Ahuja Shreya, Lazar Iulia M
Department of Biological Sciences, Virgina Tech, USA.
Fralin Life Sciences Institute, Virgina Tech, USA.
Data Brief. 2023 Jul 20;49:109433. doi: 10.1016/j.dib.2023.109433. eCollection 2023 Aug.
The immunoprotective functions of microglia in the brain are mediated by the inflammatory M1 phenotype. This phenotype is challenged by anti-inflammatory cytokines which polarize the microglia cells to an immunosuppressive M2 phenotype, a trait that is often exploited by cancer cells to evade immune recognition and promote tumor growth. Investigating the molecular determinants of this behavior is crucial for advancing the understanding of the mechanisms that cancer cells use to escape immune attack. In this article, we describe liquid chromatography (LC)-mass spectrometry (MS)/proteomic data acquired with an EASY-nanoLC 1200-Q Exactive Orbitrap mass spectrometer that reflect the response of human microglia cells (HMC3) to stimulation with potential cancer-released anti-inflammatory cytokines known to be key players in promoting tumorigenesis in the brain (IL-4, IL-13, IL-10, TGFB and MCP-1). The MS files were processed with the Proteome Discoverer v.2.4 software package. The cell culture conditions, the sample preparation protocols, the MS acquisition parameters, and the data processing approach are described in detail. The RAW and processed MS files associated with this work were deposited in the PRIDE partner repository of the ProteomeXchange Consortium with the dataset identifiers PXD023163 and PXD023166, and the analyzed data in the Mendeley Data cloud-based repository with DOI 10.17632/fvhw2zwt5d.1. The biological interpretation of the data can be accessed in the research article "Systems-Level Proteomics Evaluation of Microglia Response to Tumor-Supportive Anti-inflammatory Cytokines" (Shreya Ahuja and Iulia M. Lazar, 2021 [1]). The proteome data described in this article will benefit researchers who are either interested in re-processing the data with alternative search engines and filtering criteria, and/or exploring the data in more depth to advance the understanding of cancer progression and the discovery of novel biomarkers or drug targets.
大脑中微胶质细胞的免疫保护功能由炎性M1表型介导。这种表型受到抗炎细胞因子的挑战，这些细胞因子会使微胶质细胞极化至免疫抑制性M2表型，而癌细胞常常利用这一特性逃避免疫识别并促进肿瘤生长。研究这种行为的分子决定因素对于深入理解癌细胞用于逃避免疫攻击的机制至关重要。在本文中，我们描述了使用EASY-nanoLC 1200-Q Exactive Orbitrap质谱仪获得的液相色谱（LC）-质谱（MS）/蛋白质组学数据，这些数据反映了人类微胶质细胞（HMC3）对已知在促进脑肿瘤发生中起关键作用的潜在癌症释放的抗炎细胞因子（IL-4、IL-13、IL-10、TGFB和MCP-1）刺激的反应。MS文件使用Proteome Discoverer v.2.4软件包进行处理。详细描述了细胞培养条件、样品制备方案、MS采集参数和数据处理方法。与这项工作相关的原始和处理后的MS文件已存入ProteomeXchange Consortium的PRIDE合作伙伴存储库，数据集标识符为PXD023163和PXD023166，分析数据存入基于Mendeley Data云的存储库，DOI为10.17632/fvhw2zwt5d.1。数据的生物学解释可在研究文章《微胶质细胞对肿瘤支持性抗炎细胞因子反应的系统水平蛋白质组学评估》（Shreya Ahuja和Iulia M. Lazar，2021 [1]）中获取。本文描述的蛋白质组数据将使那些有兴趣使用替代搜索引擎和筛选标准重新处理数据，和/或更深入探索数据以推进对癌症进展的理解以及发现新型生物标志物或药物靶点的研究人员受益。
