Summary

转录组分析]<em>活体</em>生产牛胚胎植入前胚胎采用双色微阵列平台

Published: January 30, 2017
doi:

Summary

Microarray technology allows quantitative measurement and gene expression profiling of transcripts on a genome-wide basis. Therefore, this protocol provides an optimized technical procedure in a two-color custom made bovine array using Day 7 bovine embryos to demonstrate the feasibility of using low amount of total RNA.

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.

Introduction

在高产奶牛胚胎早期损耗是在乳品行业1,2的主要挑战之一。牛已经成为一个有趣的模型来研究人类早期胚胎发育,由于其相似的发展过程3,4。然而,需要更多的研究来有关于涉及牛胚胎早期发育的基因更好的理解。

后由于第一微阵列技术二十年1995年5开发的,更为复杂的探测器制造工艺降低打印错误和内和不同微阵列平台6之间的阵列芯片可变性的发展。改进的微阵列技术导致了在临床研究7和广泛应用这种技术最近,在早期胚胎quality评估8。

大量的芯片技术所需的材料也就是为什么微阵列技术最初未能进入的一些研究领域,如早期胚胎发育的主要原因。最近,RNA扩增方法已得到改进,线性放大RNA为从起始原料RNA 9个子纳克微克的水平。目前市场上可用的几个商业RNA扩增试剂盒;然而,更多的受欢迎发达试剂盒相关的核糖单引物等温扩增10和T7启动子驱动的11种方法。最流行的反义RNA扩增的体外转录采用用寡dT引物在5'端12连结到一个T7启动子。该技术允许保持了最具代表性的反义转录物的线性扩增后˚F或阵列杂交13。该方法已适于放大来自牛胚胎8提取的总RNA皮克水平。

万向联动系统(ULS)是直接结合的DNA或扩增的RNA与铂联荧光色素或者花青547或花青647,通过形成于鸟嘌呤14的N7位置的配位键的标记方法。该方法适于在胚胎的研究,以产生更稳定的相比改性酶法15产生的aRNA的氨基烯丙基扩增的aRNA无需修改。单染料和两种染料标记方法已经在芯片使用通用联动系统调整。一个大型芯片的比较研究是有数据质量的一个和两个彩色阵列平台6之间的良好的相关性。

近来,T7启动子驱动Ñ反义RNA扩增和ULS标记方法已被开发,以提供更可靠的协议来产生标记的aRNA材料用于微阵列杂交8,16的高品质的足够量。因此,这项研究提供了一个协议来演示一些从RNA提取使用7天牛胚胎作为一个例子涉及双色微阵列数据分析的重要步骤。

Protocol

这项研究的动物部分在阿尔伯塔省埃德蒙顿,加拿大大学的代谢研究单位进行,由亚伯达省动物护理和使用委员会大学所有的动物实验程序批准(协议#AUP00000131),和动物的照顾根据以动物保健指南加拿大委员会(1993年)。 1.胚胎生产,总RNA和DNA酶处理的分离对于动物实验方案和胚胎收集参阅在我们以前的出版物17 和 18。 池和捕?…

Representative Results

从第7天的牛胚胎的总RNA和扩增的aRNA的代表性结果示于图3和表1中总结。 RNA的完整性和轮廓可以提取RNA后进行评估。 RNA的质量评估可以通过生物分析仪( 图3A),并只与RIN值的那些样本高于7.0有资格被用于扩增( 表1)来完成。 ?…

Discussion

第一个问题使用7天的牛胚胎是没有得到足够数量的高质量RNA是研究基因表达进行微阵列分析。不推荐用于第7天的胚胎传统苯酚/氯仿RNA提取和乙醇沉淀法,导致低产量以及可能剩苯酚抑制RNA扩增反应。相反,一个标准的基于列的方法是更好地隔离总RNA,然后洗脱以最小的洗脱缓冲液,以增加浓度的RNA。在目前的研究是利用相同的方法学26,目前所使用的相同的RNA提取试剂盒<sup cla…

Divulgations

The authors have nothing to disclose.

Acknowledgements

Research supported by Alberta Livestock and Meat Agency, Alberta Innovates – BioSolutions, Alberta Milk, and Livestock Research Branch, Alberta Agriculture and Forestry.

Materials

PicoPure RNA Isolation Kit Applied Biosystems KIT0204
RNase-Free DNase Set (50) Qiagen 79254
Agilent RNA 6000 Pico Kit Agilent Technologies 5067-1513
Arcturus RiboAmp HS PLUS Kit Applied Biosystems KIT0505
2100 Bioanalyzer Instruments Agilent Technologies G2940CA
RNA Screen Tape Agilent Technologies 5067-5576
ULS Fluorescent Labeling Kit Kreatech Diagnostics EA-021
Custom Gene Expression Microarrays Agilent Technologies G2514F
 Agilent Gene Expression wash buffer 1 Agilent Technologies Part #5188-5325
Agilent Gene Expression wash buffer 2 Agilent Technologies Part #5188-5326
2X Hi-RPM Hybridization buffer Agilent Technologies  Part #5190-0403
25X Fragment buffer Agilent Technologies Part #5185-5974
10X GE Blocking Agent Agilent Technologies Part #5188-5281
Stabilization and drying solution Agilent Technologies  Part #5185-5979
Gasket slides enabled by Agilent SureHyb techonolgy Agilent Technologies G2524-60012 Pack of 20 gasket slides, 4 microarrays/slide
Two-Color RNA Spike-In Kit Agilent Technologies  Cat# 5188-5279
GenePix 4000B array scanner Molecular Devices GENEPIX 4000B-U
Ozone Free Box BioTray OFB_100x200
GAL file Agilent Technologies

References

  1. Royal, M. D., Smith, R. F., Friggens, N. C. Fertility in dairy cows: bridging the gaps. Animal. 2 (08), 1101-1103 (2008).
  2. Diskin, M. G., Murphy, J. J., Sreenan, J. M. Embryo survival in dairy cows managed under pastoral conditions. Anim. Reprod. Sci. 96 (3-4), 297-311 (2006).
  3. Wrenzycki, C., et al. Effects of culture system and protein supplementation on mRNA expression in pre-implantation bovine embryos. Hum. Reprod. 16 (5), 893-901 (2001).
  4. Menezo, Y. J., Herubel, F. Mouse and bovine models for human IVF. Reprod. Biomed. Online. 4 (2), 170-175 (2002).
  5. Schena, M., Shalon, D., Davis, R. W., Brown, P. O. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science. 270 (5235), 467-470 (1995).
  6. Patterson, T. A., et al. Performance comparison of one-color and two-color platforms within the MicroArray Quality Control (MAQC) project. Nat. Biotechnol. 24 (9), 1140-1150 (2006).
  7. Rhodes, D. R., Chinnaiyan, A. M. Integrative analysis of the cancer transcriptome. Nat. Genetics. 37, 31-37 (2005).
  8. Robert, C., et al. Combining resources to obtain a comprehensive survey of the bovine embryo transcriptome through deep sequencing and microarrays. Mol. Reprod. Dev. 78 (9), 651-664 (2011).
  9. Nygaard, V., Hovig, E. Options available for profiling small samples: a review of sample amplification technology when combined with microarray profiling. Nucleic Acids Res. 34 (3), 996-1014 (2006).
  10. Kurn, N., Chen, P., Heath, J. D., Kopf-Sill, A., Stephens, K. M., Wang, S. Novel isothermal, linear nucleic acid amplification systems for highly multiplexed applications. Clin Chem. 51 (10), 1973-1981 (2005).
  11. Van Gelder, R. N., von Zastrow, M. E., Yool, A., Dement, W. C., Barchas, J. D., Eberwine, J. H. Amplified RNA synthesized from limited quantities of heterogeneous cDNA. Proc. Natl. Acad. Sci. 87 (5), 1663-1667 (1990).
  12. Phillips, J., Eberwine, J. H. Antisense RNA Amplification: A linear amplification method for analyzing the mRNA population from single living cells. Methods. 10 (3), 283-288 (1996).
  13. Gilbert, I., Scantland, S., Dufort, I., Gordynska, O., Labbe, A., Sirard, M. A., Robert, C. Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation. Nucleic Acids Res. 37 (8), 65 (2009).
  14. Gijlswijk, R. P., Talman, E. G., Jansse, P. J., Snoeijers, S. S., Killian, J., Tanke, H. J., Heetebrij, R. J. Universal Linkage System: versatile nucleic acid labeling technique. Expert Re. Mol. Diagn. 1 (1), 81-91 (2001).
  15. Gilbert, I., Scantland, S., Sylvestre, E. L., Dufort, I., Sirard, M. A., Robert, C. Providing a stable methodological basis for comparing transcript abundance of developing embryos using microarrays. Mol. Hum. Reprod. 16 (8), 601-616 (2010).
  16. Tsoi, S., et al. Development of a porcine (Sus scofa) embryo-specific microarray: array annotation and validation. BMC Genomics. 13, 370 (2012).
  17. Salehi, R., et al. Superovulatory response and embryo production in Holstein cows fed diets enriched in oleic, linoleic or α-linolenic acid. Reprod. Fertil. Dev. 26 (1), 218-218 (2013).
  18. Thangavelu, G., Colazo, M. G., Ambrose, D. J., Oba, M., Okine, E. K., Dyck, M. K. Diets enriched in unsaturated fatty acids enhance early embryonic development in lactating Holstein cows. Theriogenology. 68 (7), 949-957 (2007).
  19. . Agilent 2100 Bioanalyzer User’s Guide Available from: https://www.agilent.com/cs/library/usermanuals/Public/G2946-90004_Vespucci_UG_eBook_(NoSecPack) (2016)
  20. Kerr, K. F. Extended analysis of benchmark datasets for Agilent two-color microarray. BMC Bioinformatics. 8, 371 (2007).
  21. Zhu, Q., Miecznikowski, J. C., Halfon, M. S. A wholly defined Agilent microarray spike-in dataset. Bioinformatics. 27 (9), 1284-1289 (2011).
  22. Vallee, M., Gravel, C., Palin, M. F., Reghenas, H., Stothard, P., Wishart, D. S., Sirard, M. A. Identification of novel and known oocyte-specific genes using complementary DNA subtraction and microarray analysis in three different species. Biol. Reprod. 73 (1), 63-71 (2005).
  23. Thomas, P. D., et al. PANTHER: a library of protein families and subfamilies indexed by function. Genome Res. 13 (9), 2129-2141 (2003).
  24. Mi, H., et al. The PANTHER database of protein families, subfamilies, functions and pathways. Nucleic Acids Res. 33, 284-288 (2005).
  25. Mi, H., Muruganujan, A., Casagrande, J. T., Thomas, P. D. Large-scale gene function analysis with the PANTHER classification system. Nat. Protoc. 8, 1551-1566 (2013).
  26. Ross, P. J., Wang, K., Kocabas, A., Cibelli, J. B. Housekeeping gene transcript abundance in bovine fertilized and cloned embryos. Cell Reprogram. 12 (6), 709-717 (2010).
  27. Gilbert, I., et al. The dynamics of gene products fluctuation during bovine pre-hatching development. Mol. Reprod. Dev. 76, 762-772 (2009).
  28. Vallee, M., et al. Revealing the bovine embryo transcript profiles during early in vivo embryonic development. Reproduction. 138 (1), 95-105 (2009).
  29. Dafforn, A., et al. Linear mRNA amplification from as little as 5 ng total RNA for global gene expression analysis. Biotechniques. 37 (5), 854-857 (2004).
  30. Beaujean, N., Jammes, H., Jouneau, A., Dufort, I., Rovert, C., Sirard, M. A. Nuclear Reprogramming. Studying Bovine Early Embryo Transcriptome by Microarray. , (2015).
  31. Patterson, T. A., et al. Performance comparison of one-color and two-color platforms within the MicroArray Quality Control (MAQC) project. Nat. Biotechnol. 24 (9), 1140-1150 (2006).
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Salehi, R., Tsoi, S. C., Colazo, M. G., Ambrose, D. J., Robert, C., Dyck, M. K. Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform. J. Vis. Exp. (119), e53754, doi:10.3791/53754 (2017).

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