Chemonges Saul, Gupta Rajesh, Mills Paul C, Kopp Steven R, Sadowski Pawel
School of Veterinary Science, The University of Queensland, Gatton, Australia.
Proteomics and Small Molecule Mass Spectrometry, Central Analytical Research Facility, Queensland University of Technology, Brisbane, Australia.
Proteome Sci. 2017 Jun 10;15:11. doi: 10.1186/s12953-017-0119-z. eCollection 2016.
Unlike humans, there is currently no publicly available reference mass spectrometry-based circulating acellular proteome data for sheep, limiting the analysis and interpretation of a range of physiological changes and disease states. The objective of this study was to develop a robust and comprehensive method to characterise the circulating acellular proteome in ovine serum.
Serum samples from healthy sheep were subjected to shotgun proteomic analysis using nano liquid chromatography nano electrospray ionisation tandem mass spectrometry (nanoLC-nanoESI-MS/MS) on a quadrupole time-of-flight instrument (TripleTOF® 5600+, SCIEX). Proteins were identified using ProteinPilot™ (SCIEX) and Mascot (Matrix Science) software based on a minimum of two unmodified highly scoring unique peptides per protein at a false discovery rate (FDR) of 1% software by searching a subset of the Universal Protein Resource Knowledgebase (UniProtKB) database (http://www.uniprot.org). PeptideShaker (CompOmics, VIB-UGent) searches were used to validate protein identifications from ProteinPilot™ and Mascot.
ProteinPilot™ and Mascot identified 245 and 379 protein groups (IDs), respectively, and PeptideShaker validated 133 protein IDs from the entire dataset. Since Mascot software is considered the industry standard and identified the most proteins, these were analysed using the Protein ANalysis THrough Evolutionary Relationships (PANTHER) classification tool revealing the association of 349 genes with 127 protein pathway hits. These data are available via ProteomeXchange with identifier PXD004989.
These results demonstrated for the first time the feasibility of characterising the ovine circulating acellular proteome using nanoLC-nanoESI-MS/MS. This peptide spectral data contributes to a protein library that can be used to identify a wide range of proteins in ovine serum.
与人类不同,目前尚无公开可用的基于质谱的绵羊循环无细胞蛋白质组数据,这限制了对一系列生理变化和疾病状态的分析与解读。本研究的目的是开发一种强大且全面的方法来表征绵羊血清中的循环无细胞蛋白质组。
使用四极杆飞行时间仪器(TripleTOF® 5600 +,SCIEX)上的纳升液相色谱-纳升电喷雾电离串联质谱(nanoLC-nanoESI-MS/MS)对健康绵羊的血清样本进行鸟枪法蛋白质组分析。基于每个蛋白质至少两个未修饰的高分独特肽段,使用ProteinPilot™(SCIEX)和Mascot(Matrix Science)软件,通过搜索通用蛋白质资源知识库(UniProtKB)数据库(http://www.uniprot.org)的一个子集,在1%的错误发现率(FDR)软件下鉴定蛋白质。使用PeptideShaker(CompOmics,VIB-UGent)搜索来验证来自ProteinPilot™和Mascot的蛋白质鉴定结果。
ProteinPilot™和Mascot分别鉴定出245个和379个蛋白质组(ID),PeptideShaker从整个数据集中验证了133个蛋白质ID。由于Mascot软件被认为是行业标准且鉴定出的蛋白质最多,因此使用蛋白质进化关系分析(PANTHER)分类工具对这些蛋白质进行分析,揭示了349个基因与127个蛋白质通路命中的关联。这些数据可通过ProteomeXchange获得,标识符为PXD004989。
这些结果首次证明了使用nanoLC-nanoESI-MS/MS表征绵羊循环无细胞蛋白质组的可行性。该肽谱数据有助于建立一个蛋白质库,可用于鉴定绵羊血清中的多种蛋白质。