Chapter title |
Urinary protein biomarker database: a useful tool for biomarker discovery.
|
---|---|
Chapter number | 19 |
Book title |
Urine Proteomics in Kidney Disease Biomarker Discovery
|
Published in |
Advances in experimental medicine and biology, November 2014
|
DOI | 10.1007/978-94-017-9523-4_19 |
Pubmed ID | |
Book ISBNs |
978-9-40-179522-7, 978-9-40-179523-4
|
Authors |
Shao C, Chen Shao |
Abstract |
An open-access biomarker database offers a convenient tool for researchers to acquire existing knowledge about proteins and diseases by simply querying its Web site. Biologists can use the biomarker database to assess the confidence and disease specificity of their own research results by cross-study comparison, and bioinformaticians can use it to discover new relationships between diseases and proteins by reanalyzing data via new strategies. This chapter introduces the urinary protein biomarker database, a manually curated database that aim to collect all studies of urinary protein biomarkers from published literature. In the current stage, this database includes very few disease-specific biomarker candidates that have been reported by multiple studies, reflecting current status in the field of urinary biomarker discovery. We believe that this situation will be improved with the development of technologies and accumulation of data, and a more complete and precise biomarker database will play more important role in future studies. |
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Members of the public | 1 | 100% |
Mendeley readers
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Unknown | 14 | 100% |
Demographic breakdown
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Student > Master | 4 | 29% |
Student > Ph. D. Student | 3 | 21% |
Other | 2 | 14% |
Student > Bachelor | 1 | 7% |
Unknown | 4 | 29% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 3 | 21% |
Biochemistry, Genetics and Molecular Biology | 2 | 14% |
Nursing and Health Professions | 1 | 7% |
Computer Science | 1 | 7% |
Immunology and Microbiology | 1 | 7% |
Other | 0 | 0% |
Unknown | 6 | 43% |