| Chapter title |
Tissue Microarrays.
|
|---|---|
| Chapter number | 3 |
| Book title |
Cancer Gene Profiling
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3204-7_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3203-0, 978-1-4939-3204-7
|
| Authors |
Dancau, Ana-Maria, Simon, Ronald, Mirlacher, Martina, Sauter, Guido, Ana-Maria Dancau, Ronald Simon, Martina Mirlacher, Guido Sauter |
| Editors |
Robert Grützmann, Christian Pilarsky |
| Abstract |
Modern next-generation sequencing and microarray technologies allow for the simultaneous analysis of all human genes on the DNA, RNA, miRNA, and methylation RNA level. Studies using such techniques have lead to the identification of hundreds of genes with a potential role in cancer or other diseases. The validation of all of these candidate genes requires in situ analysis of high numbers of clinical tissues samples. The tissue microarray technology greatly facilitates such analysis. In this method minute tissue samples (typically 0.6 mm in diameter) from up to 1000 different tissues can be analyzed on one microscope glass slide. All in situ methods suitable for histological studies can be applied to TMAs without major changes of protocols, including immunohistochemistry, fluorescence in situ hybridization, or RNA in situ hybridization. Because all tissues are analyzed simultaneously with the same batch of reagents, TMA studies provide an unprecedented degree of standardization, speed, and cost efficiency. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 20% |
| Student > Doctoral Student | 3 | 15% |
| Student > Ph. D. Student | 3 | 15% |
| Student > Postgraduate | 2 | 10% |
| Professor > Associate Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 25% |
| Biochemistry, Genetics and Molecular Biology | 4 | 20% |
| Neuroscience | 2 | 10% |
| Nursing and Health Professions | 1 | 5% |
| Environmental Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 30% |