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本文引用的文献

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Variance stabilization applied to microarray data calibration and to the quantification of differential expression.方差稳定化应用于微阵列数据校准和差异表达定量分析。
Bioinformatics. 2002;18 Suppl 1:S96-104. doi: 10.1093/bioinformatics/18.suppl_1.s96.
2
Measuring absolute expression with microarrays with a calibrated reference sample and an extended signal intensity range.使用校准参考样本和扩展信号强度范围的微阵列测量绝对表达。
Proc Natl Acad Sci U S A. 2002 May 28;99(11):7554-9. doi: 10.1073/pnas.112683499.
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Promoter-specific regulation of MyoD binding and signal transduction cooperate to pattern gene expression.肌细胞生成素(MyoD)结合的启动子特异性调控与信号转导协同作用,以调控基因表达模式。
Mol Cell. 2002 Mar;9(3):587-600. doi: 10.1016/s1097-2765(02)00481-1.
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Gene expression profiling predicts clinical outcome of breast cancer.基因表达谱分析可预测乳腺癌的临床预后。
Nature. 2002 Jan 31;415(6871):530-6. doi: 10.1038/415530a.
5
Comparison of gene expression in CD34+ cells from bone marrow and G-CSF-mobilized peripheral blood by high-density oligonucleotide array analysis.通过高密度寡核苷酸阵列分析比较骨髓来源和粒细胞集落刺激因子动员的外周血中CD34+细胞的基因表达。
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Preparation and screening of high-density cDNA arrays with genomic clones.利用基因组克隆制备和筛选高密度cDNA阵列
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7
Issues in cDNA microarray analysis: quality filtering, channel normalization, models of variations and assessment of gene effects.cDNA微阵列分析中的问题:质量过滤、通道归一化、变异模型及基因效应评估。
Nucleic Acids Res. 2001 Jun 15;29(12):2549-57. doi: 10.1093/nar/29.12.2549.
8
Missing value estimation methods for DNA microarrays.DNA微阵列的缺失值估计方法。
Bioinformatics. 2001 Jun;17(6):520-5. doi: 10.1093/bioinformatics/17.6.520.
9
An evaluation of the performance of cDNA microarrays for detecting changes in global mRNA expression.用于检测整体mRNA表达变化的cDNA微阵列性能评估。
Nucleic Acids Res. 2001 Apr 15;29(8):E41-1. doi: 10.1093/nar/29.8.e41.
10
The lymphochip: a specialized cDNA microarray for the genomic-scale analysis of gene expression in normal and malignant lymphocytes.淋巴芯片:一种用于正常和恶性淋巴细胞基因表达基因组规模分析的专用cDNA微阵列。
Cold Spring Harb Symp Quant Biol. 1999;64:71-8. doi: 10.1101/sqb.1999.64.71.

cDNA微阵列杂交的常用参考物。

A common reference for cDNA microarray hybridizations.

作者信息

Sterrenburg Ellen, Turk Rolf, Boer Judith M, van Ommen Gertjan B, den Dunnen Johan T

机构信息

Center for Human and Clinical Genetics, Leiden University Medical Center, Wassenaarseweg 72, 2333AL Leiden, Nederland.

出版信息

Nucleic Acids Res. 2002 Nov 1;30(21):e116. doi: 10.1093/nar/gnf115.

DOI:10.1093/nar/gnf115
PMID:12409475
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC135839/
Abstract

Comparisons of expression levels across different cDNA microarray experiments are easier when a common reference is co-hybridized to every microarray. Often this reference consists of one experimental control sample, a pool of cell lines or a mix of all samples to be analyzed. We have developed an alternative common reference consisting of a mix of the products that are spotted on the array. Pooling part of the cDNA PCR products before they are printed and their subsequent amplification towards either sense or antisense cRNA provides an excellent common reference. Our results show that this reference yields a reproducible hybridization signal in 99.5% of the cDNA probes spotted on the array. Accordingly, a ratio can be calculated for every spot, and expression levels across different hybridizations can be compared. In dye-swap experiments this reference shows no significant ratio differences, with 95% of the spots within an interval of +/-0.2-fold change. The described method can be used in hybridizations with both amplified and non-amplified targets, is time saving and provides a constant batch of common reference that lasts for thousands of hybridizations.

摘要

当一个共同的参照样本与每块微阵列共同杂交时,不同cDNA微阵列实验间的表达水平比较会更容易。通常这个参照样本由一个实验对照样本、一组细胞系或所有待分析样本的混合物组成。我们开发了一种替代的共同参照样本,它由点样在阵列上的产物混合物组成。在cDNA PCR产物打印之前将其部分混合,并随后向正义或反义cRNA进行扩增,可提供一个出色的共同参照样本。我们的结果表明,该参照样本在阵列上99.5%的cDNA探针中产生了可重复的杂交信号。因此,可以为每个点计算一个比率,并比较不同杂交间的表达水平。在染料交换实验中,该参照样本未显示出显著的比率差异,95%的点在+/-0.2倍变化的区间内。所描述的方法可用于扩增和未扩增靶标的杂交,节省时间,并提供一批持续数千次杂交的恒定共同参照样本。