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
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.
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).
4. Array printing
5. Array hybridization
6. Array quantification
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: 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.
The authors have nothing to disclose.
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.
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 |