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Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays

doi: 10.3791/56898 Published: January 16, 2018
* These authors contributed equally


We describe an original transfer RNA analysis platform named SPOt (Streamlined Platform for Observing tRNA). SPOt simultaneously measures cellular levels of all tRNAs in biological samples, in only three steps, and in less than 24 hours.


Transfer RNAs (tRNA) are abundant short non-coding RNA species that are typically 76 to 90 nucleotides in length. tRNAs are directly responsible for protein synthesis by translating codons in mRNA into amino acid sequences. tRNAs were long considered as house-keeping molecules that lacked regulatory functions. However, a growing body of evidence indicates that cellular tRNA levels fluctuate in correspondence to varying conditions such as cell type, environment, and stress. The fluctuation of tRNA expression directly influences gene translation, favoring or repressing the expression of particular proteins. Ultimately comprehending the dynamic of protein synthesis requires the development of methods able to deliver high-quality tRNA profiles. The method that we present here is named SPOt, which stands for Streamlined Platform for Observing tRNA. SPOt consists of three steps starting with metabolic labeling of cell cultures with radioactive orthophosphate, followed by guanidinium thiocyanate-phenol-chloroform extraction of radioactive total RNAs and finally hybridization on in-house printed macroarrays. tRNA levels are estimated by quantifying the radioactivity intensities at each probe spot. In the protocol presented here we profile tRNAs in Mycobacterium smegmatis mc2155, a nonpathogenic bacterium often used as a model organism to study tuberculosis.


Cellular tRNA levels fluctuate according to conditions such as cell type, environment, and stress1,2,3. SPOt, Streamlined Platform for Observing tRNA, is an original, reliable, and straightforward technique that allows fast and precise quantification of transfer RNA levels in laboratory-grown organisms.

tRNAs have remarkably stable secondary and tertiary structures4. They also display numerous post-transcriptional modifications5. These features represent significant structural and sequence roadblocks biasing or sometimes preventing direct and reproducible tRNA profiling using standard benchmark RNA quantification techniques6. Research groups around the world were forced to develop creative but often convoluted techniques to assess cellular tRNA levels. Some of these methods include: (1) two-dimensional electrophoretic separation of metabolically labeled tRNAs combined with methodical spot assignment by Northern blot1; (2) individual quantification by Northern blot using carefully standardized radioactive DNA probes7; (3) post-extraction labeling with cyanine fluorochromes followed by microarray analysis3, and (4) in vitro stripping of tRNA modifications using recombinant demodification enzymes combined with reverse transcription and subsequent high-throughput sequencing8.

SPOt is a simple and original combination of two standard and straightforward approaches: (1) RNA body labeling, which consists in the synthesis, in growing organisms, of radioactive total RNAs and (2) tRNA macroarrays, a systematic and miniaturized genomic tool optimized for tRNA segregation.

Samples are streamlined from living organisms to the quantification platform. They are directly analyzed after extraction and not processed any further which significantly limits biases compared to techniques requiring post-extraction amplification or enzymatic treatments. SPOt is versatile and can be easily combined to polysome fractionation to identify and quantify tRNA subpopulations that are physically associated with translating ribosomes.

The protocol presented here is optimized for Mycobacterium smegmatis, and it was also successfully used to profile tRNAs in Escherichia coli9, Saccharomyces cerevisiae10, mouse, and human cell cultures11.


1. Culture and metabolic labeling

  1. Poke once the center of the cap of a sterile 1.5 mL micro-centrifuge tubes with a 18-gauge needle to allow proper aeration. Inoculate 500 µL of supplemented sterile 7H9 broth with 5 µL of M. smegmatis from a starter culture grown overnight12.
    NOTE: The recipe for one liter of 7H9 broth is: 4.7 g Commercial 7H9 powder, 2 mL Glycerol, 1 mL Tween 80, 0.85 g NaCl, 5 g Albumin, 2 g Dextrose, H2O (to bring total volume to 1 L).
    1. (CAUTION) Following standard radioprotection practices, spike the culture media with 20 µCi/mL of [32P] Na2HPO4. Grow bacteria at 37 °C and 1,200 rpm agitation, in a shaker incubator placed behind a 9-mm thick acrylic shield.
  2. At midlog phase (O.D.600 nm ~0.5), transfer the entire culture into a 2-mL screw-cap tube and pellet radioactive bacteria at room temperature by centrifuging for 2 min at 10,000 x g. Collect supernatant containing unincorporated radioactive orthophosphate in appropriate waste container.

2. Preparation of total RNAs

NOTE: Total RNAs are extracted from bacterial pellets using a commercial RNA extraction reagent (containing guanidinium thiocyanate, phenol and chloroform) following the manufacturer's protocol.

  1. Add 1 mL of commercial RNA extraction reagent and approximately 200 µL of glass beads onto the pellet. Cap the tube securely and disrupt the bacterial in a homogenizer for 2 min under maximum agitation, (setting number five on chosen instrument (see the Table of Materials)).
  2. Centrifuge sample at 12,000 x g for 10 min at 4 °C. Transfer the supernatant to a new 2-mL tube and discard the beads appropriately. Add 0.2 mL of chloroform and shake tube vigorously by hand for 15 s. Centrifuge at 12,000 x g for 15 min at 4 °C.
  3. Collect the aqueous phase of the sample into a new tube by angling the tube at 45°. Avoid drawing any of the interphase or organic layer. Add 2 µL of colored precipitant and 0.5 mL of 100% isopropanol. Shake the tube vigorously by hand for 5 s. Centrifuge at 12,000 x g for 10 min at 4°C.
  4. Remove the supernatant from the tube and discard appropriately as the liquid fraction may contain traces of radioactivity. Air dry pellet for 5 min then resuspend in 200 µL of 2X saline-sodium citrate (SSC), 0.1% (w/v) sodium dodecyl sulfate (SDS) final.
    NOTE: The composition of stock 20 X SSC is 3.0 M NaCl, 0.3 M sodium citrate, pH 7.0.

3. Preparation of 96 well printer plates

NOTE: tRNA microarrays are manually printed with forty two 70-mer DNA oligonucleotides complementary to the 3' end of each M. smegmatis tRNA (terminal CCA excluded) using an eight-pin arrayer. The sequences of the DNA oligonucleotide probes as well as the probe layout in the well-plate and the array are provided (Supplementary File 1- sheet 1 to 3 respectively).

  1. Design DNA probes by first retrieving tRNA sequences or tRNA encoding genes from tRNA databases such as the Genomic tRNA Database13. Trim conserved 3' end CCA if encoded. Reverse complement the resulting sequence. Order probe based on the first 70 nucleotides.
  2. Resuspend dry DNA probes in water. Adjust probes concentration to 100 µM. In a 96 well-plate, prepare 120 µL of 50 µM oligos in 3X SSC, 0.01% (w/v) SDS final (dilute 60 µL of stock probes in individual well with 60 µL of 6X SSC , 0.01% (w/v) SDS.
  3. Cover plate with tin foil to prevent evaporation or contamination, freeze immediately and keep at -20 °C until needed.

4. Array printing

  1. Thaw the 96-well plate at room temperature (takes approximately 20 min).
  2. Label amine-coated glass slides with a diamond pen. Place slides into indexing unit. Follow the grid placements and do as follows.
    1. Carefully dip the replicator pins in the wells.
    2. Gently print the array on the glass slides, using minimal pressure (you will feel a small resistance). Continue printing without cleaning the arrayer until finished with block A.
  3. When ready to move on to the next block, follow the washing procedure described below.
    1. Dip replicator in the 5% bleach and gently shake.
    2. Press replicator into absorbent paper.
    3. Dip replicator in the distilled water, gently shake, and press into paper. Repeat this step once.
    4. Dip replicator in isopropanol, gently shake, and press into the paper.
    5. Dry the replicator on the fan for about 20 s before moving on to the next block of the 96-well plate. Continue to desired number of prints.
  4. Allow the slides to dry then crosslink the oligos to the slide using a 254-nm UV crosslinker.
    1. Set the energy level to 999,990 µJ/cm2.
    2. Put the slides face up on a clean surface in the crosslinker. Press "start".
  5. Block the arrays overnight in 450 mL of blocking solution on a magnetic stirrer, at room temperature and under slow agitation. Collect and reuse blocking solution up to four times.
    NOTE: The recipe for the blocking solution is: 125 mM phosphate buffer (NaH2PO4/Na2HPO4-) pH 7.2, 2.25% SDS (w/v), 0.5 mM EDTA, 0.5X SSC, 1% BSA (w/v).
  6. Wash the slides 2 times for 5 min at room temperature in 500 mL of distilled water. Dry the slides by centrifuging for 10 s at room temperature in a microarray centrifuge. Store arrays in a dry and dark place for up to 6 months.

5. Array hybridization

  1. Prior to hybridization rinse slides in boiling water and dry by centrifugation (as in 4.6).
  2. Place array inside a hybridization cassette and load radiolabeled RNA sample.
  3. Run the automated hybridization-washing station for maximum reproducibility.
    1. Program steps as following. Condition gaskets for 2 min at 75 °C. Introduce probe at 60 °C.
      Denature probes and samples 5 min at 90 °C. Hybridize samples for 3 h at 60 °C.
      1. Wash slides at 50 °C twice with 2X SSC, 0.1% (w/v) SDS, flow 10 s and hold 20 s. Wash slides at 42 °C twice with 0.1X SSC, 0.1% SDS, flow 10 s and hold 20 s. Wash slides at 42 °C twice with 0.1 X SSC, flow 10 s and hold 20 s.
  4. Dry slides by centrifugation (as in 4.6).

6. Array quantification

  1. Wrap slides using a thin plastic film. Check slides for radioactive signal using a Geiger counter on its most sensitive setting. Expose slides onto a storage phosphor screen in an exposure cassette at room temperature for 10 to 90 h depending on signal strength.
    NOTE: As sensitivity of Geiger counters vary from one instrument to another, exposure times must be optimized empirically.
  2. Scan slide at 50 µm resolution using a phosphorimager. Quantify and background-subtract radioactivity intensities at each probe spot using the free Image J software upgraded with a microarray profiler.
  3. Organize and process data using an electronic spreadsheet. Generate heat maps using the conditional formatting tool. Represent for example each probe signal as a fraction (expressed in ‰) of the total probe signal.

Representative Results

Three independent biological replicates show that, under the tested growth conditions, all M. smegmatis tRNAs are expressed above background level (Figure 1). In this particular experiment, the observed standard deviation for each probe is comprised between 2% (Arg (TCT)) and 22% (Cys (GCA)) with a median at 5% (Figure 1). False changes between replicates are significantly influenced by factors such as array preparation and hybridization. High reproducibility is achieved through careful and consistent array printing as well as automated sample hybridization. There is a 5-fold difference between tRNA Ile (GAT) and tRNA (Val (TAC), the highest and lowest abundant species respectively. SPOt shows that the expression of tRNA isoacceptors is not uniform. Isoacceptors are species that hold the same amino acid but display different anticodon sequences and therefore decode different codons on mRNAs. For example, all Alanine isoacceptors are expressed at similar levels, whereas the highest and lowest Arginine accepting tRNAs differ by 3-fold.

Figure 1
Figure 1: Representative tRNA macroarray results. (A) Scanned bacterial, mouse and Human macroarrays. M. smegmatis arrays use only 43 probes instead of 48 for mouse and Human. As a consequence, the bacterial array displays 40 empty spots (probes are replicated eight times on each array) that blend with the background. Most of them are clustered in the upper left corner. (B) Histogram and heatmap representations of tRNA profiles in M. smegmatis under optimal growth conditions. Probe signals are the average of three independent experiments (including bacterial growth, metabolic labeling, extraction and array hybridization) and are expressed as per thousand values of total tRNAs. Standard deviations for the three replicates are indicated as error bars and shades of orange on the histogram and heatmap respectively. Please click here to view a larger version of this figure.


Beta particle emissions are known bacteriostatic and bactericidal agents14, however radiations in the tested range have no significant impact on cell fitness. Scintillation counting showed that the radioactivity is incorporated into 25% of total-cell extracts and subsequently, 1% of purified total RNAs.

The probes' identical sizes, comparable melting temperature and GC content, along with a uniform protocol for macroarray spotting, hybridization and quantification allows for unbiased measurement of tRNA levels directly from spot signals.

SPOt is reproducible and specific. Its large dynamic range and easily adjustable threshold allows profiling low abundant species, such as tRNAs associated with polysomes, simply by prolonging array exposure times9. After the initial investment for the necessary equipment, the running cost per sample, including consumables, averages $15 per samples.

SPOt is applicable to any organism whose genome is available for probe design. Model organisms that are grown in vitro are ideal candidates for metabolic labeling. As mammalian genomes often encode many isodecoders (tRNAs that share identical anticodons but display small differences in their body sequences) probes need to be partially degenerated to preserve homogenous hybridization of close tRNA species. Finally, adherent mammalian cells yield typically lower amounts of total RNA compared to organisms grown in suspension such as M. smegmatis, so cultures need to be substantially scaled up.


No conflict of interest declared.


This work was supported by a SC INBRE grant from the National Institute of General Medical Science - NIH (P20GM103499 to R.G.) and grants CA555536 & CA154664 from the National Cancer Institute to P.H.H. This program was supported in part by a grant to the College of Charleston from the Howard Hughes Medical Institute through the Pre-college & Undergraduate Science Education Program and by grants from the National Center for Research Resources (5 P20 RR016461) and the National Institute of General Medical Sciences (8 P20 GM103499) from the National Institutes of Health.


Name Company Catalog Number Comments
Glass slide indexing system V&P Scientific, Inc. VP 470
Glass slide arrayer replicator V&P Scientific, Inc. VP 478
96 well microplate indexing system V&P Scientific, Inc. VP 472
Wash and blot station V&P Scientific, Inc. VP 475
Replicator pin dryer V&P Scientific, Inc. VP 474
Amine coated slides Molecular Devices K2615
Hybridizer / Automated hybridization and washing station Digilab Hyb10022
Shaker incubator Eppendorf Themomixer 05-400-200
Screw cap 2 ml tubes Thermo Scientific 21-403-201
[32P] Na2HPO4 Perkin Elmer NEX011001MC
Guanidinium thiocyanate-phenol-chloroform (Trizol) Invitrogen 15596026
0.5 mm glass beads Research Products International Corp. 9831
Mini bead mill VWR 25-020
Storage phosphore screen Fujifilm BAS-IP SR 0813
Phosphorimager GE Healthcare Typhoon FLA7000
DNA oligonucleotides IDT N/A
UV crosslinker Spectroline Select series 254 nm
Microarray centrifuge Arrayit Corporation MHC110V
Mycobacterium smegmatis ATCC 700084
Single-use needles BD (Becton Dickinson) 305185
2 ml centrifuge tube Fisherbrand 14-666-317
Precipitant (GlucoBlue) Invitrogen AM9516
7H9 broth Difco 271310
Chloroform Fisher Chemicals C298-500
Isopropanol Fisher Chemicals A451-4
20 X SSC Lonza 51205
SDS Fisher Bioreagents BP166-100
hybridisation cassette GE Healthcare 63-0035-44
Glycerol Fisher Scientific BP229-1
Tween 80 Amresco M126-100ML
NaCl Fisher Scientific BP358-212
Albumin Spectrum Chemicals A3611
Dextrose Fisher Chemicals D16-1
EDTA (Ethylenediaminetetraacetic Acid) Fisher Bioreagents BP2482-500
0.5 M Phosphate buffer pH 7.2 Alfa Aesar AAJ63974AP



  1. Emilsson, V., Kurland, C. G. Growth rate dependence of transfer RNA abundance in Escherichia coli. EMBO J. 9, (13), 4359-4366 (1990).
  2. Dittmar, K. A., Goodenbour, J. M., Pan, T. Tissue-specific differences in human transfer RNA expression. PLoS Genet. 2, (12), e221 (2006).
  3. Pavon-Eternod, M., Gomes, S., Geslain, R., Dai, Q., Rosner, M. R., Pan, T. tRNA over-expression in breast cancer and functional consequences. Nucleic Acids Res. 37, (21), 7268-7280 (2009).
  4. Giegé, R., Jühling, F., Pütz, J., Stadler, P., Sauter, C., Florentz, C. Structure of transfer RNAs: similarity and variability. Wiley Interdiscip Rev RNA. 3, (1), 37-61 (2012).
  5. Machnicka, M. A., Olchowik, A., Grosjean, H., Bujnicki, J. M. Distribution and frequencies of post-transcriptional modifications in tRNAs. RNA Biol. 11, (12), 1619-1629 (2014).
  6. Torres, A. G., Piñeyro, D., Rodríguez-Escribà, M., Camacho, N., Reina, O., Saint-Léger, A., Filonava, L., Batlle, E., Ribas de Pouplana, L. Inosine modifications in human tRNAs are incorporated at the precursor tRNA level. Nucleic Acids Res. 43, (10), 5145-5157 (2015).
  7. Cognat, V., Deragon, J. M., Vinogradova, E., Salinas, T., Remacle, C., Maréchal-Drouard, L. On the evolution and expression of Chlamydomonas reinhardtii nucleus-encoded transfer RNA genes. Genetics. 179, (1), 113-123 (2008).
  8. Zheng, G., Qin, Y., Clark, W. C., Dai, Q., Yi, C., He, C., et al. Efficient and quantitative high-throughput tRNA sequencing. Nat Methods. 12, (9), 835-837 (2015).
  9. Grelet, S., McShane, A., Hok, E., Tomberlin, J., Howe, P. H., Geslain, R. SPOt: A novel and streamlined microarray platform for observing cellular tRNA levels. PLoS One. 12, (5), e0177939 (2017).
  10. Eriani, G., Karam, J., Jacinto, J., Morris Richard, E., Geslain, R. MIST, a Novel Approach to Reveal Hidden Substrate Specificity in Aminoacyl-tRNA Synthetases. PLoS One. 10, (6), e0130042 (2015).
  11. Grelet, S., McShane, A., Geslain, R., Howe, P. H. Pleiotropic Roles of Non-Coding RNAs in TGF-β-Mediated Epithelial-Mesenchymal Transition and Their Functions in Tumor Progression. Cancers. 9, (7), (2017).
  12. Belanger, A. E., Hatfull, G. F. Exponential-phase glycogen recycling is essential for growth of Mycobacterium smegmatis. J Bacteriol. 181, (21), 6670-6678 (1999).
  13. Chan, P. P., Lowe, T. M. GtRNAdb: A database of transfer RNA genes detected in genomic sequence. Nucl. Acids Res. 37, (Database issue), D93-D97 (2009).
  14. Schmidt, C. F. The Effect of Radioactive Phosphorus upon a Suspension of Escherichia coli. J Bacteriol. 55, (5), 705-710 (1948).
Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays
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Cite this Article

Emetu, S., Troiano, M., Goldmintz, J., Tomberlin, J., Grelet, S., Howe, P. H., Korey, C., Geslain, R. Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays. J. Vis. Exp. (131), e56898, doi:10.3791/56898 (2018).More

Emetu, S., Troiano, M., Goldmintz, J., Tomberlin, J., Grelet, S., Howe, P. H., Korey, C., Geslain, R. Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays. J. Vis. Exp. (131), e56898, doi:10.3791/56898 (2018).

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