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小鼠毒理基因芯片的设计和制作 被引量:8

The Design and Fabrication of Mouse Toxicology Gene Chip
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摘要 背景与目的设计并制作一种用于毒理学实验研究的小鼠毒理基因芯片。材料与方法根据环境与毒理学研究的要求,挑选各个生物学通路上的相关基因,采用美国NIA(National Institute on Aging)小鼠cDNA文库克隆扩增所挑选的基因片段,点样法制作芯片,荧光染色法抽样检验芯片质量。结果设计的小鼠毒理基因芯片含1796个基因,涉及8种生物学功能;PCR扩增的目的基因片段95.12%为完全合格;Picogreen荧光染色实验可用于检验芯片的点样质量。结论目的基因扩增和芯片制作基本成功,自行研制的毒理基因芯片为进一步用于毒理学相关研究创造了条件。 BACKGROUND & AIM: To design and fabricate a kind of mouse toxicology gene chip to be used in toxicology research. MATERIAL AND METHODS: Some genes related to different biological functions were chosen according to the requirement of environmental and toxicology research. NIA mouse cDNA clone sets were applied to copy and amplify the gene fragments which were dotted on the slide, and the Picogreen fluorescence staining was used to detect the quality of chip. RESULTS: We chose 1 796 genes involved in eight biological functions for the construction of the meuse toxicology gene chip. 95.12% of the PCR products had strong and single band, and the slides selected from each hatch had good images with Picogreen dye detection. CONCLUSION: We have designed and fabricate the mouse toxicology, gene chip successfully. This could be applied in toxicology-related research.
出处 《癌变.畸变.突变》 CAS CSCD 2006年第2期135-138,共4页 Carcinogenesis,Teratogenesis & Mutagenesis
基金 国家973课题分题(No.2002CB512901) 国家杰出青年基金资助项目(No.30125037) 国家自然科学基金资助项目(No.30271136 30200354)
关键词 基因芯片 毒理学 gene chip toxicology
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参考文献10

  • 1Orphanides G.Toxicogenomics:challenges and opportunities[J].Toxicol Lett,2003(2),140-141.145-148m
  • 2Chuaqui RF,Bonner RF,Best CJM,et al.Post-analysis follow-up and validation of microarray experiments[J].Nat Genet,2002,32 (2):509-514.
  • 3Shioda T.Application of DNA microarray to toxicological research[J].J Environ Pathol Toxicol Oncol,2004,23(1):13-31.
  • 4Draghici S,Khatri P,Bhavsar P,et al.Onto-Tools,the toolkit of the modern biologist:Onto-Express,Onto-Compare,Onto-Design and Onto-Translate[J].Nucleic Acids Res,2003,31(13):3 775-3 781.
  • 5Simmons PT,Portier CJ.Toxicogenomics:the new frontier in risk analysis[J].Carcinogenesis,2002,23(6):903-905.
  • 6Stears RL,Martinsky T,Schena M.Trends in microarray analysis[J].Nat Med,2003,1(9):140-145.
  • 7Winzeler EA,Schena M,Davis RW.Fluorescence-based expression monitoring using microarrays[J].Methods Enzymol,1999,306(2):3-18.
  • 8罗瑶,许宏,李瑶,韩志勇,裘敏燕,陈沁,刘三震,倪胜,谢毅,毛裕民.表达谱基因芯片的可靠性验证分析[J].Acta Genetica Sinica,2003,30(7):611-618. 被引量:11
  • 9Yue H,Eastman PS,Wang BB,et al.An evaluation of the performance of cDNA microarrays for detecting changes in global mRNA expression[J].Nucleic Acids Res,2001,29(8):E41-1.
  • 10Otto WR.Fluorimetric DNA assay of cell number[J].Methods Mol Biol,2005,289(4):251-262.

二级参考文献19

  • 1Chomczynski P, Sacchi N. Single-Step Method of RNA Isolation by Acid Guanidinium Thiocyanate-Phenol-Chloroform Extraction. Analytical Biochemistry, 1987,162 : 156 ~ 159.
  • 2Raha S, Merante F, Proteau G, Reed J K. Simultaneous isolation of total cellular RNA and DNA from tissue culture cells using phenol and lithium chloride. Genet Anal Tech Appl, 1990,7(7) :173 ~ 177.
  • 3Yang P,Otto C M,Sheehan F H.The effect of nornmalization in reducing variability in regional wall thickening.J Am Soc Echocardiogr,1997,10(3) :197 ~ 204.
  • 4Eisen M B, Spellman P T, Brown P O, Botstein D. Cluster Analysis and Display of Genome-Wide Expression Patterns. Proc Natl Acad Sci, 1998,95 : 14863 ~ 14868.
  • 5Li Y,Li Y L,Tang R,Xu H,Qiu M Y,Chen Q,Chen J X,Fu Z,Ying K,Xie Y, Mao Y. Discovery and analysis of hepatocellular carcinoma genes using cDNA microarrays. Cancer Res 0ncol,2002,128:369~379.
  • 6Kuruvilla F G,Park P J,Schreiber S L. Vector algebra in the analysis of genome-wide expression data. Genome Biol, 2002, 3: Research 0011.
  • 7Hsiao L L, Jensen R V, Yoshida T, Clark K E, Blumenstoek J E, Gullans S R. Correcting for signal saturation errors in the analysis of microarray data. Biotechniques ,2002,32(2) :330 ~ 332,334,336.
  • 8Kothapalli R, Yoder S J, Mane S, Loughran T P Jr. Microarray results:how accurate are they? BMC Bioinformatics,2002,3(1) :22.
  • 9Schena M, Shalon D, Davis R W, Brown P O. Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray.Science, 1995,270(20) :467 ~ 470.
  • 10Schena M,Shalon D,Heller R,Chai A,Brown P O,Davis R W.Parallel hunmn genome analysis: Microarray based expression monitoring of 1000 genes. PNAS, 1996,93 : 10614 ~ 10619.

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