| Chapter title |
FISH-in-CHIPS: A Microfluidic Platform for Molecular Typing of Cancer Cells.
|
|---|---|
| Chapter number | 16 |
| Book title |
Microchip Diagnostics
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6734-6_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6732-2, 978-1-4939-6734-6
|
| Authors |
Karla Perez-Toralla, Guillaume Mottet, Ezgi Tulukcuoglu-Guneri, Jérôme Champ, François-Clément Bidard, Jean-Yves Pierga, Jerzy Klijanienko, Irena Draskovic, Laurent Malaquin, Jean-Louis Viovy, Stéphanie Descroix PhD, Stéphanie Descroix |
| Editors |
Valérie Taly, Jean-Louis Viovy, Stéphanie Descroix |
| Abstract |
Microfluidics offer powerful tools for the control, manipulation, and analysis of cells, in particular for the assessment of cell malignancy or the study of cell subpopulations. However, implementing complex biological protocols on chip remains a challenge. Sample preparation is often performed off chip using multiple manually performed steps, and protocols usually include different dehydration and drying steps that are not always compatible with a microfluidic format.Here, we report the implementation of a Fluorescence in situ Hybridization (FISH) protocol for the molecular typing of cancer cells in a simple and low-cost device. The geometry of the chip allows integrating the sample preparation steps to efficiently assess the genomic content of individual cells using a minute amount of sample. The FISH protocol can be fully automated, thus enabling its use in routine clinical practice. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 33% |
| Researcher | 3 | 20% |
| Student > Master | 1 | 7% |
| Professor | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 3 | 20% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Chemical Engineering | 1 | 7% |
| Business, Management and Accounting | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Other | 5 | 33% |
| Unknown | 2 | 13% |