000179131 001__ 179131
000179131 005__ 20240229145533.0
000179131 0247_ $$2doi$$a10.1038/s41596-021-00677-0
000179131 0247_ $$2pmid$$apmid:35288718
000179131 0247_ $$2ISSN$$a1750-2799
000179131 0247_ $$2ISSN$$a1754-2189
000179131 0247_ $$2altmetric$$aaltmetric:124631789
000179131 037__ $$aDKFZ-2022-00488
000179131 041__ $$aEnglish
000179131 082__ $$a610
000179131 1001_ $$aKaltenbacher, Thorsten$$b0
000179131 245__ $$aCRISPR somatic genome engineering and cancer modeling in the mouse pancreas and liver.
000179131 260__ $$aBasingstoke$$bNature Publishing Group$$c2022
000179131 3367_ $$2DRIVER$$aarticle
000179131 3367_ $$2DataCite$$aOutput Types/Journal article
000179131 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1651581810_6243$$xReview Article
000179131 3367_ $$2BibTeX$$aARTICLE
000179131 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000179131 3367_ $$00$$2EndNote$$aJournal Article
000179131 500__ $$a2022 Apr;17(4):1142-1188
000179131 520__ $$aGenetically engineered mouse models (GEMMs) transformed the study of organismal disease phenotypes but are limited by their lengthy generation in embryonic stem cells. Here, we describe methods for rapid and scalable genome engineering in somatic cells of the liver and pancreas through delivery of CRISPR components into living mice. We introduce the spectrum of genetic tools, delineate viral and nonviral CRISPR delivery strategies and describe a series of applications, ranging from gene editing and cancer modeling to chromosome engineering or CRISPR multiplexing and its spatio-temporal control. Beyond experimental design and execution, the protocol describes quantification of genetic and functional editing outcomes, including sequencing approaches, data analysis and interpretation. Compared to traditional knockout mice, somatic GEMMs face an increased risk for mouse-to-mouse variability because of the higher experimental demands of the procedures. The robust protocols described here will help unleash the full potential of somatic genome manipulation. Depending on the delivery method and envisaged application, the protocol takes 3-5 weeks.
000179131 536__ $$0G:(DE-HGF)POF4-312$$a312 - Funktionelle und strukturelle Genomforschung (POF4-312)$$cPOF4-312$$fPOF IV$$x0
000179131 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
000179131 7001_ $$00000-0001-9337-9539$$aLöprich, Jessica$$b1
000179131 7001_ $$aMaresch, Roman$$b2
000179131 7001_ $$aWeber, Julia$$b3
000179131 7001_ $$aMüller, Sebastian$$b4
000179131 7001_ $$aOellinger, Rupert$$b5
000179131 7001_ $$aGroß, Nina$$b6
000179131 7001_ $$aGriger, Joscha$$b7
000179131 7001_ $$ade Andrade Krätzig, Niklas$$b8
000179131 7001_ $$00000-0001-6494-9432$$aAvramopoulos, Petros$$b9
000179131 7001_ $$00000-0003-4854-6355$$aRamanujam, Deepak$$b10
000179131 7001_ $$aBrummer, Sabine$$b11
000179131 7001_ $$aWidholz, Sebastian A$$b12
000179131 7001_ $$aBärthel, Stefanie$$b13
000179131 7001_ $$aFalcomatà, Chiara$$b14
000179131 7001_ $$aPfaus, Anja$$b15
000179131 7001_ $$aAlnatsha, Ahmed$$b16
000179131 7001_ $$0P:(DE-HGF)0$$aMayerle, Julia$$b17
000179131 7001_ $$0P:(DE-He78)720305ad01dd457e6342703fe99816d8$$aSchmidt-Supprian, Marc$$b18$$udkfz
000179131 7001_ $$aReichert, Maximilian$$b19
000179131 7001_ $$00000-0003-1840-4508$$aSchneider, Günter$$b20
000179131 7001_ $$00000-0002-0441-1953$$aEhmer, Ursula$$b21
000179131 7001_ $$0P:(DE-He78)19484c34bd0a338b52b4c22786721676$$aBraun, Christian Jörg$$b22$$udkfz
000179131 7001_ $$0P:(DE-He78)ff492c619ece40dbfbc80b938bb5deb0$$aSaur, Dieter Karl Maximilian$$b23$$udkfz
000179131 7001_ $$aEngelhardt, Stefan$$b24
000179131 7001_ $$0P:(DE-He78)340f7c2dcaedeae68e4a62c281c7350b$$aRad, Roland$$b25$$udkfz
000179131 773__ $$0PERI:(DE-600)2244966-8$$a10.1038/s41596-021-00677-0$$n4$$p1142-1188$$tNature protocols$$v17$$x1750-2799$$y2022
000179131 909CO $$ooai:inrepo02.dkfz.de:179131$$pVDB
000179131 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b17$$kDKFZ
000179131 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)720305ad01dd457e6342703fe99816d8$$aDeutsches Krebsforschungszentrum$$b18$$kDKFZ
000179131 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)19484c34bd0a338b52b4c22786721676$$aDeutsches Krebsforschungszentrum$$b22$$kDKFZ
000179131 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)ff492c619ece40dbfbc80b938bb5deb0$$aDeutsches Krebsforschungszentrum$$b23$$kDKFZ
000179131 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)340f7c2dcaedeae68e4a62c281c7350b$$aDeutsches Krebsforschungszentrum$$b25$$kDKFZ
000179131 9131_ $$0G:(DE-HGF)POF4-312$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vFunktionelle und strukturelle Genomforschung$$x0
000179131 9141_ $$y2022
000179131 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-02-03
000179131 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-02-03
000179131 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2022-11-17$$wger
000179131 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNAT PROTOC : 2021$$d2022-11-17
000179131 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-17
000179131 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-17
000179131 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-17
000179131 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-17
000179131 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2022-11-17
000179131 915__ $$0StatID:(DE-HGF)9915$$2StatID$$aIF >= 15$$bNAT PROTOC : 2021$$d2022-11-17
000179131 9201_ $$0I:(DE-He78)MU01-20160331$$kMU01$$lDKTK MU LMU zentral$$x0
000179131 9201_ $$0I:(DE-He78)B062-20160331$$kB062$$lB062 Pädiatrische Neuroonkologie$$x1
000179131 980__ $$ajournal
000179131 980__ $$aVDB
000179131 980__ $$aI:(DE-He78)MU01-20160331
000179131 980__ $$aI:(DE-He78)B062-20160331
000179131 980__ $$aUNRESTRICTED