OMIP-107：用于表征和量化猪淋巴细胞亚群和单核细胞的 8 色全血免疫分型板

IF 2.5 4区生物学 Q3 BIOCHEMICAL RESEARCH METHODS

Cytometry Part A Pub Date : 2024-09-13 DOI:10.1002/cyto.a.24897

Riccardo Arrigucci, Abby Patterson, Peter Dube

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引用次数: 0

摘要

我们开发这种全血免疫分型板的目的是监测和量化猪的主要淋巴细胞亚群（CD4+、CD8+、CD4+CD8+ αβ T 细胞、γδ-T 细胞、B 细胞和 NK 细胞）和单核细胞。该小组使用市场上可买到的试剂，避免了二抗染色或内部抗体连接，目的是使该检测方法在各实验室之间易于使用且具有可重复性。该检测方法准确、可靠，是药理学和毒理学领域对猪进行免疫监测的有用工具，也可用于监测对疫苗接种和疾病反应的免疫状态。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

OMIP-107: 8-color whole blood immunophenotyping panel for the characterization and quantification of lymphocyte subsets and monocytes in swine

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OMIP-107: 8-color whole blood immunophenotyping panel for the characterization and quantification of lymphocyte subsets and monocytes in swine

We developed this whole blood immunophenotyping panel with the aim to monitor and quantify major lymphocyte subsets (CD4⁺, CD8⁺, CD4⁺CD8⁺ αβ T cells, γδ-T cells, B and NK cells) and monocytes in pigs. The panel involved the use of commercially available reagents, avoiding secondary antibody staining or in-house antibody conjugations, with the aim to make the assay accessible and reproducible across laboratories. The assay is accurate, robust and represents a useful tool for immune monitoring of swine in the pharmacology and toxicology fields, or to monitor the immune status in response to vaccination and diseases.

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来源期刊

Cytometry Part A 生物-生化研究方法

CiteScore

8.10

自引率

13.50%

发文量

183

审稿时长

4-8 weeks

期刊介绍： Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques. The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome: Biomedical Instrumentation Engineering Biophotonics Bioinformatics Cell Biology Computational Biology Data Science Immunology Parasitology Microbiology Neuroscience Cancer Stem Cells Tissue Regeneration.