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Mendeley readers
| Chapter title |
Methods for the Identification of PTEN-Targeting MicroRNAs
|
|---|---|
| Chapter number | 9 |
| Book title |
PTEN
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3299-3_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3297-9, 978-1-4939-3299-3
|
| Authors |
Andrea Tuccoli, Marianna Vitiello, Andrea Marranci, Francesco Russo, Laura Poliseno |
| Abstract |
The identification of PTEN-targeting microRNAs usually starts from an in silico bioinformatic prediction and then requires a careful experimental validation that exploits both heterologous and endogenous systems. Here we describe the methods used to carry on these analyses and experiments, examining pitfalls and alternatives for each step. Moreover, we give an overview of the latest high-throughput microRNA target identification techniques which offer a more comprehensive view of the microRNAs that can bind a fundamental tumor suppressor such as PTEN. |
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 % |
|---|---|---|
| Student > Ph. D. Student | 1 | 14% |
| Student > Postgraduate | 1 | 14% |
| Unknown | 5 | 71% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Agricultural and Biological Sciences | 1 | 14% |
| Unknown | 5 | 71% |