Cited by 2RNA and protein synthesis mechanismsAdvanced biosensing and bioanalysis techniquesDNA and Nucleic Acid Chemistry

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

DNA aptamer AptERA 2 targets ERA from Staphylococcus aureus and limits GTP hydrolysis

Open access

Published version of a preprint

Abstract

Abstract Ribosome assembly is a multistep process that ensures a functional ribosome structure. The molecular mechanism that ribosome­associated GTPases (RA­GTPases) use to enhance ribosome assembly accuracy, remains largely to be elucidated. Here, we use systematic evolution of ligands by exponential enrichment (SELEX), followed by sequencing, comprehensive bioinformatics analysis, and biochemical characterization to identify aptamers that target the RA-GTPase ERA of Staphylococcus aureus. ELONA and thermophoresis assays show that the AptERA 2 interaction with ERA is in the 200 nM range of affinity, displays a high level of specificity, and depends on the target structure. Docking to ERA suggests that AptERA 2 interacts with the protein's KH domain, consistent with the aptamer's similarities with helix 45 of the 16S rRNA. AptERA 2 did not interact with a similar RA-GTPase RbgA, conserved at the GTPase core but lacking the KH domain, confirming that the aptamer recognizes and binds the KH domain of ERA. This interaction leads to a significant reduction of 30S-dependent GTP hydrolysis, indicative of allosteric modulation of the enzyme activity or limiting the KH domain interaction with the 3’ end of the 16S rRNA rather than directly blocking GTP binding. Altogether, this work highlights the versatility of aptamers as tools to understand the complex processes of ribosome biogenesis further, offering new insights into bacterial protein synthesis mechanisms.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41598-025-15180-9

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 47

  1. Traub, P. & Nomura, M. Structure and function of Escherichia coli ribosomes. I. Partial fractionation of the functionally active ribosomal proteins and reconstitution of artificial subribosomal particles. J. Mol. Biol. 34, 575–593 (1968). · DOI
  2. Traub, P. & Nomura, M. Structure and function of E. coli ribosomes. V. Reconstitution of functionally active 30S ribosomal particles from RNA and proteins. Proc. Natl. Acad. Sci. USA 59, 777–784 (1968). · DOI
  3. Jomaa, A. et al. Understanding ribosome assembly: the structure of in vivo assembled immature 30S subunits revealed by cryo-electron microscopy. RNA 17, 697 (2011). · DOI
  4. Gor, K. & Duss, O. Emerging quantitative biochemical, structural, and biophysical methods for studying ribosome and protein-RNA complex assembly. Biomolecules 13, 866 (2023). · DOI
  5. Davis, J. H. et al. Modular assembly of the bacterial large ribosomal subunit. Cell 167, 1610-1622.e15 (2016). · DOI
  6. Maiväli, Ü., Paier, A. & Tenson, T. When stable RNA becomes unstable: the degradation of ribosomes in bacteria and beyond. Biol. Chem. 394, 845–855 (2013). · DOI
  7. Sharma, H. & Anand, B. Ribosome assembly defects subvert initiation Factor3 mediated scrutiny of bona fide start signal. Nucleic. Acids Res. 47, 11368–11386 (2019). · DOI
  8. Karbstein, K. Role of GTPases in ribosome assembly. Biopolymers 87, 1–11 (2007). · DOI
  9. Vinogradova, D. S. et al. How the initiating ribosome copes with ppGpp to translate mRNAs. PLoS Biol. 18, e3000593 (2020). · DOI
  10. Milon, P. et al. The nucleotide-binding site of bacterial translation initiation factor 2 (IF2) as a metabolic sensor. Proc. Natl. Acad. Sci. USA 103, 13962–13967 (2006). · DOI
  11. Diez, S., Ryu, J., Caban, K., Gonzalez, R. L. & Dworkin, J. The alarmones (p)ppGpp directly regulate translation initiation during entry into quiescence. Proc. Natl. Acad. Sci. USA 117, 15565–15572 (2020). · DOI
  12. Wood, A., Irving, S. E., Bennison, D. J. & Corrigan, R. M. The (p)ppGpp-binding GTPase Era promotes rRNA processing and cold adaptation in Staphylococcus aureus. PLoS Genet 15, e1008346 (2019). · DOI
  13. Gruffaz, C. & Smirnov, A. GTPase Era at the heart of ribosome assembly. Front Mol Biosci 10, 1263433 (2023). · DOI
  14. Inada, T. et al. Temperature-sensitive lethal mutant of era, a G protein in Escherichia coli. J Bacteriol 171, 5017–5024 (1989). · DOI
  15. Minkovsky, N. et al. Bex, the Bacillus subtilis homolog of the essential Escherichia coli GTPase Era, is required for normal cell division and spore formation. J. Bacteriol. 184, 6389–6394 (2002). · DOI
  16. Bourne, H. R., Sanders, D. A. & McCormick, F. The GTPase superfamily: conserved structure and molecular mechanism. Nature 349, 117–127 (1991). · DOI · Paper page
  17. Paduch, M., Jeleń, F. & Otlewski, J. Structure of small G proteins and their regulators. Acta Biochim. Pol. 48, 829–850 (2001). · DOI
  18. Sharma, M. R. et al. Interaction of Era with the 30S ribosomal subunit implications for 30S subunit assembly. Mol. Cell 18, 319–329 (2005). · DOI
  19. Tu, C. et al. The Era GTPase recognizes the GAUCACCUCC sequence and binds helix 45 near the 3′ end of 16S rRNA. Proc. Natl. Acad. Sci. USA 108, 10156–10161 (2011). · DOI
  20. Tuerk, C. & Gold, L. Systematic evolution of ligands by exponential enrichment: RNA ligands to bacteriophage T4 DNA polymerase. Science 249, 505–510 (1990). · DOI
  21. Bennison, D. J. et al. The stringent response inhibits 70S ribosome formation in staphylococcus aureus by impeding GTPase-ribosome interactions. MBio 12, e02679-e2721 (2021). · DOI
  22. Jeddi, I. & Saiz, L. Three-dimensional modeling of single stranded DNA hairpins for aptamer-based biosensors. Sci. Rep. 7, 1–13 (2017). · DOI
  23. Joseph, D. F. et al. DNA aptamers for the recognition of HMGB1 from Plasmodium falciparum. PLoS ONE 14, e0211756 (2019). · DOI
  24. Alam, K. K., Chang, J. L. & Burke, D. H. FASTAptamer: A bioinformatic toolkit for high-throughput sequence analysis of combinatorial selections. Mol. Ther. Nucleic Acids 4, e230 (2015). · DOI
  25. Kerpedjiev, P., Hammer, S. & Hofacker, I. L. Forna (force-directed RNA): Simple and effective online RNA secondary structure diagrams. Bioinformatics 31, 3377 (2015). · DOI
  26. Yan, Y., Zhang, D., Zhou, P., Li, B. & Huang, S. Y. HDOCK: A web server for protein–protein and protein–DNA/RNA docking based on a hybrid strategy. Nucleic Acids Res. 45, W365 (2017). · DOI
  27. Adasme, M. F. et al. PLIP 2021: expanding the scope of the protein–ligand interaction profiler to DNA and RNA. Nucleic Acids Res. 49, W530–W534 (2021). · DOI
  28. Sujith, S. et al. Aptamers: precision tools for diagnosing and treating infectious diseases. Front Cell Infect Microbiol 14, 1402932 (2024). · DOI
  29. Firpo, M. A., Connelly, M. B., Goss, D. J. & Dahlberg, A. E. Mutations at two invariant nucleotides in the 3’-minor domain of Escherichia coli 16 S rRNA affecting translational initiation and initiation factor 3 function. J Biol Chem 271, 4693–4698 (1996). · DOI
  30. Svoboda, P. & Di Cara, A. Hairpin RNA: A secondary structure of primary importance. Cell. Mol. Life Sci. 63, 901–918 (2006). · DOI · Paper page
  31. Bikard, D., Loot, C., Baharoglu, Z. & Mazel, D. Folded DNA in action: hairpin formation and biological functions in prokaryotes. Microbiol. Mol. Biol. Rev. 74, 570–588 (2010). · DOI
  32. Hirao, I., Madin, K., Endo, Y., Yokoyama, S. & Ellington, A. D. RNA aptamers that bind to and inhibit the ribosome-inactivating protein, pepocin. J. Biol. Chem. 275, 4943–4948 (2000). · DOI
  33. Pant, P. Flexible RNA aptamers as inhibitors of Bacillus anthracis ribosomal protein S8: Insights from molecular dynamics simulations. Biophys. Chem. 312, 107273 (2024). · DOI
  34. Hons, M., Niebel, B., Karnowski, N., Weiche, B. & Famulok, M. Pan-selective aptamers for the family of small GTPases. ChemBioChem 13, 1433–1437 (2012). · DOI
  35. Zhang, N. et al. Structural biology for the molecular insight between aptamers and target proteins. Int. J. Mol. Sci. 22, 4093 (2021). · DOI
  36. Lokesh, G. L. et al. X-aptamer selection and validation. Methods Mol. Biol. 1632, 151–174 (2017). · DOI
  37. Afgan, E. et al. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. Nucleic Acids Res. 46, W537–W544 (2018). · DOI · Paper page
  38. Kramer, S. T., Gruenke, P. R., Alam, K. K., Xu, D. & Burke, D. H. FASTAptameR 2.0: A web tool for combinatorial sequence selections. Mol. Ther. Nucleic Acids 29, 862–870 (2022). · DOI
  39. Madeira, F. et al. The EMBL-EBI job dispatcher sequence analysis tools framework in 2024. Nucleic Acids Res. 52, W521–W525 (2024). · DOI
  40. Katoh, K. & Standley, D. M. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol. Biol. Evol. 30, 772–780 (2013). · DOI · Paper page
  41. Waterhouse, A. M., Procter, J. B., Martin, D. M. A., Clamp, M. & Barton, G. J. Jalview version 2—a multiple sequence alignment editor and analysis workbench. Bioinformatics 25, 1189–1191 (2009). · DOI
  42. Corrigan, R. M., Bellows, L. E., Wood, A. & Gründling, A. PpGpp negatively impacts ribosome assembly affecting growth and antimicrobial tolerance in Grampositive bacteria. Proc. Natl. Acad. Sci. USA 113, E1710–E1719 (2016). · DOI
  43. Gruber, A. R., Lorenz, R., Bernhart, S. H., Neuböck, R. & Hofacker, I. L. The vienna RNA websuite. Nucleic Acids Res. 36, W70–W74 (2008). · DOI
  44. Popenda, M. et al. Automated 3D structure composition for large RNAs. Nucleic Acids Res. 40, e112–e112 (2012). · DOI
  45. Sarzynska, J., Popenda, M., Antczak, M. & Szachniuk, M. RNA tertiary structure prediction using RNAComposer in CASP15. Prot.: Struct., Funct., Bioinf. 91, 1790–1799 (2023).
  46. Zhang, Y., Xiong, Y. & Xiao, Y. 3dDNA: A computational method of building DNA 3D structures. Molecules 27, 5936 (2022). · DOI
  47. Paysan-Lafosse, T. et al. InterPro in 2022. Nucleic Acids Res. 51, D418–D427 (2023). · DOI

Metadata

Authors
Peñaranda, K., Pereira, N., Savva, O., Petrelli, D., Spurio, R., Corrigan, R. M., & Milon, P.
Affiliations
  • Università di Camerino (IT)
  • Peruvian University of Applied Sciences (PE)
  • University of Sheffield (GB)
  • University College Dublin (IE)
Corresponding author
Peñaranda, Katherin
Venue
Scientific Reports
Published
2025-08-22
Volume
15
Issue
1
Pages
30879-30879
ISSN
2045-2322 (ISSN-L)
OpenAlex
W4413430676
Cited by
2
References
4
Citations by year
2026: 2
FWCI
0.60
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by-nc-nd)
  • Research Square (acceptedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Unicam Scientific Publications (University of Camerino) (submittedVersion, cc-by-nc-nd)
  • Repositorio Académico UPC (Universidad Peruana de Ciencias Aplicadas) (submittedVersion)
Funders
  • Horizon 2020 (Marie Sklodowska-Curie Grant Agreement No. 872869)
  • Universidad Peruana de Ciencias Aplicadas
  • BBSRC DTP studentship (grant BB/T007222/1)
  • Wellcome Trust (104110/Z/14/A)
  • Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica (PE501079419-2022)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Nucleic Acid Chemistry
Keywords
DNA aptamers, Staphylococcus aureus, ribosome-associated GTPase, ribosome assembly, KH domain, GTP hydrolysis, allosteric modulation, ribosome biogenesis, SELEX, aptamer-protein binding
MeSH terms
Bacterial Proteins, Guanosine Triphosphate, Hydrolysis, Protein Binding, Ribosomes, RNA, Ribosomal, 16S, Staphylococcus aureus, GTP Phosphohydrolases, SELEX Aptamer Technique, Aptamers, Nucleotide, Molecular Docking Simulation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review