Multicolor flow cytometric analyses were performed on a BD FACS Aria III. Human leukemic stem cell-like cell RS4;11 (with putative immunophenotype CD133+/CD24+/-, CD34+/-, CD38+, CD10-/Flt3+) was spiked into normal hematopoietic stem-progenitor cells obtained from a “buffy coat” prep (with putative immunophenotype CD133- /CD34+/CD38-/CD10-/Flt-3-) to be used as a model human leukemia patient. To analyze the model system, digital data mixtures of the two cell types were first created and assigned classifiers in order to create truth sets. ROC (Receiver Operating Characteristic) and multidimensional cluster analyses were used to evaluate the specificity and sensitivity of the immunophenotyping panel and for automated cell population identification, respectively. Costs of misclassification (false targeting) were also accounted for by this analysis scheme. Ultimately, this analysis scheme will be applied to use of nanoparticle-antibody conjugates at therapeutic doses for targeted killing of leukemia stem cells preferentially to normal stem –progenitor cells. |
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CITATIONS
Cited by 2 scholarly publications.
Principal component analysis
Leukemia
Stem cells
Blood
Data modeling
Nanoparticles
Expectation maximization algorithms