Translational regulation plays an important role in the control of protein abundance. Here, we describe a high-throughput method for quantitative analysis of translation in the budding yeast Saccharomyces cerevisiae.
Translation of mRNA into proteins is a complex process involving several layers of regulation. It is often assumed that changes in mRNA transcription reflect changes in protein synthesis, but many exceptions have been observed. Recently, a technique called ribosome profiling (or Ribo-Seq) has emerged as a powerful method that allows identification, with high accuracy, which regions of mRNA are translated into proteins and quantification of translation at the genome-wide level. Here, we present a generalized protocol for genome-wide quantification of translation using Ribo-Seq in budding yeast. In addition, combining Ribo-Seq data with mRNA abundance measurements allows us to simultaneously quantify translation efficiency of thousands of mRNA transcripts in the same sample and compare changes in these parameters in response to experimental manipulations or in different physiological states. We describe a detailed protocol for generation of ribosome footprints using nuclease digestion, isolation of intact ribosome-footprint complexes via sucrose gradient fractionation, and preparation of DNA libraries for deep sequencing along with appropriate quality controls necessary to ensure accurate analysis of in vivo translation.
mRNA translation is one of the fundamental processes in the cell, which plays an important role in the regulation of protein expression. Therefore, mRNA translation is tightly controlled in response to different internal and external physiological stimuli 1,2. However, the mechanisms of translational regulation remain understudied. Here, we describe the protocol for the genome-wide quantification of translation in budding yeast by ribosome profiling. The overall goal of the ribosome profiling technique is to study and quantify the translation of specific mRNAs under different cellular conditions. This technique uses next-generation sequencing to quantitatively analyze ribosome occupancy throughout the genome and allows monitoring the rate of protein synthesis in vivo at the single codon resolution 3,4. Currently, this method provides the most advanced means of measuring the levels of protein translation, and has proven to be a useful discovery tool providing information that cannot be revealed by other currently available techniques, e.g. microarrays or translation state array analysis (TSAA) 5. As ribosome profiling reports on the combined changes in transcript levels and translational output, it also provides much greater sensitivity compared to other methods.
This approach is based on deep sequencing of ribosome-protected mRNA fragments 3. During protein translation, ribosomes protect ~ 28 nt portions of the mRNA (called footprints) 6. By determining the sequence of the ribosome-protected fragments, Ribo-Seq can map the position of ribosomes on the translated mRNA and identify which regions of mRNA are likely to be actively translated into protein 3,7. In addition, we can quantitatively measure the translation of mRNA by counting the number of footprints that align to a given mRNA transcript.
In order to isolate the ribosome-protected fragments, cell lysates are initially treated with a translation inhibitor to stall the ribosomes followed by ribonuclease digestion. Whereas free mRNA and portions of translated mRNAs not protected by ribosomes are degraded by ribonuclease, the ribosome-protected mRNA fragments can be recovered by purifying intact ribosome-footprint complexes. These mRNA footprints are then converted into cDNA library and analyzed by deep sequencing (Figure 1). In parallel to ribosome profiling, intact mRNA is extracted from the same sample and sequenced. By comparing the level of translation identified by Ribo-Seq with mRNA abundance measurements, we can identify genes that are specifically up- or down-regulated at the level of translation and calculate translation efficiency of mRNA at the genome-wide level. While the protocol described in this article is specific for yeast, it should be also useful for researchers who will try to establish the Ribo-Seq protocol in other systems.
1. Extract Preparation
2. Footprint Extraction
3. Poly(A) mRNA Extraction
4. Dephosphorylation
5. 3'-Adapter Ligation
6. Reverse Transcription
7. Circularization
8. PCR Library Amplification
9. Library Quantification and High-throughput Sequencing
Detailed pipelines for bioinformatic analysis of ribosome profiling data have been described previously 8,9. In addition, several research groups have developed bioinformatics tools for differential gene expression analysis and processing of sequencing data, which are specific for ribosome profiling method 10,11,12,13,14,15,16,17,18. The first step in the analysis of Ribo-Seq data is demultiplexing and trimming the 3' adapter sequence AGATCGGAAGAGCACACGTCT using Cutadapt software 19. Then the sequencing reads are aligned against non-coding RNAs, such as rRNA and tRNA, using Bowtie 20 to remove contaminating sequences, and reads that do not align are then mapped to the yeast genome. Read count per gene can then be assessed by HTseq-count software 21, and differentially expressed genes are identified using DESeq2 22.
Figure 8 shows representative results of quantitative analysis of translation in hbs1Δ 23,24 yeast deletion mutant that were obtained using our protocol. First, we assessed the number and proportion of reads that correspond to non-coding RNA (e.g. rRNAs) obtained after sequencing footprint and mRNA libraries generated for wild-type cells and the hbs1Δ mutant. We found that, even without any rRNA depletion steps (discussed below), from 50 to 60% of all sequenced reads in our footprint libraries correspond to ribosome-protected footprint fragments (Figure 8A). In contrast, only 3% of rRNA-derived fragments were observed in mRNA libraries demonstrating that poly(A) mRNA isolation allows effective elimination of rRNA reads. Together, we were able to obtain more than 10 million footprint reads for each of the footprint samples by sequencing 2 replicates. To assess the variability of library generation and reproducibility of the data, we usually analyze at least two independent biological replicates per each experimental condition. Both footprint and mRNA sample libraries show good reproducibility with Pearson correlation coefficient R ~ 0.99 between matched samples (Figure 8B).
In addition to assessing the level of protein translation at the genome-wide level, ribosome profiling allows measuring changes in translation efficiency between experimental conditions 3. For this, an aliquot of the cell lysate (not treated with ribonuclease) is used for poly(A) mRNA isolation and preparation of an RNA-Seq library. Because both footprint library and RNA-Seq library are prepared under the same controlled conditions and can be traced to each individual replicate, Ribo-Seq and RNA-Seq datasets can be directly compared to identify genes that are regulated by the changes in mRNA transcription, translation efficiency, or by a combined effect. To identify genes that are up- or down-regulated specifically at the level of protein translation in the hbs1Δ mutant, we calculated changes in translation efficiency by dividing footprint rpkm values by mRNA rpkm for each of the genes (Figure 8C).
Figure 1: Overview of the Ribo-Seq protocol. The entire protocol can be performed in approximately 11 days. Estimated time for each step is shown. Please click here to view a larger version of this figure.
Figure 2: Preparation of sucrose gradients Please click here to view a larger version of this figure.
Figure 3: Representative sucrose gradient profiles. (A) Sucrose gradient profile obtained for control (not treated with RNase I) sample. (B) In order to extract ribosome-protected RNA fragments, cell lysates are treated with RNase I for 1 h at room temperature (RT). Fractions corresponding to the monosomal peak are then collected for footprint extraction. Please click here to view a larger version of this figure.
Figure 4: Representative images of the 15% polyacrylamide gels obtained after T4 polynucleotide kinase treatment. (A) The size of the excised gel slice around 28 and 32 nt is shown for footprint samples. (B) Cut the gel slice about 50-70 nt for mRNA samples. Please click here to view a larger version of this figure.
Figure 5: Representative images of the 10% polyacrylamide gels obtained after reverse transcription. (A) Cut the upper band ~ 128 nt for footprint samples, corresponding to the product of reverse transcription. (B) Cut the band around 150-170 nt for the mRNA samples (upper band). The lower bands correspond to the RT primer. Please click here to view a larger version of this figure.
Figure 6: Polyacrylamide gel purification of PCR-amplified libraries. PCR products obtained after 8, 10, 12, and 14 cycles of library amplification were resolved on a non-denaturing 8% TBE gel. The size of the full-length footprint libraries is ~ 150 bp, whereas the size of mRNA libraries is ~170-190 bp. Avoid the lower band that does not contain insert.
Figure 7: Bioanalyzer analysis. (A) Representative Bioanalyzer profiles of the PCR-amplified footprint library. The average size of the footprint library is expected to be from 148 to 152 nt. (B) Representative Bioanalyzer profiles of the sequencing library obtained for mRNA samples. The expected size of the mRNA library is 170-190 nt. Please click here to view a larger version of this figure.
Figure 8: Representative results. (A) Number of mRNA, footprint, and rRNA reads obtained for wild-type sample and the hbs1Δ mutant. Combined number of reads generated by sequencing two biological replicates are shown for wild-type cells and the hbs1Δ mutant. (B) Reproducibility of footprint and mRNA-abundance measurements between two replicates. Pearson correlation coefficients (R) are indicated. (C) Transcriptional and translational changes in the hbs1Δ mutant. Significantly up-regulated and down-regulated genes in hbs1Δ are grouped in accordance to whether they are affected by a change in mRNA transcription, translation efficiency, or by a combined effect. Please click here to view a larger version of this figure.
Primers | Sequence | Index | ||||
3' adapter (100 ng/µL) | /5rApp/AGATCGGAAGAGCACACGTCT/3ddC/ | |||||
RT primer | pGATCGTCGGACTGTAGAACTCTGAACGTGTAGATCTCGGTGGTCGCCGTATCATT/iSp18/GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT | |||||
Forward PCR primer | AATGATACGGCGACCACCGAGATCTACACGTTCAGAGTTCTACAGTCCGACG | |||||
Index primer 1 | CAAGCAGAAGACGGCATACGAGATCGTGATGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT | ATCACG | ||||
Index primer 2 | CAAGCAGAAGACGGCATACGAGATACATCGGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT | CGATGT | ||||
Index primer 3 | CAAGCAGAAGACGGCATACGAGATGCCTAAGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT | TTAGGC | ||||
Index primer 4 | CAAGCAGAAGACGGCATACGAGATTGGTCAGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT | TGACCA | ||||
Index primer 5 | CAAGCAGAAGACGGCATACGAGATCACTGTGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT | ACAGTG | ||||
Index primer 6 | CAAGCAGAAGACGGCATACGAGATATTGGCGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT | GCCAAT |
Table 1: 3' Adapter and primer sequences.
The Ribo-Seq approach has emerged as a powerful technology for the analysis of mRNA translation in vivo at the genome-wide level 3. Studies using this approach, which allows monitoring translation with single-codon resolution, has contributed to our understanding of translational regulation. Despite its advantages, Ribo-Seq has several limitations. Ribosomal RNA (rRNA) fragments are always co-purified during isolation of ribosome-protected footprints decreasing the yield of useful sequencing reads that can be obtained in Ribo-Seq experiments 9,25. Our data demonstrate that rRNA contamination can contribute to as many as 40-50% of all reads (Figure 8). One of the ways to overcome this limitation is to increase the sequencing depth. Additional rounds of sequencing should be performed until the required number of sequencing reads is achieved for each of the analyzed samples. Analysis of the sequencing libraries prepared using our protocol shows that more than 5 million footprint reads can be obtained for each footprint library, when 12 samples are multiplexed together in a standard 50-bp single-end run on Illumina HiSeq 2000 platform. However, if significant contamination with rRNA is observed, an optional rRNA removal step can be performed.
One of the strategies to remove rRNA contaminating fragments from footprint libraries is to use subtractive hybridization with the biotinylated oligonucleotides as described previously 8,26,27. Alternatively, rRNA contaminating reads can be removed by using commercially available rRNA depletion kits. For this, researchers can perform rRNA depletion on purified 3'-adapter-ligated footprint fragments from step 5.4. Following rRNA depletion, footprint samples can be precipitated and used directly for reverse transcription (step 6) as described in the protocol.
In addition to purification of monosomes using sucrose gradient fractionation described in our protocol, several methods have been developed that utilize a column-based purification 28 and ultracentrifugation through a sucrose cushion 8,29. While these methods can speed up the process of footprint library preparation and are less technically challenging compared to sucrose gradient fractionation, they do not allow qualitative analysis of the purified monosomes and efficiency of the nuclease digestion step. Recently, the choice of nuclease has been shown to affect the efficiency of purification of ribosome-protected RNA fragments in different species 30. While RNase I has robust activity in yeast cell lysates, its activity has been shown to affect the integrity of ribosomes in mouse tissues as well as in fruit flies. Therefore, the choice and concentration of nuclease should be optimized when adopting this protocol to other species.
Another important consideration is the use of the translation inhibitors. Most protocols for ribosome profiling typically involve treating cells with elongation inhibitors, such as cycloheximide or harringtonine, in order to prevent the run-off of ribosomes during cell harvesting 3. One of the limitations of the use of translation inhibitors is that the drugs diffuse progressively in the cell, inducing a progressive inhibition of the ribosomes 31. Moreover, the drugs do not inhibit translation initiation or termination. As a consequence, ribosomes disproportionately accumulate at the start codon and are depleted at the stop codon 8,27,31. In order to limit this artifact, we chose to flash freeze the cells in liquid nitrogen and treat with cycloheximide at the time of extraction in lysis buffer only.
Despite a relatively large number of reports that have utilized Ribo-Seq in various species, standardized protocols for performing Ribo-Seq analysis are lacking. As a consequence, Ribo-Seq data generated by different labs cannot be directly compared. For example, comparison of published ribosome profiling datasets revealed significant discrepancies in results among studies 32. This is in part due to continuous improvements that have been made as the protocol evolved over the past several years. In addition, many researchers modified the ribosome profiling protocol to adopt it to the specific needs of their study or model system 9,25. Further standardizing the ribosome profiling protocol as well as data analysis and normalization, would allow preventing some of the experimental biases and ensure accurate and reproducible quantification of in vivo translation.
The authors have nothing to disclose.
This work was supported by the National Institutes of Health grants AG040191 and AG054566 to VML. This research was conducted while VML was an AFAR Research Grant recipient from the American Federation for Aging Research.
0.45 μM membrane filters | Millipore | HVLP04700 | |
0.5 M EDTA | Invitrogen | AM9261 | |
0.5 mL centrifugal filters (100 kDa MWCO) | Millipore | UFC510024 | |
1 M Tris-HCl, pH 7.0 | Invitrogen | AM9850G | |
1 M Tris-HCl, pH 7.5 (pH 8.0 at 4°C) | Invitrogen | 15567-027 | |
10X TBE buffer | Invitrogen | AM9863 | |
10% TBE-urea gel | Invitrogen | EC6875BOX | |
15% TBE-urea gel | Invitrogen | EC6885BOX | |
2 M MgCl2 | RPI | M24500-10.0 | |
2X TBE-urea sample buffer | Invitrogen | LC6876 | |
3M NaOAc, pH 5.5 | Invitrogen | AM9740 | |
5' Deadenylase (10 U/μL) | Epicentre | DA11101K | |
5X Nucleic acid sample loading buffer | Bio-Rad | 161-0767 | |
8% TBE gel | Invitrogen | EC6215BOX | |
Acid-Phenol:Chloroform, pH 4.5 (with IAA, 125:24:1) | Invitrogen | AM9722 | |
Blue light transilluminator | Clare Chemical Research | DR-46B | |
Chrome-steel beads, 3.2 mm | BioSpec Products | 11079132c | |
Cryogrinder | Biospec product | 3110BX | |
Cycloheximide | RPI | C81040-5.0 | |
Data Acquisition System | DATAQ Instruments | DI-245 | |
Deoxynucleotide (dNTP) solution mix (10 mM) | NEB | N0447L | |
Glycogen | Invitrogen | AM9510 | |
Gradient fractionation system | Brandel | BR-184X | |
High-fidelity DNA polymerase (2,000 U/mL) | NEB | M0530S | Supplied with 5X Phusion HF Buffer |
Next-generation sequencing library quantification kit | Kapa Biosystems | KK4824 | |
Nucleic acid gel stain | Invitrogen | S11494 | |
Optima XE-90 ultracentrifuge | Beckman Coulter | A94471 | |
Poly(A) mRNA isolation kit | Invitrogen | 61011 | |
Rec J exonuclease (10 U/μL) | Epicentre | RJ411250 | |
Reverse transcriptase (200 U/μL) | Invitrogen | 18080093 | Supplied with 5X first-strand buffer and 0.1 M DTT |
RNA fragmentation buffer | NEB | E6186A | |
RNase I (100 U/μL) | Invitrogen | AM2295 | |
RNase inhibitor (20 U/μL) | Invitrogen | AM2696 | |
Silicone rubber caps | BioSpec Products | 2008 | |
ssDNA ligase (100 U/μL) | Epicentre | CL9021K | Supplied with 10X CircLigase II buffer and 50 mM MnCl2 |
Stainless steel microvials, 1.8 mL | BioSpec Products | 2007 | |
Sucrose | RPI | S24060-5000.0 | |
SW-41 Ti rotor | Beckman Coulter | 331362 | |
Syringe pump | New Era Pump Systems | NE-300 | |
T4 polynucleotide kinase (10,000 U/mL) | NEB | M0201S | Supplied with 10X T4 polynucleotide kinase buffer |
T4 RNA ligase 2 truncated KQ (200,000 U/mL) | NEB | M0373S | Supplied with 10X T4 RNA ligase buffer and 50% PEG8000 |
Thermal cycler | Bio-Rad | 1851148 | |
Thinwall polyallomer tubes, 13.2 mL | Beckman Coulter | 331372 | |
Triton X-100 | Sigma Aldrich | X100-100ML | |
UV monitor | Bio-Rad | 7318160 | |
Saccharomyces cerevisiae strain BY4741 | Open Biosystems | YSC1048 |