Here we present a method for directly measuring transfer RNA charging levels from purified Escherichia coli RNA as well as a way to compare relative levels of transfer RNA, or any other short RNA, across different samples based on the addition of spike-in cells expressing a reference gene.
Transfer RNA (tRNA) is an essential part of the translational machinery in any organism. tRNAs bind and transfer amino acids to the translating ribosome. The relative levels of different tRNAs, and the ratio of aminoacylated tRNA to total tRNA, known as the charging level, are important factors in determining the accuracy and speed of translation. Therefore, the abundance and charging levels of tRNAs are important variables to measure when studying protein synthesis, for example under various stress conditions. Here, we describe a method for harvesting tRNA and directly measuring both the relative abundance and the absolute charging level of specific tRNA species in Escherichia coli. The tRNA is harvested in such a way that the labile bond between the tRNA and its amino acid is preserved. The RNA is then subjected to gel electrophoresis and Northern blotting, which results in separation of the charged and uncharged tRNAs. The levels of specific tRNAs in different samples can be compared due to the addition of spike-in cells for normalization. Prior to RNA purification, we add 5% of E. coli cells that overproduce the rare tRNAselC to each sample. The amount of the tRNA species of interest in a sample is then normalized to the amount of tRNAselC in the same sample. Addition of spike-in cells prior to RNA purification has the advantage over addition of purified spike-in RNAs that it also accounts for any differences in cell lysis efficiency between samples.
In the following, we present a method for quantifying specific tRNAs and measuring their charging levels by Northern blotting. The method is based on a technique first developed by Varshney et al.1. By harvesting cells into trichloroacetic acid (TCA) and keeping the samples at 0 °C throughout the RNA purification, the ester bond between the tRNA and the amino acid is conserved2,3,4. Aminoacylated tRNAs can be distinguished from their nonacylated counterparts by gel electrophoresis and Northern blotting, due to a decreased mobility of the aminoacylated tRNA in the gel, caused by the covalently bound amino acid5. Additionally, we present a protocol for normalizing tRNA quantities by addition of spike-in cells overexpressing the rarely used tRNAselC 4.
tRNAs are some of the most abundant molecules in the bacterial cell and an absolutely vital part of the translation machinery. tRNAs bind amino acids and transfer them to the translating ribosomes. The binding of amino acids to tRNAs (aminoacylation or charging) is facilitated by aminoacyl tRNA synthetases. The relative abundance of different charged tRNAs is important for ensuring the fidelity of protein synthesis, because underrepresentation of the cognate charged tRNA for a given messenger RNA (mRNA) codon increases the likelihood that a near-cognate tRNA will erroneously deliver its amino acid to the growing polypeptide chain on the ribosome6. The importance of charged tRNA is reflected in the extensive response of the E. coli cell to a severe drop in the charging levels of a tRNA; the stringent response. During the stringent response the synthesis of tRNAs, ribosomal RNAs and most mRNAs is lowered in favor of transcription of specific mRNAs associated with amino acid biosynthesis and stress survival, and the growth rate of the cells is lowered dramatically7. Furthermore, recent work by us and others has shown that E. coli actively degrades the majority of its tRNA in response to stresses that limit translation4,8, suggesting that adjustment of the tRNA levels may be important for coping with such stresses. Thus, reliable measurements of tRNA abundances and charging levels will be an important tool for fully understanding bacterial stress responses.
E.coli is commonly used to express recombinant protein and due to the differences in codon usage between species, suboptimal expression is a problem often faced9. This can be circumvented by expression of additional tRNAs needed to translate the recombinant mRNA10. Measurements of tRNA charging levels in such strains could guide troubleshooting efforts and help optimize protein expression.
This method also enables the detection of "mischarging"; a tRNA molecule aminoacylated with a non-cognate amino acid. Aminoacylation by different amino acids may cause a tRNA to migrate with slightly different velocities through polyacrylamide gels1,11. In some cases, the method can also be used to distinguish different modification patterns on otherwise identical tRNAs3.
Another established biochemical procedure for the investigation of tRNA charging levels is periodate oxidation. The method relies on the observation that aminoacylated tRNA is protected from periodate oxidation and uncharged tRNA is not. After periodate oxidation treatment the recharging of the tRNA is used to estimate the charging levels of the harvested RNA. However, the recharging of several tRNAs has been shown to be affected by the treatment thus providing some inaccuracy12. The method presented here measures charging directly from purified RNA, thus excluding any biases from chemical or enzymatic reactions. One limitation of this method is that only one tRNA species is detected at a time, so although the same Northern blot can be stripped and reprobed for multiple tRNAs, it is time-consuming and somewhat laborious to collect data on many tRNAs.
A reliable way of normalizing samples to each other is vital in studies where the goal is to compare the relative levels of a molecule across different samples. Here we introduce a normalization procedure for RNA where a small aliquot of E. coli cells overexpressing the rare tRNAselC is added as a spike-in to all the experimental samples prior to RNA purification. This method is useful not only when examining tRNAs but for relative quantification of any species of RNA when the experimental setup is such that no endogenous RNA can be trusted to be present at the same cellular concentration in all the samples. For example, the level of a "housekeeping" RNA-like ribosomal RNA is often used as an endogenous reference to compare the relative quantities of another RNA between different samples13. But this is of little use if the cellular concentration of the reference RNA varies between samples, as can be the case for ribosomal RNA if sampling occurs during a stress response15,16,17 or during entry into stationary phase17. The addition of spike-in cells to the experimental samples prior to RNA purification provides a solid and accurate way of normalization independent of the sampling setup. Another way of standardization is the addition of one or more spike-in RNAs to the experimental samples after RNA purification. However, this method does not account for any differences in RNA recovery between samples.
Using E. coli cells that overexpress the reference RNA as spike-in cells (see Figure 1) in an experiment on E. coli has the drawback that it results in addition of a small amount of exogenous E. coli total RNA to the samples. We correct for this addition by analyzing a sample containing only spike-in cells in parallel with the experimental samples (see the Northern blot in Figure 2, lane labeled "selC"). The protocol presented is developed for E. coli K-12 but is likely to be applicable for most bacterial species.
1. Preparation of bacterial cultures.
2. Preparation of spike-in cells
NOTE: The E. coli strain MAS1074, which expresses the selC gene encoding tRNAselC under the control of an isopropyl β-D-1-thiogalactopyranoside (IPTG)-inducible promoter is used as the spike-in strain.
3. Harvest of experimental samples.
4. Addition of spike-in cells
NOTE: Preparation of spike-in cells is described in Step 2.
5. Preparation of RNA
NOTE: The RNA preparation protocol described here is essentially that described by Varshney et al.1; To avoid deacylation of the aminoacylated tRNAs during purification it is important to keep the samples at acidic pH and at 0 °C throughout the course of purification. Use clean sterile tubes/flasks to hold the samples and solutions, and prepare all solutions with ultrapure (18.2 MΩ·cm resistivity) water.
6. Preparation of chemically deacylated control sample
NOTE: To distinguish the band of aminoacylated tRNA from its deacylated counterpart on the Northern blot, a chemically deacylated aliquot is prepared by alkaline treatment. For most purposes, it is sufficient to deacylate a single sample for each Northern blot.
7. Gel electrophoresis and Northern blotting
8. Design and verification of probes
NOTE: Careful design and verification of Northern blot probes is crucial to obtain reliable results and avoid unwanted cross-hybridization with other RNA species.
9. Hybridization of Northern blot
NOTE: In the following steps, the membrane is sequentially hybridized with probes complementary to the desired specific tRNAs, including a probe specific for the reference tRNAselC.
10. Stripping the membrane
NOTE: Before the membrane can be probed for another tRNA, the previous probe must first be removed by stripping the membrane.
11. Quantifying tRNA and charging levels
Using the procedure described here, the abundance and charging levels of three tRNAs were measured in E. coli K-12 before and during amino acid starvation.
The arginine auxotroph strain NF9154 (thr leu his argH thi mtl supE44) was grown for at least ten generations in MOPS minimal medium supplemented with 0.4% glycerol, 50 µg/mL threonine, leucine, arginine, and 5 µg/mL histidine at 37 °C shaking at 160 rpm. Arginine starvation was introduced by filtration of the culture and resuspension in fresh MOPS medium as above but without arginine. During arginine starvation, protein synthesis is strongly reduced, but continues at a low level using arginine released by the turnover of existing proteins. Samples were harvested at the time points indicated in Figure 4. After all samples were harvested into TCA, 5% of the MAS1074 spike-in cells overexpressing tRNAselC, was added to each sample as illustrated in Figure 1. RNA was purified from the samples, separated by electrophoresis, and blotted onto a membrane as described in the protocol. The membrane was probed for tRNAargVYZQ, tRNAgltTUVW, tRNAhisR, and tRNAselC, as seen in Figure 2. The radiation signal from each lane was quantified for each of the four probes as illustrated in Figure 3, and corrected and normalized as described in Section 11. The results are presented in Figure 4. Figure 4A shows that the levels of all the tested tRNA species rapidly decrease during amino acid starvation, as recently reported4. Figure 4B shows that the tRNA charging levels behave as expected: the charged fraction of the arginine-accepting tRNA drops rapidly upon removal of arginine from the growth medium, whereas the charging levels of the other tRNAs increase slightly upon starvation because charged tRNAs accumulate when their rate of decharging at the ribosomes decreases due to the lack of substrate for protein synthesis4. Further into the starvation period, the charged tRNA fraction decreases to approximately pre-starvation levels due to the degradation of the majority of the tRNA pool (Figure 4A), which results in a greater rate of decharging of the remaining tRNAs at the ribosomes. By contrast, the charged fraction of tRNAargVYZQ increases for at least two reasons; 1) activation of the stringent response means that mRNA, not charged tRNAarg, becomes the limiting factor for translation and 2) the total pool of tRNAarg is reduced (Figure 4A) so a larger fraction of the total tRNAarg can be charged by the same small amount of arginine. This experiment demonstrates how the simultaneous measurements of tRNA abundance and tRNA charging levels provides high quality information about the conditions for protein synthesis inside the cell.
Figure 1. Addition of spike-in cells to samples. In this example, samples from a single culture of E. coli NF915 are harvested in a time series before and during amino acid starvation. A schematic of the growth curve of NF915 is shown, where the blue dots indicate the points of sample harvest. The Y-axes are log scale. Samples of the experimental culture(s) are harvested as described in Section 3. A schematic of the growth curve of the spike-in strain MAS1074 is also shown, with the point of sample harvest indicated as a blue dot. The point of the figure is to illustrate that all the experimental samples (of E. coli NF915 in this example) receive an aliquot of spike-in cells from the same reference culture. To each sample, 5% of spike-in cells are added to the experimental cells, calculated based on the OD of the cell cultures (see Section 4). Subsequently, RNA is purified from all samples and used for Northern blots. Please click here to view a larger version of this figure.
Figure 2. Phosphor imager scan of a Northern blot probed for the indicated tRNAs. The membrane contains RNA from the E. coli strain NF915 harvested at the indicated time points before and after induction of arginine starvation (minutes). Additionally, the membrane contains two lanes of samples where spike-in cells have been omitted (-selC DA and -selC), and a lane containing RNA from the spike-in cells only (selC). The -selC DA sample contains chemically deacylated tRNA. The two bands representing the charged and uncharged tRNA species are clearly separated. Note the negligible signal from tRNAselC in the lanes without added spike-in cells. The same membrane was successively stripped and reprobed for the tRNAs indicated on the left. The boxed area in the upper blot indicates the part of the blot, which is shown for the subsequent tRNA probings. Please click here to view a larger version of this figure.
Figure 3. Quantification of Northern blot. tRNA abundance is measured using software. (A) A single lane from the Northern blot seen in Figure 2 probed for tRNAargVYZQ. The upper and lower arrow indicate the aminoacylated tRNA and the deacylated tRNA, respectively. The red lines running parallel with the lane are added and used to define the area for quantification. (B) Quantification of signal within the two broken red lines seen in (A) depicted as a graph, where the horizontal axis indicates the distance from the top of the line in (A) (in pixels), and the vertical axis shows the intensity of the signal (in counts). The two peaks containing signal originating from the aminoacylated tRNA and the deacylated tRNA, respectively, are defined manually. The data that is exported for further analysis is the value corresponding to the area under each of the two peaks. Please click here to view a larger version of this figure.
Figure 4. Representative result: Quantification of tRNA abundances and charging levels during arginine starvation. Quantification of the bands on the Northern blot shown in Figure 2. (A) The relative abundance of tRNAgltTUVW (red), tRNAargVYZQ (blue) and tRNAhisR (green). The level found at zero minutes (samples harvested just prior to the onset of starvation) is set to 1. (B) Charging level of the same three tRNAs as in (A). Please click here to view a larger version of this figure.
Probe specificity | Probe sequence |
tRNAargVYZQ | 5’-TCCGACCGCTCGGTTCGTAGC |
tRNAgluTUVW | 5’-CCTGTTACCGCCGTGAAAGGG |
tRNAhisR | 5’-CACGACAACTGGAATCACAATCC |
tRNAleuPQVT | 5’-GTAAGGACACTAACACCTGAAGC |
tRNAleuU | 5’-TATTGGGCACTACCACCTCAAGG |
tRNAleuW | 5’-CTTGCGGCGCCAGAACCTAAATC |
tRNAleuX | 5’-TATTTCTACGGTTGATTTTGAA |
tRNAleuZ | 5’-AAAATCCCTCGGCGTTCGCGCT |
tRNAlysQTVWYZ | 5’-TGCGACCAATTGATTAAAAGTCAAC |
tRNAthrV | 5’-TGGGGACCTCACCCTTACCAA |
tRNAtyrTV | 5'-TCGAACCTTCGAAGTCGATGA |
tRNAselC | 5'-ATTTGAAGTCCAGCCGCC |
Table 1. Table of suggested probe sequences for selected tRNAs in E. coli K-12.
This protocol describes how to simultaneously measure the charging level of specific E. coli tRNAs and compare the relative levels of the tRNAs in different samples. The critical points of the protocol are 1) to handle the samples in such a way that the cellular tRNA charging levels are retained, 2) to normalize tRNA quantities in such a way that relative tRNA levels in different samples can be reliably compared, and 3) to ensure the specificity of the selected probes for the tRNAs of interest. These points are addressed separately below.
tRNA purification
The tRNAs are purified from E. coli in a gentle way that is optimized to retain their cellular charging levels. It is our experience that this protocol primarily extracts RNAs shorter than 150 nt, thus tRNA constitutes a large fraction of the purified RNA. For this reason, it is not recommended to use this protocol to purify total RNA from E. coli. The protocol presented here should also be suitable for detection and quantification of other RNAs such as small RNA (sRNA) without any further adaptations. Because the RNA extraction protocol enriches for short RNA sequences it should also find use even if the sRNA under investigation is lowly expressed.
Normalization by spike-in cells
To compare the levels of the tRNA across different samples, it is necessary to normalize the tRNA levels to the levels of a transcript that is present in the same average number per cell in all the samples, in order to correct for sample-to-sample variations in RNA recovery and gel loading. For this purpose, we spike the samples with 5% of reference cells that overexpress the rare tRNAselC prior to RNA purification. The spike-in method is preferable over using an endogenous RNA as reference, because it permits the comparison of tRNA levels across conditions where no endogenous RNAs are known with certainty to be found at the same cellular concentration. Using E. coli cells as the spike-in has the drawback that 5% extra E. coli RNA is added to all the experimental samples, where it contributes to the signal of the RNA of interest. This bias is accounted for by including a sample containing only the spike-in cells on every Northern blot, and correcting the RNA values as described in step 11.4.1. The expression of tRNAselC in wild type cells is so low compared to other tRNAs (see Figure 2) that it does not make a significant difference in quantification and thus can be neglected. However, in the reference strain MAS1074, where selC is expressed by a T7 promoter on a high copy plasmid, we estimate that at least 1,000-fold more tRNAselC is produced in the presence of 1 mM IPTG than that produced by wildtype E. coli K-12 under any condition. MAS1074 ceases to grow after two generations of full IPTG induction. At that point, culture-to-culture differences in induction of tRNAselC are small, and not a concern for this protocol as all aliquots of spike-in cells for a single experiment are taken from the same induced culture of MAS1074. As an alternative to MAS1074, cells from an organism whose RNA will not cross-react with the hybridization probe can be used as spike-in cells. Sulfolobus solfataricus cells have successfully been used as spike-in for experiments with E. coli tRNA4. However, E. coli spike-in cells are likely to more accurately reflect the degree of cell lysis of the experimental cells, as it is uncertain whether S. solfataricus lyses with the same efficiency as E. coli. Also, growing S. solfataricus is more tedious as they grow at 85 °C with a generation time of ~16 h.
Ensuring specificity of selected tRNAs
If both aminoacylated and deacylated tRNA has been successfully purified two bands should be detected on the Northern membrane. The distance between the two bands will differ depending on the specific tRNA under investigation, and is a combined consequence of the difference in size, polar properties and conformation that a particular amino acid causes when it binds a particular tRNA5. For example, the distance between the aminoacylated and the deacylated tRNA is greater for tRNAargVYZQ than it is for tRNAgltTUVW, as seen in Figure 2. As a consequence of the large size of the gel used here to separate the RNA, the resolution is high enough to distinguish charged tRNA from uncharged but also to distinguish most of the different tRNAs from each other due to their differences in length, sequence composition, and modification patterns. Even isoaccepting tRNAs can be distinguished as shown for the leucine accepting tRNAs2. However, note that in this study it was not possible to distinguish tRNAleuPQV from tRNAleuT, as the difference in sequence is only one G to T substitution.
If more than two bands appear on the Northern membrane it could be a consequence of cross-reaction of the probe with other RNAs. Increasing the stringency of the wash step (step 9.5) by increasing the temperature can typically solve this. Washing 30 min at 55 °C is usually sufficient. If increasing the wash stringency does not remove cross-hybridization, the solution can be to design a new probe that is complementary to a different (often partly overlapping) part of the tRNA sequence. Additional bands can also be carry-over from a previous probe, as a result of insufficient stripping of the membrane. To prevent this, do a strip control by exposing the membrane before re-probing. If bands appear on the control scan the membrane may need additional stripping. It is usually possible to re-probe a membrane at least 8-10 times but after several probes it can be hard to strip completely. If this is the case, the membrane can be stored for a few months before re-probing as 32P decays fast.
Further verification of probe specificity can be obtained by performing a Northern blot with cells harvested under a set of conditions where the transcript of interest is expected to be affected in a predictable manner. For example, inducible expression of the tRNA from a plasmid, or amino acid starvation for the cognate amino acid, should result in an enhanced relative expression level or a lower charging level, respectively, of the tRNA of interest.
The authors have nothing to disclose.
The authors thank Marit Warrer for excellent technical assistance. This work was supported by the Danish Council for Independent Research | Natural Sciences [1323-00343B] and the Danish National Research Foundation [DNRF120].
Urea | Merck | 57-13-6 | Purity >99% |
Polyacrylamide | Serva | 79-06-7 | |
Bis (N,N'-Methylene-bis-acrylamide) | BIO-RAD | 161-0201 | |
Trichloroacetic acid (TCA) | Sigma | 76-03-9 | |
Phenol | Merck | 108-95-2 | |
IPTG | |||
Glucose | |||
Sodium Acetate | |||
EDTA | |||
Ethanol | |||
Tris | |||
Hydrochloric acid | |||
Sodium Chloride | |||
NaH2PO4 | |||
Sodium Citrate | |||
SDS | |||
Herring Sperm DNA | Sigma | 100403-24-5 | |
BSA | |||
Polivinylpyrrolidone | |||
Ficoll | |||
P32 γATP | Perkin Elmer | ||
DNA oligos (probes) | TAG Copenhagen | ||
Hybond N+ membrane | GE Healthcare | RPN203B | |
Crosslinker | |||
Electroblotter | BIO-RAD | ||
Typhoon FLA 7000 Scanner | GE Healthcare | 28955809 | |
Spectrophotometer | |||
Hydridization oven | |||
Geiger-Müller tube | |||
Phosphor imager screen | GE Healthcare | ||
Hybridization tube | |||
Culture Flasks | |||
1.5 ml microcentrifuge tubes | |||
20 ml centrifuge tubes | |||
Name | Company | Catalog Number | Yorumlar |
Software | |||
ImageQuant | GE Healthcare | ||
Excel | Microsoft |