Evidence map›Paper›PMID 41984826›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

A universal polymer signature in Hi-C resolves cohesin loop density and supports monomeric extrusion.

Kirill Polovnikov, Dmitry Starkov

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. A universal polymer signature in Hi-C resolves cohesin loop density and supports monomeric extrusion.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

2 authors.

Kirill PolovnikovAI Center, Skolkovo Institute of Science and Technology, Moscow 121205, Russian Federation.ORCID 0000-0001-9903-9623
Dmitry StarkovAI Center, Skolkovo Institute of Science and Technology, Moscow 121205, Russian Federation.

Funding

Alexander von Humboldt FoundationRussian Science Foundation (RSF) 25-13-00277
6 · The paper itself

Abstract

The genome is folded by molecular motors, yet how many motors are required to generate a single chromatin loop has remained unknown. In vertebrates, cohesin extrudes loops along interphase chromosomes, but the linear density of these loops-and therefore the stoichiometry of extrusion-has not been directly measurable in living cells. A fundamental challenge is that Hi-C contact maps, the primary experimental probe of genome organization, are shaped not only by chromatin folding but also by the physics and biochemistry of contact detection itself. Here, we develop an analytical polymer theory of short-scale chromosome folding that explicitly incorporates the steps of Hi-C detection protocol. The theory predicts a characteristic dip in the logarithmic derivative of the contact probability, arising from the interplay between cohesin-mediated looping and contact capture. This dip is a universal feature of Hi-C data and provides a direct, protocol-aware readout of loop density. Applying the theory to human and mouse datasets reveals a conserved density of approximately six loops per megabase. Independent measurements of chromatin-bound cohesin quantitatively match this value, providing strong evidence that loop extrusion in vivo is predominantly mediated by single cohesin motors.

Indexed as

Cell Cycle ProteinsChromatinChromosomal Proteins, Non-HistonePolymersAnimalsCohesinsHumansMiceCell Cycle ProteinsChromatinChromosomal Proteins, Non-HistoneCohesinsPolymerschromatin organizationcohesinHi-Cloop extrusionpolymer physics

Identifiers

PMID41984826
PMCPMC13099617

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.