Multidimensional analysis of the frequencies and rates of cytokine secretion from single cells by quantitative microengraving

The large diversity of cells that comprise the human immune system requires methods that can resolve the individual contributions of specific subsets to an immunological response. Microengraving is process that uses a dense, elastomeric array of microwells to generate microarrays of proteins secreted from large numbers of individual live cells ([similar]10⁴–10⁵ cells/assay). In this paper, we describe an approach based on this technology to quantify the rates of secretion from single immune cells. Numerical simulations of the microengraving process indicated an operating regime between 30 min–4 h that permits quantitative analysis of the rates of secretion. Through experimental validation, we demonstrate that microengraving can provide quantitative measurements of both the frequencies and the distribution in rates of secretion for up to four cytokines simultaneously released from individual viable primary immune cells. The experimental limits of detection ranged from 0.5 to 4 molecules/s for IL-6, IL-17, IFNγ, IL-2, and TNFα. These multidimensional measures resolve the number and intensities of responses by cells exposed to stimuli with greater sensitivity than single-parameter assays for cytokine release. We show that cells from different donors exhibit distinct responses based on both the frequency and magnitude of cytokine secretion when stimulated under different activating conditions. Primary T cells with specific profiles of secretion can also be recovered after microengraving for subsequent expansion in vitro. These examples demonstrate the utility of quantitative, multidimensional profiles of single cells for analyzing the diversity and dynamics of immune responses in vitro and for identifying rare cells from clinical samples.National Institute of Allergy and Infectious Diseases (U.S.) (Award no. 5U19AI050864-07)National Institute of Allergy and Infectious Diseases (U.S.) (Award no. F32AI651003)National Institute of Allergy and Infectious Diseases (U.S.) (Award no. U19AI070352)National Institute of Allergy and Infectious Diseases (U.S.) (Award no. U19AI046130)National Institute of Allergy and Infectious Diseases (U.S.) (Award no. P01AI045757)National Institute of Neurological Disorders and Stroke (U.S.) (Jacob Javits Merit Award (NS2427))Massachusetts Institute of Technology (Texaco- Mangelsdorf Career Development Professor

Determination of effective diffusion coefficients of drug delivery devices by a state observer approach

In this paper we present a state observer approach for the estimation of effective diffusion coefficients of a drug delivery device. In this approach, we construct estimators for the unknown effective diffusion coefficients characterizing the diffusion process of a drug release device using a combination of state observers from the area of adaptive control and the drug diffusion models developed recently by us. We show that the constructed systems are asymptotically stable and the estimators converge to the exact diffusion coefficients. An algorithm is proposed to recursively compute the estimators using a given time series of a release profile of a device. To demonstrate the efficiency and usefulness of this approach, numerical experiments have been performed using experimentally observed drug release profiles of polymeric spherical devices. The numerical results show that the present approach is about 9 times faster than the conventional least squares method when applied to the test problems