| Chapter title |
The Tumor Microenvironment
|
|---|---|
| Chapter number | 21 |
| Book title |
The Tumor Microenvironment
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3801-8_21 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3799-8, 978-1-4939-3801-8
|
| Authors |
M'Boutchou, Marie-Noël, van Kempen, Léon C, Marie-Noël M’Boutchou, Léon C. van Kempen |
| Editors |
Josie Ursini-Siegel, Nicole Beauchemin |
| Abstract |
Gene expression analysis in the tumor microenvironment using archived clinical samples is challenging because of formalin fixation, RNA degradation, and limiting sample volume. NanoString gene expression profiling is a RNA-DNA hybrid capture technology that does not require PCR and can accurately quantify the expression of to 800 transcripts in a single reaction. The technology requires 50-100 ng of RNA, which can be degraded ( is this correct?) to a 200 bp fragment size. In contrast to amplification technologies, nanoString counts the actual numbers of transcripts that are captured with transcript-specific and fluorescently-barcoded probes. This chapter describes protocols for RNA extraction, quantification, mRNA and miRNA profiling and data analysis. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 20% |
| Student > Doctoral Student | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 13% |
| Immunology and Microbiology | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Veterinary Science and Veterinary Medicine | 1 | 7% |
| Arts and Humanities | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 5 | 33% |