Your new experience awaits. Try the new design now and help us make it even better

BRIEF RESEARCH REPORT article

Front. Mol. Biosci., 28 July 2025

Sec. RNA Networks and Biology

Volume 12 - 2025 | https://doi.org/10.3389/fmolb.2025.1593637

AvaII senses m6A and inosine sites and enables targeted nanopore direct RNA-sequencing

Isabel S. Naarmann-De Vries,
Isabel S. Naarmann-De Vries1,2*Tim PreissendrferTim Preissendörfer3Julian Knig,Julian König3,4Christoph Dieterich,Christoph Dieterich1,2
  • 1Klaus Tschira Institute for Integrative Computational Cardiology, Department of Internal Medicine III, University Hospital Heidelberg, Heidelberg, Germany
  • 2German Center for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
  • 3Institute of Molecular Biology (IMB), Mainz, Germany
  • 4Theodor Boveri Institute, Biocenter, University of Würzburg, Würzburg, Germany

Nanopore direct RNA-sequencing is the first commercialized method to sequence native RNA directly, thus preserving RNA modifications. With the current technology, sequencing is initiated from the 3′end. While for relatively short polyadenylated RNAs, full coverage is obtained, the 5′end of many long RNAs is not sufficiently covered resulting in a substantial 3′bias. We aimed to cleave such RNAs in a sequence-specific manner in order to generate new unique 3′ends that can be targeted by custom adapters. We identified the DNA endonuclease AvaII as a candidate enzyme. AvaII was originally described to cleave double-stranded DNA at GGWCC sites, where W is an A or T. Here, we show that AvaII cleaves also long RNAs in GGACC contexts, if hybridized to a complementary DNA oligo. Furthermore, we provide evidence that AvaII cleavage of RNA is modification sensitive and does not cleave RNA with m6A or inosine in the central position. We propose AvaII as “methylation sensor” for the bona fide DRACH recognition motif GGACC of the m6A writer complex. Finally, we show that AvaII cleavage products are accessible to targeted Nanopore direct RNA-sequencing.

1 Introduction

Nanopore direct RNA-sequencing (DRS) is state-of-the-art to analyze gene expression on isoform level and identify RNA modifications (Diensthuber and Novoa, 2025; Pardo-Palacios et al., 2024). While the method gains increasing importance, it still has technical limitations. One of these limitations is the sequencing start from the 3′end targeting the polyA tail with still limited read length. Here, the limitations may arise either from RNA degradation or failure of the motor protein to processively feed such long molecules through the pore. Consequently, many long cellular RNAs cannot be assessed completely. The current median read length in human whole transcriptome analysis is about 2 kb. On another avenue, one might not be interested in sequencing the whole mRNA transcriptome in specific cases. One possible use case is the analysis of reporter constructs in large screens, such as siRNA screens. Here, it would be advantageous to focus the sequencing capacity on the molecules of interest in multiplexed libraries (Pryszcz et al., 2025; Toorn et al., 2024).

To address these obstacles, we aimed to develop a sequence-specific RNA cleavage tool. The generated products may then be targeted by custom adapters, which can be either specific for a reporter RNA or initiate sequencing in the 5′region of an mRNA. Initial screenings excluded RNase H and the DNA endonuclease TaqI for this purpose. While the RNase H generated products with the tested cleavage oligos were too heterogeneous for efficient custom adapter ligation, TaqI was only active under conditions that resulted in non-specific RNA degradation (data not shown).

It is a longstanding idea that DNA endonucleases can be “off label” also used to cleave RNA. Usually cleavage is here induced by annealing of a reverse complementary DNA strand (Murray et al., 2010). Among the DNA endonucleases with RNA endonuclease activity, AvaII was the most promising candidate. AvaII cleaves RNA in the degenerate consensus sequence GGWCC, where W may be an A or T in the case of a DNA substrate (Murray et al., 1976).

Here, we show that AvaII cleaves RNA efficiently in GGACC, but not GGUCC or GGICC contexts (I = inosine). GGACC is one of the top m6A modified DRACH motifs in humans (Liu et al., 2023). Therefore, we tested if AvaII cleavage is dependent on the modification status. We find that AvaII cleaves RNA only in unmodified sequences, but not in m6A-methylated sites. Thus, AvaII can be used as a tool to validate the methylation status of GGACC DRACH motifs. Finally, we show that AvaII cleaved RNAs can be targeted with custom adapters for DRS.

2 Methods

2.1 Generation of in vitro transcripts (IVTs)

Generation of the IVTs used in this study has been described previously. IVT1 is the human 18S rRNA (Naarmann-de Vries et al., 2023). IVT2 encodes for Firefly luciferase and has been described previously (Liepelt et al., 2014). Ctrl 2 (Boileau et al., 2021) has been described previously. Ctrl 1 was amplified from pcDNA6 with primers listed in Supplementary Table S2. The templates for all IVTs carry a T7 promoter and were transcribed using the T7 MegaScript kit (Thermo Fisher Scientific) and purified with RNA-Clean and Concentrator-25 kit (Zymo Research). The integrity of the IVTs was analyzed on agarose or TBE urea gels.

2.2 Culture of HEK293 cells and isolation of HEK293 total RNA

HEK293 cells were obtained from the DSMZ–German Collection of Microorganisms and Cell Cultures GmbH (ACC 305) and kept in DMEM (Thermo Fisher Scientific) supplemented with 10% fetal bovine serum (Merck) and 1x penicillin/streptomycin (Thermo Fisher Scientific) at 37°C, 5% CO2. RNA was isolated with Trizol (Thermo Fisher Scientific) according to the manufacturer’s instructions. Purity and integrity of the isolated RNA were assessed by Nanodrop (Thermo Fisher Scientific) and on Fragment Analyzer (Agilent) measurements.

2.3 Titration of AvaII magnesium concentration

The magnesium requirement of AvaII was assessed by cleavage of a DNA substrate (pXR003, Addgene #109053). 500 ng plasmid were digested in a total volume of 20 µL with 1 µL AvaII (New England Biolabs) in different buffers for 15 min at 37°C. A control reaction in the provided rCutSmart buffer was performed in parallel. The other reactions were incubated in 50 mM NaCl, 20 mM Tris pH 8.0 (basic buffer) supplemented with 0.5 mM–10 mM MgCl2 as indicated. Reactions were analyzed on a 1% agarose gel.

2.4 AvaII RNA cleavage of IVTs

1 µg IVT was annealed to 10 pmol cleavage oligo (Supplementary Table S1) in 10 mM Tris pH 7.5, 50 mM NaCl in a total volume of 20 µL (2 min, 95°C; 0.1 °C/s to 22°C; 5 min, 22°C). Reactions were then adjusted to 50 µL total volume with basic buffer supplemented with 0.5 mM MgCl2 and 1 µL AvaII. If not otherwise indicated, reactions were incubated overnight at 37°C. Reactions were cleaned up by addition of 1.8x RNA Clean XP beads (Beckman Coulter) (incubation 15 min on ice). After collecting the beads on a magnetic rack, beads were washed two times with 80% ethanol and eluted in 10 µL H2O. Reactions were analyzed on 1% agarose gels. For the experiment in Supplementary Figure S2 and the time course (Figures 1D,E), 250 ng ctrl 2 (80 nt) were added to the annealing step and 50 ng ctrl 1 (400 nt) were added directly before the addition of the RNA Clean XP beads. The uncleaved RNA was incubated overnight at 37°C as well. Band intensities of full length IVT1, ctrl 1 and ctrl 2 were measured with ImageJ. The relative amount of full length IVT2 was calculated normalized to ctrl 1+ctrl 2. Lane profiles were received from ImageJ.

Figure 1
Diagram shows RNA experiments. Panel A lists IVT oligos with expected patterns and cleavage sites. B displays gel electrophoresis for IVT samples 1 and 2. C shows gel results over time with AvaII. D is a bar graph showing relative intensity of cleaved versus uncleaved RNA over time. E is Quantitative line graph of gel intensities over distance in pixels for different incubation time points.

Figure 1. Test of AvaII cleavage in different sequence contexts and optimization of cleavage conditions. (A) Cleavage of RNA by AvaII was analyzed employing two IVTs (IVT1 = green, IVT2 = blue) and four DNA oligos (a-d) for targeting. The AvaII cleavage site is indicated by an arrow (red = central A, gray = central U) and the size of the expected cleavage products is given. The RNA sequence at the cleavage site is depicted on the right, the sequence of the corresponding cleavage oligo is listed in Supplementary Table S1. The recognition site is marked in bold, and the central variable nucleotide underlined. (B) IVT1 and IVT2 were annealed to the respective cleavage oligo and subjected to AvaII cleavage (16 h reaction time). Reaction products were analyzed on a 1% agarose gel. The quantitative analysis of oligo a and b cleavage is presented in Supplementary Figures S2A–C. (C–E) Time course of IVT1 cleavage with AvaII and oligo a. (C) Representative time course analyzed on a 1% agarose gel. (D) The band intensities of the uncleaved IVT 1 (dark gray) and the cleavage products (red) were quantified and normalized to ctrl 1 and ctrl 2 (see Supplementary Material) and expressed as relative intensity, where the sum of cleaved and uncleaved was defined at 100% (n = 3). (E) Mean of lane profiles for IVT1 and the cleavage products (n = 3).

2.5 AvaII cleavage in HEK293 total RNA

2 µg total RNA was annealed to 100 pmol cleavage oligo (Supplementary Table S1) in 10 mM Tris pH 7.5, 50 mM NaCl in a total volume of 20 µL (2 min, 95°C; 0.1 °C/s to 22°C; 5 min, 22°C). Reactions were then adjusted to 50 µL total volume with basic buffer supplemented with 0.5 mM MgCl2 and 2 µL AvaII. Reactions were incubated overnight at 37°C and cleaned up as described above. Identical RNA volumes were reverse transcribed with Maxima H Minus cDNA synthesis kit (Thermo Fisher Scientific) and Random primers. Regions covering the targeted m6A cleavage sites (see Figure 2B) were amplified by RT-qPCR using PowerUp SYBRgreen master mix (Thermo Fisher Scientific) on a ViiA7 instrument (Thermo Fisher Scientific). Levels were normalized to ACTB and a control reaction without cleavage oligo. All qPCR primers are listed in Supplementary Table S2.

Figure 2
Panel A shows a gel electrophoresis result for RNA-DNA interactions, with labels indicating RNA, DNA, and the presence of AvaII enzyme across lanes one to twelve. Panel B illustrates a gene diagram for MRPS2-201 with two marked sites. Panel C presents a bar graph comparing relative MRPS2 expression at two primer sites, showing variation in percentage at methylated adenine sites six point four and sixty-nine point seven.

Figure 2. AvaII cleavage is dependent on the modification status. (A) 5′Cy5.5-labeled RNA oligos with an AvaII recognition site bearing different central nucleotides as indicated were subjected to AvaII cleavage with complementary DNA oligo bearing different central nucleotides in the AvaII recognition motif. Cleavage reactions were analyzed on 15% TBE urea gels. Replicate analysis and quantification are presented in Supplementary Figure S3. (B) Schematic representation of the MRPS2-201 transcript. The lowly methylated m6A site 1 is marked with a turquoise star and the highly methylated m6A site 2 with a dark red star. Both m6A sites are in GGACC contexts. See Supplementary Table S1 for the reverse complementary AvaII cleavage oligos. Integrity of the respective sites was detected by RT-qPCR analysis (C) with a forward primer binding upstream of the m6A site and a reverse primer covering the cleavage site (black = site 1, gray = site 2). (B) Two GGACC sites in MRPS2 in HEK293 RNA were targeted with AvaII. According to GLORI and DRS analysis, site 1 (turquoise) is lowly methylated, whereas site 2 (dark red) is highly methylated. Cleavage efficiency for each targeted site was assessed by RT-qPCR analysis.

2.6 Nanopore direct RNA-sequencing of AvaII cleaved RNA

IVT1 was cleaved with oligo a as described above. The library was prepared with two custom adapters as described in (Naarmann-de Vries et al., 2023) using the SQK-RNA002 kit and sequenced on a Flongle flow cell (FLO-FLG001). Custom adapter 1 targets the 3′end (Naarmann-de Vries et al., 2023) and custom adapter 2 targets the AvaII generated end (sequence specific oligo B: GAGGCGAGCGGTCAATTTTCCTAAGAGCAAGAAGAAGCCCTATTCCATT). Basecalling was performed with Guppy 6.5.7 in High-accuracy mode (HAC) and data were aligned to the human 18S rRNA reference (NR_003286.4) with minimap2. Data were visualized in Integrative Genomics Viewer (IGV).

2.7 RNA oligo cleavage assay

RNA oligos with a length of 48 nts and a 5′Cy5.5 fluorophore were purchased from GenScript. The basic sequence with a GGACC AvaII recognition motif was derived from (Murray et al., 2010). In additional oligos, the central nucleotide was replaced by U, m6A and inosine. All RNA oligos are listed in Supplementary Table S3. 20 pmol RNA oligo was combined with 20 pmol DNA oligo (Supplementary Table S1) as indicated and incubated in 1x rCutSmart buffer (New England Biolabs) with 1 µL AvaII overnight at 37°C in a total volume of 50 µL. 10 μL of the reaction was combined with 1 Vol TBE-urea sample buffer (Thermo Fisher Scientific) and denatured (10 min, 65°C; 2 min, ice). Samples were loaded to a 15% Novex TBE urea PAGE and monitored at a Licor Odyssey XF instrument (LI-COR Biosciences).

3 Results

3.1 AvaII can be directed to cleave RNA in GGACC sequence contexts

We selected the DNA endonuclease AvaII, as its capacity to cleave RNA was shown previously (Jo et al., 2022; Murray et al., 2010). Standard DNA endonuclease reactions contain high concentrations of divalent cations, more specifically magnesium. For instance, the rCutSmart buffer provided by New England Biolabs contains 10 mM magnesium acetate. Such high magnesium concentrations cause rapid degradation of RNA, especially at elevated temperatures, which is widely used to fragment RNA for short-read sequencing approaches. To avoid such reaction conditions and obtain intact RNA suitable for DRS, we first optimized the AvaII reaction buffer to reduce the magnesium concentration and subsequently non-specific RNA degradation. With a classical plasmid as DNA substrate, we found that the cleavage of DNA with 0.5 mM MgCl2 was as efficient as with 10 mM MgCl2 (Supplementary Figure S1) and used a buffer with 0.5 mM MgCl2 throughout.

So far, the capacity of AvaII to cleave RNAs has been mainly tested on artificial substrates (Jo et al., 2022; Kisiala et al., 2020; Murray et al., 2010). We initially assessed AvaII cleavage on natural sequences within two GGACC and two GGUCC sequence contexts using in vitro transcribed RNAs (IVT1 and IVT2, see Methods). For every cleavage site, a reverse complementary DNA oligos with a length of 40 nucleotides was annealed to the respective RNA. The IVT-oligo combinations, expected cleavage products and sequence contexts at the cleavage site are shown in Figure 1A. All cleavage reactions, including an uncleaved control (IVT in H2O, same incubation time and temperature), were analyzed on agarose gels. Interestingly, we detected efficient AvaII cleavage in GGACC sequence contexts, but not GGUCC sequence contexts (Figure 1B). We noticed however some non-specific degradation in the presence of the GGUCC oligos. To exclude that this degradation is induced by insufficient probe specificity, we performed a quantitative analysis for oligos a and b, and also included a control reaction without DNA oligo (Supplementary Figure S2A). This analysis revealed a certain extent of non-specific RNA decay, presumably induced by the magnesium in the reaction (Supplementary Figures S2B, C), however no insufficient probe specificity. We analyzed whether shorter reaction times could improve increase RNA integrity, but a time course experiment using IVT1 and oligo a revealed that the most efficient cleavage was detected after overnight incubation (Figures 1C–E). We noticed a minor fraction of 7.6% IVT1 that was resistant to AvaII cleavage (Figure 1D). However, neither an increase in the amount of DNA oligo nor enzyme further improved cleavage (data not shown).

3.2 AvaII cleavage is modification sensitive

As GGACC is one of the most abundantly m6A methylated DRACH motifs, and uridine is not tolerated as central nucleotide, we speculated that AvaII cleavage of RNA might be modification sensitive and in particular m6A methylation sensitive. To test this hypothesis, 5′Cy5.5-labeled RNA oligos of 48 nucleotides length with different central nucleotides in the GGxCC AvaII recognition motif were digested with different complementary DNA oligos (Figure 2A). As expected, we detected significant cleavage with the pair A(RNA):T(DNA) (Figure 2A; Supplementary Figure S3). The presence of either m6A or inosine blocked AvaII cleavage, comparable to U (Figure 2A; Supplementary Figure S3).

As this artificial test system does not reflect the abundance and level of endogenous m6A sites, we analyzed AvaII cleavage at endogenous target sites in HEK293 cells. Based on DRS analysis employing mAFiA (Chan et al., 2024) and glyoxal and nitrite-mediated deamination of unmethylated adenosines (GLORI) (Liu et al., 2023), we selected MRPS2 as target, which has two m6A sites in a GGACC context: site 1 is lowly methylated (6.4% according to mAFiA) and site 2 is highly methylated (69.7% according to mAFiA) (Chan et al., 2024; Figure 2B). We designed cleavage oligos for both sites and set up three reactions: “minus oligo”, “site 1 oligo” and “site 2 oligo”. The integrity of the targeted site was checked in RT-qPCR with primers spanning the respective region. This analysis revealed that site 1 was efficiently cleaved by “site 1 oligo”, but not “site 2 oligo”. On the other hand, site 2 oligo induced only moderate cleavage at site 2 and no cleavage at site 1. Overall, this analysis revealed a good correlation (Supplementary Table S4) between methylation level determined by other methods and non-cleaved target (Figure 2C). Nonspecific cleavage by site 1 oligo at site 2 and vice versa is not detected. Based on this observation we propose AvaII as modification, and especially m6A methylation sensor in GGACC contexts in cellular RNA.

3.3 Cleavage products can be targeted for DRS

Selective direct RNA sequencing of the generated cleavage products (for example a 5′fragment of a long cellular RNA) is only possible after ligation of a sequence specific adapter. T4 DNA ligase, which is used for this ligation requires a nicked template and does not tolerate gaps or flaps. Thus, an exactly defined cleavage site is required to design the appropriate custom adapter. Our initial screens excluded broadly used RNase H and the DNA endonuclease TaqI for this task (data not shown). As a proof-of-principle, we designed a custom adapter for IVT1 cleaved in presence of DNA oligo a (see Figure 1), and subjected the cleavage products to DRS library preparation, with two custom adapters: the first adapter targets the natural 3′end, whereas the second adapter targets the newly generated 3′end (Figure 3A). This test revealed that AvaII cleaved RNAs can be sequenced specifically by DRS (Figure 3B), which opens up novel opportunities in design of DRS experiments.

Figure 3
Diagram with two panels. Panel A shows a linear structure labeled

Figure 3. AvaII cleaved RNAs can be targeted for DRS with custom adapters. (A) Experimental design: IVT1 was subjected to AvaII cleavage with oligo a. Purified RNA was used to prepare a DRS library with two custom adapters (indicated in dark and mid blue). Adapter 1 (mid blue) targets the natural 3′end, whereas adapter 2 (dark blue) targets the newly generated end. (B) Visualization of the DRS data with IGV. The coverage track of all reads aligning to the IVT1 reference sequence is shown. Gray bars represent positions that match the reference sequence, mismatched positions are shown colored (green = A, red = T, blue = C, orange = G, allele frequency threshold = 0.2).

4 Discussion

In this work, we present the DNA endonuclease AvaII as modification and especially m6A methylation sensor. Directed by an antisense DNA oligonucleotide, AvaII specifically cleaves non-modified GGACC sites in a complex mixture of cellular RNAs. m6A sites in this context are not cleaved. Thus, AvaII cleavage can be applied as an orthogonal method for validation of m6A sites identified by other (high throughput) methods. We are aware of the limitations of the current method, as cleavage is limited to only one of 18 DRACH motifs and inhibited by the presence of inosine as well. We propose the screening of other DNA endonucleases to identify more enzymes that cleave RNA dependent on the modification status. Furthermore, the sequence specificity of AvaII may be changed to other DRACH motifs by protein engineering approaches as directed evolution.

As a second use case, we show that AvaII cleaved RNAs can be targeted specifically for DRS with custom adapters. Targeted DRS requires an exactly defined 3′end. Preliminary analysis excluded RNase H due to generation of heterogeneous ends and TaqI, because the reaction conditions were incompatible with preserving RNA integrity. The proof-of-principle analysis shown here, enables for example the sequencing of 5′fragments of long cellular RNAs or the targeted sequencing of polyadenylated reporter RNAs. In the latter case, the polyA tail will be removed to generate a unique 3′end. Here, the specificity of AvaII cleavage is notable, as only sites annealed to a complementary DNA oligo will be cleaved. On the other hand, the AvaII recognition sequence GGWCC may not be available in all cases, potentially limiting the application. Furthermore, we advise to first check the m6A status of recognition motifs.

The AvaII cleavage approach presented here, is impacted by the relatively low activity of AvaII on DNA–RNA substrates compared to the cleavage of pure DNA substrates (Murray et al., 2010). This results in a minor fraction of uncleaved RNA and the requirement of long incubation times, which may negatively impact RNA integrity. Thus, we see AvaII as the first step in developing a toolkit for site specific RNA cleavage, which will hopefully be extended by additional RNA endonucleases in the future.

In summary, we present two methods that extend the toolkit of RNA researchers, interested in RNA modifications and long-read sequencing. Further work will broaden the applicability of the proposed methodology.

Data availability statement

The data presented in the study are deposited in the Zenodo repository at https://doi.org/10.5281/zenodo.16036643.

Author contributions

IN-D: Writing – original draft, Methodology, Visualization, Conceptualization, Investigation. TP: Conceptualization, Writing – review and editing. JK: Funding acquisition, Conceptualization, Writing – review and editing. CD: Funding acquisition, Writing – review and editing, Supervision, Conceptualization.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by DFG grants to JK and CD(TRR319 project no. 439669440).

Acknowledgments

We thank Nina Papavasiliou for the initial suggestion to use DNA endonucleases for site-specific RNA cleavage.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmolb.2025.1593637/full#supplementary-material

References

Boileau, E., Altmüller, J., Naarmann-de Vries, I. S., and Dieterich, C. (2021). A comparison of metabolic labeling and statistical methods to infer genome-wide dynamics of RNA turnover. Brief. Bioinform. 22, bbab219. doi:10.1093/bib/bbab219

PubMed Abstract | CrossRef Full Text | Google Scholar

Chan, A., Naarmann-de Vries, I. S., Scheitl, C. P. M., Höbartner, C., and Dieterich, C. (2024). Detecting m6A at single-molecular resolution via direct RNA sequencing and realistic training data. Nat. Commun. 15, 3323. doi:10.1038/s41467-024-47661-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Diensthuber, G., and Novoa, E. M. (2025). Charting the epitranscriptomic landscape across RNA biotypes using native RNA nanopore sequencing. Mol. Cell 85, 276–289. doi:10.1016/j.molcel.2024.12.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Jo, H., Beon, J., and Oh, S. S. (2022). Selective RNA labeling by RNA-compatible type II restriction endonuclease and RNA-extending DNA polymerase. Life Basel Switz. 12, 1674. doi:10.3390/life12101674

PubMed Abstract | CrossRef Full Text | Google Scholar

Kisiala, M., Kowalska, M., Pastor, M., Korza, H. J., Czapinska, H., and Bochtler, M. (2020). Restriction endonucleases that cleave RNA/DNA heteroduplexes bind dsDNA in A-like conformation. Nucleic Acids Res. 48, 6954–6969. doi:10.1093/nar/gkaa403

PubMed Abstract | CrossRef Full Text | Google Scholar

Liepelt, A., Mossanen, J. C., Denecke, B., Heymann, F., De Santis, R., Tacke, F., et al. (2014). Translation control of TAK1 mRNA by hnRNP K modulates LPS-Induced macrophage activation. RNA N. Y. N. 20, 899–911. doi:10.1261/rna.042788.113

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, C., Sun, H., Yi, Y., Shen, W., Li, K., Xiao, Y., et al. (2023). Absolute quantification of single-base m6A methylation in the Mammalian transcriptome using GLORI. Nat. Biotechnol. 41, 355–366. doi:10.1038/s41587-022-01487-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Murray, I. A., Stickel, S. K., and Roberts, R. J. (2010). Sequence-specific cleavage of RNA by type II restriction enzymes. Nucleic Acids Res. 38, 8257–8268. doi:10.1093/nar/gkq702

PubMed Abstract | CrossRef Full Text | Google Scholar

Murray, K., Hughes, S. G., Brown, J. S., and Bruce, S. A. (1976). Isolation and characterization of two sequence-specific endonucleases from Anabaena variabilis. Biochem. J. 159, 317–322. doi:10.1042/bj1590317

PubMed Abstract | CrossRef Full Text | Google Scholar

Naarmann-de Vries, I. S., Zorbas, C., Lemsara, A., Piechotta, M., Ernst, F. G. M., Wacheul, L., et al. (2023). Comprehensive identification of diverse ribosomal RNA modifications by targeted nanopore direct RNA sequencing and JACUSA2. RNA Biol. 20, 652–665. doi:10.1080/15476286.2023.2248752

PubMed Abstract | CrossRef Full Text | Google Scholar

Pardo-Palacios, F. J., Wang, D., Reese, F., Diekhans, M., Carbonell-Sala, S., Williams, B., et al. (2024). Systematic assessment of long-read RNA-Seq methods for transcript identification and quantification. Nat. Methods 21, 1349–1363. doi:10.1038/s41592-024-02298-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Pryszcz, L. P., Diensthuber, G., Llovera, L., Medina, R., Delgado-Tejedor, A., Cozzuto, L., et al. (2025). Rapid and accurate demultiplexing of direct RNA nanopore sequencing datasets with SeqTagger. Genome Res. gr., 279290. doi:10.1101/gr.279290.124

CrossRef Full Text | Google Scholar

Toorn, W. van der, Bohn, P., Liu-Wei, W., Olguin-Nava, M., Smyth, R. P., and Kleist, M. von (2024). Demultiplexing and barcode-specific adaptive sampling for nanopore direct RNA sequencing. doi:10.1101/2024.07.22.604276

CrossRef Full Text | Google Scholar

Keywords: RNA methylation, direct RNA-sequencing, nanopore, DNA endonuclease, RNA modification, RNA cleavage

Citation: Naarmann-De Vries IS, Preissendörfer T, König J and Dieterich C (2025) AvaII senses m6A and inosine sites and enables targeted nanopore direct RNA-sequencing. Front. Mol. Biosci. 12:1593637. doi: 10.3389/fmolb.2025.1593637

Received: 14 March 2025; Accepted: 14 July 2025;
Published: 28 July 2025.

Edited by:

Jianqiang Bao, University of Science and Technology of China, China

Reviewed by:

Juan Camilo Gonzalez Rivera, Bristol Myers Squibb, United States
Zemin Yang, St. Jude Children’s Research Hospital, United States

Copyright © 2025 Naarmann-De Vries, Preissendörfer, König and Dieterich. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Isabel S. Naarmann-de Vries, aXNhYmVsLm5hYXJtYW5uLWRldnJpZXNAdW5pLWhlaWRlbGJlcmcuZGU=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.