sequence any RNA molecule from its 3 end, regardless of its polyadenylation status, without the need for PCR amplification or RNA adapter ligation. We provide an updated Nano3P-seq protocol that is compatible with R10.4 flowcells, as well as compatible software for polyA tail length and content prediction, which we term PolyTailor. We demonstrate that PolyTailor provides accurate estimates of transcript abundances, tail lengths and content information, while capturing both coding and non-coding RNA biotypes, including mRNAs, snRNAs, and rRNAs. This method can be applied to any RNA sample of interest (e.g. poly(A)-selected, ribodepleted, total RNA), and can be completed in one day. The Nano3P-seq protocol can be performed by researchers with moderate experience in molecular biology techniques and nanopore sequencing library preparation, and basic knowledge of linux bash syntax and R programming. This protocol makes Nano3P-seq accessible and easy to implement by future users aiming to study the tail dynamics and heterogeneity of both coding and non-coding transcriptome in a comprehensive and reproducible manner. Key PapersBe[g]ik O, Diensthuber G, Liu H, Delgado-Tejedor A, Kontur C, Niazi AM, Valen E, Giraldez AJ, Beaudoin JD, Mattick JS, Novoa EM. Nano3P-seq: transcriptome-wide analysis of gene expression and tail dynamics using end-capture nanopore cDNA sequencing. Nature Methods 20, 75-85 (2023). https://doi.org/10.1038/s41592-022-01714-w Delgado-Tejedor A, Medina M, Begik O, Cozzuto L, Lopez J, Blanco B, Ponomarenko J, Novoa EM. Native RNA nanopore sequencing reveals antibiotic-induced loss of rRNA modifications in the A- and P-sites. NatComm 15, 10054 (2024). https://doi.org/10.1038/s41467-024-54368-x

molecular biology↗

bioRxiv2024

SeqTagger, a rapid and accurate tool to demultiplex direct RNA nanopore sequencing datasets

Nanopore direct RNA sequencing (DRS) enables direct measurement of RNA molecules, including their native RNA modifications, without prior conversion to cDNA. However, commercial methods for molecular barcoding of multiple DRS samples are lacking, and community-driven efforts, such as DeePlexiCon, are not compatible with newer RNA chemistry flowcells and the latest-generation GPU cards. To overcome these limitations, we introduce SeqTagger, a rapid and robust method that can demultiplex direct RNA sequencing datasets with 99% precision and 95% recall. We demonstrate the applicability of SeqTagger in both RNA002/R9.4 and RNA004/RNA chemistries and show its robust performance both for long and short RNA libraries, including custom libraries that do not contain standard poly-(A) tails, such as Nano-tRNAseq libraries. Finally, we demonstrate that increasing the multiplexing up to 96 barcodes yields highly accurate demultiplexing models. SeqTagger can be executed in a standalone manner or through the MasterOfPores NextFlow workflow. The availability of an efficient and simple multiplexing strategy improves the cost-effectiveness of this technology and facilitates the analysis of low-input biological samples.

genomics↗

bioRxiv2024

Epitranscriptomic rRNA fingerprinting reveals tissue-of-origin and tumor-specific signatures

Mammalian ribosomal RNA (rRNA) molecules are highly abundant RNAs, decorated with over 220 rRNA modifications. Previous works have shown that some rRNA modification types can be dynamically regulated; however, how and when the mammalian rRNA modification landscape is remodeled remains largely unexplored. Here, we employ direct RNA nanopore sequencing to chart the human and mouse rRNA epitranscriptome across tissues, developmental stages, cell types and disease. Our analyses reveal multiple rRNA sites that are differentially modified in a tissue- and/or developmental stage-specific manner, including previously unannotated modified sites. We demonstrate that rRNA modification patterns can be used for tissue and cell type identification, which we hereby term epitranscriptomic fingerprinting. We then explore rRNA modification patterns in normal-tumor matched samples from lung cancer patients, finding that epitranscriptomic fingerprinting accurately classifies clinical samples into normal and tumor groups from only 250 reads per sample, demonstrating the potential of rRNA modifications as diagnostic biomarkers.

molecular biology↗

bioRxiv2024

Unbiased functional genetic screens reveal essential RNA modifications in human cancer and drug resistance

RNA modification pathways are mis-regulated in multiple types of human cancer. To comprehensively identify cancer-relevant RNA modifications and their regulators, we screened all 150 annotated human RNA modifying proteins across 18 different normal and cancer cell lines using a CRISPR-based genetic knockout system. Fifty RNA modifying proteins were essential for survival of at least one cell type. A third of these essential genes were amplified in 38 different human primary cancer types and potentially drive cancer growth. Unexpectedly, the number of essential genes per cell line varied considerably, and this variation was not due to tissue of origin. Instead, we found that cancer cell-specific mitochondrial metabolic plasticity was responsible for the unique requirement of certain RNA modifications. For example, leukemia cells with high intrinsic drug tolerance required mitochondrial flexibility to survive treatment with the anti-leukemic drugs cytarabine and venetoclax. Synthetic lethality screens revealed that drug-resistance is abolished by deleting the mitochondrial methyltransferase TRMT5, which is responsible for the formation of N1-methylguanosine (m1G) in the tRNA anticodon loop. In summary, our study identifies cancer-relevant RNA modifying enzymes, and reveals a novel promising drug target for therapy-resistant acute myeloid leukemia.

cell biology↗

bioRxiv2023

Enhanced detection of RNA modifications and mappability with high-accuracy nanopore RNA basecalling models

In recent years, nanopore direct RNA sequencing (DRS) has established itself as a valuable tool for studying the epitranscriptome, due to its ability to detect multiple modifications within the same full-length native RNA molecules. While RNA modifications can be identified in the form of systematic basecalling errors in DRS datasets, N6-methyladenosine (m6A) modifications produce relatively low errors compared to other RNA modifications, limiting the applicability of this approach to m6A sites that are modified at high stoichiometries. Here, we demonstrate that the use of alternative RNA basecalling models, trained with fully unmodified sequences, increases the error signal of m6A, leading to enhanced detection and improved sensitivity even at low stoichiometries. Moreover, we find that high-accuracy alternative RNA basecalling models can show up to 97% median basecalling accuracy, outperforming currently available RNA basecalling models, which show 91% median basecalling accuracy. Notably, the use of high-accuracy basecalling models is accompanied by a significant increase in the number of mapped reads -especially in shorter RNA fractions- and increased basecalling error signatures at pseudouridine ({Psi}) and N1-methylpseudouridine (m1{Psi}) modified sites. Overall, our work demonstrates that alternative RNA basecalling models can be used to improve the detection of RNA modifications, read mappability and basecalling accuracy in nanopore DRS datasets.

genomics↗

bioRxiv2023

De novo basecalling of m6A modifications at single molecule and single nucleotide resolution

RNA modifications hold pivotal roles in shaping the fate and function of RNA molecules. Although nanopore sequencing technologies have proven successful at transcriptome-wide detection of RNA modifications, current algorithms are limited to predicting modifications at a per-site level rather than within individual RNA molecules. Herein, we introduce m6ABasecaller, an innovative method enabling direct basecalling of m6A modifications from raw nanopore signals within individual RNA molecules. This approach facilitates de novo prediction of m6A modifications with precision down to the single nucleotide and single molecule levels, without the need of paired knockout or control conditions. Using the m6ABasecaller, we find that the median transcriptome-wide m6A modification stoichiometry is [~]10-15% in human, mouse and zebrafish. Furthermore, we show that m6A modifications affect polyA tail lengths, exhibit a propensity for co-occurrence within the same RNA molecules, and show relatively consistent stoichiometry levels across isoforms. We further validate the m6ABasecaller by treating mESC with increasing concentrations of STM2457, a METTL3 inhibitor as well as in inducible METTL3 knockout systems. Overall, this work demonstrates the feasibility de novo basecalling of m6A modifications, opening novel avenues for the application of nanopore sequencing to samples with limited RNA availability and for which control knockout conditions are unavailable, such as patient-derived samples.

molecular biology↗

bioRxiv2023

N6-methyladenosine modification is not a general trait of viral RNA genomes

Despite the nuclear localization of the m6A machinery, the genomes of multiple exclusively-cytoplasmic RNA viruses, such as chikungunya (CHIKV) and dengue (DENV), are reported to be extensively m6A-modified. However, these findings are mostly based on m6A-seq, an antibody-dependent technique with a high rate of false positives. Here, we addressed the presence of m6A in CHIKV and DENV RNAs. For this, we combined m6A-seq and the antibody-independent SELECT and nanopore direct RNA sequencing techniques with functional, molecular, and mutagenesis studies. Following this comprehensive analysis, we found no evidence of m6A modification in CHIKV or DENV transcripts. Furthermore, depletion of key components of the host m6A machinery did not affect CHIKV or DENV infection. Moreover, CHIKV or DENV infection had no effect on the m6A machinerys localization. Our results challenge the prevailing notion that m6A modification is a general feature of cytoplasmic RNA viruses and underscore the importance of validating RNA modifications with orthogonal approaches.

microbiology↗

bioRxiv2023

Comprehensive map of ribosomal 2'-O-methylation and C/D box snoRNAs in Drosophila melanogaster

During their maturation, ribosomal RNAs (rRNAs) are decorated by hundreds of chemical modifications that participate in proper folding of rRNA secondary structures and therefore in ribosomal function. Along with pseudouridine, methylation of the 2'-hydroxyl ribose moiety (Nm) is the most abundant modification of rRNAs. The majority of Nm modifications in eukaryotes are placed by Fibrillarin, a conserved methyltransferase belonging to a ribonucleoprotein complex guided by C/D box small nucleolar RNAs (C/D box snoRNAs). These modifications impact interactions between rRNAs, tRNAs and mRNAs, and some are known to fine tune translation rates and efficiency. In this study, we built the first comprehensive map of Nm sites in Drosophila melanogaster rRNAs using two complementary approaches (RiboMethSeq and Nanopore direct RNA sequencing) and identified their corresponding C/D box snoRNAs by whole-transcriptome sequencing. We de novo identified 61 Nm sites, from which 55 are supported by both sequencing methods, we validated the expression of 106 C/D box snoRNAs and we predicted new or alternative rRNA Nm targets for 31 of them. Comparison of methylation level upon different stresses show only slight but specific variations, indicating that this modification is relatively stable in D. melanogaster. This study paves the way to investigate the impact of snoRNA-mediated 2'-O-methylation on translation and proteostasis in a whole organism.

molecular biology↗

bioRxiv2023

Native RNA nanopore sequencing reveals antibiotic-induced loss of rRNA modifications in the A- and P-sites

The biological relevance and dynamics of mRNA modifications have been extensively studied in the past few years, revealing their key roles in major cellular processes, such as cellular differentiation or sex determination. However, whether rRNA modifications are dynamically regulated, and under which conditions, remains largely unclear. Here, we performed a systematic characterization of bacterial rRNA modification dynamics upon exposure to diverse antibiotics using native RNA nanopore sequencing. To identify significant rRNA modification changes, we developed NanoConsensus, a novel pipeline that integrates the estimates from multiple RNA modification detection algorithms, predicting differentially modified rRNA sites with very low false positive rates and high replicability. We showed that NanoConsensus is robust across RNA modification types, stoichiometries and coverage, and outperforms all individual algorithms tested. Using this approach, we identified multiple rRNA modifications that are lost upon the presence of antibiotics, showing that rRNA modification profiles are altered in an antibiotic-specific manner. We found that significantly altered rRNA modified sites upon antibiotic exposure are located in the vicinity of the A and P-sites of the ribosome, possibly contributing to antibiotic resistance. We then systematically examined whether loss of antibiotic-sensitive rRNA modifications may be sufficient to confer antibiotic resistance, finding that depletion of some rRNA modification enzymes guiding dysregulated rRNA modifications confers increased antibiotic resistance. Altogether, our work reveals that rRNA modification profiles can be rapidly altered in response to environmental exposures, and that nanopore sequencing can accurately identify dysregulated rRNA modifications, contributing to the mechanistic dissection of antibiotic resistance. Moreover, we provide a novel, robust workflow to study rRNA modification dynamics in any species using nanopore sequencing in a scalable and reproducible manner.

microbiology↗

bioRxiv2021

RPL3L-containing ribosomes modulate mitochondrial activity in the mammalian heart

The existence of naturally occurring ribosome heterogeneity is now a well-acknowledged phenomenon. However, whether this heterogeneity leads to functionally diverse specialized ribosomes is still a controversial topic. Here, we explore the biological function of RPL3L (uL3L), a ribosomal protein (RP) paralog of RPL3 (uL3) that is exclusively expressed in muscle and heart tissues, by generating a viable homozygous Rpl3l knockout mouse strain. We identify a rescue mechanism in which, upon RPL3L depletion, RPL3 becomes upregulated, yielding RPL3-containing ribosomes instead of RPL3L-containing ribosomes that are typically found in cardiomyocytes. Using both ribosome profiling (Ribo-Seq) and a novel orthogonal approach consisting of ribosome pulldown coupled to nanopore sequencing (Nano-TRAP), we find that RPL3L neither modulates translational efficiency nor ribosome affinity towards a specific subset of transcripts. By contrast, we show that depletion of RPL3L leads to increased ribosome-mitochondria interactions in cardiomyocytes, which is accompanied by a significant increase in ATP levels, potentially as a result of mitochondrial activity fine-tuning. Our results demonstrate that the existence of tissue-specific RP paralogs does not necessarily lead to enhanced translation of specific transcripts or modulation of translational output. Instead, we reveal a complex cellular scenario in which RPL3L modulates the expression of RPL3, which in turn affects ribosomal subcellular localization and, ultimately, mitochondrial activity.

molecular biology↗

bioRxiv2021

Nano3P-seq: transcriptome-wide analysis of gene expression and tail dynamics using end-capture nanopore sequencing

RNA polyadenylation plays a central role in RNA maturation, fate, and stability. In response to developmental cues, polyA tail lengths can vary, affecting the translation efficiency and stability of mRNAs. Here, we develop Nanopore 3 end-capture sequencing (Nano3P-seq), a novel method that relies on nanopore cDNA sequencing to simultaneously quantify RNA abundance, tail composition and tail length dynamics at per-read resolution. By employing a template switching-based sequencing protocol, Nano3P-seq can sequence any given RNA molecule from its 3 end, regardless of its polyadenylation status, without the need for PCR amplification or ligation of RNA adapters. We demonstrate that Nano3P-seq captures a wide diversity of RNA biotypes, providing quantitative estimates of RNA abundance and tail lengths in mRNA, lncRNA, sn/snoRNA, scaRNA, and rRNA molecules. We find that, in addition to mRNA and lncRNA, polyA tails can be identified in 16S mitochondrial rRNA in both mouse and zebrafish models. Moreover, we show that mRNA tail lengths are dynamically regulated during vertebrate embryogenesis at an isoform-specific level, correlating with mRNA decay. Finally, we identify non-A bases within polyA tails of various lengths and reveal their distribution during vertebrate embryogenesis. Overall, Nano3P-seq is a simple and robust method for accurately estimating transcript levels, tail lengths, and tail composition heterogeneity in individual reads, with minimal library preparation biases, both in the coding and non-coding transcriptome.

molecular biology↗