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Dielectrophoretic Microfluidic Chip Enables Single-Cell Measurements for Multidrug Resistance in Heterogeneous Acute Myeloid Leukemia Patient Samples

Overview of attention for article published in Analytical Chemistry, May 2016
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Title
Dielectrophoretic Microfluidic Chip Enables Single-Cell Measurements for Multidrug Resistance in Heterogeneous Acute Myeloid Leukemia Patient Samples
Published in
Analytical Chemistry, May 2016
DOI 10.1021/acs.analchem.5b04446
Pubmed ID
Authors

Avid Khamenehfar, Maher K. Gandhi, Yuchun Chen, Donna E. Hogge, Paul C. H. Li

Abstract

The front-line treatment for adult acute myeloid leukemia (AML) is anthracyline-based combination chemotherapy. However, treatment outcomes remain sub-optimal with relapses frequently observed. Amongst the mechanisms of treatment failure is multidrug resistance (MDR) mediated by the ABCB1, ABCC1 and ABCG2 drug-efflux transporters. Although genetic and phenotypic heterogeneity between leukemic blast cells is a well-recognized phenomenon, there remains minimal data on differences in MDR activity at the individual cell level. Specifically, functional assays that can distinguish the variability in MDR activity between individual leukemic blasts are lacking. Here, we outline a new dielectrophoretic (DEP) chip-based assay. This assay permits measurement of drug accumulation in single-cells, termed same-single-cell analysis in the accumulation mode (SASCA-A). Initially, the assay was optimized in pre-therapy samples from 20 adults with AML whose leukemic blasts had MDR activity against the anthracyline daunorubicin (DNR) tested using multiple MDR inhibitors. Parameters tested were initial drug accumulation, time to achieve signal saturation, fold-increase of DNR accumulation with MDR inhibition, ease of cell trapping, and the ease of maintaining the trapped cells stationary. This enabled categorization into leukemic blast cells with MDR activity (MDR(+)) and leukemic blast cells without MDR activity (MDR(-ve)). Leukemic blasts could also be distinguished from benign white blood cells (notably these also lacked MDR activity). MDR(-ve) blasts were observed to be enriched in samples taken from patients who went on to enter complete remission (CR); whereas MDR(+) blasts were frequently observed in patients who failed to achieve CR following front-line chemotherapy. However, pronounced variability in functional MDR activity between leukemic blasts was observed, with MDR(+) cells not infrequently seen in some patients that went on to achieve CR. Next, we tested MDR activity in two paired AML patient samples. Pre-therapy samples taken from patients that achieved CR to front-line chemotherapy were compared with samples taken at time of subsequent relapse. MDR(+) cells were frequently observed in leukemic blast cells in both pre-therapy and relapsed samples, consistent with MDR as a mechanism of relapse in these patients. We demonstrate the ability of a new DEP microfluidic chip-based assay to identify heterogeneity in MDR activity in leukemic blasts. The test provides a platform for future studies to characterize the mechanistic basis for heterogeneity in MDR activity at the individual cell level.

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Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Student > Master 4 11%
Student > Bachelor 3 9%
Researcher 3 9%
Student > Postgraduate 3 9%
Other 4 11%
Unknown 8 23%
Readers by discipline Count As %
Engineering 8 23%
Biochemistry, Genetics and Molecular Biology 4 11%
Chemistry 4 11%
Medicine and Dentistry 2 6%
Agricultural and Biological Sciences 2 6%
Other 2 6%
Unknown 13 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 May 2016.
All research outputs
#20,323,943
of 22,867,327 outputs
Outputs from Analytical Chemistry
#24,341
of 26,509 outputs
Outputs of similar age
#279,973
of 326,810 outputs
Outputs of similar age from Analytical Chemistry
#217
of 238 outputs
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