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Comparative Proteomic Profiling of Divergent Phenotypes for Water Holding Capacity across the Post Mortem Ageing Period in Porcine Muscle Exudate

机译:猪肌肉渗出液后老化阶段不同持水能力表型的比较蛋白质组学分析

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摘要

Two dimensional Difference Gel Electrophoresis (2-D DIGE) and mass spectrometry were applied to investigate the changes in metabolic proteins that occur over a seven day (day 1, 3 and 7) post mortem ageing period in porcine centrifugal exudate from divergent meat quality phenotypes. The objectives of the research were to enhance our understanding of the phenotype (water holding capacity) and search for biomarkers of this economically significant pork quality attribute. Major changes in protein abundance across nine phenotype-by-time conditions were observed. Proteomic patterns were dominated by post mortem ageing timepoint. Using a machine learning algorithm (l1-regularized logistic regression), a model was derived with the ability to discriminate between high drip and low drip phenotypes using a subset of 25 proteins with an accuracy of 63%. Models discriminating between divergent phenotypes with accuracy of 72% and 73% were also derived comparing respectively, high drip plus intermediate phenotype (considered as one phenotype) versus low drip and comparing low drip plus intermediate phenotype (considered as one phenotype) versus high drip. In all comparisons, the general classes of discriminatory proteins identified include metabolic enzymes, stress response, transport and structural proteins. In this research we have enhanced our understanding of the protein related processes underpinning this phenotype and provided strong data to work toward development of protein biomarkers for water holding capacity.
机译:应用二维差异凝胶电泳(2-D DIGE)和质谱法研究猪离心流出液中不同肉质表型在宰后老化期7天(第1、3和7天)中代谢蛋白质的变化。研究的目的是增强我们对表型(持水量)的理解,并寻找具有经济意义的猪肉品质属性的生物标记。观察到在九种表型条件下蛋白质丰度的主要变化。蛋白质组学模式主要由验尸老化时间点决定。使用机器学习算法(1-1规则对数回归),得出了一个模型,该模型能够使用25种蛋白质的子集区分高滴漏表型和低滴漏表型,准确度为63%。分别比较高滴度+中度表型(被视为一种表型)与低滴度,以及将低滴度+中度表型(被视为一种表型)与高滴度进行比较,分别得出区分表型的模型,其准确度分别为72%和73%。在所有比较中,鉴定出的区分蛋白的一般类别包括代谢酶,应激反应,转运蛋白和结构蛋白。在这项研究中,我们加深了对支持该表型的蛋白质相关过程的理解,并提供了强有力的数据来致力于发展蛋白质生物标记物的持水能力。

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