| Chapter title |
Multiparameter Phenotyping of Human PBMCs Using Mass Cytometry.
|
|---|---|
| Chapter number | 7 |
| Book title |
Immunosenescence
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2963-4_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2962-7, 978-1-4939-2963-4
|
| Authors |
Leipold, Michael D, Newell, Evan W, Maecker, Holden T, Michael D. Leipold, Evan W. Newell, Holden T. Maecker, Leipold, Michael D., Newell, Evan W., Maecker, Holden T. |
| Abstract |
The standard for single-cell analysis of phenotype and function in recent decades has been fluorescence flow cytometry. Mass cytometry is a newer technology that uses heavy metal ions, rather than fluorochromes, as labels for probes such as antibodies. The binding of these ion-labeled probes to cells is quantitated by mass spectrometry. This greatly increases the number of phenotypic and functional markers that can be probed simultaneously. Here, we review topics that must be considered when adapting existing flow cytometry panels to mass cytometry analysis. We present a protocol and representative panels for surface phenotyping and intracellular cytokine staining (ICS) assays. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 18% |
| Student > Ph. D. Student | 18 | 17% |
| Student > Master | 10 | 9% |
| Student > Bachelor | 9 | 8% |
| Student > Postgraduate | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 32 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 25 | 23% |
| Medicine and Dentistry | 13 | 12% |
| Biochemistry, Genetics and Molecular Biology | 12 | 11% |
| Agricultural and Biological Sciences | 11 | 10% |
| Chemistry | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 35 | 33% |