Evidence map›Paper›PMID 28334825›Full record

ArticleNucleic acids research2017

The impact of base stacking on the conformations and electrostatics of single-stranded DNA.

Alex Plumridge, Steve P Meisburger, Kurt Andresen, Lois Pollack

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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  13. Hierarchical Assembly of Single-Stranded RNA.Journal of chemical theory and computation · 2024
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  16. Review
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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

4 authors.

Alex PlumridgeSchool of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA.
Steve P MeisburgerDepartment of Chemistry, Princeton University, Princeton, NJ 08544, USA.
Kurt AndresenDepartment of Physics, Gettysburg College, Gettysburg, PA 17325, USA.
Lois PollackSchool of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA.

Funding

RNA folding: from global structure to atomic detailR01GM085062 · NIGMS · CORNELL UNIVERSITY · PI ELBER, RON, POLLACK, LOIS · 2009 to 2017
$2.7M
NIGMS NIH HHS R01 GM085062
6 · The paper itself

Abstract

Single-stranded DNA (ssDNA) is notable for its interactions with ssDNA binding proteins (SSBs) during fundamentally important biological processes including DNA repair and replication. Previous work has begun to characterize the conformational and electrostatic properties of ssDNA in association with SSBs. However, the conformational distributions of free ssDNA have been difficult to determine. To capture the vast array of ssDNA conformations in solution, we pair small angle X-ray scattering with novel ensemble fitting methods, obtaining key parameters such as the size, shape and stacking character of strands with different sequences. Complementary ion counting measurements using inductively coupled plasma atomic emission spectroscopy are employed to determine the composition of the ion atmosphere at physiological ionic strength. Applying this combined approach to poly dA and poly dT, we find that the global properties of these sequences are very similar, despite having vastly different propensities for single-stranded helical stacking. These results suggest that a relatively simple mechanism for the binding of ssDNA to non-specific SSBs may be at play, which explains the disparity in binding affinities observed for these systems.

Indexed as

DNA, Single-StrandedModels, MolecularNucleic Acid ConformationOsmolar ConcentrationScattering, Small AngleStatic ElectricityX-Ray DiffractionDNA, Single-Stranded

Identifiers

PMID28334825
PMCPMC5397193

What OpenQuestion holds

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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.