哺乳期和随机循环小鼠下丘脑大中枢神经系统区域的基因阵列分析

Stephen C. Gammie , Nina S. Hasen , Tarif A. Awad , Anthony P. Auger , Heather M. Jessen , Jules B. Panksepp , Anne M. Bronikowski
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引用次数: 25

摘要

在成年哺乳动物中,神经元和生理可塑性的一个戏剧性例子发生在从非母性到母性哺乳期的转变过程中。在这项研究中,我们比较了哺乳期(L)(产后第7天)和随机循环的未交配(V)远交种小鼠之间CNS中涉及母性行为的大连续区域(下丘脑、视前区和伏隔核)内的基因表达。使用代表11,904个基因的高密度寡核苷酸阵列,使用两种统计算法来识别基因表达的显著差异:鲁棒多阵列(robust multiarray, P <0.001) (n = 92个基因)和使用10%错误发现率(n = 114个基因)的微阵列显著性分析。使用这两种技术鉴定了27个常见基因。选择一个基因子集(n = 5)并通过实时PCR检测。我们的发现与之前发表的研究结果一致。例如,L小鼠神经肽Y (NPY)和proenkephalin升高,而POMC降低。L小鼠中NPY Y2受体和polo样激酶水平的升高和内皮素受体b型水平的降低是以前未发现的新基因表达变化的例子。表达差异发生在广泛的类别中。总之,我们的发现为可能支持母亲行为的基因表达变化提供了可能的新材料。讨论了使用阵列对大中枢神经系统区域进行采样的优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gene array profiling of large hypothalamic CNS regions in lactating and randomly cycling virgin mice

A dramatic example of neuronal and physiological plasticity in adult mammals occurs during the transition from a non-maternal to a maternal, lactating state. In this study, we compared gene expression within a large continuous region of the CNS involved in maternal behaviors (hypothalamus, preoptic regions, and nucleus accumbens) between lactating (L) (postpartum Day 7) and randomly cycling virgin (V) outbred mice. Using high-density oligonucleotide arrays representing 11,904 genes, two statistical algorithms were used to identify significant differences in gene expression: robust multiarray (P < 0.001) (n = 92 genes) and significance analysis of microarrays using a 10% false discover rate (n = 114 genes). 27 common genes were identified as significant using both techniques. A subset of genes (n = 5) were selected and examined by real-time PCR. Our findings were consistent with previous published work. For example, neuropeptide Y (NPY) and proenkephalin were elevated in L mice, whereas POMC was decreased. Increased levels of NPY Y2 receptor and polo-like kinase and decreased levels of endothelin receptor type b in L mice are examples of novel gene expression changes not previously identified. Expression differences occurred in broad classes. Together, our findings provide possible new material on gene expression changes that may support maternal behaviors. The advantages and drawbacks of sampling large CNS regions using arrays are discussed.

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