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实施液质联用技术对实体瘤患者进行免疫分析。

Implementation of Mass Cytometry for Immunoprofiling of Patients with Solid Tumors.

机构信息

Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Průmyslová 595, 25250 Vestec, Czech Republic.

CLIP-Childhood Leukaemia Investigation Prague, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University and Motol University Hospital, V Úvalu 84, 15006 Prague 5, Czech Republic.

出版信息

J Immunol Res. 2019 Feb 11;2019:6705949. doi: 10.1155/2019/6705949. eCollection 2019.

Abstract

Monitoring immune responses to solid cancers may be a better prognostic tool than conventional staging criteria, and it can also serve as an important criterion for the selection of individualized therapy. Multiparametric phenotyping by mass cytometry extended possibilities for immunoprofiling. However, careful optimization of each step of such method is necessary for obtaining reliable results. Also, with respect to procedure length and costs, sample preparation, staining, and storage should be optimized. Here, we designed a panel of 31 antibodies which allows for identification of several subpopulations of lymphoid and myeloid cells in a solid tumor and peripheral blood simultaneously. For sample preparation, disaggregation of tumor tissue with two different collagenases combined with DNase I was compared, and removal of dead or tumor cells by magnetic separation was evaluated. Two possible procedures of barcoding for single-tube staining of several samples were examined. While the palladium-based barcoding affected the stability of several antigens, the staining with two differently labeled CD45 antibodies was suitable for cells isolated from a patient's blood and tumor. The storage of samples in the intercalation solution for up to two weeks did not influence results of the analysis, which allowed the measurement of samples collected within this interval on the same day. This procedure optimized on samples from patients with head and neck squamous cell carcinoma enabled identification of various immune cells including rare subpopulations.

摘要

监测实体瘤的免疫反应可能是比传统分期标准更好的预后工具,也可以作为选择个体化治疗的重要标准。通过质谱流式细胞术进行的多参数表型分析扩展了免疫分析的可能性。然而,为了获得可靠的结果,有必要仔细优化这种方法的每一步。此外,就程序长度和成本而言,应优化样本制备、染色和储存。在这里,我们设计了一个 31 种抗体的组合,可以同时识别实体瘤和外周血中的几种淋巴和髓样细胞亚群。在样本制备方面,我们比较了两种不同胶原酶与 DNA 酶 I 联合对肿瘤组织的离散作用,以及通过磁分离去除死细胞或肿瘤细胞的效果。我们还研究了两种用于多个样本单管染色的条形码方案。钯基条形码会影响几种抗原的稳定性,而用两种不同标记的 CD45 抗体染色则适合于从患者血液和肿瘤中分离出来的细胞。在插入液中储存样本长达两周不会影响分析结果,这使得可以在同一天测量在此间隔内收集的样本。这种在头颈部鳞状细胞癌患者样本上优化的程序能够识别各种免疫细胞,包括罕见的亚群。

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