| Chapter title |
Profiling Long Noncoding RNA Expression Using Custom-Designed Microarray.
|
|---|---|
| Chapter number | 5 |
| Book title |
Long Non-Coding RNAs
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3378-5_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3376-1, 978-1-4939-3378-5
|
| Authors |
Zhang, Xinna, Lopez-Berestein, Gabriel, Sood, Anil K, Calin, George A, Xinna Zhang, Gabriel Lopez-Berestein, Anil K. Sood, George A. Calin, Sood, Anil K., Calin, George A. |
| Editors |
Yi Feng, Lin Zhang |
| Abstract |
Long noncoding RNAs (lncRNAs) are an important class of pervasive genes involved in a variety of biological functions. The abnormal expression of lncRNAs has been implicated in a range of many human diseases, including cancer. But only a small number of functional lncRNAs have been well characterized to date. lncRNA expression profiling may help to identify useful molecular biomarkers and targets for novel therapeutic approaches in the future. In this chapter, we describe a highly efficient lncRNA expression profiling method using a custom-designed microarray. |
X Demographics
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| United States | 1 | 100% |
Demographic breakdown
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|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 25% |
| Student > Ph. D. Student | 1 | 25% |
| Researcher | 1 | 25% |
| Other | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 25% |
| Agricultural and Biological Sciences | 1 | 25% |
| Neuroscience | 1 | 25% |
| Unknown | 1 | 25% |