Schmidt Joshua J, McIlwain Sean, Page David, Christie Andrew E, Li Lingjun
School of Pharmacy, University of Wisconsin, Madison, Wisconsin 53705, USA.
J Proteome Res. 2008 Mar;7(3):887-96. doi: 10.1021/pr070390p. Epub 2008 Jan 19.
Increasing research efforts in large-scale mass spectral analyses of peptides and proteins have led to many advances in technology and method development for collecting data and improving the quality of data. However, the resultant large data sets often pose significant challenges in extracting useful information in a high-throughput manner. Here, we describe one such method where we analyzed a large mass spectral data set collected using decapod crustacean nervous tissue extracts separated via high-performance liquid chromatography (HPLC) coupled to high-resolution matrix-assisted laser desorption/ionization Fourier transform mass spectrometry (MALDI-FTMS). Following their acquisition, the data collected from discrete LC fractions was compiled and analyzed using an in-house developed software package that deisotoped, compressed, calibrated, and matched peaks to a list of known crustacean neuropeptides. By processing these data via bioinformatics tools such as hierarchical clustering, more than 110 neuropeptides that belong to 14 peptide families were mapped in five crustacean species. Overall, we demonstrate the utility of MALDI-FTMS in combination with a bioinformatics software package for the elucidation and comparison of peptidomes of varying crustacean species. This study established an effective methodology and will provide the basis for future investigations into more comprehensive comparative peptidomics with larger collection of species and phyla in order to gain a deeper understanding of the evolution and diversification of peptide families.
对肽和蛋白质进行大规模质谱分析的研究工作不断增加,在数据收集技术和方法开发以及提高数据质量方面取得了许多进展。然而,由此产生的大量数据集在以高通量方式提取有用信息时往往带来重大挑战。在此,我们描述了一种这样的方法,即我们分析了一个大型质谱数据集,该数据集是使用通过高效液相色谱(HPLC)与高分辨率基质辅助激光解吸/电离傅里叶变换质谱(MALDI-FTMS)联用分离的十足目甲壳类动物神经组织提取物收集的。在获取数据后,将从离散液相色谱馏分收集的数据进行汇编,并使用自行开发的软件包进行分析,该软件包对峰进行去同位素、压缩、校准,并与已知甲壳类神经肽列表进行匹配。通过使用层次聚类等生物信息学工具处理这些数据,在五种甲壳类动物中绘制了属于14个肽家族的110多种神经肽。总体而言,我们证明了MALDI-FTMS与生物信息学软件包相结合在阐明和比较不同甲壳类物种肽组方面的实用性。本研究建立了一种有效的方法,并将为未来对更多物种和门类进行更全面的比较肽组学研究提供基础,以便更深入地了解肽家族的进化和多样化。