Evidence map›Paper›PMID 12414677›Full record

ArticleBiophysical journal2002

Sequence-dependent DNA curvature and flexibility from scanning force microscopy images.

Anita Scipioni, Claudio Anselmi, Giampaolo Zuccheri, Bruno Samori, Pasquale De Santis

Abstract read
In one paragraph

Article in Biophysical journal, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. How acidic amino acid residues facilitate DNA target site selection.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. DNA curvature and flexibility in vitro and in vivo.Quarterly reviews of biophysics · 2010
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Recognition of the DNA sequence by an inorganic crystal surface.Proceedings of the National Academy of Sciences of the United States of America · 2002
    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

5 authors.

Anita ScipioniDipartimento di Chimica, Università La Sapienza, P. le A. Moro 5, Rome I-00185, Italy.
Claudio Anselmi
Giampaolo Zuccheri
Bruno Samori
Pasquale De Santis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper reports a study of the sequence-dependent DNA curvature and flexibility based on scanning force microscopy (SFM) images. We used a palindromic dimer of a 1878-bp pBR322 fragment and collected a large pool of SFM images. The curvature of each imaged chain was measured in modulus and direction. It was found that the ensemble curvature modulus does not allow the separation of static and dynamic contributions to the curvature, whereas the curvature, when its direction in the two dimensions is taken into account, permits the direct separation of the intrinsic curvature contributions static and dynamic contributions. The palindromic symmetry also acted as an internal gauge of the validity of the SFM images statistical analysis. DNA static curvature resulted in good agreement with the predicted sequence-dependent intrinsic curvature. Furthermore, DNA sequence-dependent flexibility was found to correlate with the occurrence of A.T-rich dinucleotide steps along the chain and, in general, with the normalized basepair stacking energy distribution.

Indexed as

Nucleic Acid ConformationBiophysical PhenomenaBiophysicsDimerizationDNAMicroscopy, Atomic ForceModels, StatisticalThermodynamicsDNA

Identifiers

PMID12414677
PMCPMC1302329

What OpenQuestion holds

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Registered trials

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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.