| Title |
Genome-Wide ENU Mutagenesis in Combination with High Density SNP Analysis and Exome Sequencing Provides Rapid Identification of Novel Mouse Models of Developmental Disease
|
|---|---|
| Published in |
PLOS ONE, March 2013
|
| DOI | 10.1371/journal.pone.0055429 |
| Pubmed ID | |
| Authors |
Georgina Caruana, Peter G. Farlie, Adam H. Hart, Stefan Bagheri-Fam, Megan J. Wallace, Michael S. Dobbie, Christopher T. Gordon, Kerry A. Miller, Belinda Whittle, Helen E. Abud, Ruth M. Arkell, Timothy J. Cole, Vincent R. Harley, Ian M. Smyth, John F. Bertram |
| Abstract |
Mice harbouring gene mutations that cause phenotypic abnormalities during organogenesis are invaluable tools for linking gene function to normal development and human disorders. To generate mouse models harbouring novel alleles that are involved in organogenesis we conducted a phenotype-driven, genome-wide mutagenesis screen in mice using the mutagen N-ethyl-N-nitrosourea (ENU). |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Australia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 25% |
| Student > Ph. D. Student | 7 | 19% |
| Student > Bachelor | 4 | 11% |
| Student > Postgraduate | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 6 | 17% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 44% |
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Medicine and Dentistry | 5 | 14% |
| Business, Management and Accounting | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 5 | 14% |