Evidence map›Paper›PMID 39896524›Full record

ArticlebioRxiv : the preprint server for biology2025

Pervasive and programmed nucleosome distortion patterns on single mammalian chromatin fibers.

Marty G Yang, Hannah J Richter, Simai Wang, Colin P McNally, Nicole Harris, Simaron Dhillon, Michela Maresca, Elzo de Wit, Holger Willenbring, Jacquelyn Maher and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Marty G YangGladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158.ORCID 0000-0001-5788-3092
Hannah J RichterGladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158.ORCID 0000-0001-8954-9136
Simai WangGladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158.ORCID 0009-0005-2292-6116
Colin P McNallyGladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158.
Nicole HarrisGladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158.
Simaron DhillonLiver Center, University of California, San Francisco, San Francisco, CA 94143.
Michela MarescaDivision of Gene Regulation, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Elzo de WitDivision of Gene Regulation, The Netherlands Cancer Institute, Amsterdam, Netherlands.ORCID 0000-0003-2883-1415
Holger WillenbringLiver Center, University of California, San Francisco, San Francisco, CA 94143.ORCID 0000-0002-7397-2957
Jacquelyn MaherLiver Center, University of California, San Francisco, San Francisco, CA 94143.ORCID 0000-0002-2509-8484
Hani GoodarziDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94158.ORCID 0000-0002-9648-8949
Vijay RamaniGladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158.ORCID 0000-0003-3345-5960

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Holger Willenbring · 1986 to 2026
$30.7M
NRSA Hepatology Training GrantT32DK060414 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mandana Khalili, JACQUELYN J. MAHER · 2002 to 2026
$6.8M
Modulation and functional characterization of protein condensation in chromatin organizationU01DK127421 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, BO, NARLIKAR, GEETA J · 2020 to 2024
$5.4M
SINGLE-CELL CHEMICAL TRANSCRIPTOMIC DISSECTION OF AN ESSENTIAL TRANSCRIPTION FACTOR NETWORKDP2HG012442 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RAMANI, VIJAY · 2021 to 2024
$2.6M
NHGRI NIH HHS DP2 HG012442NIDDK NIH HHS P30 DK026743NIDDK NIH HHS T32 DK060414NIDDK NIH HHS U01 DK127421
6 · The paper itself

Abstract

We present a genome-scale method to map the single-molecule co-occupancy of structurally distinct nucleosomes, subnucleosomes, and other protein-DNA interactions via long-read high-resolution adenine methyltransferase footprinting. Iteratively Defined Lengths of Inaccessibility (IDLI) classifies nucleosomes on the basis of shared patterns of intranucleosomal accessibility, into: i.) minimally-accessible chromatosomes; ii.) octasomes with stereotyped DNA accessibility from superhelical locations (SHLs) ±1 through ±7; iii.) highly-accessible unwrapped nucleosomes; and iv.) subnucleosomal species, such as hexasomes, tetrasomes, and other short DNA protections. Applying IDLI to mouse embryonic stem cell (mESC) chromatin, we discover widespread nucleosomal distortion on individual mammalian chromatin fibers, with >85% of nucleosomes surveyed displaying degrees of intranucleosomally accessible DNA. We observe epigenomic-domain-specific patterns of distorted nucleosome co-occupancy and positioning, including at enhancers, promoters, and mouse satellite repeat sequences. Nucleosome distortion is programmed by the presence of bound transcription factors (TFs) at cognate motifs; occupied TF binding sites are differentially decorated by distorted nucleosomes compared to unbound sites, and degradation experiments establish direct roles for TFs in structuring binding-site proximal nucleosomes. Finally, we apply IDLI in the context of primary mouse hepatocytes, observing evidence for pervasive nucleosomal distortion

Identifiers

PMID39896524
PMCPMC11785029

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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 OpenQuestion graph.