Title |
A comparative phenotypic and genomic analysis of C57BL/6J and C57BL/6N mouse strains
|
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Published in |
Genome Biology, July 2013
|
DOI | 10.1186/gb-2013-14-7-r82 |
Pubmed ID | |
Authors |
Michelle M Simon, Simon Greenaway, Jacqueline K White, Helmut Fuchs, Valérie Gailus-Durner, Sara Wells, Tania Sorg, Kim Wong, Elodie Bedu, Elizabeth J Cartwright, Romain Dacquin, Sophia Djebali, Jeanne Estabel, Jochen Graw, Neil J Ingham, Ian J Jackson, Andreas Lengeling, Silvia Mandillo, Jacqueline Marvel, Hamid Meziane, Frédéric Preitner, Oliver Puk, Michel Roux, David J Adams, Sarah Atkins, Abdel Ayadi, Lore Becker, Andrew Blake, Debra Brooker, Heather Cater, Marie-France Champy, Roy Combe, Petr Danecek, Armida di Fenza, Hilary Gates, Anna-Karin Gerdin, Elisabetta Golini, John M Hancock, Wolfgang Hans, Sabine M Hölter, Tertius Hough, Pierre Jurdic, Thomas M Keane, Hugh Morgan, Werner Müller, Frauke Neff, George Nicholson, Bastian Pasche, Laura-Anne Roberson, Jan Rozman, Mark Sanderson, Luis Santos, Mohammed Selloum, Carl Shannon, Anne Southwell, Glauco P Tocchini-Valentini, Valerie E Vancollie, Henrik Westerberg, Wolfgang Wurst, Min Zi, Binnaz Yalcin, Ramiro Ramirez-Solis, Karen P Steel, Ann-Marie Mallon, Martin Hrabě de Angelis, Yann Herault, Steve DM Brown |
Abstract |
The mouse inbred line C57BL/6J is widely used in mouse genetics and its genome has been incorporated into many genetic reference populations. More recently large initiatives such as the International Knockout Mouse Consortium (IKMC) are using the C57BL/6N mouse strain to generate null alleles for all mouse genes. Hence both strains are now widely used in mouse genetics studies. Here we perform a comprehensive genomic and phenotypic analysis of the two strains to identify differences that may influence their underlying genetic mechanisms. |
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Geographical breakdown
Country | Count | As % |
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United States | 2 | 12% |
United Kingdom | 2 | 12% |
Switzerland | 1 | 6% |
Japan | 1 | 6% |
Spain | 1 | 6% |
Unknown | 10 | 59% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 65% |
Scientists | 5 | 29% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | <1% |
Japan | 3 | <1% |
Germany | 2 | <1% |
Korea, Republic of | 2 | <1% |
United Kingdom | 2 | <1% |
Italy | 1 | <1% |
Austria | 1 | <1% |
Australia | 1 | <1% |
Netherlands | 1 | <1% |
Other | 4 | <1% |
Unknown | 539 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 132 | 24% |
Student > Ph. D. Student | 124 | 22% |
Student > Master | 54 | 10% |
Student > Bachelor | 37 | 7% |
Student > Doctoral Student | 33 | 6% |
Other | 78 | 14% |
Unknown | 101 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 163 | 29% |
Biochemistry, Genetics and Molecular Biology | 108 | 19% |
Neuroscience | 51 | 9% |
Medicine and Dentistry | 47 | 8% |
Immunology and Microbiology | 33 | 6% |
Other | 32 | 6% |
Unknown | 125 | 22% |