Publications by authors named "W W Stewart"

Recent single-cell experiments that measure copy numbers of over 40 proteins in individual cells at different time points [time-stamped snapshot (TSS) data] exhibit cell-to-cell variability. Because the same cells cannot be tracked over time, TSS data provide key information about the time-evolution of protein abundances that could yield mechanisms that underlie signaling kinetics. We recently developed a generalized method of moments (GMM) based approach that estimates parameters of mechanistic models using TSS data.

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Uncovering mechanisms and predicting tumor cell responses to CAR-NK cytotoxicity is essential for improving therapeutic efficacy. Currently, the complexity of these effector-target interactions and the donor-to-donor variations in NK cell receptor (NKR) repertoire require functional assays to be performed experimentally for each manufactured CAR-NK cell product and target combination. Here, we developed a computational mechanistic multiscale model which considers heterogenous expression of CARs, NKRs, adhesion receptors and their cognate ligands, signal transduction, and NK cell-target cell population kinetics.

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Determining lead (Pb) concentrations in new paints using spectroscopic methods such as Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES) requires technical expertise, consumables, equipment for method preparation, and instrumentation that can be cost prohibitive and difficult to maintain in low and middle-income countries (LMICs). Although portable X-ray Fluorescence (pXRF) analyzers are less expensive and simple to operate, their inaccuracy has limited their use to screening for the analysis of Pb in new, dried paint. To determine the limits of pXRF analyzers, new paint samples were purchased, dried, homogenized, and analyzed pXRF and ICP-OES.

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The Targhee breed is important to range sheep production in the Western United States. The objective of this research was to integrate industry sires participating in national genetic evaluation through the National Sheep Improvement Program (NSIP) into the U.S.

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Article Synopsis
  • High-dimensional technologies like CyTOF imaging mass cytometry (IMC) analyze the spatial arrangement of cancer and immune cells in tumor samples before immunotherapy, providing insights into their organization in the tumor microenvironment (TME).
  • A new model developed using IMC data from melanoma patients undergoing ICI therapy reveals that the spatial relationships between activated CD8 T cells, macrophages, and melanoma cells significantly influence tumor growth and patient outcomes.
  • Key findings highlight that the initial spatial configuration of these immune cells predicts tumor progression, with features like the co-clustering of activated CD8 T cells and macrophages being critical, despite variations during treatment.
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