Short communication: Expression and alternative splicing of POU1F1 pathway genes in preimplantation bovine embryos

Short communication: Expression and alternative splicing of POU1F1 pathway genes in preimplantation bovine embryos
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DOI:
10.3168/jds.2011-4144
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发表时间:
2011-08-01
影响因子:
3.5
通讯作者:
Khatib, H.
Khatib, H.
中科院分区:
农林科学1区
文献类型:
--
作者:
Laporta, J.;Driver, A.;Khatib, H.

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早期胚胎丢失是奶牛不孕的主要原因,70%至80%的胚胎丢失发生在受精后第8天至第16天。然而,对正常和异常胚胎发育的分子机制和基因的性质知之甚少。此外,关于母鼠和胚胎的基因组对植入前胚胎的发育和存活的贡献的信息有限。我们假设发育中的胚胎中适当的基因表达水平对胚胎存活和妊娠成功至关重要。因此,早期胚胎中表达谱的表征可以更好地理解正常和异常胚胎发育所涉及的机制。为了验证这一假设,2 d-8胚胎群体(退化胚胎和囊胚),不同的形态和发育状态进行了调查。在退化胚胎和囊胚的4组生物复制池中估计POU 1F 1途径基因的表达水平。与囊胚相比,OPN和STAT 5A基因在退化胚胎中表达上调,而STAT 5 B在两个胚胎组中的表达水平相似。对OPN和STAT 5A剪接变体的分析揭示了与这些基因的总表达值不同的表达模式。因此,在基因表达研究中应考虑测量单个转录本的表达。
Early embryo loss is a major contributing factor to cow infertility and that 70 to 80% of this loss occurs between d 8 and 16 postfertilization. However, little is known about the molecular mechanisms and the nature of genes involved in normal and abnormal embryonic development. Moreover, information is limited on the contributions of the genomes of dams and of embryos to the development and survival of preimplantation embryos. We hypothesized that proper gene expression level in the developing embryo is essential for embryo survival and pregnancy success. As such, the characterization of expression profiles in early embryos could lead to a better understanding of the mechanisms involved in normal and abnormal embryo development. To test this hypothesis, 2 d-8 embryo populations (degenerate embryos and blastocysts) that differed in morphology and developmental status were investigated. Expression levels of POU1F1 pathway genes were estimated in 4 sets of biological replicate pools of degenerate embryos and blastocysts. The OPN and STAT5A genes were found to be upregulated in degenerate embryos compared with blastocysts, whereas STAT5B showed similar expression levels in both embryo groups. Analysis of splice variants of OPN and STAT5A revealed expression patterns different from the total expression values of these genes. As such, measuring expression of individual transcripts should be considered in gene expression studies.