| Literature DB >> 32171170 |
Gehui Jin1, Mingqing Xu2, Mengsha Zou1, Shiwei Duan3.
Abstract
N4-acetylcytidine (ac4C) is often considered to be a conservative, chemically modified nucleoside present on tRNA and rRNA. Recent studies have shown extensive ac4C modifications in human and yeast mRNAs. ac4C helps to correctly read codons during translation and improves translation efficiency and the stability of mRNA. At present, the research of ac4C involves a variety of detection methods. The formation of ac4C is closely related to N-acetyltransferase 10 (NAT10) and its helpers, such as putative tRNA acetyltransferase (TAN1) for tRNA ac4C and small nucleolar RNA (snoRNA) for rRNA ac4C. Also, ac4C is associated with the development, progression, and prognosis of a variety of human diseases. Here, we summarize the history of ac4C research and the detection technologies of ac4C. We then summarized the role and mechanism of ac4C in gene-expression regulation and demonstrated the relevance of ac4C to a variety of human diseases, especially cancer. Finally, we list the future challenges of the ac4C research and demonstrate a research strategy for the interactions among several abundant modified nucleosides on mRNA.Entities:
Keywords: N4-acetylcytidine; NAT10; RNA; acetyltransferase; cancer; human diseases; mRNA modifications
Year: 2020 PMID: 32171170 PMCID: PMC7068197 DOI: 10.1016/j.omtn.2020.01.037
Source DB: PubMed Journal: Mol Ther Nucleic Acids ISSN: 2162-2531 Impact factor: 8.886
Figure 1History of ac4C-Related Research on Various RNAs
In 1966, ac4C was found in the yeast tRNA. In 1971, ac4C was found on the yeast tRNALeu. In 1972, ac4C was found at the wobble position of E. coli tRNAMet, and ac4C of S. cerevisiae was found to be located at the position 12 on tRNASer and tRNASer., In 1977, researchers in E. coli found that ac4C at the wobble position of tRNAMet could help tRNA correctly read codons. In the same year, the researchers detected ac4C at rat hepatocyte 18S rRNA. In 1989, researchers found that ac4C at the wobble position of tRNAMet aided in the correct reading of codons by stabilizing the ribose C3′ endo conformation in E. coli. In 1993, researchers discovered ac4C on the 5S rRNA of H. thermophila. In 2004, researchers found that the yeast Tan1 gene was involved in the formation of ac4C on tRNA and found that ac4C maintained the stability of tRNASer. In 2008, S. cerevisiae TmcA (tRNAMet cytidine acetyltransferase) was involved in ac4C formation on tRNAMet, and the MTH909 gene (TAN1 homolog) of thermoautotrophic M. thermophila was involved in tRNA ac4C formation. In 2014, researchers found that NAT10 catalyzed the formation of ac4C at position 1842 of 18S rRNA in human HEK293 cells; in the same year, researchers found that the yeast Kre33 gene (NAT10 homolog) helped the S. cerevisiae formation of ac4C at position 1773 of 18S rRNA. In 2015, in human HCT116 cells, the formation of ac4C on tRNA and 18S rRNA by NAT10 required the help of THUMPD1 and snoRNA, which could bind to tRNA and 18S rRNA, respectively. In 2018, the researchers found a large number of mRNA ac4C in human HeLa cells. In addition, the researchers also found that the NAT10 gene was involved in the formation of mRNA ac4C, which could promote the translation efficiency and stability of mRNA. In 2019, most of ac4C was found on yeast mRNA, and Rra1 (NAT10 homolog) was also found to help the formation of mRNA ac4C.
Figure 2Schematic Diagram of ac4C Formation on Various RNAs
ac4C is present in the helix 34 and helix 45 regions of 18S rRNA. C/D snoRNA U13 helps N-acetyltransferase (NAT10) bind to 18S rRNA, and the complex of snoRNA and NAT10 catalyzes the formation of ac4C on 18S rRNA., With the help of THUMPD1, NAT10 catalyzes the formation of ac4C modifications in the D-arm structure of tRNASer and tRNALeu. NAT10 catalyzes the formation of mRNA ac4C, which is mainly enriched in the coding sequence (CDS) region. The ac4C content gradually decreases along the 5′ end to the 3′ end of the CDS. However, the cofactor of NAT10 has not been found in the formation of mRNA ac4C.
Summary of ac4C-Related Technologies
| Classification | Name | The Minimum Amount of RNA Sample | Advantages | Disadvantages |
|---|---|---|---|---|
| HPLC-based method | RP-HPLC | 60 pmol rRNA | (1) it can easily isolate typical nucleosides of A, U, G, and C and other modified nucleosides | (1) it requires a flow carrier and therefore consumes a large amount of solvent |
| (2) it does not rely on expensive mass spectrometer detectors or radioactive substrates | (2) it does not qualitatively or quantitatively analyze modified nucleosides with similar or noncharacteristic retention times | |||
| (3) it needs only a small amount of sample | ||||
| UV-HPLC | not mentioned | it can accurately locate the position of the ac4C | (1) it cannot amplify the signal and has a poor sensitivity | |
| (2) it requires tiling of oligonucleotides, so its efficiency is low | ||||
| (3) for test samples, it requires additional steps, such as extraction and hydrolysis, etc. | ||||
| (4) it cannot qualitatively or quantitatively analyze modified nucleosides with a similar or uncharacterized retention time | ||||
| HPLC conjugated with CE | 32 μM ac4C | (1) it uses an uncoated capillary column and is less expensive than RP-HPLC | (1) for test samples, it requires additional steps, such as extraction and hydrolysis, etc. | |
| (2) the capillary electrophoresis column is easy to maintain and has a long service life (more than 500 times can be used) | (2) it is only used in conjunction with RP-HPLC | |||
| (3) it uses an electric field for separation without consuming solvent | ||||
| (4) it is more miniaturized and can reduce consumption | ||||
| HPLC conjugated with MISPE | 10 μg total RNA | it can extract pyrimidine nucleoside directly from urine at a low cost in a short time | it may cause hydrolysis of ac4C in urine | |
| HPLC conjugated with MS | LC-MS/HPLC-MS | 12.5 μg total RNA | (1) its detection sensitivity is relatively high | (1) for test samples, it requires additional steps, such as extraction and hydrolysis, etc. |
| (2) it can analyze trace-modified nucleosides from different sources of RNA | (2) it can only detect the approximate position and content of ac4C and cannot accurately locate ac4C | |||
| (3) it can detect trace-modified nucleosides on tRNA in a short time (15 min) | (3) it is unable to study the kinetics of ac4C, and its detection of ac4C is affected by molecules surrounding RNA | |||
| (4) it can qualitatively or quantitatively analyze modified nucleosides with similar or noncharacteristic retention times | ||||
| Borohydride-based sequencing | borohydride-based reduction | not mentioned | (1) this assay is highly sensitive and helps to assess the response of ac4C to stimuli, such as cellular metabolic status | it is unable to analyze ac4C in the densely modified RNAs, such as tRNAs using Sanger sequencing |
| (2) it can be used to identify the location of ac4C in mRNA | ||||
| borohydride-based Sanger sequencing | 10 pg ∼3 μg total RNA | it can sensitively detect a single ac4C site using PCR amplification | it is unable to analyze ac4C in RNAs with dense-modified nucleotides | |
| Anti-ac4C antibody-based method | acRIP-seq | 1 μg total RNA | it can generate thousands of ac4C-enriched transcribed regions | (1) the reads may be biased by the affinity of mRNA and the antibody |
| (2) it cannot provide a base-resolution ac4C map at the transcriptome level | ||||
| affinity reagents IVT | 1–10 μg total RNA | it can artificially synthesize ac4C-containing RNA for screening antibodies against ac4C binding protein | it may cause mutations in extracellular RNA | |
| ac4C prediction method | PACES | not applicable | it can predict the site of ac4C on the RNA sequence | (1) due to the limitations of available data, it cannot predict species other than humans |
| (2) the exact mechanism of ac4C is still unclear, so the predicted site may not be comprehensive enough |
RP-HPLC, reverse-phase high-performance liquid chromatography; CE, capillary electrophoresis; MISPE, molecularly imprinted solid-phase extraction; LC-MS/HPLC-MS, liquid chromatography-tandem mass spectrometry/high-performance liquid chromatography-tandem mass spectrometry; UV-HPLC, ultraviolet high-performance liquid chromatography; IVT, in vitro transcription.
Figure 3ac4C and Human Diseases
Detection technologies include MS, mass spectrometry; UPLC-MS, ultra-phase high-performance liquid chromatography-mass spectrometry; HPLC, high-performance liquid chromatography; LC-MS, liquid chromatography-tandem mass spectrometry; RP-HPLC, reverse-phase high-performance liquid chromatography; GC-MS, gas chromatography-mass spectrometer; CE, capillary electrophoresis; UPLC-QTOF/MS, ultra-phase high-performance liquid chromatography-four-stage rod tandem time-of-flight-mass spectrometry. Human diseases include GDM, gestational diabetes mellitus; IC, interstitial cystitis; PRMS, progressive relapsing-remitting multiple sclerosis; AIDS, acquired immune deficiency syndrome; CRC, colorectal cancer; UC, urogenital cancer; EOC, epithelial ovarian cancer; BC, breast cancer; CRF, chronic renal failure; PF, pulmonary fibrosis. ↑, increase; ↓, decrease; ns, not significant.
Figure 4ac4C Reduction Reaction Diagram Based on Sodium Borohydride
In sodium borohydride-based reduction of ac4C, Thomas et al. first extracted total RNA from tissues or cultured cells. The RNA is treated with NaBH4in vitro to introduce mismatched base pairs during reverse transcription (RT) later. Such a method can cause structural changes in ac4C, thus reducing ac4C.
Figure 5A Possible Strategy for Studying the Interaction of Various Modified Nucleosides on mRNA
A variety of RT-sensitive next-generation (NG) sequencing methods have been applied to map several modified nucleosides on mRNA, including Ψ 68, m6A, 2′-O-Me, m5C, m1A, m3C, m1G, and m22G, etc. RNA-modified nucleoside assays rely on the ability of RNA modifications to resist RT. At present, borohydride Sanger-Seq can be used to measure ac4C in a certain region of mRNA. This borohydride-sensitive RT method can be theoretically coupled with second-generation sequencing to detect ac4C at the transcriptome level. We can integrate these multiple sequencing methods to obtain information on the location and content of different modified nucleosides in the same mRNA region. We can also further detect differences in modified nucleosides on mRNA under different conditions or in different groups and perform correlation tests between different modified nucleosides. In addition, the Mendelian randomization approach has been widely used to explore the causal association between complex factors and diseases (or conditions). We use the method of Mendelian randomization to establish the interactions among different modified nucleosides on the mRNA. These interactions may include mutual activation, mutual inhibition, or one-way promotion, etc.. This proposed strategy can theoretically reveal the interactions between different modified nucleosides in different transcribed regions. This is likely to help researchers further decipher tons of regulatory combinations of different modified nucleosides at the transcriptome level.