Evidence map›Paper›PMID 39605487›Full record

ArticlebioRxiv : the preprint server for biology2025

Chromatin architecture mapping by multiplex proximity tagging.

Axel Delamarre, Benton Bailey, Jennifer Yavid, Richard Koche, Neeman Mohibullah, Iestyn Whitehouse

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

6 authors.

Axel Delamarre
Benton Bailey
Jennifer Yavid
Richard Koche
Neeman Mohibullah
Iestyn Whitehouse

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromatin plays a pivotal role in genome expression, maintenance, and replication. To better understand chromatin organization, we developed a novel proximity-tagging method which assigns unique DNA barcodes to molecules that associate in 3D space. Using this method - Proximity Copy Paste (PCP) - we mapped the connectivity of individual nucleosomes in Saccharomyces cerevisiae. By analyzing nucleosome positions and spacing on single molecule fibers, we show that chromatin is predominantly organized into regularly spaced nucleosome arrays that can be positioned or delocalized. Basic features of nucleosome arrays are generally explained by gene size and transcription. PCP can also map long-range, multi-way interactions and we provide the first direct evidence supporting a model that metaphase chromosomes are compacted by cohesin loop clustering. Analyzing single-molecule nuclease footprinting data we define distinct chromatin states within a mixed population to show that non-canonical nucleosomes, notably Overlapping-Di-Nucleosomes (OLDN) are a stable feature of chromatin. PCP is a versatile method allowing the detection of the connectivity of individual molecules locally and over large distance to be mapped at high-resolution in a single experiment.

Identifiers

PMID39605487
PMCPMC11601423

What OpenQuestion holds

Textmetadata
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.