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Mendeley readers
Chapter title |
Determination of miRNAs from Cancer Stem Cells Using a Low Density Array Platform
|
---|---|
Chapter number | 14 |
Book title |
Cancer Stem Cells
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Published in |
Methods in molecular biology, January 2018
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DOI | 10.1007/978-1-4939-7401-6_14 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7400-9, 978-1-4939-7401-6
|
Authors |
Hiromichi Kawasaki, Angela Lombardi, Michele Caraglia |
Abstract |
A microarray approach has been extensively used for global gene expression profiles in many biological research fields such as understanding of pathological mechanism in malignancies and defining of molecular biomarkers to monitor disease status. The most attractive advantage of microarray technology is its application to simultaneous analysis of miRNA expression pattern with a large amount of assessments. In this chapter, we provide a facile and universal protocol for divergent miRNA expression profiles in prostate cancer stem cells with a low density array-based microarray analysis. |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 1 | 14% |
Student > Bachelor | 1 | 14% |
Professor | 1 | 14% |
Student > Ph. D. Student | 1 | 14% |
Researcher | 1 | 14% |
Other | 1 | 14% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 29% |
Neuroscience | 1 | 14% |
Medicine and Dentistry | 1 | 14% |
Unknown | 3 | 43% |