Paauw Armand, Levin Evgeni, Voskamp-Visser Ingrid A I, Marissen Ilka M F, Ramisse Vincent, Eschlimann Marine, Dresler Jiří, Pajer Petr, Stingl Christoph, van Leeuwen Hans C, Luider Theo M, Hornstra Luc M
Department of CBRN Protection, Netherlands Organization for Applied Scientific Research TNO, TNO, Rijswijk, the Netherlands.
HORAIZON Technology BV., Delft, the Netherlands.
Mol Cell Proteomics. 2025 Jul;24(7):101004. doi: 10.1016/j.mcpro.2025.101004. Epub 2025 May 29.
Humans can be infected by a wide variety of virus species. We developed a data analysis approach for shotgun proteomic data to detect these viruses. A proteome for pandemic preparedness (P4PP) pipeline, a corresponding database (P4PP v01), and a web application (P4PP) were constructed. The P4PP pipeline enables the identification of 1896 virus species from the 32 virus families, based on multiple identified discriminatory peptides, in which at least one human infectious virus is described. P4PP was evaluated using different datasets of cell-cultivated viruses, generated at different institutes, measured with different instruments, and prepared with different sample preparation methods. In total, 174 mass spectrometry datasets of 160 and 14 protein trypsin digests of virus-infected and noninfected cell lines were analyzed, respectively. Of the 160 samples, 146 were correctly identified at the species level, and an additional four samples were identified at the family level. In the remaining 10 samples, no virus was detected. However, all these 10 samples tested positive in follow-up samples obtained later in time series were negative samples were measured, indicating that the number of peptides derived from the virus was initially too low in the samples obtained at the start of the experiment. Furthermore, results show that influenza A or severe acute respiratory syndrome coronavirus 2 can be subtyped if enough discriminative peptides of the virus are identified. In the noninfected cell lines, no virus was detected except in one sample where the in that experiment studied virus was detected. Shotgun proteomics, in combination with the developed data analysis approach, can identify all types of virus species after cultivation in a cell line. Implementing this agnostic virus proteome analysis capability in viral diagnostic laboratories has the potential to improve their capabilities to cope with unexpected, mutated, or re-emerging viruses.
人类可被多种病毒感染。我们开发了一种用于鸟枪法蛋白质组学数据的数据分析方法来检测这些病毒。构建了一个用于大流行防范的蛋白质组(P4PP)流程、一个相应的数据库(P4PP v01)和一个网络应用程序(P4PP)。P4PP流程能够基于多个已鉴定的鉴别肽,从32个病毒科中鉴定出1896种病毒,其中至少描述了一种人类感染性病毒。使用在不同机构生成、用不同仪器测量且采用不同样品制备方法制备的不同细胞培养病毒数据集对P4PP进行了评估。总共分别分析了160个病毒感染细胞系和14个未感染细胞系的蛋白质胰蛋白酶消化产物的174个质谱数据集。在160个样本中,146个在种水平上被正确鉴定,另外4个样本在科水平上被鉴定。在其余10个样本中未检测到病毒。然而,所有这10个在后续时间序列中获得的样本检测为阳性的样本,最初测量时均为阴性样本,这表明在实验开始时获得的样本中源自病毒的肽数量最初过低。此外,结果表明,如果鉴定出足够的病毒鉴别肽,甲型流感病毒或严重急性呼吸综合征冠状病毒2可以进行亚型分类。在未感染的细胞系中,除了在一个样本中检测到该实验所研究的病毒外,未检测到其他病毒。鸟枪法蛋白质组学与所开发的数据分析方法相结合,能够在细胞系中培养后鉴定所有类型的病毒。在病毒诊断实验室中实施这种无偏见的病毒蛋白质组分析能力有可能提高其应对意外、突变或重新出现的病毒的能力。