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Old and New Stories: Revelations from Functional Analysis of the Bovine Mammary Transcriptome during the Lactation Cycle

机译:新旧故事:泌乳周期中牛乳腺转录组功能分析的启示

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摘要

The cow mammary transcriptome was explored at −30, −15, 1, 15, 30, 60, 120, 240, and 300 d relative to parturition. A total of 6,382 differentially expressed genes (DEG) at a false discovery rate ≤0.001 were found throughout lactation. The greatest number of DEG (>3,500 DEG) was observed at 60 and 120 d vs. −30 d with the largest change between consecutive time points observed at −15 vs. 1 d and 120 vs. 240 d. Functional analysis of microarray data was performed using the Dynamic Impact Approach (DIA). The DIA analysis of KEGG pathways uncovered as the most impacted and induced ‘Galactose metabolism’, ‘Glycosylphosphatidylinositol (GPI)-anchor biosynthesis’, and ‘PPAR signaling’; whereas, ‘Antigen processing and presentation’ was among the most inhibited. The integrated interpretation of the results suggested an overall increase in metabolism during lactation, particularly synthesis of carbohydrates and lipid. A marked degree of utilization of amino acids as energy source, an increase of protein export, and a decrease of the protein synthesis machinery as well cell cycle also were suggested by the DIA analysis. The DIA analysis of Gene Ontology and other databases uncovered an induction of Golgi apparatus and angiogenesis, and the inhibition of both immune cell activity/migration and chromosome modifications during lactation. All of the highly-impacted and activated functions during lactation were evidently activated at the onset of lactation and inhibited when milk production declined. The overall analysis indicated that the bovine mammary gland relies heavily on a coordinated transcriptional regulation to begin and end lactation. The functional analysis using DIA underscored the importance of genes associated with lactose synthesis, lipid metabolism, protein synthesis, Golgi, transport, cell cycle/death, epigenetic regulation, angiogenesis, and immune function during lactation.
机译:相对于分娩,在-30,-15、1、15、15、30、60、120、240和300 d探索了牛的乳腺转录组。整个泌乳期共发现6,382个差​​异表达基因(DEG),错误发现率≤0.001。在60和120 d对-30 d观察到最大数量的DEG(> 3,500 DEG),在-15 vs. 1 d和120 vs. 240 d观察到的连续时间点之间的变化最大。使用动态影响方法(DIA)对微阵列数据进行功能分析。 DIA对KEGG途径的分析发现是最受影响和最诱导的“半乳糖代谢”,“糖基磷脂酰肌醇(GPI)-锚定生物合成”和“ PPAR信号传导”;而“抗原处理和呈递”受到的抑制最大。对结果的综合解释表明,泌乳期间新陈代谢的总体增加,尤其是碳水化合物和脂质的合成。 DIA分析还表明,氨基酸作为能源的利用程度显着,蛋白质输出增加,蛋白质合成机制以及细胞周期减少。对基因本体论和其他数据库的DIA分析发现了高尔基体的诱导和血管生成,以及在哺乳期间对免疫细胞活性/迁移和染色体修饰的抑制。在哺乳期开始时,所有受到高度影响和激活的功能均在哺乳期开始明显被激活,而在牛奶产量下降时则被抑制。总体分析表明,牛乳腺严重依赖于协调的转录调控来开始和结束泌乳。使用DIA进行的功能分析强调了与乳糖合成,脂质代谢,蛋白质合成,高尔基体,运输,细胞周期/死亡,表观遗传调控,血管生成和泌乳期间免疫功能相关的基因的重要性。

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