Evidence map›Paper›PMID 42082828›Full record

ArticleNature structural & molecular biology2026

Integrated MINFLUX tracking reveals two distinct chromatin dynamics classes across cell types.

Matteo Mazzocca, Domenic N Narducci, Simon Grosse-Holz, Jessica Matthias, Tatiana S Karpova, Anders S Hansen

Abstract read
In one paragraph

Article in Nature structural & molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Current Challenges of Transcription Compartmentalization Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  5. Article
  6. 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.

Matteo Mazzocca *Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2079-1535
Domenic N Narducci *Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-3453-7514
Simon Grosse-Holz *Center for Systems Biology Dresden, Dresden, Germany.ORCID http://orcid.org/0000-0002-0717-5757
Jessica MatthiasAbberior Instruments America, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-6560-2174
Tatiana S KarpovaOptical Microscopy Core, Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-6025-2128
Anders S HansenDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. ashansen@mit.edu.ORCID http://orcid.org/0000-0001-7540-7858

Funding

Center for 3D Structure and Physics of the GenomeUM1HG011536 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DEKKER, JOB, MIRNY, LEONID A · 2020 to 2024
$11.8M
Resolving transcription factor target search mechanismsR01CA300848 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Anders Sejr Hansen · 2024 to 2026
$2.9M
DYNAMIC BOTTOM-UP DISSECTION OF CHROMATIN LOOPING AND GENE REGULATIONDP2GM140938 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HANSEN, ANDERS SEJR · 2020 to 2020
$2.3M
An integrated toolkit for real-time analysis of coupled nascent transcriptionR01EB035127 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Anders Sejr Hansen · 2024 to 2026
$1.3M
Super-resolution microscopy for dynamic analysis of focal enhancer amplifications in cancerR33CA257878 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HANSEN, ANDERS SEJR · 2021 to 2023
$1.1M
3D Chromatin architectural dynamics at ultra-high resolutionR01HG014500 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI Gerd A Blobel, Anders Sejr Hansen · 2026 to 2026
$863k
Ultra-high resolution 3D genome maps for multiple human tissuesR03OD038390 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HANSEN, ANDERS SEJR, LIU, JIE · 2024 to 2024
$309k
NCI NIH HHS R01 CA300848NCI NIH HHS R33 CA257878NHGRI NIH HHS R01 HG014500NHGRI NIH HHS UM1 HG011536NIBIB NIH HHS R01 EB035127NIGMS NIH HHS DP2 GM140938NIH HHS R03 OD038390
6 · The paper itself

Abstract

Chromatin dynamics control the timescales of essential biological processes and reflect how chromatin is organized in the nucleus. Previous studies have reported widely varying degrees of chromatin subdiffusion without consensus. For robust subdiffusion measurements, chromatin should be tracked across a sufficiently large dynamic range. Here we track chromatin movement across seven orders of magnitude in time by integrating MINFLUX microscopy with single-molecule and locus tracking in five mouse and human cell types. We discover two fundamentally different dynamics classes that are cell type specific and not described by common chromatin polymer models. In one class, chromatin displays strong subdiffusion across all timescales (α ~0.3), indicating that the local environment is more quickly searched than the distal. In the other class, chromatin shifts from strongly subdiffusive at short timescales to less subdiffusive, making search less local over long timescales. Both classes are only moderately sensitive to perturbations. Search times under these observed dynamics are extremely short for nearby loci (<100 nm) but almost impossibly long over larger distances (>1 µm); this has important implications for processes involving two-locus contacts, such as enhancer-promoter search and DNA double-strand break repair.

Indexed as

ChromatinSingle Molecule ImagingAnimalsCell NucleusDiffusionHumansMiceChromatin

Identifiers

PMID42082828
PMCPMC13419685

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.