Evidence map›Paper›PMID 35988649›Full record

ReviewThe Journal of biological chemistry2022

Tied up in knots: Untangling substrate recognition by the SPOUT methyltransferases.

Sarah E Strassler, Isobel E Bowles, Debayan Dey, Jane E Jackman, Graeme L Conn

Open access · goldAbstract readReview
In one paragraph

Review in The Journal of biological chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

20 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Biomolecular NMR assignments · 2026
    Article
  5. Article
  6. Review
  7. Regulation of RNA-binding proteins by small biomolecules.Nature reviews. Molecular cell biology · 2026
    Review
  8. Probing the function ofMicrobiology spectrum · 2026
    Article
  9. The Landscape of tRNA Modifications in Archaea.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. tRNA mbioRxiv : the preprint server for biology · 2023
    Article
  19. Natural product reports · 2023
    Review
  20. Review
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

5 authors at 2 institutions in 1 country.

Sarah E StrasslerDepartment of Biochemistry, Emory University School of Medicine, Atlanta, Georgia, USA; Graduate Program in Biochemistry, Cell and Developmental Biology, Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, Georgia, USA.
Isobel E BowlesDepartment of Chemistry and Biochemistry, Center for RNA Biology and Ohio State Biochemistry Program, Columbus, Ohio, USA.
Debayan DeyDepartment of Biochemistry, Emory University School of Medicine, Atlanta, Georgia, USA.
Jane E JackmanDepartment of Chemistry and Biochemistry, Center for RNA Biology and Ohio State Biochemistry Program, Columbus, Ohio, USA. Electronic address: jackman.14@osu.edu.
Graeme L ConnDepartment of Biochemistry, Emory University School of Medicine, Atlanta, Georgia, USA; Graduate Program in Biochemistry, Cell and Developmental Biology, Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, Georgia, USA. Electronic address: gconn@emory.edu.
Emory University · USThe Ohio State University · US

Funding

Mechanisms and Biological functions of SPOUT methyltransferasesR01GM130135 · NIGMS · OHIO STATE UNIVERSITY · PI Jane Elizabeth Jackman · 2018 to 2026
$2.3M
NIGMS NIH HHS R01 GM130135
6 · The paper itself

Abstract

The SpoU-TrmD (SPOUT) methyltransferase superfamily was designated when structural similarity was identified between the transfer RNA-modifying enzymes TrmH (SpoU) and TrmD. SPOUT methyltransferases are found in all domains of life and predominantly modify transfer RNA or ribosomal RNA substrates, though one instance of an enzyme with a protein substrate has been reported. Modifications placed by SPOUT methyltransferases play diverse roles in regulating cellular processes such as ensuring translational fidelity, altering RNA stability, and conferring bacterial resistance to antibiotics. This large collection of S-adenosyl-L-methionine-dependent methyltransferases is defined by a unique α/β fold with a deep trefoil knot in their catalytic (SPOUT) domain. Herein, we describe current knowledge of SPOUT enzyme structure, domain architecture, and key elements of catalytic function, including S-adenosyl-L-methionine co-substrate binding, beginning with a new sequence alignment that divides the SPOUT methyltransferase superfamily into four major clades. Finally, a major focus of this review will be on our growing understanding of how these diverse enzymes accomplish the molecular feat of specific substrate recognition and modification, as highlighted by recent advances in our knowledge of protein-RNA complex structures and the discovery of the dependence of one SPOUT methyltransferase on metal ion binding for catalysis. Considering the broad biological roles of RNA modifications, developing a deeper understanding of the process of substrate recognition by the SPOUT enzymes will be critical for defining many facets of fundamental RNA biology with implications for human disease.

Indexed as

MethyltransferasestRNA MethyltransferasesHumansModels, MolecularRNA, TransferS-AdenosylmethionineSubstrate SpecificityMethyltransferasesRNA, TransferS-AdenosylmethioninetRNA Methyltransferasesphylogenetic analysisribosomal RNA (rRNA)RNA methylationS-adenosyl-L-methionine (SAM)SPOUT methyltransferasesubstrate recognitiontransfer RNA (tRNA)

Identifiers

PMID35988649
PMCPMC9508554
OpenAlexW4292416882

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.