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经典和非经典单核细胞亚群的深度蛋白质组学表征

In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets.

作者信息

Segura Víctor, Valero M Luz, Cantero Laura, Muñoz Javier, Zarzuela Eduardo, García Fernando, Aloria Kerman, Beaskoetxea Javier, Arizmendi Jesús M, Navajas Rosana, Paradela Alberto, Díez Paula, Dégano Rosa Mª, Fuentes Manuel, Orfao Alberto, Montero Andrés García, Garin-Muga Alba, Corrales Fernando J, Pino Manuel M Sánchez Del

机构信息

Proteomics, Genomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra, Pamplona 31008, Spain.

Proteomics Unit; Central Service for Experimental Research (SCSIE), University of Valencia. Dr Moliner 50, 46100 Burjassot, Spain.

出版信息

Proteomes. 2018 Feb 5;6(1):8. doi: 10.3390/proteomes6010008.

Abstract

Monocytes are bone marrow-derived leukocytes that are part of the innate immune system. Monocytes are divided into three subsets: classical, intermediate and non-classical, which can be differentiated by their expression of some surface antigens, mainly CD14 and CD16. These cells are key players in the inflammation process underlying the mechanism of many diseases. Thus, the molecular characterization of these cells may provide very useful information for understanding their biology in health and disease. We performed a multicentric proteomic study with pure classical and non-classical populations derived from 12 healthy donors. The robust workflow used provided reproducible results among the five participating laboratories. Over 5000 proteins were identified, and about half of them were quantified using a spectral counting approach. The results represent the protein abundance catalogue of pure classical and enriched non-classical blood peripheral monocytes, and could serve as a reference dataset of the healthy population. The functional analysis of the differences between cell subsets supports the consensus roles assigned to human monocytes.

摘要

单核细胞是源自骨髓的白细胞,是固有免疫系统的一部分。单核细胞分为三个亚群:经典型、中间型和非经典型,可通过它们对某些表面抗原(主要是CD14和CD16)的表达来区分。这些细胞是许多疾病机制所涉及的炎症过程中的关键参与者。因此,这些细胞的分子特征可能为理解它们在健康和疾病中的生物学特性提供非常有用的信息。我们对来自12名健康供体的纯经典型和非经典型群体进行了一项多中心蛋白质组学研究。所使用的稳健工作流程在五个参与实验室中提供了可重复的结果。鉴定出了5000多种蛋白质,其中约一半使用光谱计数法进行了定量。这些结果代表了纯经典型和富集的非经典型血液外周单核细胞的蛋白质丰度目录,可作为健康人群的参考数据集。对细胞亚群之间差异的功能分析支持了赋予人类单核细胞的公认作用。

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