Evidence map›Paper›PMID 36746949›Full record

ArticleNature communications2023

High-throughput single-molecule quantification of individual base stacking energies in nucleic acids.

Jibin Abraham Punnoose, Kevin J Thomas, Arun Richard Chandrasekaran, Javier Vilcapoma, Andrew Hayden, Kacey Kilpatrick, Sweta Vangaveti, Alan Chen, Thomas Banco, Ken Halvorsen

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. 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
6.2field-weighted citation impact, top 3% 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, 41 citations in OpenAlex.

  1. RNAViruses · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Molecules (Basel, Switzerland) · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Doublet decoding of tRNANature communications · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Tuning the stability of DNA tetrahedra with base-stacking interactions.bioRxiv : the preprint server for biology · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 1 institution in 1 country.

Jibin Abraham PunnooseThe RNA Institute, University at Albany, State University of New York, Albany, NY, 12222, USA.ORCID http://orcid.org/0000-0003-2367-6874
Kevin J ThomasThe RNA Institute, University at Albany, State University of New York, Albany, NY, 12222, USA.ORCID http://orcid.org/0000-0002-8305-9184
Arun Richard ChandrasekaranThe RNA Institute, University at Albany, State University of New York, Albany, NY, 12222, USA.
Javier VilcapomaThe RNA Institute, University at Albany, State University of New York, Albany, NY, 12222, USA.
Andrew HaydenThe RNA Institute, University at Albany, State University of New York, Albany, NY, 12222, USA.
Kacey KilpatrickThe RNA Institute, University at Albany, State University of New York, Albany, NY, 12222, USA.ORCID http://orcid.org/0000-0003-1961-0522
Sweta VangavetiThe RNA Institute, University at Albany, State University of New York, Albany, NY, 12222, USA.ORCID http://orcid.org/0000-0002-2274-9544
Alan ChenThe RNA Institute, University at Albany, State University of New York, Albany, NY, 12222, USA.ORCID http://orcid.org/0000-0001-8246-2935
Thomas BancoThe RNA Institute, University at Albany, State University of New York, Albany, NY, 12222, USA.
Ken HalvorsenThe RNA Institute, University at Albany, State University of New York, Albany, NY, 12222, USA. khalvorsen@albany.edu.ORCID http://orcid.org/0000-0002-2578-1339
Albany State University · US

Funding

Manipulating nucleic acids: applications in RNA biosensing, single-molecule analysis, and DNA nanotechnologyR35GM124720 · NIGMS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI Ken A Halvorsen · 2017 to 2026
$4.6M
Thermodynamically Calibrated RNA Simulations to Decode Mechanisms of RNAMolecular RecognitionR35GM133469 · NIGMS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI Alan Austin Chen · 2019 to 2026
$2.9M
NIGMS NIH HHS R35 GM124720NIGMS NIH HHS R35 GM133469
6 · The paper itself

Abstract

Base stacking interactions between adjacent bases in DNA and RNA are important for many biological processes and in biotechnology applications. Previous work has estimated stacking energies between pairs of bases, but contributions of individual bases has remained unknown. Here, we use a Centrifuge Force Microscope for high-throughput single molecule experiments to measure stacking energies between adjacent bases. We found stacking energies strongest between purines (G|A at -2.3 ± 0.2 kcal/mol) and weakest between pyrimidines (C|T at -0.5 ± 0.1 kcal/mol). Hybrid stacking with phosphorylated, methylated, and RNA nucleotides had no measurable effect, but a fluorophore modification reduced stacking energy. We experimentally show that base stacking can influence stability of a DNA nanostructure, modulate kinetics of enzymatic ligation, and assess accuracy of force fields in molecular dynamics simulations. Our results provide insights into fundamental DNA interactions that are critical in biology and can inform design in biotechnology applications.

Indexed as

Nucleic AcidsDNANucleic Acid ConformationRNAThermodynamicsDNANucleic AcidsRNA

Identifiers

PMID36746949
PMCPMC9902561
OpenAlexW4319316319

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.