logo
CONTENT TYPES

Global Detection of RNA Methylation by Click Degradation

By hijacking methyltransferase activity, a novel click-based method utilizes degradation to map RNA methylation across the transcriptome.

  • Allen C. Zhu
    Allen C. Zhu
    Department of Chemistry and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States
    Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, Illinois 60637, United States
    Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois 60637, United States
    Medical Scientist Training Program/Committee on Cancer Biology, The University of Chicago, Chicago, Illinois 60637, United States
    More by Allen C. Zhu
  •  and 
  • Chuan He
    Chuan He
    Department of Chemistry and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States
    Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, Illinois 60637, United States
    Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois 60637, United States
    Email: [email protected]
    More by Chuan He
Cite this: ACS Cent. Sci. 2020, 6, 12, 2126–2129
Publication Date (Web):November 11, 2020
https://doi.org/10.1021/acscentsci.0c01449
Copyright © Published 2020 by American Chemical Society
Authors ChoiceACS AuthorChoice
Article Views
1100
Altmetric
-
Citations
-
LEARN ABOUT THESE METRICS

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.

Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.

The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated.

PDF (1 MB)

Gene expression regulation is central to sustain life. Post-transcriptional modifications of RNA have recently emerged as a major regulatory layer of gene expression and, thus, a large extent of physiological and disease processes. To understand how an RNA modification contributes to cellular function and gene expression, it is critical to be able to detect the sites of modification in cells. In this issue of ACS Central Science, Mikutis and colleagues present a new approach called methylation CLICK-degradation sequencing (meCLICK-seq), which relies on small-molecule click degraders to identify sites of methylated RNA via transcript depletion.(1) Their work provides a new way to identify RNA species that may be methylated in previously inaccessible regions of the transcriptome.

Over 170 post-transcriptional modifications of RNA have been discovered. While their existence has been known for decades, more recently some of these modifications have been found to play broad regulatory roles in gene expression. For instance, N6-methyladenosine (m6A) regulates many aspects of mRNA metabolism, including transcript stability, nuclear processing, translation, and splicing(2) (Figure 1A). While several other modifications such as pseudouridine, m7G, and m1A have also been studied, the authors focus on m6A, as it is the most abundant internal mRNA modification and the most studied. A majority of mRNA m6A’s are co-transcriptionally and site-selectively installed by a methyltransferase complex of METTL3-METTL14 that uses the S-adenosyl methionine (SAM) cofactor. METTL3 is the catalytic subunit of this main m6A mRNA writer complex.(3) Another methyltransferase, METTL16, was later discovered as an m6A writer that binds U6 snRNA or structured RNA, but its substrate scope is still unclear.(4)

Figure 1

Figure 1. (A) N6-Methyladenosine (m6A) results from the addition of a methyl group onto the nitrogen-6 position of the adenosine nucleoside. Depending on the regulatory protein that binds to m6A, various effects can be exerted on RNA metabolism. (B) Most m6A-sequencing experiments rely on an m6A antibody–bead complex that binds to m6A methylated RNA. The immunoprecipitated RNA can then be prepared as a library for high-throughput sequencing.

To study how RNA modifications contribute to cellular function and gene expression, transcriptome-wide detection of these sites is critical, and the advent of high-throughput sequencing methods now permits such deeper study of their functions. To date, most researchers have relied on antibody immunoprecipitation to enrich methylated RNAs (Figure 1B). This approach, however, has several drawbacks, such as large sample quantity requirements, nonspecific antibody binding, low resolution, and lack of quantitative information. As a result, simpler, antibody-free methods are needed. Global m6A detection has relied on antibody-based methods due to the inert reactivity of m6A. In this study, however, the authors alter this chemical property by introducing a surrogate of SAM into cells, so that a propargyl group is installed onto the RNA substrate in place of a methyl group (Figure 2A). A previous work installed an allyl group to m6A sites using a SAM homologue for m6A detection.(5) The authors here developed a more general and sensitive approach. The propargyl-modified RNA (Pr6A) undergoes a Cu(I)-catalyzed cycloaddition reaction with azide to form an artificial click-based RNA modification that catalyzes degradation of the RNA (Figure 2B). This click-degrader approach links RNA methylation to degradation and provides the basis for a unique readout of meCLICK-seq: methylated RNAs should exhibit reduced transcript abundance upon RNA-sequencing. Degradation serves as a useful readout because it is easy to identify reduced transcript levels with standard RNA-sequencing technology.

Figure 2

Figure 2. (A) After methionine starvation, the meCLICK-seq protocol begins with introduction of a SAM cofactor surrogate (SeAdoYn) that is used by RNA methyltransferases to form a propargyl (alkyne-tagged) modification on an RNA substrate. (B) After the RNA is tagged with a propargyl group, the addition of an azide click degrader leads to a Cu(I)-catalyzed cycloaddition reaction that tags the RNA molecule for general base and copper-mediated degradation, which can be easily identified with standard RNA-sequencing. Reproduced with permission from ref (1). Copyright 2020 American Chemical Society.

This click-degrader approach links RNA methylation to degradation, and provides the basis for a unique readout of meCLICK-seq: methylated RNAs should exhibit reduced transcript abundance upon RNA-sequencing.

The authors first verify in vitro that extensive degradation occurs specifically on RNA functionalized with the click-degrader in the presence of copper and then show that Pr6A can be introduced with subsequent degradation in MOLM13 leukemia and HEK293T kidney cancer cells. Thereafter, the authors apply meCLICK-seq in MOLM13 cells with induced knockdown of either m6A writer METTL3 or METTL16 to map their mRNA substrates. Since meCLICK-seq would label any methylation site that depends on SAM, knocking down a specific methyltransferase helps to identify its substrates. They not only validate that meCLICK-seq yields degradation of known m6A-containing transcripts but also consistently find that a majority of their transcripts overlap with peaks reported from previous m6A cross-linking and immunoprecipitation (miCLIP) sequencing datasets. From their meCLICK-seq method, the authors also report new findings on m6A methylation. For instance, they find a greater number of lncRNA substrates of METTL3 and METTL16 than previous miCLIP data showed. Furthermore, the addition of a bulky propargyl moiety likely hinders RNA processing and recycling pathways. As a result, the authors find m6A methylation on intronic and intergenic regions that were click-degraded with far more peaks primarily due to METTL16. From their intronic sequencing data, the authors discover that intronic polyadenylation sites are linked to methylation by METTL16.

The use of click chemistry for degradation of sites of RNA methylation is clever and simple. After methionine starvation and treatment with the click-degrader, the only steps required to detect methylated sites are RNA extraction followed by sequencing. A drawback of meCLICK-seq, however, may be limited base resolution, or lack of specificity for a particular RNA modification due to its reliance on a SAM surrogate. This issue can be circumvented by knocking down or expressing a particular RNA modification writer, as the authors did in their study. meCLICK-seq also provides a quantifiable output of methylation, since it harnesses an artificial modification for measurable degradation output. Thus, it may offer a way to study modification stoichiometry in a relatively easy and unbiased manner. Perhaps the more interesting finding is the ability to use meCLICK-seq to study different methylations in general. The authors showed that they can also map internal m7G on RNA and map m6A on introns and noncoding RNAs, which could be installed by different methyltransferases. Recent studies have shown that chromatin-associated RNAs, which contain pre-mRNA and noncoding regulatory RNAs, are m6A methylated and play important roles in chromatin regulation.(6) Studying these less abundant RNA species with m6A potentially installed by different methyltransferases may be streamlined by meCLICK-seq.

Perhaps the more interesting finding is the ability to use meCLICK-seq to study different methylations in general. The authors showed that they can also map internal m7G on RNA and map m6A on introns and noncoding RNAs, which could be installed by different methyltransferases. Recent studies have shown that chromatin-associated RNAs, which contains pre-mRNA and noncoding regulatory RNAs, are m6A methylated and play important roles in chromatin regulation. Studying these less abundant RNA species with m6A potentially installed by different methyltransferases may be streamlined by meCLICK-seq.

Within the field of m6A-sequencing, meCLICK-seq joins a series of other recently developed, antibody-free methods. For example, m6A-REF-seq and MAZTER-seq use a bacterial single-stranded endoribonuclease in which m6A methylated sites remain uncleaved.(7,8) DART-seq tethers a cytidine deaminase to a YTH m6A-binding domain to induce mutations adjacent to m6A sites.(9) Similar to meCLICK-seq, m6A-label-seq introduces a SAM analog to form N6-allyladenosine, which results in mutations in place of an m6A site upon sequencing.(5) Meanwhile, m6A-SEAL co-opts an m6A demethylase (FTO) to oxidatively modify m6A for streptavidin-based pulldown.(10) These techniques have benefits, such as lower required input, and limitations, such as required sequence motifs for mutation, complicated post-treatment procedures, or inability to detect all m6A sites. meCLICK-seq fits a unique niche in that it can identify peaks and genes containing RNA modifications installed by a particular methyltransferase or demethylase relatively easily. Overall, these methods complement one another. Together with existing approaches, meCLICK-seq will help advance our understanding and distribution of the roles of RNA modifications in the epitranscriptome.

The authors declare no competing financial interest.

Author Information

ARTICLE SECTIONS
Jump To

  • Corresponding Author
    • Chuan He - Department of Chemistry and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States; Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, Illinois 60637, United States; Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois 60637, United States; Orcidhttp://orcid.org/0000-0003-4319-7424; Email: [email protected]
  • Author
    • Allen C. Zhu - Department of Chemistry and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States; Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, Illinois 60637, United States; Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois 60637, United States; Medical Scientist Training Program/Committee on Cancer Biology, The University of Chicago, Chicago, Illinois 60637, United States; Orcidhttp://orcid.org/0000-0002-1490-7063
  • Notes

    The authors declare no competing financial interest.

References

ARTICLE SECTIONS
Jump To

This article references 10 other publications.

  1. 1
    Mikutis, S.; Gu, M.; Sendinc, E.; Hazemi, M. E.; Kiely-Collins, H.; Aspris, D.; Vassiliou, G. S.; Shi, Y.; Tzelepis, K.; Bernardes, G. J. L. meCLICK-Seq, a Substrate-Hijacking and RNA Degradation Strategy for the Study of RNA Methylation. ACS Cent. Sci. 2020,  DOI: 10.1021/acscentsci.0c01094
  2. 2
    Frye, M.; Harada, B. T.; Behm, M.; He, C. RNA modifications modulate gene expression during development. Science 2018, 361 (6409), 13461349,  DOI: 10.1126/science.aau1646
  3. 3
    Liu, J.; Yue, Y.; Han, D.; Wang, X.; Fu, Y.; Zhang, L.; Jia, G.; Yu, M.; Lu, Z.; Deng, X.; Dai, Q.; Chen, W.; He, C. A METTL3-METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation. Nat. Chem. Biol. 2014, 10 (2), 935,  DOI: 10.1038/nchembio.1432
  4. 4
    Pendleton, K. E.; Chen, B.; Liu, K.; Hunter, O. V.; Xie, Y.; Tu, B. P.; Conrad, N. K. The U6 snRNA m(6)A Methyltransferase METTL16 Regulates SAM Synthetase Intron Retention. Cell 2017, 169 (5), 824835,  DOI: 10.1016/j.cell.2017.05.003
  5. 5
    Shu, X.; Cao, J.; Cheng, M.; Xiang, S.; Gao, M.; Li, T.; Ying, X.; Wang, F.; Yue, Y.; Lu, Z.; Dai, Q.; Cui, X.; Ma, L.; Wang, Y.; He, C.; Feng, X.; Liu, J. A metabolic labeling method detects m(6)A transcriptome-wide at single base resolution. Nat. Chem. Biol. 2020, 16 (8), 887895,  DOI: 10.1038/s41589-020-0526-9
  6. 6
    Liu, J.; Dou, X.; Chen, C.; Chen, C.; Liu, C.; Xu, M. M.; Zhao, S.; Shen, B.; Gao, Y.; Han, D.; He, C. N (6)-methyladenosine of chromosome-associated regulatory RNA regulates chromatin state and transcription. Science 2020, 367 (6477), 580586,  DOI: 10.1126/science.aay6018
  7. 7
    Garcia-Campos, M. A.; Edelheit, S.; Toth, U.; Safra, M.; Shachar, R.; Viukov, S.; Winkler, R.; Nir, R.; Lasman, L.; Brandis, A.; Hanna, J. H.; Rossmanith, W.; Schwartz, S. Deciphering the ″m(6)A Code″ via Antibody-Independent Quantitative Profiling. Cell 2019, 178 (3), 731747,  DOI: 10.1016/j.cell.2019.06.013
  8. 8
    Zhang, Z.; Chen, L. Q.; Zhao, Y. L.; Yang, C. G.; Roundtree, I. A.; Zhang, Z.; Ren, J.; Xie, W.; He, C.; Luo, G. Z. Single-base mapping of m(6)A by an antibody-independent method. Sci. Adv. 2019, 5 (7), eaax0250  DOI: 10.1126/sciadv.aax0250
  9. 9
    Meyer, K. D. DART-seq: an antibody-free method for global m(6)A detection. Nat. Methods 2019, 16 (12), 12751280,  DOI: 10.1038/s41592-019-0570-0
  10. 10
    Wang, Y.; Xiao, Y.; Dong, S.; Yu, Q.; Jia, G. Antibody-free enzyme-assisted chemical approach for detection of N(6)-methyladenosine. Nat. Chem. Biol. 2020, 16 (8), 896903,  DOI: 10.1038/s41589-020-0525-x

Cited By


This article has not yet been cited by other publications.

    • Abstract

      Figure 1

      Figure 1. (A) N6-Methyladenosine (m6A) results from the addition of a methyl group onto the nitrogen-6 position of the adenosine nucleoside. Depending on the regulatory protein that binds to m6A, various effects can be exerted on RNA metabolism. (B) Most m6A-sequencing experiments rely on an m6A antibody–bead complex that binds to m6A methylated RNA. The immunoprecipitated RNA can then be prepared as a library for high-throughput sequencing.

      Figure 2

      Figure 2. (A) After methionine starvation, the meCLICK-seq protocol begins with introduction of a SAM cofactor surrogate (SeAdoYn) that is used by RNA methyltransferases to form a propargyl (alkyne-tagged) modification on an RNA substrate. (B) After the RNA is tagged with a propargyl group, the addition of an azide click degrader leads to a Cu(I)-catalyzed cycloaddition reaction that tags the RNA molecule for general base and copper-mediated degradation, which can be easily identified with standard RNA-sequencing. Reproduced with permission from ref (1). Copyright 2020 American Chemical Society.

    • References

      ARTICLE SECTIONS
      Jump To

      This article references 10 other publications.

      1. 1
        Mikutis, S.; Gu, M.; Sendinc, E.; Hazemi, M. E.; Kiely-Collins, H.; Aspris, D.; Vassiliou, G. S.; Shi, Y.; Tzelepis, K.; Bernardes, G. J. L. meCLICK-Seq, a Substrate-Hijacking and RNA Degradation Strategy for the Study of RNA Methylation. ACS Cent. Sci. 2020,  DOI: 10.1021/acscentsci.0c01094
      2. 2
        Frye, M.; Harada, B. T.; Behm, M.; He, C. RNA modifications modulate gene expression during development. Science 2018, 361 (6409), 13461349,  DOI: 10.1126/science.aau1646
      3. 3
        Liu, J.; Yue, Y.; Han, D.; Wang, X.; Fu, Y.; Zhang, L.; Jia, G.; Yu, M.; Lu, Z.; Deng, X.; Dai, Q.; Chen, W.; He, C. A METTL3-METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation. Nat. Chem. Biol. 2014, 10 (2), 935,  DOI: 10.1038/nchembio.1432
      4. 4
        Pendleton, K. E.; Chen, B.; Liu, K.; Hunter, O. V.; Xie, Y.; Tu, B. P.; Conrad, N. K. The U6 snRNA m(6)A Methyltransferase METTL16 Regulates SAM Synthetase Intron Retention. Cell 2017, 169 (5), 824835,  DOI: 10.1016/j.cell.2017.05.003
      5. 5
        Shu, X.; Cao, J.; Cheng, M.; Xiang, S.; Gao, M.; Li, T.; Ying, X.; Wang, F.; Yue, Y.; Lu, Z.; Dai, Q.; Cui, X.; Ma, L.; Wang, Y.; He, C.; Feng, X.; Liu, J. A metabolic labeling method detects m(6)A transcriptome-wide at single base resolution. Nat. Chem. Biol. 2020, 16 (8), 887895,  DOI: 10.1038/s41589-020-0526-9
      6. 6
        Liu, J.; Dou, X.; Chen, C.; Chen, C.; Liu, C.; Xu, M. M.; Zhao, S.; Shen, B.; Gao, Y.; Han, D.; He, C. N (6)-methyladenosine of chromosome-associated regulatory RNA regulates chromatin state and transcription. Science 2020, 367 (6477), 580586,  DOI: 10.1126/science.aay6018
      7. 7
        Garcia-Campos, M. A.; Edelheit, S.; Toth, U.; Safra, M.; Shachar, R.; Viukov, S.; Winkler, R.; Nir, R.; Lasman, L.; Brandis, A.; Hanna, J. H.; Rossmanith, W.; Schwartz, S. Deciphering the ″m(6)A Code″ via Antibody-Independent Quantitative Profiling. Cell 2019, 178 (3), 731747,  DOI: 10.1016/j.cell.2019.06.013
      8. 8
        Zhang, Z.; Chen, L. Q.; Zhao, Y. L.; Yang, C. G.; Roundtree, I. A.; Zhang, Z.; Ren, J.; Xie, W.; He, C.; Luo, G. Z. Single-base mapping of m(6)A by an antibody-independent method. Sci. Adv. 2019, 5 (7), eaax0250  DOI: 10.1126/sciadv.aax0250
      9. 9
        Meyer, K. D. DART-seq: an antibody-free method for global m(6)A detection. Nat. Methods 2019, 16 (12), 12751280,  DOI: 10.1038/s41592-019-0570-0
      10. 10
        Wang, Y.; Xiao, Y.; Dong, S.; Yu, Q.; Jia, G. Antibody-free enzyme-assisted chemical approach for detection of N(6)-methyladenosine. Nat. Chem. Biol. 2020, 16 (8), 896903,  DOI: 10.1038/s41589-020-0525-x

    Pair your accounts.

    Export articles to Mendeley

    Get article recommendations from ACS based on references in your Mendeley library.

    Pair your accounts.

    Export articles to Mendeley

    Get article recommendations from ACS based on references in your Mendeley library.

    You’ve supercharged your research process with ACS and Mendeley!

    STEP 1:
    Click to create an ACS ID

    Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

    Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

    Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

    OOPS

    You have to login with your ACS ID befor you can login with your Mendeley account.

    MENDELEY PAIRING EXPIRED
    Your Mendeley pairing has expired. Please reconnect

    This website uses cookies to improve your user experience. By continuing to use the site, you are accepting our use of cookies. Read the ACS privacy policy.

    CONTINUE