Generation of 3D ex vivo mouse- and patient-derived glioma explant slice model for integration of confocal time-lapse imaging and spatial analysis

Andrea Comba; Maria Luisa Varela; Syed M. Faisal; Clifford C. Abel; Anna E. Argento; Wajd N. Al-Holou; Todd C. Hollon; Jacqueline D. Perelman; Patrick J. Dunn; Sebastien Motsch; Maria G. Castro; Pedro R. Lowenstein

doi:10.1016/j.xpro.2023.102174

Generation of 3D ex vivo mouse- and patient-derived glioma explant slice model for integration of confocal time-lapse imaging and spatial analysis

Andrea Comba, Maria Luisa Varela, Syed M. Faisal, Clifford C. Abel, Anna E. Argento, Wajd N. Al-Holou, Todd C. Hollon, Jacqueline D. Perelman, Patrick J. Dunn, Sebastien Motsch, Maria G. Castro, Pedro R. Lowenstein

Mathematical and Statistical Sciences, School of (SoMSS)

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Development of spatial-integrative pre-clinical models is needed for glioblastoma, which are heterogenous tumors with poor prognosis. Here, we present an optimized protocol to generate three-dimensional ex vivo explant slice glioma model from orthotopic tumors, genetically engineered mouse models, and fresh patient-derived specimens. We describe a step-by-step workflow for tissue acquisition, dissection, and sectioning of 300-μm tumor slices maintaining cell viability. The explant slice model allows the integration of confocal time-lapse imaging with spatial analysis for studying migration, invasion, and tumor microenvironment, making it a valuable platform for testing effective treatment modalities. For complete details on the use and execution of this protocol, please refer to Comba et al. (2022).¹

Original language	English (US)
Article number	102174
Journal	STAR Protocols
Volume	4
Issue number	2
DOIs	https://doi.org/10.1016/j.xpro.2023.102174
State	Published - Jun 16 2023

Keywords

Biotechnology and Bioengineering
Cancer
Cell Biology
Cell-based Assays
Health Sciences
Microscopy
Model Organisms

ASJC Scopus subject areas

General Neuroscience
General Biochemistry, Genetics and Molecular Biology
General Immunology and Microbiology

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10.1016/j.xpro.2023.102174

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Comba, A., Varela, M. L., Faisal, S. M., Abel, C. C., Argento, A. E., Al-Holou, W. N., Hollon, T. C., Perelman, J. D., Dunn, P. J., Motsch, S., Castro, M. G., & Lowenstein, P. R. (2023). Generation of 3D ex vivo mouse- and patient-derived glioma explant slice model for integration of confocal time-lapse imaging and spatial analysis. STAR Protocols, 4(2), Article 102174. https://doi.org/10.1016/j.xpro.2023.102174

Comba, A, Varela, ML, Faisal, SM, Abel, CC, Argento, AE, Al-Holou, WN, Hollon, TC, Perelman, JD, Dunn, PJ, Motsch, S, Castro, MG & Lowenstein, PR 2023, 'Generation of 3D ex vivo mouse- and patient-derived glioma explant slice model for integration of confocal time-lapse imaging and spatial analysis', STAR Protocols, vol. 4, no. 2, 102174. https://doi.org/10.1016/j.xpro.2023.102174

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title = "Generation of 3D ex vivo mouse- and patient-derived glioma explant slice model for integration of confocal time-lapse imaging and spatial analysis",

abstract = "Development of spatial-integrative pre-clinical models is needed for glioblastoma, which are heterogenous tumors with poor prognosis. Here, we present an optimized protocol to generate three-dimensional ex vivo explant slice glioma model from orthotopic tumors, genetically engineered mouse models, and fresh patient-derived specimens. We describe a step-by-step workflow for tissue acquisition, dissection, and sectioning of 300-μm tumor slices maintaining cell viability. The explant slice model allows the integration of confocal time-lapse imaging with spatial analysis for studying migration, invasion, and tumor microenvironment, making it a valuable platform for testing effective treatment modalities. For complete details on the use and execution of this protocol, please refer to Comba et al. (2022).1",

keywords = "Biotechnology and Bioengineering, Cancer, Cell Biology, Cell-based Assays, Health Sciences, Microscopy, Model Organisms",

author = "Andrea Comba and Varela, {Maria Luisa} and Faisal, {Syed M.} and Abel, {Clifford C.} and Argento, {Anna E.} and Al-Holou, {Wajd N.} and Hollon, {Todd C.} and Perelman, {Jacqueline D.} and Dunn, {Patrick J.} and Sebastien Motsch and Castro, {Maria G.} and Lowenstein, {Pedro R.}",

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year = "2023",

month = jun,

day = "16",

doi = "10.1016/j.xpro.2023.102174",

language = "English (US)",

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AU - Comba, Andrea

AU - Varela, Maria Luisa

AU - Faisal, Syed M.

AU - Abel, Clifford C.

AU - Argento, Anna E.

AU - Al-Holou, Wajd N.

AU - Hollon, Todd C.

AU - Perelman, Jacqueline D.

AU - Dunn, Patrick J.

AU - Motsch, Sebastien

AU - Castro, Maria G.

AU - Lowenstein, Pedro R.

PY - 2023/6/16

Y1 - 2023/6/16

N2 - Development of spatial-integrative pre-clinical models is needed for glioblastoma, which are heterogenous tumors with poor prognosis. Here, we present an optimized protocol to generate three-dimensional ex vivo explant slice glioma model from orthotopic tumors, genetically engineered mouse models, and fresh patient-derived specimens. We describe a step-by-step workflow for tissue acquisition, dissection, and sectioning of 300-μm tumor slices maintaining cell viability. The explant slice model allows the integration of confocal time-lapse imaging with spatial analysis for studying migration, invasion, and tumor microenvironment, making it a valuable platform for testing effective treatment modalities. For complete details on the use and execution of this protocol, please refer to Comba et al. (2022).1

AB - Development of spatial-integrative pre-clinical models is needed for glioblastoma, which are heterogenous tumors with poor prognosis. Here, we present an optimized protocol to generate three-dimensional ex vivo explant slice glioma model from orthotopic tumors, genetically engineered mouse models, and fresh patient-derived specimens. We describe a step-by-step workflow for tissue acquisition, dissection, and sectioning of 300-μm tumor slices maintaining cell viability. The explant slice model allows the integration of confocal time-lapse imaging with spatial analysis for studying migration, invasion, and tumor microenvironment, making it a valuable platform for testing effective treatment modalities. For complete details on the use and execution of this protocol, please refer to Comba et al. (2022).1

KW - Biotechnology and Bioengineering

KW - Cancer

KW - Cell Biology

KW - Cell-based Assays

KW - Health Sciences

KW - Microscopy

KW - Model Organisms

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Generation of 3D ex vivo mouse- and patient-derived glioma explant slice model for integration of confocal time-lapse imaging and spatial analysis

Abstract

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ASJC Scopus subject areas

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