In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets
Preclinical molecular models are useful that mimic a patient´s response to targeted therapy. Here, the authors establish an in vivo inducible RNAi-mediated gene silencing system in patient-derived xenograft models of acute leukemia to identify individual vulnerabilities and therapeutic targets.
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Nature Portfolio
2021
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oai:doaj.org-article:6e797a213a574904a9cff02ded8298442021-12-02T19:17:06ZIn vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets10.1038/s41467-021-25963-z2041-1723https://doaj.org/article/6e797a213a574904a9cff02ded8298442021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25963-zhttps://doaj.org/toc/2041-1723Preclinical molecular models are useful that mimic a patient´s response to targeted therapy. Here, the authors establish an in vivo inducible RNAi-mediated gene silencing system in patient-derived xenograft models of acute leukemia to identify individual vulnerabilities and therapeutic targets.Michela CarletKerstin VölseJenny VergalliMartin BeckerTobias HeroldAnja ArnerDaniela SenftVindi JurinovicWen-Hsin LiuYuqiao GaoVeronika DillBoris FehseClaudia D. BaldusLorenz BastianLennart LenkDenis M. ScheweJohannes W. BagnoliBinje VickJan Philipp SchmidAlexander WilhelmRolf MarschalekPhilipp J. JostCornelius MiethingKristoffer RieckenMarc Schmidt-SupprianVera BinderIrmela JeremiasNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021) |
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Science Q Michela Carlet Kerstin Völse Jenny Vergalli Martin Becker Tobias Herold Anja Arner Daniela Senft Vindi Jurinovic Wen-Hsin Liu Yuqiao Gao Veronika Dill Boris Fehse Claudia D. Baldus Lorenz Bastian Lennart Lenk Denis M. Schewe Johannes W. Bagnoli Binje Vick Jan Philipp Schmid Alexander Wilhelm Rolf Marschalek Philipp J. Jost Cornelius Miething Kristoffer Riecken Marc Schmidt-Supprian Vera Binder Irmela Jeremias In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets |
description |
Preclinical molecular models are useful that mimic a patient´s response to targeted therapy. Here, the authors establish an in vivo inducible RNAi-mediated gene silencing system in patient-derived xenograft models of acute leukemia to identify individual vulnerabilities and therapeutic targets. |
format |
article |
author |
Michela Carlet Kerstin Völse Jenny Vergalli Martin Becker Tobias Herold Anja Arner Daniela Senft Vindi Jurinovic Wen-Hsin Liu Yuqiao Gao Veronika Dill Boris Fehse Claudia D. Baldus Lorenz Bastian Lennart Lenk Denis M. Schewe Johannes W. Bagnoli Binje Vick Jan Philipp Schmid Alexander Wilhelm Rolf Marschalek Philipp J. Jost Cornelius Miething Kristoffer Riecken Marc Schmidt-Supprian Vera Binder Irmela Jeremias |
author_facet |
Michela Carlet Kerstin Völse Jenny Vergalli Martin Becker Tobias Herold Anja Arner Daniela Senft Vindi Jurinovic Wen-Hsin Liu Yuqiao Gao Veronika Dill Boris Fehse Claudia D. Baldus Lorenz Bastian Lennart Lenk Denis M. Schewe Johannes W. Bagnoli Binje Vick Jan Philipp Schmid Alexander Wilhelm Rolf Marschalek Philipp J. Jost Cornelius Miething Kristoffer Riecken Marc Schmidt-Supprian Vera Binder Irmela Jeremias |
author_sort |
Michela Carlet |
title |
In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets |
title_short |
In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets |
title_full |
In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets |
title_fullStr |
In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets |
title_full_unstemmed |
In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets |
title_sort |
in vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/6e797a213a574904a9cff02ded829844 |
work_keys_str_mv |
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