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Generating patient-derived ascites-dependent xenograft mouse models of peritoneal carcinomatosis

Clinically relevant animal models are crucial for effective development of therapeutics for peritoneal carcinomatosis (PC). This protocol describes the generation of patient-derived ascites-dependent xenograft (PDADX) models from the cellular component of ascites. The use of routine intraperitoneal...

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Autores principales: Liu, Ying, Ng, Wai Har, Zhu, Hong-Yuan, Tan, Qiu Xuan, Hendrikson, Josephine, Tan, Joey Wee-Shan, Ng, Gillian, Lim, Weng Khong, Ong, Chin-Ann Johnny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294250/
https://www.ncbi.nlm.nih.gov/pubmed/35842864
http://dx.doi.org/10.1016/j.xpro.2022.101548
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author Liu, Ying
Ng, Wai Har
Zhu, Hong-Yuan
Tan, Qiu Xuan
Hendrikson, Josephine
Tan, Joey Wee-Shan
Ng, Gillian
Lim, Weng Khong
Ong, Chin-Ann Johnny
author_facet Liu, Ying
Ng, Wai Har
Zhu, Hong-Yuan
Tan, Qiu Xuan
Hendrikson, Josephine
Tan, Joey Wee-Shan
Ng, Gillian
Lim, Weng Khong
Ong, Chin-Ann Johnny
author_sort Liu, Ying
collection PubMed
description Clinically relevant animal models are crucial for effective development of therapeutics for peritoneal carcinomatosis (PC). This protocol describes the generation of patient-derived ascites-dependent xenograft (PDADX) models from the cellular component of ascites. The use of routine intraperitoneal injection of the fluid component of ascites is analogous to the biological events occurring intra-abdominally in patients with PC. By serving as a proxy, PDADX models represent a valuable tool for preclinical testing of new therapeutics for PC. For complete details on the use and execution of this protocol, please refer to Hendrikson et al. (2022).
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spelling pubmed-92942502022-07-20 Generating patient-derived ascites-dependent xenograft mouse models of peritoneal carcinomatosis Liu, Ying Ng, Wai Har Zhu, Hong-Yuan Tan, Qiu Xuan Hendrikson, Josephine Tan, Joey Wee-Shan Ng, Gillian Lim, Weng Khong Ong, Chin-Ann Johnny STAR Protoc Protocol Clinically relevant animal models are crucial for effective development of therapeutics for peritoneal carcinomatosis (PC). This protocol describes the generation of patient-derived ascites-dependent xenograft (PDADX) models from the cellular component of ascites. The use of routine intraperitoneal injection of the fluid component of ascites is analogous to the biological events occurring intra-abdominally in patients with PC. By serving as a proxy, PDADX models represent a valuable tool for preclinical testing of new therapeutics for PC. For complete details on the use and execution of this protocol, please refer to Hendrikson et al. (2022). Elsevier 2022-07-16 /pmc/articles/PMC9294250/ /pubmed/35842864 http://dx.doi.org/10.1016/j.xpro.2022.101548 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Liu, Ying
Ng, Wai Har
Zhu, Hong-Yuan
Tan, Qiu Xuan
Hendrikson, Josephine
Tan, Joey Wee-Shan
Ng, Gillian
Lim, Weng Khong
Ong, Chin-Ann Johnny
Generating patient-derived ascites-dependent xenograft mouse models of peritoneal carcinomatosis
title Generating patient-derived ascites-dependent xenograft mouse models of peritoneal carcinomatosis
title_full Generating patient-derived ascites-dependent xenograft mouse models of peritoneal carcinomatosis
title_fullStr Generating patient-derived ascites-dependent xenograft mouse models of peritoneal carcinomatosis
title_full_unstemmed Generating patient-derived ascites-dependent xenograft mouse models of peritoneal carcinomatosis
title_short Generating patient-derived ascites-dependent xenograft mouse models of peritoneal carcinomatosis
title_sort generating patient-derived ascites-dependent xenograft mouse models of peritoneal carcinomatosis
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294250/
https://www.ncbi.nlm.nih.gov/pubmed/35842864
http://dx.doi.org/10.1016/j.xpro.2022.101548
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