Skip to main content
RNA Biology logoLink to RNA Biology
. 2026 Sep 18;23(1):1–17. doi: 10.1080/15476286.2026.2720028

Production of MarathonRT and its comparison with commercial reverse transcriptases for tRNA sequencing library preparation

Jenni K Pedor a,b, Pavlina Gregorova a,b, Matea Radesic a,b, L Peter Sarin a,✉
PMCID: PMC13613910  PMID: 42757813

ABSTRACT

Over the past decade, groundbreaking discoveries have cemented transfer RNAs (tRNAs) as versatile regulators of translation and cellular function. As tRNA research gains momentum, several high-throughput sequencing methods have emerged for quantitative analysis of tRNA isoacceptors in cells. However, the strong secondary structure and rich post-transcriptional modification of most tRNA molecules pose significant challenges for reverse transcriptases, thus hampering library preparation and introducing quantification biases. Current approaches rely on processive next generation reverse transcriptases (ngRTs) – they successfully overcome these problems, albeit with the potential caveat of high experimental costs. Here, we introduce a recombinant MarathonRT (MRT) protein with a C-terminal chitin binding domain (CBD), for which we present a simple and robust one-step purification protocol that yields over 18,000 enzymatic reactions per 0.5 L of expression culture. We also developed an affordable colorimetry-based method for determining the specific activity of these enzymes. Importantly, we benchmarked our in-house produced MRT-CBD using the mim-tRNAseq workflow and show that its performance matches that of commercially available ngRTs. In addition, we implemented the use of a rapid tRNA spin column-based enrichment method for tRNA-seq and LC-MS applications, establishing it as a viable alternative to conventional gel-extraction. Combined, we provide an easily implementable MarathonRT purification protocol along with an improved workflow that significantly reduces the time and cost of tRNA-seq library preparation.

KEYWORDS: Reverse transcription, tRNA-seq, group II intron encoded RT, RNA sequencing library preparation, protein purification, tRNA, enzyme, RNA

Introduction

Transfer RNAs (tRNAs) are critical components in various essential biological processes, ranging from translation [1], amino acid metabolism [2,3], gene expression regulation (reviewed in [4]), and priming of reverse transcription in retroviruses [5] to biotechnological applications (reviewed in [6,7]). Given their ubiquity in cellular processes, sudden changes in tRNA abundance and function can lead to numerous diseases and dysfunctions (reviewed in [7,8]). Hence, accurate quantification of tRNA is important not only for understanding cellular physiology and disease, but also for advancing tRNA-based therapeutics.

Over the past decade, significant efforts have been made towards developing tRNA quantification methods based on next-generation sequencing [9]. However, tRNA is notorious for its robust structure, high sequence similarity and extensive post-transcriptional modification (PTM) of its nucleosides. Based on their position, PTMs can be broadly categorized into two groups: tRNA body or anticodon stem loop modifications. PTMs located in the tRNA body are mostly associated with folding and stability, whereas modifications at the anticodon stem loop directly affect transcript decoding (reviewed in [10]). Next to PTMs, strong secondary structures and chemical modifications often create unsurmountable roadblocks for conventional reverse transcriptases (RTs), causing them to stall and dissociate from the template. This produces prematurely terminated reads that are difficult to map due to the high sequence conservation of tRNAs (reviewed in [8,9]). Taken together, these features make tRNAs one of the most technically challenging RNA molecules to sequence.

To overcome these challenges, numerous strategies including the enzymatic removal of common modifications [11–14], limited alkaline hydrolysis [15], and the use of novel group II intron-encoded RTs [13,14,16,17] have been implemented. Compared to conventional retroviral RTs, group II intron-encoded RTs are of retrotransposon origin and possess superior processivity on structured and/or modified templates [18,19]. Consequently, these next generation RTs (ngRTs) that include TGIRT [18], MarathonRT (MRT) [19,20], and recent commercial alternatives, such as uMRT (RNAConnect) and Induro RT (New England Biolabs, NEB), have become the RTs of choice in the latest Illumina-based tRNA-seq methods [14,16,17]. Importantly, ngRTs can produce full-length cDNA from challenging templates without enzymatic removal of modifications and without the need to destabilize the secondary structures by higher RT reaction temperature [14,16,17]. In addition, ngRTs are used in Oxford Nanopore Technologies (ONT) direct RNA sequencing applications to improve signal quality by destructuring the tRNA through cDNA synthesis, thus yielding a linearized tRNA molecule [21,22]. Currently, Induro RT is the officially recommended ngRT enzyme used in the ONT workflow.

Despite these advances, the availability of ngRTs and overall experimental costs remain significant bottlenecks in tRNA-seq applications. Commercial ngRTs offer high fidelity and processivity but can be prohibitively expensive for large-scale library preparations. Alternatively, researchers may opt to express recombinant MarathonRT (MRT) in-house using the Addgene-distributed plasmid (#109029). However, previously published protocols for expression and purification of MRT [19,20] were developed for resolving the crystal structure of the MRT enzyme. As this seminal work required a very pure product, the resulting multi-step purification protocol was complex and laborious, heavily emphasizing MRT purity over yield and ease-of-production.

Similarly, in tRNA-seq workflows, a lot of time and effort is required to isolate bulk tRNA from total RNA. Denaturing polyacrylamide (PAA) gel-based extraction is the established albeit time-consuming and labour-intense method-of-choice in most protocols [14,16]. Alternative strategies include anion-exchange chromatography [23] or reverse transcription of tRNAs using DNA splints [17], which both have caveats. The former requires less manual labour but necessitates overnight precipitation steps that are not easily scalable, whereas the latter may be suitable for tRNA-seq, but does not work for mass spectrometry (MS)-based tRNA analysis. There are also commercial kits that capture short RNAs [e.g. miRNeasy Kit (Qiagen) <200 nt or mirVana miRNA kit (Ambion) <200 nt], but none of these have a cut-off that specifically enriches for tRNA without capturing 5S and 5.8S rRNA contaminants. However, a recently introduced silica-based spin column protocol enables rapid enrichment of tRNA from total RNA within minutes [24], thus promising an efficient approach for preparing sequencing and MS-grade tRNA samples.

In this study, we present a simplified method for the expression and one-step purification of recombinant MRT and its C-terminally modified variant, MarathonRT-CBD (MRT-CBD). By inducing MRT expression at the early exponential phase, eliminating tag-cleavage, and removing non-essential purification steps, we obtain high yields of MRT with a performance comparable to commercial ngRTs at a fraction of the cost. In addition, removal of non-essential purification steps shortens the MRT production workflow by at least one day. Furthermore, we established rapid silica-based spin column tRNA enrichment method as an efficient alternative to gel purification and demonstrate its compatibility with tRNA-seq and LC-MS-based PTM profiling. The resulting workflow provides a cost-effective, reproducible, and accessible method for tRNA sequencing library preparation, facilitating broader accessibility of tRNA-seq technologies across molecular biology laboratories.

Results

An improved protocol for the expression and purification of MarathonRT

As most tRNA-seq protocols rely on highly processive ngRTs to convert tRNA to cDNA prior to sequencing library preparation, we set out to simplify the production process of MRT while making sure to retain the enzymatic activity. During our initial tests, we observed that inducing the expression of the protein at OD600 of 0.8–2 [20,25] persistently resulted in the majority of the protein precipitating during affinity purification. Secondly, the enzymatic removal of the N-terminal 6×His-SUMO-tag following affinity purification triggered excessive protein precipitation as described in the original publication [20]. Consequently, very little soluble protein remained available for subsequent chromatography steps, which ultimately resulted in a yield too small for downstream applications and an excessive cost-per-reaction. To resolve these issues, we first revised the expression constructs. In addition to the original MRT construct, we also introduced a Chitin Binding Domain (CBD) to the C-terminus of MRT (MRT-CBD) (Figure 1(A)), thereby ‘sandwiching’ the protein with a SUMO and CBD tag to enhance protein solubility [26]. Secondly, we decided to omit the tag-cleavage step as another group II intron-encoded RT has been shown to function with the expression and solubility tags [18]. Thirdly, we also explored if using solely an affinity purification step yields a protein sample preparation with no competing enzymatic activity nor RNase contamination. The resulting expression and purification workflow is shown in Figure 1(B). We observed that for both the MRT and the MRT-CBD construct, there was no precipitation during affinity purification when expression was induced in an E. coli Rosetta 2(DE3)pLysS strain at OD600 of 0.4–0.5 and was expressed for 18 h at 16°C. We also noted that using transformants older than 3 days significantly reduces the protein yield and increases precipitation, which may be accounted for by mutations that accumulate in the coding gene. Following cell lysis by ultrasonication, we performed a one-step gravity flow affinity chromatography purification of the His-tagged proteins using a self-packed Ni-NTA column (1 mL resin/500 mL culture). The MRT and MRT-CBD containing elution fractions were pooled prior to buffer exchange and concentration. This yielded protein batches consisting primarily of full-length MRT or MRT-CBD along with some truncated protein species and other co-purifying native E. coli proteins (Figure 1(C,D)). The protein identities were confirmed by Western Blot, where it was clearly detectable that MRT-CBD expression yielded 25% more of full-length product compared to MRT (Figure 1(D), Supp. File S1). Moreover, we consistently observed a specific set of truncated protein products that were clearly detectable by SDS-PAGE analysis and Western Blot using an anti-His-tag antibody (Figure 1(D)). We assume that these C-terminally truncated proteins are MRT cleavage products generated by E. coli proteases during the expression-purification protocol. Indeed, SDS-PAGE analysis revealed that these bands migrate faster following SUMO-tag cleavage (Supp. Figure S1, A), which is consistent with a size-reduction following loss of SUMO-tag.

Figure 1.

Composite figure outlining MRT/MRT-CBD construct design, protein expression and purification workflow, storability and enzyme activity analysis. The image A shows MRT and MRT-CBD constructs with 6xHis, SUMO, MarathonRT and CBD domains, weighing 62 kDa and 68 kDa respectively. The image B illustrates the protein production workflow: 1) Expression, 2) Cell lysis, 3) Purification, 4) Concentration, 5) Unit definition. The image C displays a 10 percent SDS-PAGE gel comparing MRT and MRT-CBD expression, with bands indicating full-length proteins. The image D presents a Western blot of concentrated protein detected by anti-His antibody, showing full-length protein bands marked by dashed lines. The image E shows graphs of protein activity over time at -20 degrees C and -70 degrees C, with measurements in U/ microg over 52 weeks. The image F depicts freeze-thaw cycle activity graphs at -20 degrees C and -70 degrees C over 20 weeks. The image G contains bar plots of densitometry analysis of free cDNA produced by MRT-CBD and MRT, showing relative cDNA amounts at different enzyme activities.

MRT and MRT-CBD construct design, purification, storability, and optimal enzyme-to-template ratio. (A) Schematic representation (not to scale) of MRT and updated MRT-CBD construct in a new plasmid backbone with a C-terminal CBD domain. (B) Overview of the optimized one-step protein production workflow. (C) Representative 10% SDS-PAGE gel (1.5 mm) of MRT and MRT-CBD expression. in – pooled elution fractions from affinity purification; conc – concentrated protein. Bands representing full-length protein are indicated (dot = MRT, triangle = MRT-CBD), colours correspond to panel A. Marker: PageRuler broad range unstained protein ladder. (D) Representative Western blot of concentrated protein detected by anti-His antibody. Full-length protein indicated by dot (MRT) or triangle (MRT-CBD). Densitometry analysis of the full-length protein is shown next to the plot, full-length protein band marked by blue dashed line. (E, F) Protein storability. Top panels: activity of samples stored at −20°C; bottom panels: activity of samples stored at −70°C. Measurements were performed in technical duplicates, except the first time point (n = 3). Black outline around shapes indicates the use of a new RNA template batch. (E) protein activity over 52 weeks. (F) Activity during repeated freeze-thaw cycles over 20 weeks. (G) Bar plot of densitometry analysis of free cDNA produced by indicated enzyme amount (U) from 100 ng of 3’-adapter-ligated tRNA template. 0.5 units of the same MRT-CBD reaction were loaded on both gels for comparison.

Consequently, using our revised fusion protein design along with the optimized production protocol, we obtained a total protein yield of 7.5 mg and 5.3 mg per 0.5 L of culture for MRT and MRT-CBD, respectively (Table 1; Supp. File S2). Furthermore, we did not detect any precipitate at any point of the purification process, which suggests that our protocol significantly mitigates MRT precipitation and thus increases the yield of the active enzyme.

Table 1.

MRT and MRT-CBD yield and production cost compared to commercial enzymes.

Protein Total yield (mg) Activity (U/mg) Total units (U) Reactions (nr) Cost per rxn (€)
MRT 7.5 1,790 13,478 26,957 0.0023
MRT-CBD 5.3 1,790 9,420 18,841 0.0034
uMRT (R1002S) N/A N/A N/A 20* 19.7
Induro RT (M0681L) N/A N/A 10,000* 50* 11.9

*As tested, also available in other amounts. Unit definitions for commercial products may differ.

MRT and MRT-CBD retain their enzymatic activity over a 12-month storage period

To quantitatively determine the activity of our in-house produced MRTs and normalize against batch-to-batch variation, we adapted a simple and cost-effective colorimetric assay that measures pyrophosphate (PPi) release during the cDNA polymerization reaction (modified from [27,28]). In this assay, 1 enzyme unit (U) is defined as the amount of MRT/MRT-CBD needed to release 1 nmol of PPi in 30 min at 42°C when using a defined RNA fragment as template and a gene-specific reverse transcription primer at standard reaction conditions [29]. Hence, the average activity of MRT and MRT-CBD protein preparation measured directly after purification was 1.79 ± 0.05 U/µg and 1.79 ± 0.11 U/µg, respectively, which equals a total of 13,478 U and 9,420 U per 0.5 L of culture, respectively (Table 1, Supp. File S3). Consequently, if 0.5 U is used for each standard RT reaction, this corresponds to 26,957 MRT and 18,841 MRT-CBD reactions, which results in a total cost-per-reaction of 0.0023€ or 0.0034€, respectively (Supp. File S4; prices correct at time of writing). Overall, the colorimetric assay demonstrated that our optimized expression and purification protocol yields enzymatically active RTs that can be affordably produced.

Next, using the same colorimetric assay, we set out to monitor the long-term stability of the MRT (6.3 mg/mL) and MRT-CBD (4.4 mg/mL) protein preparation stocks (Supp. File S2) when stored at −20°C or −70°C for up to 12 months (Figure 1(E), Supp. File S3). As previously established, the initial activity for MRT and MRT-CBD was 1.79 ± 0.05 and U/µg 1.79 ± 0.11 U/µg, respectively, which after 12 months of continuous storage at −20°C decreased to 1.18 ± 0.02 U/µg and 1.45 ± 0.07 U/µg, respectively (Figure 1(E)). This suggests that MRT-CBD is marginally more stable and retains a higher specific activity at −20°C. Conversely, we observed no significant loss of activity for either MRT or MRT-CBD when stored at −70°C for 12 months, as both enzymes featured an average activity of 1.71 ± 0.14 U/µg and 1.71 ± 0.07 U/µg (Figure 1(E), Supp. File S3), indicating that cryogenic conditions are preferential for maintaining enzymatic activity during long-term storage. However, we noticed a significant decrease in activity for both enzymes and storage conditions after 32 weeks (~7 months). Since this change was sudden and both conditions were equally affected, we suspected a potential issue with the activity assay, possibly due to degradation of the RNA template. Consequently, a new batch of the template (Figure 1(E); data points with black outline) was produced and assayed in parallel with the old batch (Figure 1(E); data points without any outline) at weeks 36 and 40. This revealed that the old and new template batches produced very similar results and that the average specific activities obtained for both enzymes and storage conditions were equivalent to the initial values at week 0, suggesting that the reduction of activity observed at week 32 can most likely be accounted to a technical issue.

In addition to continuous long-term storage, we also assessed how multiple freeze-thaw cycles affected the stability of both MRT enzymes. To this end, we measured MRT and MRT-CBD activity following 5 freeze-thaw cycles of the same enzyme samples spanning 20 weeks of storage at −20°C and −70°C, respectively. Unsurprisingly, each subsequent freeze-thaw cycle caused a loss of activity irrespective of enzyme or storage condition, although enzymes stored at −70°C performed marginally better (Figure 1(F)). At the end of the storage period, MRT activity had dropped from an initial average of 1.79 ± 0.05 U/µg to 1.21 ± 0.02 U/µg or 1.28 ± 0.03 U/µg, respectively, when stored at −20°C or −70°C. However, MRT-CBD was less affected, possibly due to the protection mediated by the C-terminal CBD-tag, and we observed a loss of activity from an initial average of 1.79 ± 0.11 U/µg to 1.45 ± 0.02 U/µg or 1.46 ± 0.03 U/µg, respectively, when stored at −20°C or −70°C (Figure 1(F), Supp. File S5). Finally, high protein concentrations have been reported to act as cryoprotectants and stabilizers against freeze-thaw–induced degradation [30], albeit such protective properties are lost upon dilution. To establish the stability of MRT solutions diluted to 0.6 µg/µL, which corresponds to ~1.5 U/µL, we exposed these to 2 or 4 freeze-thaw cycles spanning 7 or 16 weeks at −20°C or −70°C, respectively (Supp. Figure S2A; Supp. File S6). At these conditions, we noted a small activity drop for both MRT and MRT-CBD, although as with the concentrated enzyme stocks, enzymes stored at −70°C yielded higher activities (Supp. Figure S2A; Supp. File S6).

Excess MRT and MRT-CBD reduces overall cDNA production efficiency

After determining the specific activity for the enzymes, we defined the optimal amount of enzyme needed for processing 100 ng of tRNA, as this constitutes the input amount for the RT reaction in the mim-tRNAseq protocol [31]. Hence, we systematically performed RT reactions using 0.125–1.75 U of MRT or MRT-CBD and the resulting cDNA synthesis was characterized by urea-PAA gel electrophoresis and subsequent image densitometry analysis (Supp. Figure S2B; Supp. File S7). This revealed that the highest amount of cDNA was obtained with 0.5 U of MRT or MRT-CBD in the reaction (Figure 1(G)). Importantly, our analyses also showed that additional MRT or MRT-CBD (>0.5 U for 100 ng of tRNA) did not improve cDNA synthesis – on the contrary, an excess of enzyme (0.75–1.75 U) induced the formation of high molecular weight complexes consisting of MRT or MRT-CBD invariantly bound to the synthesized cDNA, which lowered the yield of available cDNA (Supp. Figure S2B). MRT is known to have a highly basic secondary RNA binding site, which can contribute to the higher binding rate of the template tRNA and render the complex inactive [19]. Consequently, the most optimal activity for MRT or MRT-CBD in the tRNA sequencing workflow is achieved when using 0.5 U of enzyme per 100 ng of tRNA template.

Enhanced tRNA enrichment by silica-based spin columns facilitates sample preparation

The first step in tRNA-seq and MS-based tRNA PTM detection is to obtain high-quality tRNA. A recently published protocol for tRNA enrichment using silica-based spin columns [24] offers a potential alternative to the established methods [23]. In this protocol, tRNAs and other short RNAs (<120 nt) are enriched from total RNA by a simple four-step process that takes approx. 30 min (Figure 2(A)). Importantly, this approach does not enrich for 5S or 5.8S rRNA, which are common contaminants in many RNA isolation procedures. The original protocol uses Macherey-Nagel NucleoSpin RNA columns, where 80–100 µg total RNA is needed for efficient tRNA extraction. However, this is an excessively high amount for tRNA sequencing, where only a fraction of the material is needed for cDNA synthesis. Therefore, we assessed the protocol for use with silica-based spin columns that are optimized for low sample amounts and volumes, such as NucleoSpin RNA XS (Macherey-Nagel) and Monarch Spin RNA Cleanup (10 µg) (NEB) columns. Interestingly, the NucleoSpin RNA XS column did not achieve tRNA and rRNA separation even at total RNA input amounts as low as 0.75–2.0 µg (Supp. Figure S3A). The Monarch Spin RNA Cleanup (10 µg) column proved to be the better choice as it performed similarly to the original protocol and efficiently enriched for tRNA at the tested total RNA inputs of 2.5 µg, 5 µg, or 10 µg (Figure 2(B)). Furthermore, we show that the cut-off for long RNA binding (Figure 2(A), step I) to the Monarch Spin RNA Cleanup (10 µg) column can be modulated by adjusting the EGDA concentration, where 35% EGDA provides the best balance between tRNA enrichment and rRNA removal (Supp. Figure S3B) as used in the original protocol [24]. Nonetheless, we observed that a small fraction of the tRNA remains bound to the first column (Figure 2(C)), which constitutes a minor trade-off in favour of enhanced separation. To benchmark these adaptations, we applied the same starting material (total RNA from S. cerevisiae) for both tRNA gel extraction and spin column-based tRNA enrichment (Figure 2(D)). As expected, we achieved a recovery rate of 48% for the tRNA fraction using the column-based method, which is slightly higher than the 37% yield obtained with gel extraction (Table 2). We also noted the faint presence of 5S rRNA in both column and gel enriched samples (Figure 2(D)), which was attributed to extraction-dependent differences in total RNA composition (Supplementary Results 1, Supp. Figure S3D, E).

Figure 2.

A schematic workflow of tRNA extraction and sequencing process with gel analysis, PCA clustering and correlation graph. The tRNA purification process involves four steps: 1) Long RNA binding, where DA and DPH total RNA mix with LBB and EGDA, binding to the first column. 2) Short RNA binding, where flow-through mixes with SBB, binding to the second column. 3) Washing with chaotropic agents and ethanol. 4) Eluting RNA with ddH2O. Gel analysis on 8 to 10% denaturing urea-PAA gels shows bands for 5.8S, 5S rRNA and bulk tRNA. Total RNA loaded is 10, 5 and 2.5 microg. Eluates from columns I and II are analyzed, showing rRNA removal in eluate II. Column-enriched and gel-extracted tRNA are used for tRNA-seq library prep. PCA clustering of sequenced samples shows variance, with encircled areas for column-enriched and gel-extracted tRNA. The correlation graph shows normalized peak heights of global tRNA modifications detected by LC-MS, with Pearsons r = 0.9998 and R superscript 2 = 0.9995.

tRNA column and gel extraction for sequencing. (A) schematic overview of the tRNA silica-based spin column purification process. First, the total RNA sample is mixed with long RNA binding buffer (LBB) and bound to the first column. The flowthrough will contain RNAs < 120 bp. This flowthrough is mixed with short RNA binding buffer (SBB) and bound to the second column. The RNA bound to the column is then washed with a chaotropic wash (CW), ethanol wash (EW) and eluted with ultra-pure water. DA/DPH denotes deacylated and dephosphorylated total RNA and encircled roman numerals I and II correspond to eluates from column I and II, respectively. (B–D) RNA samples analysed on 8–10% denaturing urea-PAA gels. Marker: low‑range ssRNA (NEB). Bands corresponding to 5.8S and 5S rRNA are indicated. (B) binding capacity of Monarch RNA Cleanup columns (10 μg, NEB) loaded with 10, 5, or 2.5 µg total RNA. 50 ng RNA loaded to gel from column I and II eluates. input – total RNA post-phenol/BCP extraction; DA/DPH – deacylated and dephosphorylated total RNA; CTRL – only dephosphorylated total RNA; I/II – eluates from column I and II. (C) urea-PAA analysis of eluate from column I and II. Note removal of rRNA in eluate II. Equal volumes were loaded of both column eluates. (D) column enriched and gel-extracted tRNA used in the tRNA-seq library preparation. (E) PCA clustering of sequenced samples (n = 48). Encircled areas correspond to column enriched tRNA (green ellipse) or gel-extracted tRNA (black ellipse). (F) correlation of normalized peak heights of global tRNA modifications detected by LC-MS between extraction methods (log2 scale; column extraction n = 5, gel extraction n = 3). Pearson’s r = 0.9998, R2 = 0.9995.

Table 2.

Comparison of tRNA enrichment efficiency by extraction method.

Extraction type Total RNA input (µg) Concentration (ng/µL) Total volume (µL) Total yield (µg) Total yield (%)
Column extraction 120 479 120 57 48
Gel extraction 120 373 120 45 37

Although our samples contain traces of rRNA, previous tRNA sequencing studies have successfully used samples containing RNAs shorter than 200 nt (incl. rRNA) [13]. Consequently, we proceeded with the downstream analysis.

Choice of tRNA enrichment method does not bias tRNA-seq or MS analyses

To validate our approach, we generated sequencing libraries from gel-extracted and column-enriched tRNA samples using our in-house produced MRT and MRT-CBD and benchmarking them against Induro RT and uMRT (Figure 3(A)). We used total RNA from S. cerevisiae and followed the mim-tRNAseq protocol [31]. Briefly, we generated 8 libraries, each consisting of 6 technical replicates per ngRT and tRNA extraction method, which were pooled into an equimolar sequencing library and sequenced on Illumina NovaSeqX platform (Supplementary results 2, Supp. Figure S4-S6). Illumina sequencing generated a total of 1.07 billion reads; 73% of these were index-determined, whereas the remaining 27% could not be index-determined and were subsequently discarded. For the index-determined reads, over 88% of bases had the quality score ≥ Q30 (Supp. File S8). After the analysis of R1 reads using the mim-tRNAseq toolkit [31] we identified that all 8 libraries had the proportion of uniquely mapped reads ≥ 97% (Supp. Figure S7A; Supp. File S8). Following the principal component analysis of the sequenced MRT-CBD prepared samples, we observed that samples extracted using silica-based spin columns clustered together, separating clearly from the cluster formed by the gel-extracted samples (Figure 2(E)). Importantly, all detectable 42 S. cerevisiae cytosolic tRNA isoacceptors [32] (Supp. File S9) that were identified could be found to a similar extent in both spin column and gel-extracted samples with read count correlation r = 0.93–0.96 (Supp. Figure S8). A closer analysis revealed that select tRNA isoacceptors for leucine, serine, and glutamine were underrepresented in the spin column samples compared to gel-extracted ones, although all other tRNAs did not show any significant differences (Supp. Figure S7B). To verify that column enrichment does not negatively affect the chemical modifications present on tRNAs, we performed LC-MS analyses of tRNA samples from column-enriched and gel-extracted samples. We obtained a Pearson’s correlation of 0.99 between the samples with most of the detected ions corresponding to canonical nucleosides and PTMs found on tRNA (Figure 2(F), Supp. File S10), indicating the very similar performance of these two extraction methods. However, we did identify traces of m62A in two of the gel-extracted samples, but not in any of the column-enriched samples (Supp. File S10). Since m62A is an rRNA-specific modification [33], it suggests that some of the gel-extracted samples contained a minor rRNA contamination. Overall, our results show that the performance of the silica-based spin column tRNA enrichment method is comparable to or even slightly exceeds established gel extraction-based approaches.

Figure 3.

Benchmarking of in-house produced MRT and MRT-CBD vs. commercial RT enzymes by normalized tRNA counts and misincorporation events. Image A depicts a workflow with three steps: 1) Library preparation using four enzyme variants (MRT, MRT-CBD, InduroRT, uMRT), 2) NGS with a sequencing instrument and 3) mim-tRNAseq analysis with a computer. Image B shows four scatter plots of normalized tRNA counts, each with a diagonal reference line. Scatter plot 1 compares MRT and InduroRT (Pearson r = 0.92), plot 2 compares MRT-CBD and InduroRT (Pearson r = 0.97), plot 3 compares uMRT and MRT (Pearson r = 0.96) and plot 4 compares uMRT and MRT-CBD (Pearson r = 0.99). Most points cluster near the diagonal, indicating agreement in counts. Image C displays four stacked bar charts of position-specific misincorporation for Ser-AGA-2, labeled MRT, MRT-CBD, uMRT and InduroRT. The y-axis shows mean misincorporation proportions from 0.0 to 1.0 and the x-axis indicates tRNA positions (5′-3′). All charts show low bars with spikes near 1.0 at similar positions across enzymes.

Benchmarking in-house MRT and MRT-CBD versus commercial RT enzymes. (A) schematic overview of the tRNA-seq workflow. (B) reproducibility of tRNA quantification across RT enzymes. Scatter plots show pairwise comparisons of normalized tRNA counts (technical replicates n = 6). Axes represent normalized read counts from DESeq2 (adj-p ≤ 0.05). Pearson (r) indicated. (C) mean position-specific mismatch frequencies across tRNAs aggregated over technical replicates (n = 6) per enzyme. Only positions with coverage > 0.0005 are shown. Misincorporation pattern for tRNA-Ser-AGA-2 is shown under each enzyme.

MRT and MRT-CBD performance is on par with uMRT and Induro RT

Next, we proceeded with comparing the performance of our in-house produced ngRTs with the commercial enzymes using the sequencing results obtained from the above generated libraries where column-enriched tRNA was used as starting material. Unexpectedly, our analysis of the detected cytosolic tRNA species (clustered by anticodon) counts showed that tRNAs reverse transcribed by MRT-CBD clustered closer to uMRT and Induro RT than to MRT (Supp. Figure S7C). Indeed, we also observed that MRT-CBD/uMRT and MRT-CBD/Induro RT samples yielded a high Pearson’s correlation with r = 0.99 and r = 0.97, respectively (Figure 3(B)), whereas Induro RT/MRT samples varied the most with a correlation of r = 0.92 and the remaining samples showed an intermediate correlation of r = 0.96–0.98 (Figure 3(B); Supp. Figure S7D. This suggests that MRT-CBD yielded results that are similar to those obtained with Induro RT and uMRT, whereas MRT appears marginally divergent.

A closer inspection yielded some interesting observations for all ngRTs studied. First, samples reverse transcribed by Induro RT systematically showed higher initiator tRNA-Met-CAT counts than those generated by MRT-derived enzymes (Figure 3(B); Supp. Figure S7D). Moreover, a similar overrepresentation was not observed for any other tRNA species. Second, the misincorporation pattern for these group II intron-encoded RTs is highly similar (Figure 3(C)). Positions 9, 26, e15 (referring to the extended variable loop as numbered in [34]) and 58 show consistent misincorporation at a high rate, whereas anticodon stem loop positions 32, 34, 36 and 37 show a slightly less frequent, but nonetheless distinguishable misincorporation pattern (Figure 3(C)). These coincide with frequent post-transcriptional modification of these sites in S. cerevisiae cytosolic RNA (reviewed in [35]) – with the notable exception of misincorporation at the variable loop present only for tRNA-Ser-AGA. This observation is unexpected as tRNA-Ser-AGA lacks a known modification at position e15 [33]. Finally, the reverse transcription stop-rate remains low for all ngRTs (Supp. Figure S7E). MRT and MRT-CBD have a slightly higher 3’ bias compared to uMRT and Induro RT, whereas Induro RT shows the lowest 3’ bias (Supp. Figure S9). In conclusion, our tRNA-seq results suggest that MRT and MRT-CBD enzyme preparations performed at a highly similar level to the commercial uMRT and Induro RT enzymes.

Discussion

In this study, we have developed a simple and robust workflow for in-house production and purification of highly active MRT and MRT-CBD, supplemented with an easy-to-implement colorimetric assay for batch comparison and storability assessment (Figure 1). By optimizing construct design, inducing expression at lower culture density, and omitting protein-tag cleavage and additional chromatography steps (Figure 1(B)), this revised protocol consistently yields milligram amounts of soluble proteins from 500 mL of E. coli culture (Table 1). The resulting MRT and MRT-CBD preparations are stable over extended storage time and withstand multiple freeze–thaw cycles (Figure 1(E,F); Supp. Figure S2A). The increased fraction of full-length MRT-CBD and reduced accumulation of truncated species (Figure 1(C,D)) further underscores the stabilizing effect of ‘sandwiching’ the enzyme between solubility tags [26], in line with previous observations for other group II intron-encoded RTs [18]. Furthermore, the tags might act as replacement for natively bound RNA, which is necessary for group II intron RT stability [18]. Importantly, the performance of the ngRTs is comparable to that of the commercial Induro RT and uMRT, whilst being achieved at a fraction of the cost-per-reaction (0.0023–0.0034 €, excluding personnel costs) (Table 1).

To establish in-house produced MRT and MRT-CBD preparations as viable alternatives for tRNA-seq studies, we benchmarked their performance against commercial Induro RT and uMRT using the mim-tRNAseq workflow. This revealed that the in-house produced ngRTs support high-quality tRNA libraries with mapping rates, tRNA isoacceptor counts, misincorporation patterns, and RT stop profiles comparable to commercial enzymes (Figure 3; Supp. Figure S7). MRT-CBD closely matches cytosolic tRNA isoacceptor counts obtained with Induro RT and uMRT while maintaining efficient readthrough at heavily modified positions, indicating that the extra CBD-tag does not adversely affect enzyme function. Minor differences, such as slightly lower tRNA_iMet_CAT counts in MRT libraries and higher tRNA_iMet_CAT counts in Induro RT libraries (Figure 3(B); Supp. Figure S7D), as well as a modest variation in 3’ bias (with Induro RT exhibiting the lowest 3’ bias) (Supp. Figure S9), likely reflect subtle processivity differences rather than fundamental performance gaps. Importantly, the co-purified proteins present in the MRT and MRT-CBD protein preparations do not seem to have a negative effect on the enzyme, neither in terms of activity, specificity, or processivity. Overall, our results are consistent with previous studies for Induro RT and TGIRT [17] and further highlight the comparable performance of group II intron-encoded RTs. Our work further emphasizes the superior capabilities of ngRTs to provide essential information on tRNA sequence, PTMs, and their position without any prior treatment of the template tRNA [16,17] (Figure 3, Supp. Figure S7). Despite these advances, there is still room for further optimization in tRNA sequencing library preparation – for example, adding a periodate oxidation step enables the charging levels of tRNAs to be determined [36], whereas applying the template-switching function of MRT eliminates the 3’adapter ligation step from the library preparation workflow [37].

The one-step Ni-NTA protocol applied here yields enzymatically active MRT and MRT-CBD preparations. Although this is sufficient for tRNA-seq, the presence of co-purifying bacterial proteins and truncated MRT species may limit their use in assays that demand very high purity, such as structural studies, single-molecule biophysics, or highly sensitive diagnostic assays. In such applications, additional purification steps, such as gel filtration or ion-exchange chromatography as performed in the original protocol [19,20,25] may be required. In parallel, this study demonstrates that silica-based spin column tRNA enrichment [24] provides a time-efficient and scalable alternative to traditional denaturing gel-based tRNA extraction (Figure 2). The optimized two-step spin column protocol permits reliable enrichment of bulk tRNA from as little as 2.5 µg of total RNA. With this approach, we obtained an overall yield of 48% from the pooled isolations compared to 37% for gel extraction (Table 2). While we observed some 5S rRNA contamination due to the sensitivity to the phenol source in upstream total RNA extraction, these issues did not impair downstream tRNA-seq performance, as indicated by ≥97% uniquely mapped reads in all libraries (Supp. Figure S7A, Supp. File S8). Importantly, LC-MS analysis shows no detectable differences in PTM profiles between column- and gel-extracted tRNAs (Figure 2(F), Supp. File S10), and tRNA-seq demonstrates that all identified tRNA species are present in both sample types across all tested RT enzymes (Supp. Figure S8, Supp. File S9). Nonetheless, it is important to note that each isolation method has inherent biases. Column enrichment may underrepresent the longest tRNAs near the upper cut-off limit of the membrane, as observed for leucine, serine, and glutamine isoacceptors (Supp. Figure S7), whereas gel extraction may exclude information on tRNA fragments and be more prone to operator-induced variation. Overall, the isoacceptor profiles are highly similar, and both methods support quantitative tRNA profiling. Crucially, column-based enrichment for 6–12 samples can be completed in ~30 minutes at room temperature, whereas conventional gel extraction requires 1–2 days and substantially more consumables, equipment, and hands-on time.

The combined MRT purification and spin column‑based tRNA enrichment workflow thus reduces both the financial and technical barriers for implementing state-of-the-art-tRNA-seq and LC–MS-based tRNA modification analysis. All steps rely on standard molecular biology reagents and equipment [29], and the enzyme expression plasmid is openly available, enabling straightforward adaptation to different organisms, sample types, and tRNA-focused sequencing strategies. Beyond tRNA-seq, the availability of highly active, low-cost in-house MRT and MRT-CBD opens the door for broader deployment of group II intron-encoded RTs in various applications, including RT-PCR on structured templates [38], RNA structure probing [25], modification mapping [39], direct RNA and long-read sequencing [21,22], and single-cell-seq [40]. Furthermore, robust RTs and bioinformatics platforms are also essential for correctly representing various modification-rich small non-coding RNAs and tRNA derived fragments, which are often underrepresented in conventional short RNA-seq applications [41]. In conclusion, our simplified and affordable MRT production and purification protocol combined with silica-based column enrichment of tRNA forms a robust, flexible and accessible platform for advanced studies of tRNA biology and protein synthesis regulation.

Materials and methods

Bacterial strains and plasmids for cloning

pLJSRSF7-T7-6xHis-SUMO-MarathonRT-CBD plasmid (Addgene #253350) was constructed by amplifying MarathonRT from pET-6xHis-SUMO-MarathonRT plasmid gifted by Anna Pyle (Addgene plasmid #109029; originally described in [19]) using forward (5’-CATAGGATCCACATCATCATCATCATCACGGC-3’) and reverse (5’-ATCAGGTACCTCCGCAGGTCACGCATTTTTCGA-3’) primer (Metabion). The empty backbone pLJSRSF7 was gifted by Hideo Iwai (Addgene plasmid #64693; originally described in [42]) and was modified by deleting restriction fragment spanning from 85 bp (NcoI) to 1695 bp (BamHI). The amplified MRT fragment was inserted into modified pLJSRSF7 using BamHI and KpnI restriction sites. The resulting plasmids were amplified in E. coli DH5α.

One-step purification of MRT-RT

MarathonRT purification protocol was modified from previous publications [19,20,25]. pLJSRSF7-T7-6×His-SUMO-MarathonRT-CBD plasmid was transformed into E. coli strain Rosetta 2(DE3)pLysS competent cells. The cells were grown at 37°C to an OD600 of 0.4, and recombinant protein expression was induced with 0.5 mM IPTG overnight (18 h) at 16°C. The pellet from 500 mL culture was collected by centrifugation at 5,000 g for 15 min at 4°C and washed with ice-cold 1× PBS followed by resuspension in buffer A (25 mM Na-HEPES, pH 7.5, 1 M NaCl, 10% glycerol, 2 mM β-Mercaptoethanol) on ice. The suspension was sonicated for 5 min (30 s on, 30 s off) using a probe sonicator (Hielscher Ultrasonics), at 60% amplitude and 0.5 cycle. The sample was centrifuged at 22,000 g for 45 min at 4°C. The supernatant was filtered through 0.2 µm PES filter and incubated with Ni-NTA Resin (Thermo Fischer Scientific, 2 mL of 50% slurry for 500 mL of bacterial culture) that had been pre-equilibrated in buffer A. After 1 h of incubation at 4°C on an end-over-end shaker, the Ni-NTA resin-sample mixture was loaded onto a self-packable column. The resin was then washed with ice cold buffer A, and subsequently buffer B (25 mM Na-HEPES, pH 7.5, 500 mM NaCl, 10% glycerol, 2 mM β-Mercaptoethanol, 20 mM imidazole), and C (25 mM Na-HEPES, pH 7.5, 500 mM NaCl, 10% glycerol, 2 mM β-Mercaptoethanol, 30 mM imidazole). The protein was eluted with buffer D (25 mM Na-HEPES, pH 7.5, 300 mM NaCl, 10% glycerol, 2 mM β-Mercaptoethanol, 300 mM imidazole) and collected by 1 mL fractions. The protein containing fractions were pooled and buffer exchanged for buffer G (25 mM K-HEPES, pH 7.5, 300 mM KCl, 50% glycerol, 1 mM DTT) and concentrated into 1,200 µL using a centrifugal filter unit (Amicon Ultra Centrifugal Filter, 50 kDa MWCO, Merck). The concentrated protein was aliquoted and stored as stated at −20°C or −70°C. Purified protein yield was quantified using Bradford assay [43] and its purity assessed on SDS-PAGE with the expected size of 62 kDa for MRT and 68 kDa for MRT-CBD. For a more detailed purification protocol refer to [29].

Unit definition

RNA template preparation

Plasmid T7-CMVtrans-FFLuc-polyA gifted by Marcel Bruchez (Addgene plasmid #101156, originally described in [44]) was linearized in 40 µL reaction mixture containing 10 µg of the purified plasmid, 2 µL EcoRI (Thermo Fisher Scientific), 4 µL 10× Fast Digest Buffer and ddH2O up to 40 µL. The reaction was incubated for 1 h at 37°C followed by inactivation of the enzyme at 80°C for 5 min. The linearized plasmid was purified using NucleoSpin Gel and PCR Clean-up kit (Macherey-Nagel) following the manufacturer’s protocol and eluted with ddH2O. The template RNA was synthesized in vitro using T7 RNA polymerase (Thermo Fisher Scientific) in 50 µL transcription run-off reaction following the manufacturer’s protocol with slight modifications. In brief, we used 0.8 U of RNAsin Plus (Promega) and incubated the reaction for 2 h at 37°C. Next, the DNA template was degraded by adding 2 µL of RQ1 RNase-Free DNase (Promega) and incubated for 15 min at 37°C. The precipitated inorganic phosphate was removed by centrifugation at 16,000 g for 5 min at RT and the cleared supernatant was transferred into a clean microfuge tube. The RNA was purified on NucleoSpin RNA Columns for RNA purification (Macherey-Nagel, 740,955250S) using only the one-step purification method for products longer than 120 nt from [24]. The RNA (642 nt) concentration was measured by Qubit RNA BR Assay (Thermo Fisher Scientific) on a fluorometer (DeNovix) and purity assessed by denaturing electrophoresis on 5% PAA/7 M urea/0.5× TBE gel. For a more detailed protocol refer to [29].

Unit definition/activity measurement

MRT/MRT-CBD activity was estimated by a colorimetric assay based on malachite green method for phosphate determination [27,28]. All the reagents were prepared/stored in plastic or glassware thoroughly rinsed with ddH2O to avoid any phosphate contamination. For a standard curve, inorganic phosphate (Pi, NaH2PO4, Fisher BioReagents) dilutions ranging from 0–4,000 pmol were prepared from a fresh dilution of 50 µM Pi and ddH2O and added onto a microplate in triplicate. See more detailed protocol in [29].

For 100 reactions, the detection solution (DS) was freshly prepared by mixing 1,574 µL malachite green reagent (0.12% malachite green in 3 M sulphuric acid), 394 µL 7.5% ammonium molybdate (Acros Organics) and 32 µL 10% Tween in this specific order to avoid precipitation. For detection, 20 µL of DS solution was added to the Pi dilutions and incubated for 30 min at RT. The absorbance was measured at 620 nm using a Multiskan FC Microplate Photometer (Thermo Fisher Scientific). Next, to assess the activity of MRT/MRT-CBD, a reverse transcription reaction was performed in 20 µL final volume, where 300 ng of template RNA (described above) and 0.05 µM gene‑specific reverse transcription primer (5’-TCACTGCATACGACGATTCTG-3’) (Metabion) were mixed, incubated at 95°C for 30 s, annealed for 5 min at RT and combined on ice with 1× MRT reaction buffer (50 mM Tris pH 8.3, 200 mM KCl, 2.5 mM MgCl2, 5 mM DTT, 20% glycerol), 0.5 mM each dNTPs, 1 mU/μL Pyrophosphatase, inorganic (0.1 U/μL) (Thermo Fisher Scientific), 1 U/μL RNasin Plus Ribonuclease Inhibitor (40 U/μL) (Promega), 0.6 µg MarathonRT and incubated for 1 h at 42°C. The reactions were transferred to ice and ddH2O was added to yield 80 μL final volume. To detect the pyrophosphate (PPi) released during the reverse transcription, 20 µL of the diluted sample was further diluted with 60 µL of ddH2O (in triplicate) on a microplate, and 20 μL of DS solution was added. The samples were incubated 30 min at room temperature and the absorbance was measured at 620 nm using a Multiskan FC Microplate Photometer (Thermo Fisher Scientific). The raw data and calculations can be found in Supplementary File S3.

MarathonRT reaction optimization and storability

To estimate the optimal MRT/MRT-CBD units per 100 ng of bulk tRNA, 0.125 U, 0.25 U, 0.5 U, 0.75 U, 1 U, 1.25 U, 1.5 U and 1.75 units of MRT/MRT-CBD were used in RT reaction as described below. The cDNA was separated on denaturing electrophoresis on 6% PAA/7 M urea/0.5× TBE gel. The best unit-to-template ratio was estimated from gel by densitometry analysis in ImageLab version 6.0 using the volumetric box function and relative cDNA amounts calculated in Excel.

The storability of MRT/MRT-CBD was assessed by performing the activity assay (as described above) over the course of 52 weeks. For each measurement, the enzyme activity was evaluated either using a fresh aliquot that had not been thawed, using the same stock tube repeatedly to assess the effect of freeze-thaw cycles, or using a diluted stock.

Total RNA extraction from yeast

S. cerevisiae BY4741 was grown at 30°C, 200 rpm in 4 × 250 mL YPD. The cells were harvested at OD600 ~ 0.8 by centrifugation at 4,000 g for 10 min at 4°C. The cell pellets were washed with 10 mL ice-cold 1× PBS (137 mM NaCl, 2.7 mM KCl, 10 mM Na2HPO4, 1.8 mM KH2PO4), re-suspended in 10 mL acidic phenol (pH 4.3, Carl Roth or Sigma) and stored at −20°C. The next day, the pellets were melted at RT in a fume hood. Once melted, 10 mL of 0.9% NaCl and 2 mL of 1-bromo-3-chloropropane (BCP) were added to the pellets. The cells were lysed by vortexing with glass beads and phase separation was performed by centrifugation at 10,000 g for 15 min at RT. The aqueous phase was transferred to a new tube containing 5 mL of acidic phenol and 1 mL of BCP, vortexed and centrifuged at 10,000 g for 10 min at RT. The aqueous phase was transferred to a new tube and combined with 2.5 vol. of 99.6% EtOH. The total RNA was precipitated O/N at −20°C and pelleted by centrifugation at 10,000 g for 30 min at 4°C. Each pellet was washed 2× with 80% EtOH with centrifugation at 10,000 g for 20 min at 4°C after every wash. The pellets were air-dried and dissolved in 200 µL ddH2O. The quality and purity of total RNA were assessed by denaturing electrophoresis on 10% PAA/7 M urea/0.5× TBE gel.

Sequencing library preparation

The sequencing library was prepared following the mim-tRNAseq protocol [31] with the following modifications.

tRNA deacylation and dephosphorylation

In a single reaction, 10 µg of the total RNA from S. cerevisiae was incubated with 1.5 µL 1 M Tris-HCl, pH 9 in a final volume of 21.5 µL at 37°C for 45 min. No RNase inhibitor was added at this step, as the available RNase inhibitors are inactive at pH 9. The deacylation reaction was combined with 0.1 U/µL T4 PNK (Thermo Fisher Scientific), 1× T4 PNK buffer A, 1 U/μL RNasin Plus Ribonuclease Inhibitor in the final volume of 100 µL and incubated at 37°C for 45 min to dephosphorylate the tRNA fragments followed by purification on a column or gel.

tRNA spin column-based extraction

The deacylated and dephosphorylated total RNA was purified on NEB Monarch RNA Cleanup Columns (10 µg) (T2037) or Macherey-Nagel NucleoSpin RNA XS Columns (740902.50S) following the published protocol [24], and 16,000 g was used for all centrifugation steps. The samples were eluted in 10 µL 50°C ddH2O. For the final library workflow 12 extractions were pooled, RNA concentration measured by NanoDrop, and purity assessed by denaturing electrophoresis on 8% PAA/7 M urea/0.5× TBE gel.

tRNA gel-based extraction

The deacylated and dephosphorylated total RNA was resolved on 8% PAA/7 M urea/0.5× TBE gel alongside Low Range ssRNA marker (NEB) and visualized with SYBR Gold (Thermo Fischer Scientific). Species migrating at the size range of mature tRNAs (60–100 nt) were excised and gel slices crushed with disposable pestles in a microfuge tube. Following the addition of RNA gel elution buffer (300 mM sodium acetate pH 5.5, 1 mM EDTA) in a quantity enough to cover the gel pieces, the gel slurry was incubated on an end-over-end rotator at 4°C O/N. Gel pieces were removed with Co-star Spin-X centrifuge tube filters and RNA was recovered from the flow-through by adding an equal volume of isopropanol and precipitated at −70°C for at least 1 h. The precipitated RNA was pelleted at 17,000 g for 1 h at 4°C, washed twice with 1 mL ice-cold 80% EtOH with centrifugation in between washes at 17,000 g for 20 min at 4°C. The pellet was dried at 50°C for 5 min and dissolved in 10 µL ddH2O. For the final library, 12 preparations were pooled, the concentration was measured by NanoDrop and purity was assessed by denaturing electrophoresis on 8% PAA/7 M urea/0.5× TBE gel.

3’ adapter pre-adenylation

The adapter pre-adenylation was done following the McGlincy and Ingolia protocol [45].

3’ adapter ligation

The column-extracted and gel-extracted tRNA was ligated to in-house pre-adenylated barcoded 3’adapters I1-I6 following the protocol from Behrens and Nedialkova [31], except 1 U/μL RNasin Plus Ribonuclease Inhibitor (40 U/μL) was used in the 20 μL ligation reaction. The ligation products were separated on 8% PAA/7 M urea/0.5× TBE gel and visualized with SYBR Gold. Species migrating at the size range of adapter-ligated tRNAs were excised and gel slices crushed with disposable pestles in a microfuge tube. Following the addition of sufficient RNA gel elution buffer (300 mM sodium acetate pH 5.5, 1 mM EDTA) to cover the gel pieces, the gel slurry was incubated on an end-over-end rotator at 4°C overnight. Gel pieces were removed using Costar Spin-X centrifuge tube filters. RNA was recovered from the flow-through by adding an equal volume of isopropanol and 2 µL of GlycoBlue (Thermo Fisher Scientific), upon which the samples were vortexed thoroughly and incubated at −70°C for at least 1 h. Next, the precipitated RNA was pelleted by centrifugation at 17,000 g for 1 h at 4°C, after which the pellet was washed twice with 1 mL ice-cold 80% EtOH and centrifuged at 17,000 g for 20 min at 4°C. The pellet was dried at 50°C for 5 min and dissolved in 14 µL ddH2O per barcode and isolation type. The 3’adapter-ligated RNA was pooled by barcode and isolation type. Typical concentrations for the adapter-ligated tRNA were 80–106 ng/µL.

cDNA synthesis

Each reverse transcriptase had slightly different reaction mixes and conditions:

MRT/MRT-CBD

The reverse transcription reaction was performed in 20 µL final volume, where 100 ng of 3’adapter-ligated tRNA and 0.125 µM reverse transcription primer (5’-pRNAGATCGGAAGAGCGTCGTGTAGGGAAAGAG-iSp18-GTGACTGGAGTTCAGACGTGTGCTC-3’ [31] (Metabion) were mixed, denatured at 95°C for 30 s, annealed for 5 min at RT and combined on ice with 0.5 mM dNTPs, 1 U/μL RNasin Plus Ribonuclease Inhibitor (40 U/μL), 0.5 U MarathonRT in 1× MRT reaction buffer (50 mM Tris pH 8.3, 200 mM KCl, 2.5 mM MgCl2, 5 mM DTT, 20% glycerol) and incubated for 16 h at 42°C.

uMRT

The reverse transcription reaction was performed in 20 µL final volume, where 100 ng of 3’adapter-ligated tRNA, 0.1 µM reverse transcription primer (as noted above) and 0.5 mM dNTPs were mixed, denatured at 95°C for 30 s, snap-cooled on ice for 2 min and combined on ice with 1 U/μL RNasin Plus Ribonuclease Inhibitor (40 U/μL), 1 U/μL uMRT (20 U/μL, RNAConnect) in 1× uMRT reaction buffer and incubated for 16 h at 42°C.

Induro RT

The reverse transcription reaction was performed in 20 µL of final volume, where 100 ng of 3’ adapter-ligated tRNA and 0.5 µM reverse transcription primer (as noted above) were mixed, denatured at 82°C for 2 min, annealed on RT for 5 min and combined on ice with 10 mM DTT, 1 U/μL RNasin Plus Ribonuclease Inhibitor (40 U/μL), 10 U/μL Induro RT (200 U/μL, NEB) in 1× Induro RT reaction buffer and incubated at 42°C for 10 min. After the incubation, 1.5 μL of 10 mM dNTPs were added to the reaction and incubated for 16 h at 42°C (Nakano et al., 2025).

After cDNA synthesis, the RNA was hydrolysed by adding 1 μL of 5 M NaOH, heated at 95°C for 3 min and transferred to ice. The cDNA was separated immediately on 6% PAA/7 M urea/0.5× TBE gel alongside Low Range ssRNA marker and visualized with SYBR Gold. Species migrating at the size range of cDNA were excised and gel slices crushed with disposable pestles in a microfuge tube. Following the addition of DNA gel elution buffer (10 mM Tris pH 8, 300 mM NaCl, 1 mM EDTA), the gel slurry was incubated on an end-over-end rotator at 4°C O/N. Gel pieces were removed with Co-star Spin-X centrifuge tube filters and cDNA was recovered from the flow-through by adding an equal volume of isopropanol, 2 µL of GlycoBlue and precipitating at −70°C for at least 1 h. The precipitated cDNA was pelleted at 17,000 g for 1 h at 4°C, washed twice with 1 mL ice-cold 80% EtOH with centrifugation in between washes at 17,000 g for 20 min at 4°C. The pellet was dried at 50°C for 5 min and dissolved in 5.5 µL ddH2O per pooled RT reaction. cDNA quality was assessed on TapeStation (Agilent) using HS RNA ScreenTape.

cDNA circularization and library construction PCR

The cDNA was circularized using CircLigase (Lucigen) and 5.5 µL of the pooled cDNA containing all the reverse transcription replicates per enzyme and isolation type. The circularized cDNA was directly used for library construction PCR using KapaHiFi (Roche) and 4 amplification cycles. The PCR products were purified using Select-a-Size DNA Clean & Concentrator MagBead Kit (Zymo) following the protocol for remaining fragment size > 100 bp by the manufacturer using 1.5 mL microfuge tubes and eluting in 12 µL with room temperature ddH2O. The purified DNA concentration was measured using Qubit dsDNA HS kit (Thermo Fischer Scientific) on a fluorometer. The libraries were pooled equimolarly and sequenced for 300 cycles on NovaSeqX 10 B XP flowcell (PE, 150 bp, Illumina).

Sequencing data analysis

Only R1 reads were used for downstream analysis. R1 reads were processed and analysed using mim-tRNAseq toolkit (v1.3.9) following the general workflow described by Behrens and Nedialkova [31] and the mim-tRNAseq documentation. mim-tRNAseq toolkit was executed with the following non-default parameters: –no-cca, –cluster-id 0.90, –min-cov 0.0005, –max-mismatches 0.1, –max-multi 4, and – remap. Remapping was enabled with a mismatch tolerance of 0.075. Reads were mapped to S. cerevisiae nuclear and mitochondrial tRNA reference sequences provided with the mim-tRNAseq package. A reference set excluding E. coli spike-in tRNAs was used, as no spike-in was included during library preparation. Reference files were supplied explicitly to mim-tRNAseq using the -t, -o, and -m parameters. Alignment and clustering were performed using GMAP (v2019.02.26). Coverage plots, read counts and mismatch profiles were generated using mim-tRNAseq’s built-in plotting functions, except mapping statistics, where the raw data was used to replot in Excel. When replicate data were summarized, values are reported as mean ± standard deviation. Correlation analyses between replicates were quantified using Pearson correlation coefficients.

Liquid chromatography mass spectrometry analysis

Sample preparation and analysis were performed as described previously [46]. The data analysis was performed using Mzmine version 4.5.37. The results were normalized using internal standard 1,3-dimethylpseudouridine. The data was visualized in R version 2025.05.1.

Supplementary Material

Supp_File_S6.xlsx
Supp_File_S2.xlsx
Supp_File_S3.xlsx
KRNB_A_2720028_SM5701.xlsx (289.6KB, xlsx)
Supp_File_S10.xlsx
Supp_File_S9.xlsx
Supplementary_Information_Pedor.pdf
Supp_File_S1.xlsx
Supp_File_S8.xlsx
Supp_File_S4.xlsx
Supp_File_S5.xlsx
KRNB_A_2720028_SM5693.xlsx (156.5KB, xlsx)
Supp_File_S7.xlsx

Acknowledgments

The authors thank Salla Kalaniemi and Sari Korhonen for their valuable technical assistance. The authors wish to acknowledge Dr. Nina Sipari, Helsinki Metabolomics Centre (formerly Viikki Metabolomics Unit) for mass spectrometry analysis, the Next Generation Sequencing Facility at Vienna BioCenter Core Facilities (VBCF), member of the Vienna Biocenter (VBC), Austria, for tRNA sequencing, the HiLIFE Biocomplex Unit, University of Helsinki – a member of Instruct-ERIC Centre Finland, FINStruct, and Biocenter Finland – for high-speed centrifugation services. All schematic representations created with BioRender.com and modified in Inkscape version 1.4.3. Finally, the authors thank all members of the RNAcious laboratory for their insightful intellectual discussions regarding this work. Open access is funded by Helsinki University Library.

Funding Statement

This work was supported by the Novo Nordisk Foundation grant no. [NNF19OC0054454] to L.P.S., the Research Council of Finland grant no. [354906] to L.P.S., and the Sigrid Jusélius Foundation grant no. [240192] to L.P.S. J.K.P., P.G., and M.R. are fellows of the Doctoral Programme in Integrative Life Science, University of Helsinki. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding bodies.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support this study are available from the corresponding author upon reasonable request. All MRT-tRNA-seq raw files generated during this study are available for download on the NCBI Sequence Read Archive (SRA) database under BioProject accession number PRJNA1427126.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/15476286.2026.2720028

References

  • [1].Doherty J, Guo M.. Transfer RNA. In: Bradshaw RA, Stahl PD, editors. Encyclopedia of cell biology. Cambridge, Massachusetts, USA: Academic Press; 2016. p. 309–340. doi: 10.1016/B978-0-12-394447-4.10039-2 [DOI] [Google Scholar]
  • [2].Dong J, Qiu H, Garcia-Barrio M, et al. Uncharged tRNA activates GCN2 by displacing the protein kinase moiety from a bipartite tRNA-Binding domain. Mol Cell. 2000;6(2):269–279. doi: 10.1016/S1097-2765(00)00028-9 [DOI] [PubMed] [Google Scholar]
  • [3].Pavlova NN, King B, Josselsohn RH, et al. Translation in amino-acid-poor environments is limited by tRnagln charging. Elife. 2020;9:e62307. doi: 10.7554/eLife.62307 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [4].Akiyama Y, Ivanov P. tRNA-derived RNAs: biogenesis and roles in translational control. WIREs RNA. 2023;14(6):e1805. doi: 10.1002/wrna.1805 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [5].Marquet R, Isel C, Ehresmann C, et al. tRnas as primer of reverse transcriptases. Biochimie. 1995;77:113–124. doi: 10.1016/0300-9084(96)88114-4 [DOI] [PubMed] [Google Scholar]
  • [6].Ward C, Beharry A, Tennakoon R, et al. Mechanisms and delivery of tRNA therapeutics. Chem Rev. 2024;124(12):7976–8008. doi: 10.1021/acs.chemrev.4c00142 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [7].Su Z, Wilson B, Kumar P, et al. Non-canonical roles of tRnas: tRNA fragments and beyond. Annu Rev Genet. 2020;54(1):47–69. doi: 10.1146/annurev-genet-022620-101840 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [8].Berg MD, Brandl CJ. Transfer RNAs: diversity in form and function. RNA Biol. 2020;18(3):316–339. doi: 10.1080/15476286.2020.1809197 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [9].Padhiar NH, Katneni U, Komar AA, et al. Advances in methods for tRNA sequencing and quantification. Trends Genet. 2024;40(3):276–290. doi: 10.1016/j.tig.2023.11.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [10].Kompatscher M, Gonnella I, Erlacher M. Studying the function of tRNA modifications: experimental challenges and opportunities. J Mol Biol. 2025;437(16):168934. doi: 10.1016/j.jmb.2024.168934 [DOI] [PubMed] [Google Scholar]
  • [11].Clark WC, Evans ME, Dominissini D, et al. tRNA base methylation identification and quantification via high-throughput sequencing. RNA. 2016;22(11):1771–1784. doi: 10.1261/rna.056531.116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [12].Cozen AE, Quartley E, Holmes AD, et al. ARM-seq: AlkB-facilitated RNA methylation sequencing reveals a complex landscape of modified tRNA fragments. Nat Methods. 2015;12(9):879–884. doi: 10.1038/nmeth.3508 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [13].Zheng G, Qin Y, Clark WC, et al. Efficient and quantitative high-throughput tRNA sequencing. Nat Methods. 2015;12(9):835–837. doi: 10.1038/nmeth.3478 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [14].Scheepbouwer C, Aparicio-Puerta E, Gomez-Martin C, et al. ALL-tRnaseq enables robust tRNA profiling in tissue samples. Genes Dev. 2023;37(5–6):243–257. doi: 10.1101/gad.350233.122 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15].Gogakos T, Brown M, Garzia A, et al. Characterizing expression and processing of precursor and mature human tRnas by hydro-tRnaseq and PAR-CLIP. Cell Rep. 2017;20(6):1463–1475. doi: 10.1016/j.celrep.2017.07.029 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [16].Behrens A, Rodschinka G, Nedialkova DD. High-resolution quantitative profiling of tRNA abundance and modification status in eukaryotes by mim-tRnaseq. Mol Cell. 2021;81(8):1802–1815.e7. doi: 10.1016/j.molcel.2021.01.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [17].Nakano Y, Gamper H, McGuigan H, et al. Genome-wide profiling of tRNA modifications by Induro-tRnaseq reveals coordinated changes. Nat Commun. 2025;16(1):1047. doi: 10.1038/s41467-025-56348-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [18].Mohr S, Ghanem E, Smith W, et al. Thermostable group II intron reverse transcriptase fusion proteins and their use in cDNA synthesis and next-generation RNA sequencing. RNA. 2013;19(7):958–970. doi: 10.1261/rna.039743.113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [19].Zhao C, Liu F, Pyle AM. An ultraprocessive, accurate reverse transcriptase encoded by a metazoan group II intron. RNA. 2018;24(2):183–185. doi: 10.1261/rna.063479.117 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [20].Zhao C, Pyle AM. Crystal structures of a group II intron maturase reveal a missing link in spliceosome evolution. Nat Struct Mol Biol. 2016;23(6):558. doi: 10.1038/nsmb.3224 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [21].Lucas MC, Pryszcz LP, Medina R, et al. Quantitative analysis of tRNA abundance and modifications by nanopore RNA sequencing. Nat Biotechnol. 2024;42(1):72–86. doi: 10.1038/s41587-023-01743-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [22].Maio G, Guo L-T, Olson S, et al. Improved long-transcript representation in Oxford Nanopore direct RNA sequencing with UltraMarathonRT. bioRxiv. 2026. doi: 10.64898/2025.12.10.693495 [DOI] [Google Scholar]
  • [23].Alings F, Sarin LP, Fufezan C, et al. An evolutionary approach uncovers a diverse response of tRNA 2-thiolation to elevated temperatures in yeast. RNA. 2015;21(2):202–212. doi: 10.1261/rna.048199.114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [24].Gregorova P, Heinonen M-M, Laarne MM, et al. Protocol for rapid tRNA enrichment and chemiluminescent northern blot detection of tRNA and tRNA-derived fragments. Star Protoc. 2026;7(1):104357. doi: 10.1016/j.xpro.2026.104357 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [25].Guo LT, Adams RL, Wan H, et al. Sequencing and structure probing of long RNAs using MarathonRT: a next-generation reverse transcriptase. J Mol Biol. 2020;432(10):3338–3352. doi: 10.1016/j.jmb.2020.03.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [26].Lamer T, van Belkum MJ, Wijewardane A, et al. SPI “sandwich”: combined SUMO-Peptide-intein expression system and isolation procedure for improved stability and yield of peptides. Protein Sci. 2022;31(5):e4316. doi: 10.1002/pro.4316 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [27].Baykov AA, Evtushenko OA, Avaeva SM. A malachite green procedure for orthophosphate determination and its use in alkaline phosphatase-based enzyme immunoassay. Anal Biochem. 1988;171(2):266–270. doi: 10.1016/0003-2697(88)90484-8 [DOI] [PubMed] [Google Scholar]
  • [28].Suárez ASG, Stefan A, Lemma S, et al. Continuous enzyme-coupled assay of phosphate- or pyrophosphate-releasing enzymes. Biotechniques. 2012;53(2):99–103. doi: 10.2144/000113905 [DOI] [PubMed] [Google Scholar]
  • [29].Pedor JK, Gregorova P, Kalaniemi SM, et al. One-step affinity purification of MarathonRT reverse transcriptase for RNA sequencing applications. Bio-protocol. 2026;16(1398):e5703. doi: 10.21769/BioProtoc.5703 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [30].Jiang S, Nail SL. Effect of process conditions on recovery of protein activity after freezing and freeze-drying. Eur J Pharm Biopharm. 1998;45(3):249–257. doi: 10.1016/S0939-6411(98)00007-1 [DOI] [PubMed] [Google Scholar]
  • [31].Behrens A, Nedialkova DD. Experimental and computational workflow for the analysis of tRNA pools from eukaryotic cells by mim-tRnaseq. Star Protoc. 2022;3(3):101579. doi: 10.1016/j.xpro.2022.101579 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [32].Percudani R, Pavesi A, Ottonello S. Transfer RNA gene redundancy and translational selection in Saccharomyces cerevisiae. J Mol Biol. 1997;268(2):322–330. doi: 10.1006/jmbi.1997.0942 [DOI] [PubMed] [Google Scholar]
  • [33].Sordyl D, Boileau E, Bernat A, et al. MODOMICS: a database of RNA modifications and related information. 2025 update and 20th anniversary. Nucleic Acids Res. 2026;54(D1):D219–25. doi: 10.1093/nar/gkaf1284 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [34].Sprinzl M, Horn C, Brown M, et al. Compilation of tRNA sequences and sequences of tRNA genes. Nucleic Acids Res. 1998;26(1):148–153. doi: 10.1093/nar/26.1.148 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [35].Phizicky EM, Hopper AK. The life and times of a tRNA. RNA. 2023;29(7):898–957. doi: 10.1261/rna.079620.123 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [36].Watkins CP, Zhang W, Wylder AC, et al. A multiplex platform for small RNA sequencing elucidates multifaceted tRNA stress response and translational regulation. Nat Commun. 2022;13(1):2491. doi: 10.1038/s41467-022-30261-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [37].Guo L-T, Grinko A, Olson S, et al. Characterization and implementation of the MarathonRT template-switching reaction to expand the capabilities of RNA-Seq. RNA. 2024;30(11):1495–1512. doi: 10.1261/rna.080032.124 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [38].Guo L-T, Pyle AM. End-to-end RT-PCR of long RNA and highly structured RNA. Methods Enzymol. 2023;691:3–15. [DOI] [PubMed] [Google Scholar]
  • [39].Araujo Tavares R de C, Mahadeshwar G, Wan H, et al. MRT-ModSeq – rapid detection of RNA modifications with MarathonRT. J Mol Biol. 2023;435(22):168299. doi: 10.1016/j.jmb.2023.168299 [DOI] [PubMed] [Google Scholar]
  • [40].Chou C-L, Grinko A, Guo L-T, et al. Single-cell RNA-seq using UltraMarathonRT expands the known transcriptome. bioRxiv. 2025. doi: 10.1101/2025.10.06.680646 [DOI] [Google Scholar]
  • [41].Shi J, Zhang Y, Tan D, et al. PANDORA-seq expands the repertoire of regulatory small RNAs by overcoming RNA modifications. Nat Cell Biol. 2021;23(4):424–436. doi: 10.1038/s41556-021-00652-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [42].Guerrero F, Ciragan A, Iwaï H. Tandem SUMO fusion vectors for improving soluble protein expression and purification. Protein Expr Purif. 2015;116:42–49. doi: 10.1016/j.pep.2015.08.019 [DOI] [PubMed] [Google Scholar]
  • [43].Ernst O, Zor T. Linearization of the Bradford protein assay. J Vis Exp. 2010;38(38):1918. doi: 10.3791/1918 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [44].Canady TD, Telmer CA, Oyaghire SN, et al. In vitro reversible translation control using γpNA probes. J Am Chem Soc. 2015;137(32):10268–10275. doi: 10.1021/jacs.5b05351 [DOI] [PubMed] [Google Scholar]
  • [45].McGlincy NJ, Ingolia NT. Transcriptome-wide measurement of translation by ribosome profiling. Methods. 2017;126:112–129. doi: 10.1016/j.ymeth.2017.05.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [46].Gregorova P, Sipari NH, Sarin LP. Broad-range RNA modification analysis of complex biological samples using rapid C18-UPLC-MS. RNA Biol. 2021;18(10):1382–1389. doi: 10.1080/15476286.2020.1853385 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supp_File_S6.xlsx
Supp_File_S2.xlsx
Supp_File_S3.xlsx
KRNB_A_2720028_SM5701.xlsx (289.6KB, xlsx)
Supp_File_S10.xlsx
Supp_File_S9.xlsx
Supplementary_Information_Pedor.pdf
Supp_File_S1.xlsx
Supp_File_S8.xlsx
Supp_File_S4.xlsx
Supp_File_S5.xlsx
KRNB_A_2720028_SM5693.xlsx (156.5KB, xlsx)
Supp_File_S7.xlsx

Data Availability Statement

The data that support this study are available from the corresponding author upon reasonable request. All MRT-tRNA-seq raw files generated during this study are available for download on the NCBI Sequence Read Archive (SRA) database under BioProject accession number PRJNA1427126.


Articles from RNA Biology are provided here courtesy of Taylor & Francis

RESOURCES