@article{labelle_zhang_hunsucker_armistead_allbritton_2022, title={Microraft arrays for serial-killer CD19 chimeric antigen receptor T cells and single cell isolation}, ISSN={["1552-4930"]}, DOI={10.1002/cyto.a.24678}, abstractNote={Abstract}, journal={CYTOMETRY PART A}, author={LaBelle, Cody A. and Zhang, Raymond J. and Hunsucker, Sally A. and Armistead, Paul M. and Allbritton, Nancy L.}, year={2022}, month={Aug} }
 @article{labelle_zhang_armistead_allbritton_2020, title={Assay and Isolation of Single Proliferating CD4+Lymphocytes Using an Automated Microraft Array Platform}, volume={67}, ISSN={["1558-2531"]}, DOI={10.1109/TBME.2019.2956081}, abstractNote={Objective: While T lymphocytes have been employed as a cancer immunotherapy, the development of effective and specific T-cell-based therapeutics remains challenging. A key obstacle is the difficulty in identifying T cells reactive to cancer-associated antigens. The objective of this research was to develop a versatile platform for single cell analysis and isolation that can be applied in immunology research and clinical therapy development. Methods: An automated microscopy and cell sorting system was developed to track the proliferative behavior of single-cell human primary CD4+ lymphocytes in response to stimulation using allogeneic lymphoblastoid feeder cells. Results: The system identified single human T lymphocytes with a sensitivity of 98% and specificity of 99% and possessed a cell collection efficiency of 86%. Time-lapse imaging simultaneously tracked 4,534 alloreactive T cells on a single array; 19% of the arrayed cells formed colonies of ≥2 cells. From the array, 130 clonal colonies were isolated and 7 grew to colony sizes of >10,000 cells, consistent with the known proliferative capacity of T cells in vitro and their tendency to become exhausted with prolonged stimulation. The isolated colonies underwent ELISA assay to detect interferon-γ secretion and Sanger sequencing to determine T cell receptor β sequences with a 100% success rate. Conclusion: The platform is capable of both identification and isolation of proliferative T cells in an automated manner. Significance: This novel technology enables the identification of TCR sequences based on T cell proliferation which is expected to speed the development of future cancer immunotherapies.}, number={8}, journal={IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING}, author={LaBelle, Cody A. and Zhang, Raymond J. and Armistead, Paul M. and Allbritton, Nancy L.}, year={2020}, pages={2166–2175} }
 @misc{labelle_massaro_cortes-llanos_sims_allbritton_2020, title={Image-Based Live Cell Sorting}, volume={39}, ISSN={["1879-3096"]}, DOI={10.1016/j.tibtech.2020.10.006}, abstractNote={Technologies capable of cell separation based on cell images provide powerful tools enabling cell selection criteria that rely on spatially or temporally varying properties. Image-based cell sorting (IBCS) systems utilize microfluidic or microarray platforms, each having unique characteristics and applications. The advent of IBCS marks a new paradigm in which cell phenotype and behavior can be explored with high resolution and tied to cellular physiological and omics data, providing a deeper understanding of single-cell physiology and the creation of cell lines with unique properties. Cell sorting guided by high-content image information has far-reaching implications in biomedical research, clinical medicine, and pharmaceutical development.}, number={6}, journal={TRENDS IN BIOTECHNOLOGY}, author={LaBelle, Cody A. and Massaro, Angelo and Cortes-Llanos, Belen and Sims, Christopher E. and Allbritton, Nancy L.}, year={2020}, month={Jun}, pages={613–623} }