Cellular Heterogeneity
Humana Press, New York, NY
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X Demographics
Mendeley readers
| Chapter title |
Characterizing Cell Heterogeneity Using PCR Fingerprinting of Surface Multigene Families in Protozoan Parasites
|
|---|---|
| Chapter number | 15 |
| Book title |
Methods in Molecular Biology
|
| Published by |
Springer New York, February 2018
|
| DOI | 10.1007/978-1-4939-7680-5_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7679-9, 978-1-4939-7680-5
|
| Authors |
Víctor Seco-Hidalgo, Antonio Osuna, Luis Miguel de Pablos |
| Abstract |
Parasites counteract the action of the immune system and other environmental pressures by modulating and changing the composition of their cell surfaces. Surface multigene protein families are defined not only by highly variable regions in length and/or sequence exposed to the outer space but also by conserved sequences codifying for the signal peptide, hydrophobic C-terminal regions necessary for GPI modifications, as well as conserved UTR regions for mRNA regulation. The method here presented exploits these conserved signatures for characterizing variations in the mRNA expression of clonal cell populations of protozoan parasites using a combination of nested PCR amplification and capillary electrophoresis. With this workflow, in silico gels from isolated cell clones can be generated, thus providing an excellent tool for analyzing cellular heterogeneity in protozoan parasites. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 60% |
| Student > Ph. D. Student | 1 | 20% |
| Student > Postgraduate | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Agricultural and Biological Sciences | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
| Unknown | 2 | 40% |