Literature DB >> 19842055

A survey to establish performance standards for the production of transgenic mice.

Thomas J Fielder1, Laura Barrios, Lluís Montoliu.   

Abstract

The generation of transgenic mice by microinjection of DNA into the pronuclei of fertilized oocytes was described in the early 1980s. A number of parameters affecting the efficiency of the technique were soon identified, including the type of DNA construct, the concentration of DNA being injected, and, most importantly, the strain of mice used for oocyte donors. Since then, hundreds of laboratories and transgenic core facilities across the world have successfully used this technique, essentially as originally described, to create thousands of new transgenic mouse lines. However, the overall procedure continues to be relatively inefficient, in terms of the number of fertilized oocytes required to produce a transgenic mouse, and variations in yields from day to day and construct to construct can be large. Consequently, core facilities often struggle to explain to their customers why a sufficient number of transgenic founders were not produced from a given construct. We believe the field (and individual facilities) would benefit from a rigorous assessment of average yields and expected variations in yields. To this end, we have initiated a survey from the International Society for Transgenic Technologies (ISTT) web site ( www.transtechsociety.org ), to obtain raw microinjection data from as many facilities as possible. We intend to use this data to establish performance standards for the field. Existing facilities will be able to refer to these standards in dealing with dissatisfied clients, and new facilities will be able to aim for an achievable goal. We may even be able to discover an optimum combination of factors that will allow every facility to achieve higher yields.

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Year:  2009        PMID: 19842055     DOI: 10.1007/s11248-009-9335-3

Source DB:  PubMed          Journal:  Transgenic Res        ISSN: 0962-8819            Impact factor:   2.788


  15 in total

1.  Strain-dependent differences in the efficiency of transgenic mouse production.

Authors:  Anna B Auerbach; Rada Norinsky; Weilan Ho; Kasia Losos; Qiuxia Guo; Samprit Chatterjee; Alexandra L Joyner
Journal:  Transgenic Res       Date:  2003-02       Impact factor: 2.788

Review 2.  Size matters: use of YACs, BACs and PACs in transgenic animals.

Authors:  P Giraldo; L Montoliu
Journal:  Transgenic Res       Date:  2001-04       Impact factor: 2.788

Review 3.  Germ-line transformation of mice.

Authors:  R D Palmiter; R L Brinster
Journal:  Annu Rev Genet       Date:  1986       Impact factor: 16.830

Review 4.  Improving the generation of genomic-type transgenic mice by ICSI.

Authors:  Pedro N Moreira; Julio Pozueta; Miriam Pérez-Crespo; Fernando Valdivieso; Alfonso Gutiérrez-Adán; Lluís Montoliu
Journal:  Transgenic Res       Date:  2007-02-16       Impact factor: 2.788

5.  Effect of DNA concentration on transgenesis rates in mice and pigs.

Authors:  M B Nottle; K A Haskard; P J Verma; Z T Du; C G Grupen; S M McIlfatrick; R J Ashman; S J Harrison; H Barlow; P L Wigley; I G Lyons; P J Cowan; R J Crawford; P L Tolstoshev; M J Pearse; A J Robins; A J d'Apice
Journal:  Transgenic Res       Date:  2001-12       Impact factor: 2.788

6.  Factors affecting the efficiency of introducing foreign DNA into mice by microinjecting eggs.

Authors:  R L Brinster; H Y Chen; M E Trumbauer; M K Yagle; R D Palmiter
Journal:  Proc Natl Acad Sci U S A       Date:  1985-07       Impact factor: 11.205

7.  FVB/N: an inbred mouse strain preferable for transgenic analyses.

Authors:  M Taketo; A C Schroeder; L E Mobraaten; K B Gunning; G Hanten; R R Fox; T H Roderick; C L Stewart; F Lilly; C T Hansen
Journal:  Proc Natl Acad Sci U S A       Date:  1991-03-15       Impact factor: 11.205

8.  Gene transfer efficiency during gestation and the influence of co-transfer of non-manipulated embryos on production of transgenic mice.

Authors:  R S Canseco; A E Sparks; R L Page; C G Russell; J L Johnson; W H Velander; R E Pearson; W N Drohan; F C Gwazdauskas
Journal:  Transgenic Res       Date:  1994-01       Impact factor: 2.788

Review 9.  Influence of genetic background on genetically engineered mouse phenotypes.

Authors:  Thomas Doetschman
Journal:  Methods Mol Biol       Date:  2009

10.  Active integration: new strategies for transgenesis.

Authors:  Eric T Shinohara; Joseph M Kaminski; David J Segal; Pawel Pelczar; Ravindra Kolhe; Thomas Ryan; Craig J Coates; Malcolm J Fraser; Alfred M Handler; Ryuzo Yanagimachi; Stefan Moisyadi
Journal:  Transgenic Res       Date:  2007-03-06       Impact factor: 2.788

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  6 in total

1.  9th Transgenic Technology Meeting (TT2010) in Berlin, Germany: a meeting report.

Authors:  Thomas L Saunders; Peter Sobieszczuk
Journal:  Transgenic Res       Date:  2010-04-24       Impact factor: 2.788

2.  Pronuclear Injection-Based Targeted Transgenesis.

Authors:  Samantha L P Schilit; Masato Ohtsuka; Rolen M Quadros; Channabasavaiah B Gurumurthy
Journal:  Curr Protoc Hum Genet       Date:  2016-10-11

3.  Mouse Genome Editing Using the CRISPR/Cas System.

Authors:  Donald W Harms; Rolen M Quadros; Davide Seruggia; Masato Ohtsuka; Gou Takahashi; Lluis Montoliu; Channabasavaiah B Gurumurthy
Journal:  Curr Protoc Hum Genet       Date:  2014-10-01

4.  Microinjection of Zygotes for CRISPR/Cas9-Mediated Insertion of Transgenes into the Murine Rosa26 Safe Harbor.

Authors:  Fabien Delerue; Lars M Ittner
Journal:  Methods Mol Biol       Date:  2022

5.  GONAD: Genome-editing via Oviductal Nucleic Acids Delivery system: a novel microinjection independent genome engineering method in mice.

Authors:  Gou Takahashi; Channabasavaiah B Gurumurthy; Kenta Wada; Hiromi Miura; Masahiro Sato; Masato Ohtsuka
Journal:  Sci Rep       Date:  2015-06-22       Impact factor: 4.379

6.  Glucose transport by epithelia prepared from harvested enterocytes.

Authors:  Yasuhiro Kimura; Marie van der Merwe; Stine B Bering; Himabindu Penmatsa; Veronica G Conoley; Per T Sangild; Anjaparavanda P Naren; Randal K Buddington
Journal:  Cytotechnology       Date:  2013-10-29       Impact factor: 2.058

  6 in total

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