Characterization of honeybee venom by MALDI-TOF and nanoESI-QqTOF mass spectrometry
Characterization of honeybee venom by MALDI-TOF and nanoESI-QqTOF mass spectrometry
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DOI：
10.1016/j.jpba.2010.08.020
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发表时间：
2011-01-25
影响因子：
3.4
通讯作者：
Kokot, Zenon J.
中科院分区：
文献类型：
--
作者：
Matysiak, Jan;Schmelzer, Christian E. H.;Kokot, Zenon J.
该研究的目的是全面表征不同的蜂毒样品采用两种互补的质谱方法。41个不同蜜蜂品系的蜂毒样本，原产国（波兰。格鲁吉亚和爱沙尼亚）、蜂毒采集的年份和季节进行了分析。使用MALDI-TOF和nanoESI-QqTOF-MS方法可以获得所选蜂毒样品中12种不同组分的半定量数据，而无需进一步复杂和耗时的样品预处理。统计分析（方差分析I）表明，在不同年份收集的蜂毒样品之间的成分存在定性和定量差异。MALDI-TOF光谱可作为蜂毒的“蛋白质指纹图谱”，用于蜂毒的鉴定，NanoESI-QqTOF-MS尤其适用于蜂毒的鉴定。使用该技术鉴定了16个肽序列，包括蜂毒肽（12种不同的分解产物和前体）、阿帕胺、肥大细胞脱粒肽和secapin。此外，本研究的重要成果是首次在蜂毒中发现了新的多肽（HTGAVLAGV + Amidatecl（C-term），M-r = 822.53 Da）。(C)2010 Elsevier B. V.保留所有权利。
The aim of the study was to comprehensively characterize different honeybee venom samples applying two complementary mass spectrometry methods. 41 honeybee venom samples of different bee strains, country of origin (Poland. Georgia, and Estonia), year and season of the venom collection were analyzed using MALDI-TOF and nanoESI-QqTOF-MS.It was possible to obtain semi-quantitative data for 12 different components in selected honeybee venom samples using MALDI-TOF method without further sophisticated and time consuming sample pretreatment. Statistical analysis (ANOVA I has shown that there are qualitative and quantitative differences in the composition between honeybee venom samples collected over different years. It has also been demonstrated that MALDI-TOF spectra can be used as a "protein fingerprint" of honeybee venom in order to confirm the identity of the product.NanoESI-QqTOF-MS was applied especially for identification purposes. Using this technique 16 peptide sequences were identified, including melittin (12 different breakdown products and precursors), apamine, mast cell degranulating peptide and secapin. Moreover, the significant achievement of this study is the fact that the new peptide (HTGAVLAGV + Amidatecl (C-term), M-r = 822.53 Da) has been discovered in bee venom for the first time. (C) 2010 Elsevier B.V. All rights reserved.