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Multivariate evaluation of 1-dimensional sarcoplasmic protein profile patterns of turkey breast muscle during early post-hatch development.

机译:孵化后早期火鸡胸肌的一维肌浆蛋白谱模式的多变量评估。

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Proteins are the main participants in metabolic pathways. However, the analysis of protein abundance patterns associated with those pathways is complicated by the large number of proteins involved. In this study, the objective was to present the application of principal component analysis (PCA) to permit the visualization of developmental proteomic patterns of sarcoplasmic proteins found in breast muscle. Different turkey genotypes and nutritional regimens were used to potentially increase the variability within the sarcoplasmic protein profile. Sarcoplasmic protein fractions from turkey breast muscle samples were collected at 6 ages between 7 to 24 d. Breast muscle samples were collected from 2 distinctly different turkey lines. The poults within each line were either ad libitum or restrict fed. Proteomic PCA plots showed a visual developmental pattern from 7 until 17 d. Multivariate ANOVA highlighted the effect of time point and feeding regimen among profile patterns. The use of different genotypes and feeding regimens influenced variability, which was measured by mean Euclidean distances and ellipses of the PCA plots. These treatment effects, however, did not mask the developmental patterns. After 17 d, the proteomic patterns converged, suggesting that a level of biological stability was achieved regardless of the genotype or treatment. The developmental pattern obtained by the PCA methodology can aid in the planning of more efficient experimental designs so the developmental stage of individuals can be more accurately assessed.Digital Object Identifier http://dx.doi.org/10.3382/ps.2011-01376
机译:蛋白质是代谢途径的主要参与者。但是,与这些途径相关的蛋白质丰度模式的分析由于涉及大量蛋白质而变得复杂。在这项研究中,目的是介绍主成分分析(PCA)的应用,以可视化在乳腺肌中发现的肌浆蛋白的蛋白质组学发育模式。不同的火鸡基因型和营养方案被用来潜在地增加肌浆蛋白谱内的变异性。在7至24 d的6个年龄中,从火鸡胸肌样品中收集肌浆蛋白级分。从2个明显不同的火鸡系中收集了乳房肌肉样品。每行中的家禽可以随意喂养或限制喂养。蛋白质组学PCA图显示了从7到17 d的视觉发育模式。多元方差分析强调了时间点和饲喂方式对轮廓模式的影响。使用不同的基因型和喂养方式会影响变异性,这是通过平均欧氏距离和PCA图的椭圆形来衡量的。然而,这些治疗效果并未掩盖其发展模式。 17 d后,蛋白质组学模式趋同,表明无论基因型还是治疗方法,均达到了一定的生物学稳定性。通过PCA方法获得的发展模式可以帮助规划更有效的实验设计,因此可以更准确地评估个体的发展阶段。数字对象标识符http://dx.doi.org/10.3382/ps.2011-01376

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