Abdelmegid Shaimaa, Murugaiyan Jayaseelan, Abo-Ismail Mohamed, Caswell Jeff, Kelton David, Kirby Gordon
Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, Canada.
Freie Universität Berlin, Institute of Animal Hygiene and Environmental Health, Centre for Infectious Medicine, Berlin, Germany.
Data Brief. 2019 Jan 10;22:909-913. doi: 10.1016/j.dib.2019.01.013. eCollection 2019 Feb.
This dataset is associated with our research article 'Identification of host-defence related proteins using label-free quantitative proteomic analysis of milk whey from cows with Subclinical mastitis' published in International Journal of Molecular Sciences. Milk samples were collected from cows suffering from -associated subclinical mastitis and the proteins abundance were identified in comparison with samples collected from the control cows using liquid chromatography-mass spectrometry (LC-MS)-based label free proteomics analysis. Following the MS measurements, the raw spectra were processed using MaxQuant-Andromeda software and the protein identification was carried out through a search against Uniprot FASTA files of the reference proteome. Perseus software analysis was applied for computation of protein abundance. The raw file presented in this DiB was deposition at PRIDE repository in the PRIDE repository with the dataset identifier PXD007516.
该数据集与我们发表在《国际分子科学杂志》上的研究文章“利用基于液相色谱-质谱（LC-MS）的无标记蛋白质组学分析奶牛乳清中宿主防御相关蛋白质来鉴定亚临床乳腺炎”相关。从患有相关亚临床乳腺炎的奶牛身上采集牛奶样本，并使用基于液相色谱-质谱（LC-MS）的无标记蛋白质组学分析，与从对照奶牛采集的样本相比，鉴定蛋白质丰度。质谱测量后，使用MaxQuant-Andromeda软件处理原始光谱，并通过与参考蛋白质组的Uniprot FASTA文件进行比对来进行蛋白质鉴定。应用Perseus软件分析来计算蛋白质丰度。本数据集中呈现的原始文件已存于PRIDE数据库，数据集标识符为PXD007516。
