Evidence map›Paper›PMID 42288479›Full record

ArticleNature communications2026

Intrinsic DNA codes govern distinct modes of nucleosome-transcription factor interactions.

Christopher W Carson, Sheethal Umesh Nagalakshmi, Image Adhikari, Julia M Freewoman, Joseph R Pizzi, Prakyat Prakash, Feng Cui

Abstract read
In one paragraph

Article in Nature communications, 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

7 authors.

Christopher W CarsonThomas H. Gosnell School of Life Sciences, College of Science, Rochester Institute of Technology, Rochester, NY, USA.ORCID http://orcid.org/0009-0004-7952-7629
Sheethal Umesh NagalakshmiSpatial Technologies Unit, Beth Israel Deaconess Medical Center, Boston, MA, USA.ORCID http://orcid.org/0009-0003-1187-0706
Image AdhikariDepartment of Computing and Information Sciences Ph.D., Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA.ORCID http://orcid.org/0009-0009-1938-639X
Julia M FreewomanThomas H. Gosnell School of Life Sciences, College of Science, Rochester Institute of Technology, Rochester, NY, USA.
Joseph R PizziThomas H. Gosnell School of Life Sciences, College of Science, Rochester Institute of Technology, Rochester, NY, USA.
Prakyat PrakashDepartment of Computer Science, Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA.ORCID http://orcid.org/0009-0001-5713-1306
Feng CuiThomas H. Gosnell School of Life Sciences, College of Science, Rochester Institute of Technology, Rochester, NY, USA. fxcsbi@rit.edu.ORCID http://orcid.org/0000-0002-5186-5720

Funding

Uncovering the role of a new DNA sequence pattern in nucleosome-protein interactionsR15GM149587 · NIGMS · ROCHESTER INSTITUTE OF TECHNOLOGY · PI CUI, FENG · 2023 to 2025
$491k
Novel deep learning frameworks for predicting nucleosome-binding proteinsR21GM152740 · NIGMS · ROCHESTER INSTITUTE OF TECHNOLOGY · PI CUI, FENG · 2024 to 2025
$378k
NIGMS NIH HHS R15 GM149587NIGMS NIH HHS R21 GM152740U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM149587U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM152740
6 · The paper itself

Abstract

The interplay between transcription factors (TFs) and nucleosomes is central to gene regulation, yet most studies adopt a protein-centric perspective that largely overlooks DNA sequence contributions. Here, we identify four distinct nucleosomal DNA classes, including the canonical WW/SS pattern (W = A/T, S = G/C). All four nucleosome types are widespread across the human genome both in vivo and in vitro. Nucleosomes sharing the same pattern are rotationally in phase, whereas different patterns exhibit specific rotational offsets, revealing distinct DNA codes for nucleosome positioning. Analysis of 744 TFs across eukaryotes shows that the WW/SS and anti-WW/SS patterns are associated with TF binding in chromatin. Differences in the proportions of these patterns in a region, quantified as ΔNPS values, correlate closely with in vitro nucleosome occupancy. Integrating ΔNPS with in vivo nucleosome occupancy identifies four distinct modes of nucleosome-TF interaction and links nucleosomal DNA patterns to nucleosome-depleted regions around TF binding sites.

Indexed as

DNANucleosomesTranscription FactorsAnimalsBinding SitesChromatinGenome, HumanHumansProtein BindingChromatinDNANucleosomesTranscription Factors

Identifiers

PMID42288479
PMCPMC13407906

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.