Evidence map›Paper›PMID 41574578›Full record

ArticleeLife2026

Robust assessment of asymmetric division in colon cancer cells.

Domenico Caudo, Chiara Giannattasio, Simone Scalise, Valeria de Turris, Fabio Giavazzi, Giancarlo Ruocco, Giorgio Gosti, Giovanna Peruzzi, Mattia Miotto

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Domenico CaudoCenter for Life Nano and Neuro Science, Istituto Italiano di Tecnologia, Rome, Italy.ORCID https://orcid.org/0009-0002-1523-1939
Chiara GiannattasioCenter for Life Nano and Neuro Science, Istituto Italiano di Tecnologia, Rome, Italy.
Simone ScaliseCenter for Life Nano and Neuro Science, Istituto Italiano di Tecnologia, Rome, Italy.
Valeria de TurrisCenter for Life Nano and Neuro Science, Istituto Italiano di Tecnologia, Rome, Italy.ORCID https://orcid.org/0000-0003-0872-185X
Fabio GiavazziDepartment of Medical Biotechnology and Translational Medicine, University of Milan, Segrate, Italy.
Giancarlo RuoccoCenter for Life Nano and Neuro Science, Istituto Italiano di Tecnologia, Rome, Italy.
Giorgio GostiIstituto di Scienze del Patrimonio Culturale, Consiglio Nazionale delle Ricerche, Montelibretti, Italy.ORCID https://orcid.org/0000-0002-8571-1404
Giovanna PeruzziCenter for Life Nano and Neuro Science, Istituto Italiano di Tecnologia, Rome, Italy.
Mattia MiottoCenter for Life Nano and Neuro Science, Istituto Italiano di Tecnologia, Rome, Italy.ORCID https://orcid.org/0000-0002-0043-8921

Funding

European Innovation Council and Small and Medium-sized Enterprises Executive Agency 101098989European Research Council 855923Italian Ministry of University and Research B53C24009530001National Center for Gene Therapy and Drugs based on RNA Technology financed by EU PNRR MUR J33C22001130001
6 · The paper itself

Abstract

Asymmetric partition of fate determinants during cell division is a hallmark of cell differentiation. Recent work suggested that such a mechanism is hijacked by cancer cells to increase both their phenotypic heterogeneity and plasticity and, in turn, their fitness. To quantify fluctuations in the partitioning of cellular elements, imaging-based approaches are used, whose accuracy is limited by the difficulty of detecting cell divisions. Our work addresses this gap, proposing a general method based on high-throughput flow cytometry measurements coupled with a theoretical framework. We applied our method to a panel of both normal and cancerous human colon cells, showing that different kinds of colon adenocarcinoma cells display very distinct extents of fluctuations in their cytoplasm partition, explained by an asymmetric division of their size. To test the accuracy of our population-level protocol, we directly measure the inherited fractions of cellular elements from extensive time lapses of live-cell laser scanning microscopy, finding excellent agreement across the cell types. Ultimately, our flow cytometry-based method promises to be accurate and easily applicable to a wide range of biological systems where the quantification of partition fluctuations would help account for the observed phenotypic heterogeneity and plasticity.

Indexed as

Asymmetric Cell DivisionCell DivisionColonic NeoplasmsCell Line, TumorFlow CytometryHumansCaco2cancercancer biologydivision noiseHTC-116humanphysics of living systems

Identifiers

PMID41574578
PMCPMC12829991

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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.