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Dual Recombinase–Based Mouse Models Help Decipher Cancer Biology and Targets for Therapy
The advent of next-generation sequencing (NGS) and single-cell profiling technologies has revealed the complex and heterogenous ecosystem of human tumors under steady-state and therapeutic perturbation. Breakthroughs in the development of genetically engineered mouse models (GEMM) of human cancers t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351565/ https://www.ncbi.nlm.nih.gov/pubmed/37449355 http://dx.doi.org/10.1158/0008-5472.CAN-22-2119 |
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author | Sket, Tina Falcomatà, Chiara Saur, Dieter |
author_facet | Sket, Tina Falcomatà, Chiara Saur, Dieter |
author_sort | Sket, Tina |
collection | PubMed |
description | The advent of next-generation sequencing (NGS) and single-cell profiling technologies has revealed the complex and heterogenous ecosystem of human tumors under steady-state and therapeutic perturbation. Breakthroughs in the development of genetically engineered mouse models (GEMM) of human cancers that are based on the combination of two site-specific recombinase systems [dual-recombinase system (DRS)] offer fundamental new possibilities to elucidate and understand critical drivers of the diverse tumor phenotypes and validate potential targets for therapy. Here, we discuss opportunities DRS-based cancer GEMMs offer to model, trace, manipulate, and functionally investigate established cancers, their interactions with the host, and their response to therapy. |
format | Online Article Text |
id | pubmed-10351565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-103515652023-07-18 Dual Recombinase–Based Mouse Models Help Decipher Cancer Biology and Targets for Therapy Sket, Tina Falcomatà, Chiara Saur, Dieter Cancer Res Controversy and Consensus The advent of next-generation sequencing (NGS) and single-cell profiling technologies has revealed the complex and heterogenous ecosystem of human tumors under steady-state and therapeutic perturbation. Breakthroughs in the development of genetically engineered mouse models (GEMM) of human cancers that are based on the combination of two site-specific recombinase systems [dual-recombinase system (DRS)] offer fundamental new possibilities to elucidate and understand critical drivers of the diverse tumor phenotypes and validate potential targets for therapy. Here, we discuss opportunities DRS-based cancer GEMMs offer to model, trace, manipulate, and functionally investigate established cancers, their interactions with the host, and their response to therapy. American Association for Cancer Research 2023-07-14 2023-07-14 /pmc/articles/PMC10351565/ /pubmed/37449355 http://dx.doi.org/10.1158/0008-5472.CAN-22-2119 Text en ©2023 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. |
spellingShingle | Controversy and Consensus Sket, Tina Falcomatà, Chiara Saur, Dieter Dual Recombinase–Based Mouse Models Help Decipher Cancer Biology and Targets for Therapy |
title | Dual Recombinase–Based Mouse Models Help Decipher Cancer Biology and Targets for Therapy |
title_full | Dual Recombinase–Based Mouse Models Help Decipher Cancer Biology and Targets for Therapy |
title_fullStr | Dual Recombinase–Based Mouse Models Help Decipher Cancer Biology and Targets for Therapy |
title_full_unstemmed | Dual Recombinase–Based Mouse Models Help Decipher Cancer Biology and Targets for Therapy |
title_short | Dual Recombinase–Based Mouse Models Help Decipher Cancer Biology and Targets for Therapy |
title_sort | dual recombinase–based mouse models help decipher cancer biology and targets for therapy |
topic | Controversy and Consensus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351565/ https://www.ncbi.nlm.nih.gov/pubmed/37449355 http://dx.doi.org/10.1158/0008-5472.CAN-22-2119 |
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