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Quantification of natural killer cell polarization and visualization of synaptic granule externalization by imaging flow cytometry.
Viswanath, Dixita I; Mace, Emily M; Hsu, Hsiang-Ting; Orange, Jordan S.
Afiliação
  • Viswanath DI; Rice University, Houston, TX 77005, USA.
  • Mace EM; Center for Human Immunobiology, Texas Children's Hospital and Baylor College of Medicine, Houston, TX 77030, USA.
  • Hsu HT; Center for Human Immunobiology, Texas Children's Hospital and Baylor College of Medicine, Houston, TX 77030, USA.
  • Orange JS; Center for Human Immunobiology, Texas Children's Hospital and Baylor College of Medicine, Houston, TX 77030, USA.
Clin Immunol ; 177: 70-75, 2017 04.
Article em En | MEDLINE | ID: mdl-26948929
Defining immunological mechanisms underlying NK cell biology is crucial for the treatment and prevention of immune deficiency and malignancy. The limited availability of human biological specimens presents a challenge to the study of human immunobiology. The use of high throughput, multi-parametric assays will not only aid in the definition and diagnosis of complex human immune disorders affecting NK cell function but also advance NK cell biology through population-based assessment of molecular signaling. In an effort to garner the most information from limited numbers of human cells, we designed a quantitative method to study NK cell function using imaging flow cytometry (IFC), which combines multiparametric flow cytometry and fluorescence microscopy. Specifically, we developed IFC as a tool to measure polarization and secretion of lytic granules at the immunological synapse formed between an NK cell and a susceptible target. We have further validated our approach through quantitative comparison with high-resolution confocal microscopy. We show that IFC can be used as a quantitative, high throughput measure of NK cell biological function possessing greater dimensionality than standard flow cytometry.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article