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A Computational Workflow for Cell Line Profiling by Imaging Mass Cytometry.

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Τίτλος: A Computational Workflow for Cell Line Profiling by Imaging Mass Cytometry.
Συγγραφείς: Bouzekri A; Standard BioTools Inc, South San Francisco, California, USA., Esch A; Standard BioTools Inc, South San Francisco, California, USA., Ornatsky O; Standard BioTools Inc, South San Francisco, California, USA.
Πηγή: Cytometry. Part A : the journal of the International Society for Analytical Cytology [Cytometry A] 2026 Mar; Vol. 109 (3), pp. 192-209. Date of Electronic Publication: 2026 Mar 19.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 101235694 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-4930 (Electronic) Linking ISSN: 15524922 NLM ISO Abbreviation: Cytometry A Subsets: MEDLINE
Imprint Name(s): Original Publication: Hoboken, N.J. : Wiley-Liss, c2002-
Ιατρικοί όροι (MeSH): Image Cytometry*/methods , Single-Cell Analysis*/methods , Computational Biology*/methods , Neoplasms*/pathology, Cisplatin/pharmacology ; Flow Cytometry/methods ; Image Processing, Computer-Assisted/methods ; Humans ; Cell Line, Tumor ; Workflow ; Phenotype
Περίληψη: In single-cell spatial phenotyping biology, imaging mass cytometry (IMC) stands out as a cutting-edge, highly multiplexed technology driving discoveries across various disease areas. In vitro profiling relies on tumor-derived cancer cell lines, known for their diverse morphologies and phenotypes. A comprehensive analysis of those cell lines presents a direct challenge in predicting cancer progression and drug treatment responses. We demonstrate in our study an adaptable computational workflow we have named IMC Cell Line Profiler as a suite of versatile open-source tools for visual rendering and quantitative segmentation-based analysis of tumor-derived cell lines profiled by IMC. By leveraging our workflow with IMC resolution and multiplexing capabilities, we scrutinized the morphology, phenotypic traits, and spatial arrangement of 10 cultured cell lines from diverse tissues using custom panels of 20-30 metal-labeled antibodies. This allowed us to generate intricate high-dimensional datasets elucidating diverse cellular states with multiple markers. This computational approach was applied to a cisplatin exposure treatment in a resistant cell line to track morpho-phenotypic changes. Our IMC computational study presents new perspectives and applications to profile cell lines as new types of samples and expand the potential of IMC to new fields of discovery.
(© 2026 The Author(s). Cytometry Part A published by Wiley Periodicals LLC on behalf of International Society for Advancement of Cytometry.)
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Contributed Indexing: Keywords: adherent cell lines; cisplatin drug treatment; computational workflow pipeline; high‐dimensional tools; imaging mass cytometry; morphological phenotypes; nuclear state classification; protein expression profiling; single‐cell imaging segmentation; visual rendering analysis
Substance Nomenclature: Q20Q21Q62J (Cisplatin)
Entry Date(s): Date Created: 20260320 Date Completed: 20260711 Latest Revision: 20260711
Update Code: 20260711
DOI: 10.1002/cytoa.70009
PMID: 41858050
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1552-4930
DOI:10.1002/cytoa.70009