Bose Utpal, Broadbent James A, Juhász Angéla, Karnaneedi Shaymaviswanathan, Johnston Elecia B, Stockwell Sally, Byrne Keren, Limviphuvadh Vachiranee, Maurer-Stroh Sebastian, Lopata Andreas L, Colgrave Michelle L
CSIRO Agriculture and Food, 306 Carmody Rd, St Lucia, QLD 4067, Australia; Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, School of Science, Edith Cowan University, Joondalup, WA 6027, Australia.
CSIRO Agriculture and Food, 306 Carmody Rd, St Lucia, QLD 4067, Australia.
J Proteomics. 2022 Oct 30;269:104724. doi: 10.1016/j.jprot.2022.104724. Epub 2022 Sep 10.
Exploration of important insect proteins - including allergens - and proteomes can be limited by protein extraction buffer selection and the complexity of the proteome. Herein, LC-MS/MS-based proteomics experiments were used to assess the protein extraction efficiencies for a suite of extraction buffers and the effect of ingredient processing on proteome and allergen detection. Discovery proteomics revealed that SDS-based buffer yields the maximum number of protein groups from three types of BSF samples. Bioinformatic analysis revealed that buffer composition and ingredient processing could influence allergen detection. Upon applying multi-level filtering criteria, 33 putative allergens were detected by comparing the detected BSF proteins to sequences from public allergen protein databases. A targeted LC-MRM-MS assay was developed for the pan-allergen tropomyosin and used to assess the influence of buffer composition and ingredient processing using peptide abundance measurements. SIGNIFICANCE: We demonstrated that the selection of protein extraction buffer and the processing method could influence protein yield and cross-reactive allergen detection from processed and un-processed black soldier fly (BSF) samples. In total, 33 putative allergens were detected by comparing the detected BSF proteins to sequences from public allergen protein databases. An LC-MRM-MS assay was developed for tropomyosin, indicating the importance of buffer selection and processing conditions to reduce BSF samples' allergenicity.
对重要昆虫蛋白质(包括过敏原)和蛋白质组的探索可能会受到蛋白质提取缓冲液的选择以及蛋白质组复杂性的限制。在此,基于液相色谱-串联质谱(LC-MS/MS)的蛋白质组学实验被用于评估一系列提取缓冲液的蛋白质提取效率,以及成分处理对蛋白质组和过敏原检测的影响。发现蛋白质组学研究表明,基于十二烷基硫酸钠(SDS)的缓冲液从三种类型的黑水虻(BSF)样本中产生的蛋白质组数量最多。生物信息学分析表明,缓冲液组成和成分处理可能会影响过敏原检测。在应用多级过滤标准后,通过将检测到的黑水虻蛋白质与公共过敏原蛋白质数据库中的序列进行比较,检测到33种假定的过敏原。针对泛过敏原原肌球蛋白开发了一种靶向液相色谱-多反应监测-质谱(LC-MRM-MS)分析方法,并用于通过肽丰度测量来评估缓冲液组成和成分处理的影响。意义:我们证明了蛋白质提取缓冲液的选择和处理方法可能会影响处理过和未处理过的黑水虻(BSF)样本的蛋白质产量和交叉反应性过敏原检测。通过将检测到的黑水虻蛋白质与公共过敏原蛋白质数据库中的序列进行比较,总共检测到33种假定的过敏原。针对原肌球蛋白开发了一种LC-MRM-MS分析方法,表明缓冲液选择和处理条件对于降低黑水虻样本的致敏性很重要。