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使用双色微阵列平台对体内产生的牛植入前胚胎进行转录组分析。

Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform.

作者信息

Salehi Reza, Tsoi Stephen C M, Colazo Marcos G, Ambrose Divakar J, Robert Claude, Dyck Michael K

机构信息

Department of Agricultural, Food and Nutritional Science, University of Alberta.

Livestock Research Branch, Alberta Agriculture and Forestry.

出版信息

J Vis Exp. 2017 Jan 30(119):53754. doi: 10.3791/53754.

DOI:10.3791/53754
PMID:28190024
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5352306/
Abstract

Early embryonic loss is a large contributor to infertility in cattle. Moreover, bovine becomes an interesting model to study human preimplantation embryo development due to their similar developmental process. Although genetic factors are known to affect early embryonic development, the discovery of such factors has been a serious challenge. Microarray technology allows quantitative measurement and gene expression profiling of transcript levels on a genome-wide basis. One of the main decisions that have to be made when planning a microarray experiment is whether to use a one- or two-color approach. Two-color design increases technical replication, minimizes variability, improves sensitivity and accuracy as well as allows having loop designs, defining the common reference samples. Although microarray is a powerful biological tool, there are potential pitfalls that can attenuate its power. Hence, in this technical paper we demonstrate an optimized protocol for RNA extraction, amplification, labeling, hybridization of the labeled amplified RNA to the array, array scanning and data analysis using the two-color analysis strategy.

摘要

早期胚胎损失是导致牛不育的一个重要因素。此外,由于牛的发育过程与人类相似,它成为研究人类植入前胚胎发育的一个有趣模型。尽管已知遗传因素会影响早期胚胎发育,但发现这些因素一直是一项严峻挑战。微阵列技术允许在全基因组范围内对转录水平进行定量测量和基因表达谱分析。在规划微阵列实验时必须做出的主要决策之一是使用单色还是双色方法。双色设计增加了技术重复,最小化了变异性,提高了灵敏度和准确性,还允许进行循环设计,定义共同参考样本。尽管微阵列是一种强大的生物学工具,但也存在一些可能削弱其功效的潜在陷阱。因此,在本技术论文中,我们展示了一种优化方案,该方案涉及RNA提取、扩增、标记、将标记的扩增RNA与阵列杂交、阵列扫描以及使用双色分析策略进行数据分析。

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引用本文的文献

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Sci Rep. 2019 Feb 27;9(1):2853. doi: 10.1038/s41598-019-39111-7.

本文引用的文献

1
Studying bovine early embryo transcriptome by microarray.
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2
Large-scale gene function analysis with the PANTHER classification system.大规模基因功能分析与 PANTHER 分类系统。
Nat Protoc. 2013 Aug;8(8):1551-66. doi: 10.1038/nprot.2013.092. Epub 2013 Jul 18.
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Development of a porcine (Sus scofa) embryo-specific microarray: array annotation and validation.猪(Sus scofa)胚胎特异性微阵列的开发:基因注释和验证。
BMC Genomics. 2012 Aug 3;13:370. doi: 10.1186/1471-2164-13-370.
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Fertility in dairy cows: bridging the gaps.
Animal. 2008 Aug;2(8):1101-3. doi: 10.1017/S1751731108002693.
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Combining resources to obtain a comprehensive survey of the bovine embryo transcriptome through deep sequencing and microarrays.通过深度测序和微阵列技术整合资源,对牛胚胎转录组进行全面调查。
Mol Reprod Dev. 2011 Sep;78(9):651-64. doi: 10.1002/mrd.21364. Epub 2011 Aug 2.
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A wholly defined Agilent microarray spike-in dataset.安捷伦全定义微阵列 Spike-in 数据集。
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Providing a stable methodological basis for comparing transcript abundance of developing embryos using microarrays.为使用微阵列比较发育胚胎的转录物丰度提供稳定的方法学基础。
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Revealing the bovine embryo transcript profiles during early in vivo embryonic development.揭示牛胚胎在体内早期胚胎发育过程中的转录谱。
Reproduction. 2009 Jul;138(1):95-105. doi: 10.1530/REP-08-0533. Epub 2009 Apr 21.
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The dynamics of gene products fluctuation during bovine pre-hatching development.牛胚胎孵化前发育过程中基因产物波动的动态变化
Mol Reprod Dev. 2009 Aug;76(8):762-72. doi: 10.1002/mrd.21030.