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Enzyme-mediated alkynylation enables transcriptome-wide identification of pseudouridine modifications
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  • Published: 23 March 2026

Enzyme-mediated alkynylation enables transcriptome-wide identification of pseudouridine modifications

  • Yuru Wang  ORCID: orcid.org/0000-0001-5204-36171,2,3,4,
  • Kinga Pajdzik3,4,5,
  • Yutao Zhao  ORCID: orcid.org/0000-0002-4496-13943,4,5,
  • Chang Ye  ORCID: orcid.org/0000-0003-0236-56713,4,5 nAff8,
  • Talbot Stone  ORCID: orcid.org/0009-0000-7843-56781,
  • Li-Sheng Zhang  ORCID: orcid.org/0000-0003-1872-99783,4,5 nAff9,
  • Wen Zhang  ORCID: orcid.org/0000-0001-8577-26132,
  • Mahdi Assari  ORCID: orcid.org/0009-0002-9247-42212,
  • Wenxin Zhao  ORCID: orcid.org/0000-0001-5261-59101,
  • Caraline Sepich-Poore  ORCID: orcid.org/0000-0002-1853-46473,4,5,
  • Qing Dai  ORCID: orcid.org/0000-0002-8578-15683,4,5,
  • Ke Wang6,
  • Minkui Luo  ORCID: orcid.org/0000-0001-7409-70346,7,
  • Tao Pan  ORCID: orcid.org/0000-0003-1096-84052 &
  • …
  • Chuan He  ORCID: orcid.org/0000-0003-4319-74242,3,4,5 

Nature Communications , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Genetic mapping
  • RNA
  • RNA modification
  • Sequencing
  • Transferases

Abstract

Pseudouridine (Ψ) is one of the most abundant chemical modifications and plays important roles in RNA function. Advances in our understanding of Ψ have been hindered by a limit of robust methods to precisely and sensitively map their distributions in cellular RNAs. Here, we present ELAP-seq (Enzymatic Labeling and Pull-down for Sequencing) for Ψ detection, which leverages a naturally occurring N1-methyl pseudouridine methyltransferase from Methanocaldococcus jannaschii (Mj1640). This enzyme promiscuously converts Ψ to N1-methyl-Ψ (m1Ψ) or installs a propargyl group at the same location in vitro under a mild condition, exhibiting high sensitivity and specificity, and is also functional inside cells. ELAP-seq enriches Ψ-containing RNA fragments and enables single-nucleotide-resolution Ψ detection with markedly enhanced signal-to-noise ratio and reduced sequencing and computational demands. Using ELAP-seq, we identify thousands of candidate Ψ sites in human HeLa and HEK 293 T transcriptomes, validating many previously identified sites as well as reporting additional ones. This versatile enzymatic platform expands the toolkit for sensitive labeling and detection of Ψ, advancing the study of RNA modification biology.

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Data availability

The NGS data generated in this paper has been deposited in the GEO database under accession code GSE236530. Source data are provided with this paper.

Code availability

The code for data analysis can be found on GitHub: https://github.com/yuruwang26/ELAP-seq-v441.

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Acknowledgements

This research was supported by NIH RM1 HG008935 (C.H.), R35GM131858 (M.L.), P30-CA008748 (M.L.) and startup funding from the University of Utah to Y.W. C.H. is an investigator of the Howard Hughes Medical Institute.

Author information

Author notes
  1. Chang Ye

    Present address: Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China

  2. Li-Sheng Zhang

    Present address: Department of Chemistry, The Hong Kong University of Science and Technology, Hong Kong, China

Authors and Affiliations

  1. Department of Medicinal Chemistry, University of Utah, Salt Lake City, UT, USA

    Yuru Wang, Talbot Stone & Wenxin Zhao

  2. Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, USA

    Yuru Wang, Wen Zhang, Mahdi Assari, Tao Pan & Chuan He

  3. Department of Chemistry, The University of Chicago, Chicago, IL, USA

    Yuru Wang, Kinga Pajdzik, Yutao Zhao, Chang Ye, Li-Sheng Zhang, Caraline Sepich-Poore, Qing Dai & Chuan He

  4. Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA

    Yuru Wang, Kinga Pajdzik, Yutao Zhao, Chang Ye, Li-Sheng Zhang, Caraline Sepich-Poore, Qing Dai & Chuan He

  5. Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA

    Kinga Pajdzik, Yutao Zhao, Chang Ye, Li-Sheng Zhang, Caraline Sepich-Poore, Qing Dai & Chuan He

  6. Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA

    Ke Wang & Minkui Luo

  7. Department of Pharmacology, Weill Cornell Medical College, Cornell University, New York, NY, USA

    Minkui Luo

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Contributions

Y.W. and C.H. conceived the idea. Y.W. designed and performed most experiments and data analysis. K.P. helped build libraries for most samples. Y.Z. performed western blots, RT-qPCR, and cell culture. T.S. performed the dot blot assays with assistance from W.Z. (Wenxin Zhao) L.Z. assisted with building LC-MS/MS channels. C.Y. helped with the establishment of the data analysis pipeline and performed part of the sequencing experiments. W.Z. (Wen Zhang) and M.A. performed CLAP and CMC treatment experiments. Q.D. synthesized the standard RNA oligonucleotides. C.S. edited the manuscript. K.W. and M.L. synthesized the propargyl-SeAm molecule. Y.W. wrote the initial manuscript. C.H. and Y.W. edited the manuscript with input from all authors.

Corresponding authors

Correspondence to Yuru Wang or Chuan He.

Ethics declarations

Competing interests

C.H. is a scientific founder and a member of the scientific advisory board of Accent Therapeutics, Inc. C.H. is also a shareholder of Epican Genetech. The remaining authors declare no competing interests.

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Peer review information

Nature Communications thanks Gene Yeo, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.

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Wang, Y., Pajdzik, K., Zhao, Y. et al. Enzyme-mediated alkynylation enables transcriptome-wide identification of pseudouridine modifications. Nat Commun (2026). https://doi.org/10.1038/s41467-026-70597-8

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  • Received: 14 July 2023

  • Accepted: 26 February 2026

  • Published: 23 March 2026

  • DOI: https://doi.org/10.1038/s41467-026-70597-8

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