Evidence map›Paper›PMID 41784266›Full record

ReviewNucleic acids research2026

Nucleosome spacing across cell types, diseases, and ages.

Milena Bikova, Christopher T Clarkson, Vladimir B Teif

Abstract readReview
In one paragraph

Review in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Molecular Acrobats: How CHD Remodelers Shape the Genetic Playground to License Cell Identity.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  4. 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

3 authors.

Milena BikovaSchool of Life Sciences, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom.
Christopher T ClarksonSchool of Life Sciences, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom.
Vladimir B TeifSchool of Life Sciences, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom.ORCID 0000-0002-5931-7534

Funding

BBSRC BB/X511171/1Bowel Cancer UK 24PG0009Cancer Research UK EDDPMA-Nov21\100044Cancer Research UK SEBPCTA-2022/100001Genetics SocietyPancreatic Cancer UK EDG2023-24_Teif
6 · The paper itself

Abstract

Nucleosome spacing patterns in the genome form a unique signature of a given cell, reflecting its chromatin organization and gene expression. Recently, studies of nucleosome spacing have expanded substantially due to the development of novel experimental tools and increased analysis of human samples. This has yielded thousands of high-resolution nucleosome maps across many species and cell types, as well as multiple human datasets that span across different ages and health conditions. With the rapid increase in nucleosome mapping data, their analysis and interpretation have become critically important. Indeed, several discrepancies in nucleosome spacing have been reported recently, using different experimental methods. However, when nucleosome spacing is consistently analysed, it can be linked to biologically important processes: (i) active genomic regions are characterized by shorter distances between nucleosomes in comparison to inactive regions; (ii) cancer cells tend to have shorter distances in comparison to normal cells of the same type; and (iii) ageing usually increases distances between nucleosomes. In many cases, the underlying molecular mechanisms remain to be clarified. Here, we provide a critical analysis of this field, focusing on nucleosome spacing in different types of genomic regions and cell types, as well as changes in cell differentiation, cancer, and ageing.

Indexed as

AgingNucleosomesAnimalsCell DifferentiationChromatinHumansNeoplasmsChromatinNucleosomes

Identifiers

PMID41784266
PMCPMC12961432

What Socratic 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 Socratic graph.