Evidence map›Paper›PMID 41799556›Full record

ArticleAPL bioengineering2026

A vertically integrated system for tracking and assessing cell-cycle-aware phenotypes under confinement.

Melissa Pezzotti, Eloisa Torchia, Julius Zimmermann, Sara Rigolli, Alessandro Enrico, Martina Sarchi, Moises Di Sante, Francesco S Pasqualini

Abstract read
In one paragraph

Article in APL bioengineering, 2026. 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

8 authors.

Melissa PezzottiSynthetic Physiology Lab, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0009-0008-4737-1825
Eloisa TorchiaSynthetic Physiology Lab, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0001-6401-9438
Julius ZimmermannSynthetic Physiology Lab, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0003-1486-0426
Sara RigolliSynthetic Physiology Lab, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0009-0007-4910-2939
Alessandro EnricoSynthetic Physiology Lab, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0002-8821-6759
Moises Di SanteSynthetic Physiology Lab, Department of Internal Medicine and Medical Therapy, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0002-4174-1257
Francesco S PasqualiniSynthetic Physiology Lab, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0001-7038-3121

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative cell biology often examines migration and cell-cycle (CC) progression separately, limiting insights into their interplay under spatial constraints. Here, we present a vertically integrated platform combining multiplexed fluorescent reporters for CC phases, actin, and tubulin with photopatterned extracellular matrix islands of defined sizes, alongside an automated imaging pipeline (Fab2Mic) for high-throughput, live-cell tracking of migration and CC dynamics under planar confinement. Using HT1080 fibrosarcoma cells, we observed that planar confinement progressively reduced cell area and cytoskeletal spread, altered CC phase distributions, and increased abnormal CC events, including prolonged G1 and mitotic slippage, which is unique to confined conditions. Dynamic imaging revealed CC-dependent motility variations, with faster migration in G1. This system enables systematic, CC-aware mechanobiology studies under controlled confinement, providing access to dynamic phenotypes inaccessible to static assays and offering a scalable approach for mechanistic investigations and screening applications.

Identifiers

PMID41799556
PMCPMC12962752

What Socratic holds

Textmetadata
LicenceCC BY
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.