Evidence map›Paper›PMID 41406167›Full record

ArticlePLoS computational biology2025

A methodology to reduce the localization error in multi-loci microscopy provides new insights into enhancer biology.

Christopher H Bohrer, Daniel R Larson

Abstract read
In one paragraph

Article in PLoS computational biology, 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. Review
  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

2 authors.

Christopher H BohrerLaboratory of Receptor Biology and Gene Expression, National Institutes of Health, Bethesda, Maryland, United States of America.
Daniel R LarsonLaboratory of Receptor Biology and Gene Expression, National Institutes of Health, Bethesda, Maryland, United States of America.ORCID 0000-0001-9253-3055

Funding

Transcription Dynamics in Single CellsZIABC011383 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LARSON, DANIEL · 2011 to 2025
$23.8M
Intramural NIH HHS ZIA BC011383
6 · The paper itself

Abstract

Numerous functions hinge on the spatial arrangement of different genomic loci. Hence, microscopy techniques, such as chromatin tracing, have been developed to localize multiple loci in fixed cells. Depending on the throughput and specifics of the experiment, localization errors can still obscure the true spatial locations. We have developed a post-processing methodology to address this challenge without the need for additional experimentation: Loci Enabled Advanced Resolution (LEAR). By leveraging the fact that localization errors increase the variability of the displacements between loci, and given an approximation of the localization error, we can approximate the ground truth spatial variation for each pair of loci to guide an iterative error correction process. After validating our approach with simulation and experiment, we then applied our approach to existing chromatin tracing data that probed the relation between chromatin organization and Sox2 regulation, where previous work found no clear correlation between enhancer-promoter proximity and transcription bursts in individual cells. We discovered a correlation previously obscured by localization error, clearly demonstrating the need for the methodology. We then investigated the influence of loop-extrusion on higher order multi-way contact frequencies, which dramatically increased with the application of the LEAR method, finding that certain multi-way contacts were only present with loop-extrusion.

Indexed as

Enhancer Elements, GeneticImage Processing, Computer-AssistedMicroscopyAnimalsChromatinComputational BiologyComputer SimulationHumansMiceSOXB1 Transcription FactorsChromatinSOXB1 Transcription Factors

Identifiers

PMID41406167
PMCPMC12747437

What OpenQuestion holds

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Registered trials

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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.