Literature DB >> 23896684

Highly multiplexed phenotypic imaging for cell proliferation studies.

Paolo Cappella1, Fabio Gasparri.   

Abstract

The application of multiplexed imaging technologies in phenotypic drug discovery (PDD) enables profiling of complex cellular perturbations in response to drug treatment. High-content analysis (HCA) is among the most pursued approaches in PDD, with a proven capability to identify compounds with a given cellular mechanism of action (MOA), as well as to unveil unexpected drug cellular activities. The ability of fluorescent image-based cytometric techniques to dissect the phenotypic heterogeneity of cell populations depends on the degree of multiplexing achievable. At present, most high-content assays employ up to four cellular markers separately detected in distinct fluorescence channels. We explored the possibility to increase HCA multiplexing through analysis of multiple proliferation markers in the same fluorescence channel by taking advantage of the different timing of antigen appearance during the cell cycle, or differential intracellular localization. Simultaneous analysis of DAPI staining and five immunofluorescence markers (BrdU incorporation, active caspase-3, phospho-histone H3, phospho-S6, and Ki-67) resulted in the first six-marker high-content assay readily applicable to compound MOA studies. This approach allows detection of rare cell subpopulations, unveiling a high degree of phenotypic heterogeneity in exponentially growing cell cultures and variability in the individual cell response to antiproliferative drugs.

Entities:  

Keywords:  cell cycle; cell-based assays; high-content screening; multiplex assays and technology; phenotypic drug discovery

Mesh:

Substances:

Year:  2013        PMID: 23896684     DOI: 10.1177/1087057113495712

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  8 in total

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Journal:  Assay Drug Dev Technol       Date:  2016-12-22       Impact factor: 1.738

Review 2.  Developments in preclinical cancer imaging: innovating the discovery of therapeutics.

Authors:  James R W Conway; Neil O Carragher; Paul Timpson
Journal:  Nat Rev Cancer       Date:  2014-04-17       Impact factor: 60.716

3.  Three-dimensional image cytometer based on widefield structured light microscopy and high-speed remote depth scanning.

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Journal:  Cytometry A       Date:  2014-10-28       Impact factor: 4.355

Review 4.  Flow Cytometry: Impact on Early Drug Discovery.

Authors:  Bruce S Edwards; Larry A Sklar
Journal:  J Biomol Screen       Date:  2015-03-24

5.  A Benzenesulfonamide-Based Mitochondrial Uncoupler Induces Endoplasmic Reticulum Stress and Immunogenic Cell Death in Epithelial Ovarian Cancer.

Authors:  Fangfang Bi; Ziyan Jiang; Wonmin Park; Tobias M P Hartwich; Zhiping Ge; Kay Y Chong; Kevin Yang; Madeline J Morrison; Dongin Kim; Jaeyeon Kim; Wen Zhang; Liliia M Kril; David S Watt; Chunming Liu; Yang Yang-Hartwich
Journal:  Mol Cancer Ther       Date:  2021-10-08       Impact factor: 6.009

6.  YB-1 transforms human mammary epithelial cells through chromatin remodeling leading to the development of basal-like breast cancer.

Authors:  Alastair H Davies; Kristen M Reipas; Mary Rose Pambid; Rachel Berns; Anna L Stratford; Abbas Fotovati; Natalie Firmino; Arezoo Astanehe; Kaiji Hu; Christopher Maxwell; Gordon B Mills; Sandra E Dunn
Journal:  Stem Cells       Date:  2014-06       Impact factor: 6.277

7.  Single cell dynamic phenotyping.

Authors:  Katherin Patsch; Chi-Li Chiu; Mark Engeln; David B Agus; Parag Mallick; Shannon M Mumenthaler; Daniel Ruderman
Journal:  Sci Rep       Date:  2016-10-06       Impact factor: 4.379

8.  Human Biofield Therapy and the Growth of Mouse Lung Carcinoma.

Authors:  Peiying Yang; Yan Jiang; Patrea R Rhea; Tara Coway; Dongmei Chen; Mihai Gagea; Sean L Harribance; Lorenzo Cohen
Journal:  Integr Cancer Ther       Date:  2019 Jan-Dec       Impact factor: 3.279

  8 in total

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