Generating a mouse model for relapsed Sonic Hedgehog medulloblastoma

Allie Heller; Fang Du; Yongqiang Liu; Yijun Yang; Zeng Jie Yang

doi:10.1016/j.xpro.2023.102234

Generating a mouse model for relapsed Sonic Hedgehog medulloblastoma

Allie Heller, Fang Du, Yongqiang Liu, Yijun Yang, Zeng Jie Yang

Fox Chase Cancer Center

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

Abstract

Tumor relapse is the leading adverse prognostic factor in medulloblastoma (MB). However, there is still no established mouse model for MB relapse, impeding our efforts to develop strategies to treat relapsed MB. We present a protocol for generating a mouse model for relapsed MB using irradiation by optimizing mouse breeding and age, as well as irradiation dosage and timing. We then detail procedures for determining tumor relapse based on tumor cell trans-differentiation in MB tissue, immunohistochemistry, and tumor cell isolation. For complete details on the use and execution of this protocol, please refer to Guo et al. (2021).¹

Original language	English
Article number	102234
Pages (from-to)	102234
Journal	STAR Protocols
Volume	4
Issue number	2
Early online date	Mar 18 2023
DOIs	https://doi.org/10.1016/j.xpro.2023.102234
State	Published - Jun 16 2023

Keywords

Cancer
Cell Isolation
Microscopy
Model Organisms
Neuroscience

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10.1016/j.xpro.2023.102234

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title = "Generating a mouse model for relapsed Sonic Hedgehog medulloblastoma",

abstract = "Tumor relapse is the leading adverse prognostic factor in medulloblastoma (MB). However, there is still no established mouse model for MB relapse, impeding our efforts to develop strategies to treat relapsed MB. We present a protocol for generating a mouse model for relapsed MB using irradiation by optimizing mouse breeding and age, as well as irradiation dosage and timing. We then detail procedures for determining tumor relapse based on tumor cell trans-differentiation in MB tissue, immunohistochemistry, and tumor cell isolation. For complete details on the use and execution of this protocol, please refer to Guo et al. (2021).1",

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author = "Allie Heller and Fang Du and Yongqiang Liu and Yijun Yang and Yang, {Zeng Jie}",

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AU - Heller, Allie

AU - Du, Fang

AU - Liu, Yongqiang

AU - Yang, Yijun

AU - Yang, Zeng Jie

PY - 2023/6/16

Y1 - 2023/6/16

N2 - Tumor relapse is the leading adverse prognostic factor in medulloblastoma (MB). However, there is still no established mouse model for MB relapse, impeding our efforts to develop strategies to treat relapsed MB. We present a protocol for generating a mouse model for relapsed MB using irradiation by optimizing mouse breeding and age, as well as irradiation dosage and timing. We then detail procedures for determining tumor relapse based on tumor cell trans-differentiation in MB tissue, immunohistochemistry, and tumor cell isolation. For complete details on the use and execution of this protocol, please refer to Guo et al. (2021).1

AB - Tumor relapse is the leading adverse prognostic factor in medulloblastoma (MB). However, there is still no established mouse model for MB relapse, impeding our efforts to develop strategies to treat relapsed MB. We present a protocol for generating a mouse model for relapsed MB using irradiation by optimizing mouse breeding and age, as well as irradiation dosage and timing. We then detail procedures for determining tumor relapse based on tumor cell trans-differentiation in MB tissue, immunohistochemistry, and tumor cell isolation. For complete details on the use and execution of this protocol, please refer to Guo et al. (2021).1

KW - Cancer

KW - Cell Isolation

KW - Microscopy

KW - Model Organisms

KW - Neuroscience

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SP - 102234

JO - STAR Protocols

JF - STAR Protocols

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ER -

Generating a mouse model for relapsed Sonic Hedgehog medulloblastoma

Abstract

Keywords

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