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用于cDNA微阵列分析的基于T7的RNA线性扩增方案的优化与评估

Optimization and evaluation of T7 based RNA linear amplification protocols for cDNA microarray analysis.

作者信息

Zhao Hongjuan, Hastie Trevor, Whitfield Michael L, Børresen-Dale Anne-Lise, Jeffrey Stefanie S

机构信息

Department of Surgery, Medical School Lab-Surge Bldg P214, Stanford University, Stanford, CA 94305-5494, USA.

出版信息

BMC Genomics. 2002 Oct 30;3(1):31. doi: 10.1186/1471-2164-3-31.

Abstract

BACKGROUND

T7 based linear amplification of RNA is used to obtain sufficient antisense RNA for microarray expression profiling. We optimized and systematically evaluated the fidelity and reproducibility of different amplification protocols using total RNA obtained from primary human breast carcinomas and high-density cDNA microarrays.

RESULTS

Using an optimized protocol, the average correlation coefficient of gene expression of 11,123 cDNA clones between amplified and unamplified samples is 0.82 (0.85 when a virtual array was created using repeatedly amplified samples to minimize experimental variation). Less than 4% of genes show changes in expression level by 2-fold or greater after amplification compared to unamplified samples. Most changes due to amplification are not systematic both within one tumor sample and between different tumors. Amplification appears to dampen the variation of gene expression for some genes when compared to unamplified poly(A)+ RNA. The reproducibility between repeatedly amplified samples is 0.97 when performed on the same day, but drops to 0.90 when performed weeks apart. The fidelity and reproducibility of amplification is not affected by decreasing the amount of input total RNA in the 0.3-3 micrograms range. Adding template-switching primer, DNA ligase, or column purification of double-stranded cDNA does not improve the fidelity of amplification. The correlation coefficient between amplified and unamplified samples is higher when total RNA is used as template for both experimental and reference RNA amplification.

CONCLUSION

T7 based linear amplification reproducibly generates amplified RNA that closely approximates original sample for gene expression profiling using cDNA microarrays.

摘要

背景

基于T7的RNA线性扩增用于获取足够的反义RNA以进行微阵列表达谱分析。我们使用从原发性人类乳腺癌中获得的总RNA和高密度cDNA微阵列,对不同扩增方案的保真度和可重复性进行了优化和系统评估。

结果

使用优化方案,扩增样本与未扩增样本之间11,123个cDNA克隆的基因表达平均相关系数为0.82(当使用重复扩增样本创建虚拟阵列以最小化实验变异时为0.85)。与未扩增样本相比,扩增后不到4%的基因表达水平变化2倍或更大。在一个肿瘤样本内和不同肿瘤之间,大多数扩增引起的变化都不是系统性的。与未扩增的聚腺苷酸加尾RNA相比,扩增似乎会抑制某些基因的基因表达变异。同一天进行的重复扩增样本之间的可重复性为0.97,但相隔数周进行时降至0.90。在0.3至3微克范围内减少输入总RNA的量不会影响扩增的保真度和可重复性。添加模板转换引物、DNA连接酶或双链cDNA的柱纯化不会提高扩增的保真度。当总RNA用作实验和参考RNA扩增的模板时,扩增样本与未扩增样本之间的相关系数更高。

结论

基于T7的线性扩增可重复地产生扩增RNA,其与原始样本非常接近,可用于使用cDNA微阵列进行基因表达谱分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a603/137577/53fe6449004b/1471-2164-3-31-1.jpg

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