Evidence map›Paper›PMID 40185948›Full record

ArticleNature cell biology2025

Supra-second tracking and live-cell karyotyping reveal principles of mitotic chromosome dynamics.

Rumen Stamatov, Sonya Uzunova, Yoana Kicheva, Maria Karaboeva, Tavian Blagoev, Stoyno Stoynov

Abstract read
In one paragraph

Article in Nature cell biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Mitotic genome folding.The Journal of cell biology · 2025
    Review
  4. Article
  5. 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.

Rumen StamatovInstitute of Molecular Biology, Bulgarian Academy of Sciences, Sofia, Bulgaria. stamatov@bio21.bas.bg.ORCID 0009-0008-3117-9118
Sonya UzunovaInstitute of Molecular Biology, Bulgarian Academy of Sciences, Sofia, Bulgaria.
Yoana KichevaInstitute of Molecular Biology, Bulgarian Academy of Sciences, Sofia, Bulgaria.
Maria KaraboevaInstitute of Molecular Biology, Bulgarian Academy of Sciences, Sofia, Bulgaria.
Tavian BlagoevInstitute of Molecular Biology, Bulgarian Academy of Sciences, Sofia, Bulgaria.
Stoyno StoynovInstitute of Molecular Biology, Bulgarian Academy of Sciences, Sofia, Bulgaria. stoynov@bio21.bas.bg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitotic chromosome dynamics are essential for the three-dimensional organization of the genome during the cell cycle, but the spatiotemporal characteristics of this process remain unclear due to methodological challenges. While Hi-C methods capture interchromosomal contacts, they lack single-cell temporal dynamics, whereas microscopy struggles with bleaching and phototoxicity. Here, to overcome these limitations, we introduce Facilitated Segmentation and Tracking of Chromosomes in Mitosis Pipeline (FAST CHIMP), pairing time-lapse super-resolution microscopy with deep learning. FAST CHIMP tracked all human chromosomes with 8-s resolution from prophase to telophase, identified 15 out of 23 homologue pairs in single cells and compared chromosomal positioning between mother and daughter cells. It revealed a centrosome-motion-dependent flow that governs the mapping between chromosome locations at prophase and their metaphase plate position. In addition, FAST CHIMP measured supra-second dynamics of intra- and interchromosomal contacts. This tool adds a dynamic dimension to the study of chromatin behaviour in live cells, promising advances beyond the scope of existing methods.

Indexed as

Chromosomes, HumanKaryotypingMitosisCentrosomeChromatinDeep LearningHeLa CellsHumansSingle-Cell AnalysisTime-Lapse ImagingChromatin

Identifiers

PMID40185948
PMCPMC11991918

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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.