Evidence map›Paper›PMID 38738282›Full record

ArticleJournal of cell science2024

cellPLATO - an unsupervised method for identifying cell behaviour in heterogeneous cell trajectory data.

Michael J Shannon, Shira E Eisman, Alan R Lowe, Tyler F W Sloan, Emily M Mace

Abstract read
In one paragraph

Article in Journal of cell science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. CXCR4 coordinates adhesion, migration, and development of human NK cells.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Acute priming using elevated fluid viscosity recovers 'bioRxiv : the preprint server for biology · 2026
    Article
  8. Review
  9. Tui: A Multigenerational and Expert-Correctable Tracker for Cellular Dynamics.Computational and structural biotechnology journal · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Michael J ShannonDepartment of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Medical Center, NYC, NY 10032, USA.ORCID 0000-0001-7435-829X
Shira E EismanDepartment of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Medical Center, NYC, NY 10032, USA.
Alan R LoweInstitute for the Physics of Living Systems, Institute for Structural and Molecular Biology and London Centre for Nanotechnology, University College London, London WC1H 0AH, UK.ORCID 0000-0002-0558-3597
Tyler F W SloanQuorumetrix Solutions, Montreal, Québec H1T 2H5, Canada.ORCID 0000-0002-7588-6198
Emily M MaceDepartment of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Medical Center, NYC, NY 10032, USA.ORCID 0000-0003-0226-7393

Funding

DEFINING THE ROLE OF CELL MIGRATION IN HUMAN NK CELL DIFFERENTIATIONR01AI137073 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MACE, EMILY MARGARET · 2018 to 2022
$2.0M
Columbia UniversityNational Institute of Allergy and Infectious Diseases R01AI137073NIAID NIH HHS R01 AI137073NIH-NIAID R01AI137073
6 · The paper itself

Abstract

Advances in imaging, segmentation and tracking have led to the routine generation of large and complex microscopy datasets. New tools are required to process this 'phenomics' type data. Here, we present 'Cell PLasticity Analysis Tool' (cellPLATO), a Python-based analysis software designed for measurement and classification of cell behaviours based on clustering features of cell morphology and motility. Used after segmentation and tracking, the tool extracts features from each cell per timepoint, using them to segregate cells into dimensionally reduced behavioural subtypes. Resultant cell tracks describe a 'behavioural ID' at each timepoint, and similarity analysis allows the grouping of behavioural sequences into discrete trajectories with assigned IDs. Here, we use cellPLATO to investigate the role of IL-15 in modulating human natural killer (NK) cell migration on ICAM-1 or VCAM-1. We find eight behavioural subsets of NK cells based on their shape and migration dynamics between single timepoints, and four trajectories based on sequences of these behaviours over time. Therefore, by using cellPLATO, we show that IL-15 increases plasticity between cell migration behaviours and that different integrin ligands induce different forms of NK cell migration.

Indexed as

Cell MovementInterleukin-15Killer Cells, NaturalHumansIntercellular Adhesion Molecule-1SoftwareVascular Cell Adhesion Molecule-1IL15 protein, humanIntercellular Adhesion Molecule-1Interleukin-15Vascular Cell Adhesion Molecule-1Cell migrationCell morphologyData-driven analysisIL-15IntegrinsNK cellsPhenomicsUnsupervised machine learning

Identifiers

PMID38738282
PMCPMC11213520

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.