Skip to main content
STAR Protocols logoLink to STAR Protocols
. 2025 Sep 12;6(4):104085. doi: 10.1016/j.xpro.2025.104085

Protocol for RNA modification analysis by UHPLC-QqQ MS

Yueh-Lin Tsai 1,2,, Nan Dai 1, Ivan R Corrêa Jr 1,3,∗∗
PMCID: PMC12766409  PMID: 40944909

Summary

Over 170 RNA modifications have been reported across domains of life. Here, we present a protocol for identifying and quantifying modified nucleosides in RNA using ultra-high-performance liquid chromatography coupled with triple-quadrupole mass spectrometry (UHPLC-QqQ MS). We describe steps for preparing nucleoside standards, determining nucleoside retention time and mass transition, and building calibration curves for quantification. We next detail procedures for the digestion of RNA and sample analysis. This protocol was applied to RNA modification analysis in archaeal, bacterial, and eukaryotic cells.

For complete details on the use and execution of this protocol, please refer to Tsai et al.1

Subject areas: Mass Spectrometry, Biotechnology and bioengineering, Chemist

Graphical abstract

graphic file with name fx1.jpg

Highlights

  • Steps for preparing standard solutions to identify RNA modifications by LC-MS/MS

  • Instructions for building calibration curves for MS-based nucleoside quantification

  • Guidance on digesting RNA to nucleosides and performing sample analysis


Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.


Over 170 RNA modifications have been reported across domains of life. Here, we present a protocol for identifying and quantifying modified nucleosides in RNA using ultra-high-performance liquid chromatography coupled with triple-quadrupole mass spectrometry (UHPLC-QqQ MS). We describe steps for preparing nucleoside standards, determining nucleoside retention time and mass transition, and building calibration curves for quantification. We next detail procedures for the digestion of RNA and sample analysis. This protocol was applied to RNA modification analysis in archaeal, bacterial, and eukaryotic cells.

Before you begin

Extremophilic archaea thrive in some of the most extreme environments on earth while maintaining RNA integrity and functions in part due to diverse RNA modifications introduced by dedicated enzymes.1,2,3 In thermophilic archaea, RNA modifications stabilize RNA structures and response to environmental cues.1,2,4,5,6,7,8 Therefore, the identification and quantification of modified nucleosides in distinct RNA species can help researchers understand the functions of RNA modifications and discover new RNA-modifying enzymes. However, identifying unknown RNA modifications or simultaneously detecting multiple modifications has proven challenging with conventional RNA sequencing. LC-MS/MS offers the potential for unbiased RNA modification detection within a single experiment.

This protocol describes the targeted detection and quantification of modified nucleosides in archaeal RNA samples using UHPLC-QqQ MS. We have also used this protocol for analysis of RNA isolated from Escherichia coli and Saccharomyces cerevisiae (S288C strain), and for a universal human reference RNA (Agilent #740000). The protocol comprises four main parts: (i) determining retention times and mass transitions for a panel of standard modified and unmodified nucleosides, (ii) building calibration curves, (iii) digesting RNA to nucleosides, and (iv) performing data analysis. We recently applied this protocol to profile RNA modifications from five archaeal species, resulting in the discovery of a new m7G methyltransferase.

Innovation

This protocol provides a step-by-step instruction for researchers to implement UHPLC-QqQ MS methods to identify and quantify a wide range of RNA modifications. Our approach provides researchers with a tool to globally profile RNA modifications complementing epitranscriptomic sequencing methods.

Preparation of the nucleoside standard solutions for mass transition determination

Inline graphicTiming: 1 h

Note: Timing may vary depending on the number of nucleosides in the panel.

  • 1.

    Prepare a 20 mM stock of each standard nucleoside using LC-MS grade water in a 1.5 mL microcentrifuge tube. Vortex to ensure complete dissolution.

  • 2.

    In an HPLC vial, dilute 200 μL of each 20 mM nucleoside standard stock solution to 100 μM with LC-MS grade water. The resulting solutions will be used for mass transition determination.

Note: 76 nucleoside standards were obtained from commercial sources.

Preparation of the nucleoside standard mix for retention time determination

Inline graphicTiming: 1 h

  • 3.

    Calculate the monoisotopic mass for each standard nucleoside.

  • 4.

    Combine 0.5–1 μL of each 20 mM stock into 1 mL of LC-MS grade water in a 1.5 mL HPLC vial to make a nucleoside standard mix.

Note: We recommend no more than 8 nucleosides per standard mix.

Inline graphicCRITICAL: Nucleosides with monoisotopic masses differing by 2 Da should ideally be placed in separate mixes.

Preparation of the nucleoside standard solutions for building calibration curves

Inline graphicTiming: 1–2 h

  • 5.

    Take 0.5–1 μL of each 20 mM stock and separately resuspend into 1 mL of LC-MS grade water in a 1.5 mL microcentrifuge tube.

  • 6.

    Transfer 700–800 μL of each nucleoside standard solution into a quartz cuvette.

  • 7.
    Measure absorbance of the diluted nucleoside standards using a UV spectrometer.
    • a.
      Calculate molar concentration of nucleosides using Beer’s law:
      c=A/ε·L
    • b.
      Transfer the measured nucleoside standard solutions from the quartz cuvettes back to microcentrifuge tubes. Record molar concentrations. This will be used to determine the highest concentration point of the calibration curve.
      Note: Molar concentration (c); Absorbance at λ max (A); Extinction coefficient at λ max (ε); Light path length in cm (L).
      Note: To clean the quartz cuvettes for next use, incubate inner chamber with 98% sulfuric acid for 2 h to remove residual nucleosides. Wash the cuvettes thoroughly with deionized water.
  • 8.

    Combine 100–200 μL of each measured nucleoside standard solution in same volume to make starting nucleoside standard mix in a 1.5 mL HPLC vial. If two nucleoside standards were combined, divide the recorded molar concentration from step 7 by two. The resulting number serves as the highest concentration point of the calibration curve.

Note: Include at least one internal standard in the nucleoside standard mix for relative quantification. Common internal standards are the four canonical nucleosides (A, U, G, C).

Inline graphicCRITICAL: Use calibrated electronic pipette to ensure precise volume ratio of each nucleoside standard.

  • 9.

    Conduct a serial dilution using the starting nucleoside standard mix prepared from the last step in LC-MS grade water in ½ volume ratio to 16 concentration points. For example, if the combined volume of the starting nucleoside standard mix is 800 μL, prepare 400 μL of LC-MS grade water in fifteen 1.5 mL-HPLC vials. Transfer 400 μL of the starting nucleoside standard mix to one vial, vortex vigorously, then transfer 400 μL of the diluted nucleoside mix to the next vial. Repeat the transfer steps to obtain all 16 concentration points.

Inline graphicCRITICAL: Use a calibrated electronic pipette throughout the serial dilution process.

Key resources table

REAGENT or RESOURCE SOURCE IDENTIFIER
Chemicals, peptides, and recombinant proteins

N4-acetylcytidine Biosynth NA05753
N4-Acetyl-2′-O-methylcytidine Biosynth NA08375
N6-acetyladenosine Biosynth NA159478
3-(3-amino-3-carboxypropyl) uridine Biosynth NA170442
2′-O-methyladenosine Biosynth NM05694
5-carboxycytidine Biosearch Technologies PY7598
2′-O-methylcytidine Biosynth NM06302
5-carboxymethyluridine Biosynth NC159474
5-carboxymethylaminomethyluridine Biosynth NC159491
Dihydrouridine Toronto Research Chemicals D449668
5-formylcytidine Biosearch Technologies PY7599
N6-formyladenosine Biosynth NF146409
2′-O-methylguanosine Biosynth NM02941
5-hydroxymethylcytidine Biosearch Technologies PY7596
N6-hydroxymethyladenosine Biosynth NH178111
5-hydroxyuridine Biosynth NH32540
N6-isopentenyladenosine Biosynth ND08001
2′-O-methylinosine Biosearch Technologies PR3770-B500
4-demethylwyosine Biosynth ND159486
Isowyosine Toronto Research Chemicals I918635
N6-(cis-hydroxyisopentenyl) adenosine Biosynth XZ181120
1-methyladenosine Biosynth PR3032
1,2′-O-dimethyladenosine Biosynth ND159412
1-methylguanosine Biosynth NM08574
1-methylinosine Biosynth FM163160
1-methylpseudouridine Biosearch Technologies PYA11052
N2,N2,7-trimethylguanosine Biosynth NT08918
N2,N2-dimethylguanosine Biosynth ND05647
N2,7-dimethylguanosine Biosynth ND45563
2,8-dimethyladenosine Biosynth FD144777
2-methyladenosine Biosynth NM46832
N2-methylguanosine Biosynth NM35522
N2,2′-O-dimethylguanosine Biosynth ND159480
3-methylcytidine ChemGenes RP2317
3-methylpseudouridine Biosynth NM159403
3-methyluridine Biosynth NM06185
3,2′-O-dimethyluridine Biosynth NM163076
N4,N4-dimethylcytidine Biosynth ND159405
N4,N4,2′-O-trimethylcytidine Biosynth FT144591
N4-methylcytidine Matrix Scientific 100567
N4,2′-O-dimethylcytidine Biosynth NM144592
5-methylcytidine Biosynth NM03720
5,2′-O-dimethylcytidine Biosynth NM06424
5-methyldihydrouridine Biosynth ND144868
5-methyl-2-thiouridine Biosynth NM08039
5-methyluridine Biosynth NM04922
5,2′-O-dimethyluridine Biosearch Technologies PY7650-B100
N6,N6-dimethyladenosine Biosynth ND04708
N6,N6,2′-O-trimethyladenosine Biosynth NT59826
N6-methyladenosine Biosearch Technologies PR3732
N6,2′-O-dimethyladenosine Biosearch Technologies PR3733
O6-methylguanine Biosynth NM02922
N6-methyl-N6-threonylcarbamoyladenosine Toronto Research Chemicals M696255
7-methylguanosine Santa Cruz Biotechnology sc-221113
8-methyladenosine Biosearch Technologies PR3007
5-methoxycarbonylmethyl-2-thiouridine Biosynth NM159492
5-methoxycarbonylmethyluridine Biosynth NM45525
5-methoxycarbonylmethyl-2′-O-methyluridine Biosynth FM144574
Uridine 5-oxyacetic acid methyl ester Biosynth NU159494
5-methylaminomethyl-2-thiouridine Biosynth NM159475
5-methoxyuridine Biosynth NM08028
2-methylthio-N6-isopentenyladenosine Biosynth NM30233
2-methylthio-N6-methyladenosine Biosynth NM159489
5-carbamoylmethyluridine Biosynth NC159473
Pseudouridine Biosynth NP11297
Adenosine Biosearch Technologies PR3005
Cytidine Biosearch Technologies PY7215
Guanosine Biosearch Technologies PR3703
Inosine Biosynth NI06297
Uridine Biosearch Technologies PY7780
2-thiocytidine Biosynth NT02911
2-thiouridine Biosynth NT02881
2-thio-2′-O-methyluridine Biosynth NM159407
4-thiouridine Biosynth NT06186
N6-threonylcarbamoyladenosine Biosynth NC06332
2′-O-methyluridine Biosynth NM04259
Sulfuric acid MilliporeSigma 258105
Ammonium acetate MilliporeSigma 73594-100G-F
2-propanol MilliporeSigma 1.02781
Methanol J.T. Baker 9830-03
LC-MS grade water J.T. Baker 9831-03
Nucleoside digestion mix New England Biolabs M0649S
Qubit RNA high sensitivity (HS) assay kit Thermo Fisher Scientific Q32852

Software and algorithms

MassHunter Workstation for LC/TQ Agilent Technologies M5930AA
MassHunter Optimizer Agilent Technologies G3793AA

Other

Triple-quadrupole LC/MS Agilent Technologies 6495C LC/TQ
Waters XSelect HSS T3 XP column (2.1 × 100 mm, 2.5 μm) Waters 186006151
Evolution 220 UV-vis spectrophotometer Thermo Fisher Scientific 912A0884
NanoDrop Onec microvolume UV-vis spectrophotometer Thermo Fisher Scientific ND-ONEC-W
Qubit 4 fluorometer Thermo Fisher Scientific Q33238
Eppendorf ThermoMixer F1.5 Eppendorf EP5384000020

Materials and equipment

  • UHPLC gradient buffers.
    • Buffer A: 10 mM ammonium acetate (pH 4.5).
    • Buffer B: Methanol.
    • Store buffer A and B at 25°C. Maximum storage time: 48 months.

Needle wash solution

Reagent Final concentration Amount
Isopropanol 33% 350 mL
Methanol 33% 350 mL
LC-MS grade water N/A 350 mL
Total N/A 1050 mL

Store needle wash solution at 25°C. Maximum storage time: 48 months.

Step-by-step method details

Mass transition determination

Inline graphicTiming: 16 min per nucleoside standard

This step will determine the optimal mass transition in which to monitor detection of each nucleoside. Use the optimizer in the mass spectrometer software to automatically search for the collision energy that yields the most abundant product ion for each nucleoside.

  • 1.

    Load the pre-made 100 μM nucleoside standards into the autosampler plates of the UHPLC-QqQ MS.

Inline graphicCRITICAL: Use solution containing a single standard, do not use standard mix.

  • 2.

    Set the optimizer to positive ESI mode. Set the collision energy range between 2 to 60 V.

Note: Collision energy range varies across instruments, especially between different mass spectrometer manufacturers. The collision energy range provided here is specific to the UHPLC-QqQ MS (Agilent 6495C LC/TQ) used in this protocol.

  • 3.

    Start program run. The instrument will scan for product ions of a given nucleoside precursor fragmented from the set collision energy range.

  • 4.

    Record the collision energy that generates the highest product ion counts. This will be the optimal collision energy used for monitoring mass transition of individual nucleoside.

  • 5.

    Record the mass transition at optimal collision energy.

Retention time determination

Inline graphicTiming: 15–30 min per nucleoside standard mix

Use the mass transitions obtained from the last step to search for the retention times of the nucleosides in Multiple Reaction Monitoring (MRM) mode.

  • 6.

    Load the pre-made nucleoside standard mix into autosampler plate of UHPLC-QqQ MS.

  • 7.
    Import MRM method parameters in the off-line method editor.
    • a.
      Set acquisition mode to MRM.
    • b.
      Adjust the gradient from 1% to 40% of buffer B in 26.5 min if conducting non-quantitative nucleoside identification; or 1% to 23% of buffer B in 7.5 min if conducting nucleoside quantification.
    • c.
      Import the mass transitions at optimal collision energy for nucleosides in the standard mix.
    • d.
      Save the MRM method.
  • 8.

    Run the saved MRM method in the acquisition software.

  • 9.

    Update the MRM method to Dynamic Multiple Reaction Monitoring (DMRM) mode using the acquired retention time for each nucleoside.

Note: In DMRM mode, the MS instrument only monitors the specific mass transitions at the specified retention time ranges instead of the entire chromatogram. This improves target sensitivity and peak shape.

  • 10.

    Save the DMRM method.

Build calibration curves

Inline graphicTiming: 14 h

This step establishes a calibration curve for quantification of each nucleoside as part of the nucleoside standard mix.

  • 11.

    Load the saved DMRM method with 7.5 min gradient in the acquisition software.

  • 12.

    Load each of 16 concentration solutions of the nucleoside standard mix in incremental order into the autosampler plate of the UHPLC-QqQ MS.

  • 13.

    Run at least six blanks prior to injecting the nucleoside standard mix solutions.

  • 14.

    Run each nucleoside standard mix solution in triplicate from the lowest to the highest concentration.

Inline graphicCRITICAL: Injecting standards from lowest to highest concentrations minimizes issues with carryover from the previous injection.

RNA digestion to nucleosides

Inline graphicTiming: 12 h

This step uses the Nucleoside Digestion Mix (NEB, #M0649S) to achieve one-step complete digestion and dephosphorylation of the RNA samples.

  • 15.

    Determine RNA concentration by Nanodrop or Qubit assay.

  • 16.

    Set up the nucleoside digestion reaction as follows:

Nucleoside digestion setup

Reagent Amount
RNA up to 1 μg
Nucleoside Digestion Mix Reaction Buffer (10x) 2 μL
Nucleoside Digestion Mix 1 μL
Water to 20 μL
  • 17.

    Pipette up and down the reaction mixture at least 10 times.

  • 18.

    Incubate the reaction at 37°C and shake at 300 rpm for 12 h in a thermomixer.

  • 19.

    Transfer the reaction to an HPLC vial. The sample is ready for analysis without additional cleanup.

Inline graphicPause point: Store the nucleoside digestions in −20°C freezer for no more than 6 months if not running the sample immediately.

Sample analysis

Inline graphicTiming: 15–30 min per injection

This step describes the parameter settings on UHPLC-QqQ MS while conducting both non-quantitative nucleoside identification and nucleoside quantification in digested RNA samples.

  • 20.
    Non-quantitative nucleoside identification:
    • a.
      Load the 26.5 min gradient DMRM method in the acquisition software.
    • b.
      Load the digested RNA samples into the autosampler plate.
    • c.
      Inject greater than or equivalent to 100 ng of digested RNA.

Note: Increasing the injection volume up to the sample loop capacity (20 μL sample loop capacity in this protocol) can enhance the detection sensitivity for modified nucleosides present in relatively low abundance.

  • 21.
    Nucleoside quantification:
    • a.
      Load the 7.5 min gradient DMRM method in the acquisition software.
    • b.
      Load the digested RNA samples into the autosampler plate.
    • c.
      Inject 1–5 ng of digested RNA for quantification. Ensure that the amount of each of the nucleosides to be quantified as well as the internal standard (e.g., one of the four canonical nucleosides) are within the range of the calibration curve.

Note: Inject the internal standard near its highest concentration point to maximize injection volume. Nucleoside abundance in RNA samples can be calculated by inputting the analyte mass response into the calibration curve equation. If the nucleoside abundance is outside of the upper or lower curve limit, one should adjust the sample injection volume to obtain an accurate quantification.

Expected outcomes

In this section, we describe how the combination of optimal mass transition and retention time of standards along with an accurate calibration curve can achieve maximal performance in nucleoside analysis.

Nucleoside precursor ions are prone to break at the N-glycosidic bond in the collision cell and yield nucleobase product ions (Figures 1A–1C). Therefore, the optimal m/z difference between nucleoside precursor and product ions is typically the mass of ribose. However, this difference varies depending on whether there is a modification at ribose 2′ position. For instance, the optimal precursor to product ion m/z difference is 132 for 5-methylcytidine (m5C), which does not have modifications at ribose 2′ position (Figure 1A); whereas such difference is 146 for 2′-O-methylcytidine (Cm) (Figure 1B). Nucleosides with hypermodified base could generate more than one primary product ions (Figure 1C). The precursor to product ion m/z difference is 132 for N6-isopentenyladenosine (i6A) at a lower collision energy, which is indicative of loss of ribose. While such m/z difference is 200 at a higher collision energy, suggesting simultaneous loss of ribose and the isopentenyl group (Figure 1C). We recommend monitoring all precursor to product ion transitions with mass responses of similar intensities. The most abundant product ions can be determined using the collision energy optimization program.

Figure 1.

Figure 1

Examples for optimal collision energy determination of nucleosides with simple base modification, ribose modification, and hyper base modification

(A) Predicted chemical structures of m5C precursor and product ions (258.1 -> 126.1) at optimal collision energy. The table displays the top four most abundant product ions m/z of m5C under three collision energies.

(B) Predicted chemical structures of Cm precursor and product ions (258.1 -> 112.1) at optimal collision energy. The table displays the top four most abundant product ions m/z of Cm under three collision energies.

(C) Predicted chemical structures of i6A precursor and product ions (336.1 -> 204.2; 336.1 -> 136.1) at optimal collision energies. The table displays the top four most abundant product ions m/z of i6A under four collision energies.

Using the non-quantitative nucleoside identification approach described here, we have established the mass transition and retention time of 76 standard nucleosides.1 Each modified nucleoside can be distinguished by either its mass transition, retention time, or both (Figure 2A). Isomeric nucleosides can be effectively distinguished using this approach. For instance, N2,2-dimethylguanosine (m2,2G) and N2,7-dimethylguanosine (m2,7G) share the same 312.1 -> 180.1 mass transition. However, the two isomers have different retention times and can be distinguished thereby with high confidence (Figure 2B).

Figure 2.

Figure 2

Representative DMRM chromatograms of total RNA isolated from Thermococcus kodakarensis

(A) The graph shows the mass responses of the nucleosides detected in Thermococcus kodakarensis (T. kodakarensis) total RNA. Mass signals of the four canonical nucleosides are indicated.

(B) Representative DMRM chromatogram of m2,2G and m2,7G for the mass transition 312.1 -> 180.1 with the corresponding retention times.

For accurate nucleoside quantification, the linearity of the calibration curve is critical, and all concentration points should be within the linear range of mass response. A reliable calibration curve should contain 8 concentration points with a R2 > 0.99 (Figure 3). To eliminate impacts of variation on the injection volume across samples, the quantification is performed by determining the relative abundance of the target nucleoside with the abundance of the internal standard, such as one of the four canonical nucleosides (e.g., m5U/U).

Figure 3.

Figure 3

Example of an optimal calibration curve for m5U

The graph shows a 5-methyluridine (m5U) calibration curve with 14 concentration points in the linear range and an R2 > 0.99. Each concentration point contains the mass response values of m5U measured in three technical replicates from the corresponding nucleoside standard mix solutions.

Limitations

This protocol is designed for targeted modified nucleoside identification and quantification. To confirm the identity of modified nucleosides within RNA samples, standard nucleosides with pre-determined mass transitions and retention times are necessary. In addition, complete RNA digestion eliminates the sequence context of nucleosides in the transcriptome, so this approach is only suitable for global analysis of RNA modifications. Lastly, the availability of reliable extinction coefficients is crucial for preparing accurate nucleoside standard solutions for quantification experiments.

Troubleshooting

Problem 1

The software cannot automatically find the mass transition of a given standard nucleoside (related to Step 3).

Potential solution

  • Incorrect precursor ion mass input to the software could lead to wrong mass transition search. Re-calculate the monoisotopic mass of the precursor ion.

  • Confirm the presence of the nucleoside within the standard solution using a UV spectrometer. This troubleshooting step is to rule out the absence of the target nucleoside in the standard solution.

  • Increase the injection volume. The nucleoside standard solution could be too diluted. Measure the nucleoside concentration using a UV spectrometer to determine if the target nucleoside standard is within the range.

  • Manually search for product ions using the product ion mode, which scans for product ion masses of a given precursor at a specific collision energy. Select the product ion with a reasonable abundance and reliable mass loss (e.g., loss of a ribose). Manually find a collision energy that generates the highest mass response for the selected precursor-to-product ion mass transition using MRM mode. It is important to keep in mind that the sensitivity of MS detection is dependent on the nature of the nucleoside. A weak signal for certain nucleosides may be attributed to poor fragmentation.

Problem 2

Overlapping mass transition and retention time between isomeric nucleosides (related to Step 7).

Potential solution

  • We recommend switching to a different mobile phase, such as 0.1% formic acid. For example, N4-methylcytidine (m4C) and 5-methylcytidine (m5C) have the same primary mass transition (258.1 -> 126.1) and the same retention time in ammonium acetate-methanol mobile phase. However, the retention time of the two nucleosides can be effectively distinguishable in 0.1% formic acid gradient. For details, please see Fluke et al.3

  • Search for alternative product ions using the product ion mode. Unique product ions may be present for just one of the isomeric nucleosides and can be used for mass transition monitoring.

Problem 3

Calibration curve with low linearity (related to Step 14).

Potential solution

  • An accurate serial dilution of the nucleoside standard mix is critical to obtain a linear calibration curve. If in doubt, repeat the serial dilution and re-analyze the nucleoside standard mix.

  • Calibration curves not within the linear range of mass response may lead to low linearity. Consider discarding concentration points outside the linear range of mass response (Figure 4).

  • Carryover nucleosides could impact the calibration curve linearity, especially at the low concentration points. Run enough blanks to eliminate carryover prior to building the calibration curve.

Figure 4.

Figure 4

Example of a calibration curve with concentration points outside of the linear range

The two highest concentration data points in this calibration curve outside of the linear range (indicated by arrows). Since this calibration curve was designed to measure the concentration of relatively low abundant nucleosides, the two points outside of the linear range can be discarded. However, for highly abundant species, such as the four canonical nucleosides, we recommend redoing the calibration curve.

Problem 4

The retention time of the nucleoside in the RNA sample deviates from the retention time of the standard recorded in the DMRM method (related to Step 20 and 21).

Potential solution

  • The UHPLC column has reached its injection limit (i.e., column lifetime) and this can lead to retention time shifting and peak broadening. Change to a new column and determine the new retention time for each nucleoside.

  • Overloading the HPLC column can lead to retention time shifting. Reduce the injection amount to < 2 μg.

  • Run the standard of the nucleoside in question to confirm its retention time. If the standard runs at the expected retention time, the observed peak in the analyte may indicate the presence of a different nucleoside.

Problem 5

Inconsistent quantification of nucleosides for a given RNA sample (related to Step 21).

Potential solution

  • Incomplete RNA digestion can lead to inconsistent nucleoside quantification. RNA species containing complex secondary structures and/or highly modified backbones are particularly refractory to enzyme digestion. We recommend increasing the ratio of the digestion reagent to RNA substrate or increasing the incubation time.

  • Calibration curves lose accuracy over time. Moreover, calibration curves may be affected by MS instrument tuning and maintenance procedures. Re-run the nucleoside standard mix to build a new calibration curve periodically (every 4 weeks).

  • The nucleoside of interest may be chemically unstable. Shorten the RNA digestion reaction (for instance, to 1 h), protect from the light, and immediately analyze the RNA samples or preserve the sample after digestion at −20°C.

Resource availability

Lead contact

Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Ivan R. Corrêa, Jr. (correa@neb.com).

Technical contact

Questions on the technical specifics of performing the protocol should be directed to the technical contact, Yueh-Lin Tsai (atsai@neb.com).

Materials availability

This study did not generate new unique reagents.

Data and code availability

This study did not generate/analyze datasets.

Acknowledgments

We thank Donald Comb, Jim Ellard, Salvatore Russello, and Richard J. Roberts for the continuous support of research at New England Biolabs. This work was funded by New England Biolabs, Inc.

Author contributions

Y.-L.T. and I.R.C. conceptualized the study and wrote the manuscript. N.D. reviewed and edited the manuscript.

Declaration of interests

Y.-L.T., N.D., and I.R.C. are employees of New England Biolabs, Inc. New England Biolabs is a manufacturer and vendor of molecular biology reagents. The authors declare that this affiliation does not affect the authors’ impartiality, adherence to journal standards and policies, or the availability of data.

Contributor Information

Yueh-Lin Tsai, Email: atsai@neb.com.

Ivan R. Corrêa, Jr., Email: correa@neb.com.

References

  • 1.Tsai Y.L., Wolf E.J., Fluke K.A., Fuchs R.T., Dai N., Johnson S.R., Sun Z., Elkins L., Burkhart B.W., Santangelo T.J., Corrêa I.R., Jr. Comprehensive nucleoside analysis of archaeal RNA modification profiles reveals an m(7)G in the conserved P loop of 23S rRNA. Cell Rep. 2025;44 doi: 10.1016/j.celrep.2025.115471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Fluke K.A., Fuchs R.T., Tsai Y.L., Talbott V., Elkins L., Febvre H.P., Dai N., Wolf E.J., Burkhart B.W., Schiltz J., et al. The extensive m(5)C epitranscriptome of Thermococcus kodakarensis is generated by a suite of RNA methyltransferases that support thermophily. Nat. Commun. 2024;15:7272. doi: 10.1038/s41467-024-51410-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Fluke K.A., Dai N., Wolf E.J., Fuchs R.T., Ho P.S., Talbott V., Elkins L., Tsai Y.L., Schiltz J., Febvre H.P., et al. A novel N4,N4-dimethylcytidine in the archaeal ribosome enhances hyperthermophily. Proc. Natl. Acad. Sci. USA. 2024;121 doi: 10.1073/pnas.2405999121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Ushida C., Muramatsu T., Mizushima H., Ueda T., Watanabe K., Stetter K.O., Crain P.F., McCloskey J.A., Kuchino Y. Structural feature of the initiator tRNA gene from Pyrodictium occultum and the thermal stability of its gene product, tRNA(imet) Biochimie. 1996;78:847–855. doi: 10.1016/s0300-9084(97)84337-4. [DOI] [PubMed] [Google Scholar]
  • 5.Noon K.R., Guymon R., Crain P.F., McCloskey J.A., Thomm M., Lim J., Cavicchioli R. Influence of temperature on tRNA modification in archaea: Methanococcoides burtonii (optimum growth temperature [Topt], 23 degrees C) and Stetteria hydrogenophila (Topt, 95 degrees C) J. Bacteriol. 2003;185:5483–5490. doi: 10.1128/JB.185.18.5483-5490.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Sas-Chen A., Thomas J.M., Matzov D., Taoka M., Nance K.D., Nir R., Bryson K.M., Shachar R., Liman G.L.S., Burkhart B.W., et al. Dynamic RNA acetylation revealed by quantitative cross-evolutionary mapping. Nature. 2020;583:638–643. doi: 10.1038/s41586-020-2418-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Turner B., Burkhart B.W., Weidenbach K., Ross R., Limbach P.A., Schmitz R.A., de Crécy-Lagard V., Stedman K.M., Santangelo T.J., Iwata-Reuyl D. Archaeosine Modification of Archaeal tRNA: Role in Structural Stabilization. J. Bacteriol. 2020;202:e00748-19. doi: 10.1128/JB.00748-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ohira T., Minowa K., Sugiyama K., Yamashita S., Sakaguchi Y., Miyauchi K., Noguchi R., Kaneko A., Orita I., Fukui T., et al. Reversible RNA phosphorylation stabilizes tRNA for cellular thermotolerance. Nature. 2022;605:372–379. doi: 10.1038/s41586-022-04677-2. [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.

Data Availability Statement

This study did not generate/analyze datasets.


Articles from STAR Protocols are provided here courtesy of Elsevier

RESOURCES