Title |
The transcriptomic profile of peripheral blood nuclear cells in dogs with heart failure
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Published in |
BMC Genomics, June 2014
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DOI | 10.1186/1471-2164-15-509 |
Pubmed ID | |
Authors |
Magdalena Hulanicka, Magdalena Garncarz, Marta Parzeniecka-Jaworska, Michał Jank |
Abstract |
In recent years advances have been made in the investigative methods of molecular background of canine heart disease. Studies have been conducted to identify specific genes which, when pathologically expressed, could lead to the dysfunction of the canine heart or are correlated with heart failure. For this purpose genome wide microarray experiments on tissues from failing hearts have been performed. In the presented study a whole genome microarray analysis was used for the first time to describe the transcription profile of peripheral blood nuclear cells in dogs with heart failure. Dogs with recognized heart disease were classified according the ISACHC (International Small Animal Cardiac Health Council) classification scheme as class 1 (asymptomatic) - 13 dogs, class 2 (mild to moderate heart failure) - 13 dogs and class 3 (severe heart failure) - 12 dogs. The control group consisted of 14 healthy dogs. The clinical picture of the animals included: animal history, clinical examination, echocardiographic examination and where applicable electrocardiographic and radiographic examinations. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 33% |
Members of the public | 1 | 33% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Korea, Republic of | 1 | 5% |
Unknown | 19 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 5 | 25% |
Researcher | 2 | 10% |
Student > Bachelor | 2 | 10% |
Student > Doctoral Student | 1 | 5% |
Other | 1 | 5% |
Other | 5 | 25% |
Unknown | 4 | 20% |
Readers by discipline | Count | As % |
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Veterinary Science and Veterinary Medicine | 4 | 20% |
Biochemistry, Genetics and Molecular Biology | 2 | 10% |
Agricultural and Biological Sciences | 2 | 10% |
Unspecified | 1 | 5% |
Nursing and Health Professions | 1 | 5% |
Other | 4 | 20% |
Unknown | 6 | 30% |