Motivation: Cell populations are never truly homogeneous; individual cells exist in biochemical states that define functional differences between them. New technology based on microfluidic arrays combined with multiplexed quantitative polymerase chain reactions now enables high-throughput single-cell gene expression measurement, allowing assessment of cellular heterogeneity. However, few analytic tools have been developed specifically for the statistical and analytical challenges of single-cell quantitative polymerase chain reactions data.Results: We present a statistical framework for the exploration, quality control and analysis of single-cell gene expression data from microfluidic arrays. We assess accuracy and within-sample heterogeneity of single-cell expression and develop quality control criteria to filter unreliable cell measurements. We propose a statistical model accounting for the fact that genes at the single-cell level can be on (and a continuous expression measure is recorded) or dichotomously off (and the recorded expression is zero). Based on this model, we derive a combined likelihood ratio test for differential expression that incorporates both the discrete and continuous components. Using an experiment that examines treatment-specific changes in expression, we show that this combined test is more powerful than either the continuous or dichotomous component in isolation, or a t-test on the zero-inflated data. Although developed for measurements from a specific platform (Fluidigm), these tools are generalizable to other multi-parametric measures over large numbers of events.Availability: All results presented here were obtained using the SingleCellAssay R package available on GitHub (http://github.com/RGLab/SingleCellAssay).Contact: rgottard@fhcrc.orgSupplementary information: Supplementary data are available at Bioinformatics online.

We describe here a method for optimizing the use of polychromatic flow cytometry (with up to 17 fluorochromes simultaneously) in surface and intracellular staining of human T lymphocytes. We will highlight and discuss how to procedurally optimize key steps in the experimental process before an intracellular cytokine staining assay protocol is finalized. These include but are not limited to the titration of monoclonal antibodies, use of a dead-cell discriminator and 'dump' channel, selection of a cytokine secretion inhibitor, selection of fixation and permeabilization reagents, and inclusion of compensation controls. Building on this basic protocol, we then establish a polychromatic assay designed to detect five separate functions of T lymphocytes (production of three cytokines and one chemokine, and degranulation) while simultaneously identifying multiple surface markers on the responding cells.

DNA vaccination induced antibody to and T cell responses against 3 major HIV-1 subtypes and will be further evaluated as a potential component of a preventive AIDS vaccine regimen.