Title |
High throughput transcriptome analysis of lipid metabolism in Syrian hamster liver in absence of an annotated genome
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Published in |
BMC Genomics, April 2013
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DOI | 10.1186/1471-2164-14-237 |
Pubmed ID | |
Authors |
Roland Schmucki, Marco Berrera, Erich Küng, Serene Lee, Wolfgang E Thasler, Sabine Grüner, Martin Ebeling, Ulrich Certa |
Abstract |
Whole transcriptome analyses are an essential tool for understanding disease mechanisms. Approaches based on next-generation sequencing provide fast and affordable data but rely on the availability of annotated genomes. However, there are many areas in biomedical research that require non-standard animal models for which genome information is not available. This includes the Syrian hamster Mesocricetus auratus as an important model for dyslipidaemia because it mirrors many aspects of human disease and pharmacological responses. We show that complementary use of two independent next generation sequencing technologies combined with mapping to multiple genome databases allows unambiguous transcript annotation and quantitative transcript imaging. We refer to this approach as "triple match sequencing" (TMS). |
X Demographics
Geographical breakdown
Country | Count | As % |
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Germany | 1 | 33% |
France | 1 | 33% |
United Kingdom | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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India | 1 | 4% |
Germany | 1 | 4% |
Unknown | 24 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 7 | 27% |
Student > Ph. D. Student | 5 | 19% |
Student > Master | 3 | 12% |
Other | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Other | 4 | 15% |
Unknown | 3 | 12% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 15 | 58% |
Biochemistry, Genetics and Molecular Biology | 4 | 15% |
Computer Science | 2 | 8% |
Environmental Science | 1 | 4% |
Psychology | 1 | 4% |
Other | 0 | 0% |
Unknown | 3 | 12% |