Evidence map›Paper›PMID 41138076›Full record

ArticlePhysical review letters2025

Bridging-Induced Phase Separation and Loop Extrusion Drive Noise in Chromatin Transcription.

Michael Chiang, Cleis Battaglia, Giada Forte, Chris A Brackley, Nick Gilbert, Davide Marenduzzo

Abstract read
In one paragraph

Article in Physical review letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Michael ChiangUniversity of Edinburgh, SUPA, School of Physics and Astronomy, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom.
Cleis BattagliaUniversity of Edinburgh, SUPA, School of Physics and Astronomy, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom.
Giada ForteUniversity of Edinburgh, SUPA, School of Physics and Astronomy, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom.
Chris A BrackleyUniversity of Edinburgh, SUPA, School of Physics and Astronomy, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom.
Nick GilbertUniversity of Edinburgh, MRC Human Genetics Unit, Institute of Genetics and Cancer, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, United Kingdom.
Davide MarenduzzoUniversity of Edinburgh, SUPA, School of Physics and Astronomy, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Cell-to-cell heterogeneity in transcription, or transcriptional noise, is important in cellular development and in disease. The molecular mechanisms driving it are, however, elusive and ill-understood. Here, we use computer simulations to explore the role of 3D chromatin structure in driving transcriptional noise. We study a simple polymer model where proteins-modeling complexes of transcription factors and polymerases-bind multivalently to transcription units-modeling regulatory elements such as promoters and enhancers. We also include cohesinlike factors that extrude chromatin loops that are important for the physiological folding of chromosomes. We find that transcription factor binding creates spatiotemporal patterning and a highly variable correlation time in transcriptional dynamics, which is linked to the cell-to-cell variation in gene expression. Loop extrusion also contributes to noise, as the stochastic nature of this process leads to different networks of cohesin loops in different cells in our model. Our results could be tested with single-cell experiments and provide a pathway to understanding the principles underlying transcriptional plasticity in vivo.

Indexed as

ChromatinModels, GeneticTranscription, GeneticCell Cycle ProteinsChromosomal Proteins, Non-HistoneCohesinsComputer SimulationPhase SeparationTranscription FactorsCell Cycle ProteinsChromatinChromosomal Proteins, Non-HistoneCohesinsTranscription Factors

Identifiers

PMID41138076
PMCPMC7619472

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.