| Title |
Using Digital RNA Counting and Flow Cytometry to Compare mRNA with Protein Expression in Acute Leukemias
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049010 |
| Pubmed ID | |
| Authors |
Paula Fernandez, Max Solenthaler, Olivier Spertini, Stephane Quarroz, Alicia Rovo, Pierre-Yves Lovey, Leda Leoncini, Sylvie Ruault-Jungblut, Mathilde D’Asaro, Olivier Schaad, Mylène Docquier, Patrick Descombes, Thomas Matthes |
| Abstract |
The diagnosis of malignant hematologic diseases has become increasingly complex during the last decade. It is based on the interpretation of results from different laboratory analyses, which range from microscopy to gene expression profiling. Recently, a method for the analysis of RNA phenotypes has been developed, the nCounter technology (Nanostring® Technologies), which allows for simultaneous quantification of hundreds of RNA molecules in biological samples. We evaluated this technique in a Swiss multi-center study on eighty-six samples from acute leukemia patients. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 3% |
| Brazil | 1 | 3% |
| India | 1 | 3% |
| Denmark | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 35 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 25% |
| Researcher | 10 | 25% |
| Professor > Associate Professor | 4 | 10% |
| Student > Master | 4 | 10% |
| Lecturer > Senior Lecturer | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 33% |
| Medicine and Dentistry | 12 | 30% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Unspecified | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 8 | 20% |