Evidence map›Paper›PMID 41872172›Full record

ArticleNature communications2026

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

Yuru Wang, Kinga Pajdzik, Yutao Zhao, Chang Ye, Talbot Stone, Li-Sheng Zhang, Wen Zhang, Mahdi Assari, Wenxin Zhao, Caraline Sepich-Poore and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Yuru WangDepartment of Medicinal Chemistry, University of Utah, Salt Lake City, UT, USA. yuru.wang@pharm.utah.edu.ORCID http://orcid.org/0000-0001-5204-3617
Kinga PajdzikDepartment of Chemistry, The University of Chicago, Chicago, IL, USA.
Yutao ZhaoDepartment of Chemistry, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-4496-1394
Chang YeDepartment of Chemistry, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0003-0236-5671
Talbot StoneDepartment of Medicinal Chemistry, University of Utah, Salt Lake City, UT, USA.ORCID http://orcid.org/0009-0000-7843-5678
Li-Sheng ZhangDepartment of Chemistry, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0003-1872-9978
Wen ZhangDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-8577-2613
Mahdi AssariDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0009-0002-9247-4221
Wenxin ZhaoDepartment of Medicinal Chemistry, University of Utah, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0001-5261-5910
Caraline Sepich-PooreDepartment of Chemistry, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-1853-4647
Qing DaiDepartment of Chemistry, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-8578-1568
Ke WangChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Minkui LuoChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-7409-7034
Tao PanDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0003-1096-8405
Chuan HeDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, USA. chuanhe@uchicago.edu.ORCID http://orcid.org/0000-0003-4319-7424

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Interrogating Protein Methyltransferases with Integrated ApproachesR35GM131858 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI Minkui Luo · 2019 to 2026
$6.3M
NCI NIH HHS P30 CA008748NIGMS NIH HHS R35 GM131858U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM131858 (M.L.).U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) RM1 HG008935(C.H.)
6 · The paper itself

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.

Indexed as

MethyltransferasesPseudouridineTranscriptomeHEK293 CellsHeLa CellsHumansMethanocaldococcusRNARNA Processing, Post-TranscriptionalSequence Analysis, RNAMethyltransferasesPseudouridineRNA

Identifiers

PMID41872172
PMCPMC13171889

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.