Multidimensional profiling of drug‐treated cells by Imaging Mass Cytometry

Bouzekri, Alexandre; Esch, Amanda; Ornatsky, Olga

doi:10.1002/2211-5463.12692

Cited by 34 publications

(25 citation statements)

References 64 publications

(78 reference statements)

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“…Finally, a recent preprint by Bouzekri et al has described a workflow for the use of IMC for high content drug screening [Figure 2D; (59)]. A key challenge of these screens is the labor and cost of testing thousands of compounds across many cell lines.…”

Section: Applications Of Mass Cytometry Imagingmentioning

confidence: 99%

Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies

et al. 2019

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High parameter imaging is an important tool in the life sciences for both discovery and healthcare applications. Imaging Mass Cytometry (IMC) and Multiplexed Ion Beam Imaging (MIBI) are two relatively recent technologies which enable clinical samples to be simultaneously analyzed for up to 40 parameters at subcellular resolution. Importantly, these “Mass Cytometry Imaging” (MCI) modalities are being rapidly adopted for studies of the immune system in both health and disease. In this review we discuss, first, the various applications of MCI to date. Second, due to the inherent challenge of analyzing high parameter spatial data, we discuss the various approaches that have been employed for the processing and analysis of data from MCI experiments.

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Section: Applications Of Mass Cytometry Imagingmentioning

confidence: 99%

Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies

et al. 2019

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“…features with survival [38]. IMC has been used to study diabetes [39], profile the immune landscape in multiple sclerosis [40], characterize breast cancer tissue samples [35] and perform multi-dimensional profiling of drugtreated cancer cells [41]. CODEX was utilized to study antitumoral immunity at the invasive front of colorectal cancer [42].…”

Section: High-throughput Single-cell Microscopy and Phenomics: Phenotyping Cellular Behaviors And Responsesmentioning

confidence: 99%

From imaging a single cell to implementing precision medicine: an exciting new era

Karacosta

2021

Emerging Topics in Life Sciences

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In the age of high-throughput, single-cell biology, single-cell imaging has evolved not only in terms of technological advancements but also in its translational applications. The synchronous advancements of imaging and computational biology have produced opportunities of merging the two, providing the scientific community with tools towards observing, understanding, and predicting cellular and tissue phenotypes and behaviors. Furthermore, multiplexed single-cell imaging and machine learning algorithms now enable patient stratification and predictive diagnostics of clinical specimens. Here, we provide an overall summary of the advances in single-cell imaging, with a focus on high-throughput microscopy phenomics and multiplexed proteomic spatial imaging platforms. We also review various computational tools that have been developed in recent years for image processing and downstream applications used in biomedical sciences. Finally, we discuss how harnessing systems biology approaches and data integration across disciplines can further strengthen the exciting applications and future implementation of single-cell imaging on precision medicine.

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“…IMC was first commercialised in 2014 by Fluidigm ® , and validated by the Bodenmiller group, identifying tumour microenvironment heterogeneity in FFPE human breast cancer samples. 77 Since this report, IMC has been established for single-cellular phenotyping in a range of clinical cancerous and diseased tissues, [76][77][78][79] in addition to identifying biodistributions of cisplatin in healthy and tumorous tissues. 80 Although IMC is a powerful platform, there are ongoing developments to further improve its capabilities across applications.…”

Section: Imaging Mass Cytometrymentioning

confidence: 99%

Emerging applications in mass spectrometry imaging; enablers and roadblocks

Russo

Heaton

Flint

et al. 2020

J. Spectral Imaging

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Mass spectrometry imaging (MSI) is a powerful and versatile technique able to investigate the spatial distribution of multiple non-labelled endogenous and exogenous analytes simultaneously, within a wide range of samples. Over the last two decades, MSI has found widespread application for an extensive range of disciplines including pre-clinical drug discovery, clinical applications and human identification for forensic purposes. Technical advances in both instrumentation and software capabilities have led to a continual increase in the interest in MSI; however, there are still some limitations. In this review, we discuss the emerging applications in MSI that significantly impact three key areas of mass spectrometry (MS) research—clinical, pre-clinical and forensics—and roadblocks to the expansion of use of MSI in these areas.

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Multidimensional profiling of drug‐treated cells by Imaging Mass Cytometry

Cited by 34 publications

References 64 publications

Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies

Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies

From imaging a single cell to implementing precision medicine: an exciting new era

Emerging applications in mass spectrometry imaging; enablers and roadblocks

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