Evidence map›Paper›PMID 40803550›Full record

ReviewJournal of molecular biology2026

Contributions of Local Structural and Energetic Features of DNA to Large-scale Genomic Organization.

Wilma K Olson, Nicolas Clauvelin, Stefjord Todolli, Xiang-Jun Lu

Abstract readReview
In one paragraph

Review in Journal of molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Wilma K OlsonDepartment of Chemistry & Chemical Biology, Center for Quantitative Biology, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA. Electronic address: wilma.olson@rutgers.edu.
Nicolas ClauvelinDepartment of Chemistry & Chemical Biology, Center for Quantitative Biology, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA.
Stefjord TodolliDepartment of Chemistry & Chemical Biology, Center for Quantitative Biology, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA.
Xiang-Jun LuDepartment of Biological Sciences, Columbia University, New York, NY 10027, USA.

Funding

THEORETICFAL ASPECTS OF DNA SUPERCOILINGR01GM034809 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI OLSON, WILMA K · 1985 to 2019
$4.6M
X3DNA-DSSR: a resource for structural bioinformatics of nucleic acidsR24GM153869 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Xiang-Jun Lu · 2024 to 2026
$1.5M
NIGMS NIH HHS R01 GM034809NIGMS NIH HHS R24 GM153869
6 · The paper itself

Abstract

The three-dimensional architecture of the genome is intimately tied to fundamental biological processes. How the primary sequence of DNA base pairs leads to the complex folding and dynamics of a full chromosome is an open question. Here we present a picture of chromatin folding that is emerging from the combination of fine structural data with novel experimental measurements and increasingly coarse grained, interconnected levels of DNA modeling. We draw attention to the role of DNA twist in the spacing of nucleosomes and the effects of nucleosome spacing and the surprising influence of nucleosomal twist on the expansion and compression of short simulated chromatin arrays. We also discuss the connection between base-pair and nucleosome-level treatments of DNA and the direct connection between protein and DNA fine structure, with investigations of chromatin looping based on these treatments.

Indexed as

DNAGenomeChromatinHumansModels, MolecularNucleic Acid ConformationNucleosomesChromatinDNANucleosomeshigher-order chromatin structureMonte Carlo DNA simulationsnucleosomal twistoligonucleosome arrays

Identifiers

PMID40803550
PMCPMC13288353

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.