期刊文献+

低密度cDNA芯片技术的优化 被引量:2

Optimization of Low-density cDNA Microarray
下载PDF
导出
摘要 为了建立稳定的低密度cDNA芯片技术平台,研究靶基因的最适长度、浓度、点样溶液种类及杂交反应动力学,并了解该芯片的重复性与可靠性.结果表明,杂交具有较好的特异性,不同长度(189~1078bp)、浓度(0.5g/L、1.0g/L、1.5g/L)的同一靶基因杂交信号强度无明显差别;以50%DMSO为点样溶液者杂交信号最好(P=0.0001).60℃杂交18h信号最佳(P<0.001).重复2次检测结果差异无显著性(P=0.348),重复性较好,其相关系数为0.588.与RT-PCR结果相比,相关系数为-0.778(P<0.0001),特异性为100%,灵敏度为80%(16/20),可靠性较好. In order to construct a stable low density cDNA microarray technique, housekeeping genes were selected to study the most suitable target gene length, concentration, spotting solution and hybridizing dynamics. All target genes' mRNA expression in the same cells (SGC7901) were detected by the identical cDNA microarrays and by RT PCR for reproducibility and reliability. The hybridization signals had a good specificity. No signal showed in either negative control (HBV) or blank control (spotting solution only). There was neither significant difference in target gene lengths (189~1 078 bp) nor concentration difference ( 0.5 g/L, 1.0 g/L and 1.5 g/L). Among the three kinds of spotting solution (3×SSC, 50%DMSO and 0.5 mol/L carbonate buffer (pH=9.0)), 50%DMSO was the best (P=0.000 1). The longer of hybridizing time, the stronger of signal intensity, 18 hours was the best and signal intensity decreased after 24 hours (P<0.001). With respect to the hybridizing temperature, 60 ℃was the strongest (P<0.001). The signal difference was not significant in two repeated examination (t= 0.941,P=0.348) , the correlation coefficient was 0.588. In comparison with RT PCR, the correlation coefficient was 0.778 (P<0.000 1) , specificity was 100%and sensitivity was 80%. The different target gene length between 200 bp and 1000 bp had got the same hybridization signals. 50%DMSO spotting solution and the target gene concentration at 0.5 g/L were suitable for good hybridization. To hybridize 18 hours at 60 ℃was the best condition of the low density cDNA microarray. The reproducibility and reliability was good. The specificity was superior to RT PCR and sensitivity inferior to it.
出处 《生命科学研究》 CAS CSCD 2004年第4期322-328,共7页 Life Science Research
基金 辽宁省自然科学基金"基因工程关键技术研究"资助项目(2001101001)
关键词 CDNA芯片 靶基因长度和浓度 点样溶液 杂交动力学 可靠性 cDNA microarray target gene length and concentration spotting solution hybridizing dynamics reliability
  • 相关文献

参考文献15

  • 1WILSON W J, STROUT C L, DESANTIS T Z, et al. Sequence-specific identification of 18 pathogenic microorganisms using microarray technology[J]. Mol Cell Probes, 2002, 16(2): 119-127.
  • 2WEN W H, BERNSTEIN L, LESCALLETT J, et al. Comparison of TP53 mutations identified by oligonucleotide microarray and conventional DNA sequence analysis[J]. Cancer Res, 2000, 60 (10): 2716-2722.
  • 3ZHOU Y, GWADRY F G, REINHOLD W C, et al. Transcriptional regulation of mitotic genes by camptothecin-induced DNA damage: microarray analysis of dose- and time-dependent effects[J]. Cancer Res, 2002, 62(6): 1688-1695.
  • 4XU J, STOLK J A, ZHANG X, et al. Identification of differentially expressed genes in human prostate cancer using subtraction and microarray [J]. Cancer Res, 2000, 60 (6):1677-1682.
  • 5van'tVEERLJ, DAIH, van de VIJVER M J, etal. Gene expression profiling predicts clinical outcome of breast cancer[J]. Nature, 2002,415(6871):530-536.
  • 6李子银,陈受宜.植物的功能基因组学研究进展[J].遗传,2000,22(1):57-60. 被引量:43
  • 7AMATSCHEK S, KOENIG U, AUER H, et al. Tissue-wide expression profiling using cDNA subtraction and microarrays to identify tumor-specific genes [J]. Cancer Res, 2004, 64 (3):844-856.
  • 8LI M, LIN Y M, HASEGAWA S, et al. Genes associated with liver metastasis of colon cancer, identified by genome-wide cDNA microarray[J]. Int J Oncol, 2004, 24(2): 305-312.
  • 9HASEGAWA S, FURUKAWA Y, LI M, et al. Genome-wide analysis of gene expression in intestinal-type gastric cancers using a complementary DNA microarray representing 23040genes[J]. Cancer Res, 2002, 62(23):7012-7017.
  • 10黄宝俊,赵雨杰,徐惠绵,何群,张玉魁,徐莹莹,马佳明.cDNA微阵列制作的优化[J].遗传,2003,25(5):591-595. 被引量:3

二级参考文献34

  • 1Shengqi Wang,Li Lin,Zhongbin Chen,Ruxian Lin,Suhong Chen,Wei Guan,Xiaohong Wang.Effect of antisense oligonucleotides targeting telomerase catalytic subunit on tumor cell proliferation in vitro[J].Chinese Science Bulletin,2002,47(12):993-997. 被引量:10
  • 2[1]Kern SE,Hruban RH,Hidalgo M,et al.An introduction to pancreatic adenocarcinoma genetics,pathology and therapy[J].Cancer Biol Ther,2002,1(6):607-613.
  • 3[2]Chomczynski P,Sacchi N.Single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction[J].Anal Biochem,1987,162(2):156-159.
  • 4[3]Griffin CA,Hruban RH,Moesberger LA,et al.Consistent chromosome abnormalities in adenocinoma of the pancreas[J].Cancer Res,1995,55(11):2394-2399.
  • 5[4]Jin G,Wang S,Hu XG,et al.Characterization of the tissue-specific expression of the S100P gene which encodes an EF-hand Ca2+-binding protein[J].Mol Biol Rep,2003,30(4):243-248.
  • 6[5]Mizumoto K,Tanaka M.Genetic diagnosis of pancreatic cancer[J].J Hepatobil Pancreat Surg,2002,9(1):39-44.
  • 7[6]Su LF,Knoblauch R,Garabedian MJ.Rho GTPases as modulators of the estrogen receptor transcriptional response[J].J Biol Chem,2001,276(5):3231-3237.
  • 8[7]Tamura M,Gu J,Tran H,et al.PTEN gene and integrin signaling in cancer[J].J Natl Cancer Inst,1999,91(21):1820-1824.
  • 9[8]Ellenrieder V,Hendler SF,Ruhland C,et al.TGF-beta-induced invasiveness of pancreatic cancer cells is mediated by matrix metalloproteinase-2 and the urokinase plasminogen activator system.[J].Int J Cancer,2001,93(2):204-211.
  • 10Chomczynski P, Sacchi N. Single-Step Method of RNA Isolation by Acid Guanidinium Thiocyanate-Phenol-Chloroform Extraction. Analytical Biochemistry, 1987,162 : 156 ~ 159.

共引文献55

同被引文献28

  • 1毛伟华,高其康.水稻大规模质粒测序影响因素分析[J].中国水稻科学,2004,18(5):420-424. 被引量:18
  • 2杨勇,蒋德安,孙骏威,黄宗安,金松恒.不同供镁水平对水稻叶片叶绿素荧光特性和能量耗散的影响[J].植物营养与肥料学报,2005,11(1):79-86. 被引量:51
  • 3萨姆布鲁克J 弗里奇E F 曼尼阿蒂斯T.金冬雁 黎孟枫 译.分子克隆实验指南[M].北京:科学出版社,2002.362—392.
  • 4Reymond.DNA microarray and plant defence.Plant Physiol Biochem.,2001,39:313~321
  • 5Tao W J,Mallard B,Karrow N,Bridle B.Construction and application of a bovine immune-endocrine cDNA microarray.Veterinary Immunology and Immunopathology,2004,101 (1-2):1~17
  • 6Matsumoto F,Obayashi T,Sasaki-Sekimoto Y,Ohta H,Takamiya K,Masuda T.Gene expression profiling of the tetrapyrrole metabolic pathway in Arabidopsis with a mini-array system.Plant Physiology,2004,135 (4):2379~2391
  • 7Rizhsky L,Liang H,Mittler R.The combined effect of drought stress and heat shock on gene expression in tobacco.Plant Physiology,2002,130:1143~1151
  • 8Stears R L.Trends in microarray analysis.Nature,2003,9 (1):140~145
  • 9Frick U B,Schaller A.cDNA microarray analysis of fusicoccin-induced changes in gene expression in tomato plants.Planta,2002,216 (1):83~94
  • 10Bar-Or C,Kapulnik Y,Koltai H.A broad characterization of the transcriptional profile of the compatible tomato response to the plant parasitic root knot nematode Meloidogyne javanica.European Journal of Plant Physiology,2005,111(2):181~192

引证文献2

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部