Robust
and accurate analysis of cell-population heterogeneity is
challenging but required in many areas of biology and medicine. In
particular, it is pivotal to the development of reliable cancer biomarkers.
Here, we prove that cytometry of reaction rate constant (CRRC) can
facilitate such analysis when the kinetic mechanism of a reaction
associated with the heterogeneity is known. In CRRC, the cells are
loaded with a reaction substrate, and its conversion into a product
is followed by time-lapse fluorescence microscopy at the single-cell
level. A reaction rate constant is determined for every cell, and
a kinetic histogram “number of cells versus the rate constant”
is used to determine quantitative parameters of reaction-based cell-population
heterogeneity. Such parameters include, for example, the number and
sizes of subpopulations. In this work, we applied CRRC to a reaction
of substrate extrusion from cells by ATP-binding cassette (ABC) transporters.
This reaction is viewed as a potential basis for predictive biomarkers
of chemoresistance in cancer. CRRC proved to be robust (insensitive
to variations in experimental settings) and accurate for finding quantitative
parameters of cell-population heterogeneity. In contrast, a typical
nonkinetic analysis, performed on the same data sets, proved to be
both nonrobust and inaccurate. Our results suggest that CRRC can potentially
facilitate the development of reliable cancer biomarkers on the basis
of quantitative parameters of cell-population heterogeneity. A plausible
implementation scenario of CRRC-based development, validation, and
clinical use of a predictor of ovarian cancer chemoresistance to its
frontline therapy is presented.