This protocol provides researchers with a new tool to monitor the fidelity of transcription in multiple model organisms.
Method Article
This protocol provides researchers with a new tool to monitor the fidelity of transcription in multiple model organisms.
Accurate transcription is required for the faithful expression of genetic information. Surprisingly though, little is known about the mechanisms that control the fidelity of transcription. To fill this gap in scientific knowledge, we recently optimized the circle-sequencing assay to detect transcription errors throughout the transcriptome of Saccharomyces cerevisiae, Drosophila melanogaster, and Caenorhabditis elegans. This protocol will provide researchers with a powerful new tool to map the landscape of transcription errors in eukaryotic cells so that the mechanisms that control the fidelity of transcription can be elucidated in unprecedented detail.
The genome provides a precise biological blueprint of life. To implement this blueprint correctly, it is important for the genome to be transcribed with great precision. However, transcription is unlikely to be error free. For example, RNA polymerases have long been known to be error-prone in vitro1,2, and recently it was shown that they commit errors in vivo as well3,5,6, particularly when confronted with DNA damage7,8,9,10. Taken together, these observations indicate that transcription errors occur continuously in all living cells, suggesting that they could be a potent source of mutated proteins.
This process, termed transcriptional mutagenesis, differs from classical mutagenesis in two ways. First, in contrast to genetic mutations, transcription errors affect both mitotic and post-mitotic cells, as they do not depend on DNA replication. Studying the mechanisms that impact the fidelity of transcription will, therefore, provide valuable insight into the mutation load of both mitotic and post-mitotic cells. Interestingly, transcription errors have recently been implicated in the promotion of protein aggregation11,12,13 and have been hypothesized to contribute to both carcinogenesis10 and the development of antibiotic resistance in bacteria14.
Second, in contrast to genetic mutations, transcription errors are transient in nature. Their temporary existence is particularly challenging because it makes transcription errors exceedingly difficult to detect. For example, while several labs have devised valuable reporter assays for the study of transcriptional mutagenesis, these assays are only able to measure transcription errors in a limited number of contexts and model organisms4,15. To overcome these limitations, many researchers have turned to RNA sequencing technology (RNA-seq), which theoretically allows transcription errors to be recorded throughout the transcriptome of any species. However, these studies are easily confounded by library construction artifacts, such as reverse transcription errors, PCR amplification errors, and the error-prone nature of sequencing itself. For example, reverse transcriptases commit approximately one error every ~20,000 bases, while RNA polymerases (RNAPs) are expected to make only one error every 300,000 bases5,6. Because the error rate of reverse transcription alone dwarfs the error rate of RNA polymerases inside cells, it is virtually impossible to distinguish true transcription errors from artifacts caused by the library preparation in traditional RNA-Seq data (Figure 1a).
To solve this problem, we developed an optimized version of the Circle-Sequencing (Cirseq, or C-seq henceforth) assay5,16. This assay allows the user to detect transcription errors and other rare variants in RNA throughout the transcriptome5. The circular-sequencing assay carries this name because a key step in this assay revolves around RNA circularization. Once the RNA targets are circularized, they are reverse transcribed in a rolling circle fashion, to produce linear cDNA molecules that contain numerous copies of the same RNA template. If an error was present in one of these templates, this error would also be present in every single repeat contained within the cDNA molecule. In contrast, errors introduced by reverse transcription, PCR amplification, or sequencing tend to arise randomly, and will thus be present in only one or two repeats. Thus, by generating a consensus sequence for each cDNA molecule, and distinguishing random errors from errors that occur in all repeats, library construction artifacts can effectively be separated from true transcription errors (Figure 1b).
If used properly, the C-seq assay can be used to accurately detect the rate of base substitutions, insertions, and deletions in RNA throughout the transcriptome of any species (for example, see Traverse and Ochman17). For example, we have used the C-seq assay to provide genome-wide measurements of the error rate of transcription in Saccharomyces cerevisiae, Drosophila melanogaster, and Caenorhabditis elegans with a single base resolution5 (unpublished observations). Originally used to accurately sequence RNA virus populations, this optimized version of the C-seq assay has been streamlined to minimize harsh conditions during the library preparation that contribute to library construction artifacts. In addition, by using a number of commercially available kits, the throughput of the assay is greatly improved, as well as its user-friendliness. If used properly, this assay can accurately detect thousands of transcription errors per replicate, thereby greatly improving on previous studies6. Overall, this method provides a powerful tool to study transcriptional mutagenesis and will allow the user to gain novel insights into the mechanisms that control the fidelity of transcription in a wide range of organisms.
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1. Preparation
2. Cell and Animal Culture and Collection
3. Total RNA Purification
NOTE: At this point, all three protocols converge, and a single, unified approach can be used to generate C-seq libraries.
4. mRNA Enrichment
5. RNase III Fragmentation and RNA Clean Up
NOTE: (Important) To prepare circular RNA molecules appropriate for generating C-seq libraries, the RNA must be fragmented to roughly 60–80 bases in length. While previous methods have used a chemical fragmentation to fragment RNA, chemical fragmentation with heavy metals introduces damages to the RNA samples that can be misinterpreted as transcription errors during the final analysis. To circumvent this problem, rely instead on a fragmentation using RNase III to generate small fragments. An additional advantage of this enzymatic approach is that it creates compatible ends required for ligation, obviating the need for an end-repair after the chemical fragmentation.
6. RNA Circularization and Rolling Circle Reverse Transcription
7. Second Strand cDNA Synthesis and End Repair
8. Adapter Ligation and Size Selection of Prepared Libraries
9. PCR Amplification and Final Bead Purification
10. Bio-informatic Analysis of Circle Sequencing Data
NOTE: Analyzing and interpreting raw data from the C-seq assay requires a dedicated bio-informatic pipeline. A schematic of the pipeline that was used for our analyses is depicted in Figure 3. Download this pipeline at https://github.com/LynchLab/MAPGD.
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Like all massively parallel sequencing approaches, each C-seq experiment produces an unwieldy, large dataset. For first-time users, it can be difficult to handle these datasets; thus, it is recommended that all users contact an experienced bio-informatician prior to the experimentation. On average, the expectation is that users will generate approximately 55–70 Giga bases (Gbases) per run on most massively parallel sequencing platforms. For this protocol, typically, 12–30 samples were mul...
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Here, we describe an optimized protocol for the preparation of C-seq libraries for the detection of transcription errors in Saccharomyces cerevisiae, Drosophila melanogaster, and Caenorhabditis elegans. This protocol has numerous advantages over existing protocols, as well as alternative techniques.
Over the past 15 years, numerous reporter systems have been developed that rely on luciferase7,8 or Cre-Lox rec...
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The authors have nothing to disclose.
This publication was made possible by funding from grant T32ES019851 (to C. Fritsch), R01AG054641, and an AFAR young investigator grant (to M. Vermulst).
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| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| RiboPure RNA purification kit | ThermoFisher | AM1926 | Total RNA purification |
| Genelute mRNA purification kit | Sigma-Aldrich | MRN70-1KT | mRNA purification |
| Nuclease-free Water | Ambion | AM9937 | Elution and dilution |
| Ambion RNase III | ThermoFisher | AM2290 | RNA fragmentation |
| T4 RNA Ligase 1 (ssRNA Ligase) | New England Biolabs | M0204S | RNA circularization |
| Ribolock | ThermoFisher | EO0381 | RNase inhibitor |
| SuperScript III Reverse Transcriptase | ThermoFisher | 18080044 | Rolling circle reverse transcription |
| 10 mM dNTP mix | ThermoFisher | 18427013 | Rolling circle reverse transcription |
| Random hexamers (50 ng/µL) | ThermoFisher | N8080127 | Rolling circle reverse transcription |
| NEB Second Strand Synthesis Module | New England Biolabs | E6111S | Second Strand Synthesis |
| NEBNext Ultra DNA Library Prep Kit for Illumina | New England Biolabs | E7370S | cDNA library preparation |
| NEB Next index primers | NEB | E7335S | Multiplex PCR primers |
| Oligo Clean & Concentrator | Zymo Research | D4061 | Clean up of RNA and DNA samples |
| DynaMag-2 Magnet | ThermoFisher | 12321D | Magnetic bead purification |
| AMPure XP beads | Beckman Coulter | A63881 | Magnetic bead purification |
| Eppendorf 5424 Microcentrifuge | FisherScientific | 05-403-93 | centrifugation |
| INCU-Shaker 10 L | Benchmark Scientific | H1010 | Cell culture |
| T100 Thermal Cycler | BIO RAD | 1861096 | Medium to High temperature cycling conditions |
| PTC-200 Thermal Cycler | GMI | 8252-30-0001 | Low temperature cycling conditions |
| RNase Away | Molecular Bioproducts | 700S-11 | Sterilization |
| 50 mL Centrifuge Tube | Corning | 430290 | Nuclease-free |
| 15 mL Centrifuge Tube | Corning | 430052 | Nuclease-free |
| Eppendorf tubes | USA Scientific | 1615-5500 | Nuclease-free |
| 4200 Tapestation System | Agilent | G2991AA | Nucleotide analysis instrument for quality control of RNA and single stranded DNA samples |
| High Sensitivity RNA Screen Tape | Agilent | 5067-5579 | Quality control of RNA and single stranded DNA samples |
| RNA ScreenTape Sample Buffer | Agilent | 5067-5577 | Quality control of RNA and single stranded DNA samples |
| RNA ScreenTape Ladder | Agilent | 5067-5578 | Quality control of RNA and single stranded DNA samples |
| 2100 Bioanalyzer Instrument | Agilent | G2939BA | Double stranded DNA quality control |
| High Sensitivity DNA Kit | Agilent | 5067-4626 | Quality control for double stranded cDNA samples |
| Water Bath | VWR | 462-0244 | Incubation |
| NanoDrop 2000/2000C Spectrophotometer | ThermoFisher | ND-2000C | Determination of RNA concentration |
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