Options available for profiling small samples: a review of sample amplification technology when combined with microarray profiling.
Options available for profiling small samples: a review of sample amplification technology when combined with microarray profiling.
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DOI：
10.1093/nar/gkj499
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发表时间：
2006
影响因子：
14.9
通讯作者：
Hovig E
中科院分区：
文献类型：
--
作者：
Nygaard V;Hovig E
在有限的材料上进行微阵列分析的可能性已经在一些出版物中得到证明。在这篇综述中，我们接近mRNA扩增的技术方面和几个重要的隐含后果，对于线性和指数程序。扩增效率显然允许分析极小的样品。转录本丰度的保存是使用样品扩增与微阵列分析相结合的最重要的问题，这方面通常被认为是可以接受的，尽管在高度稀释的样品中证明会减少。微阵列谱的可变性和差异随着微小样本量的增加而增加，这一事实已被清楚地记录下来，但对于许多研究而言，这似乎确实影响了生物学结论。我们认为，这是由于所采用的数据分析方法，其后果是呈现误导性结果的机会。我们讨论放大灵敏度限制的问题，在报告的保真度，已发表的数据从审查的文章和数据分析方法。这些都是未来研究设计中需要考虑的重要因素，在评估基于极低输入RNA量的已发表微阵列研究的生物学结论时也需要考虑。
The possibility of performing microarray analysis on limited material has been demonstrated in a number of publications. In this review we approach the technical aspects of mRNA amplification and several important implicit consequences, for both linear and exponential procedures. Amplification efficiencies clearly allow profiling of extremely small samples. The conservation of transcript abundance is the most important issue regarding the use of sample amplification in combination with microarray analysis, and this aspect has generally been found to be acceptable, although demonstrated to decrease in highly diluted samples. The fact that variability and discrepancies in microarray profiles increase with minute sample sizes has been clearly documented, but for many studies this does appear to have affected the biological conclusions. We suggest that this is due to the data analysis approach applied, and the consequence is the chance of presenting misleading results. We discuss the issue of amplification sensitivity limits in the light of reports on fidelity, published data from reviewed articles and data analysis approaches. These are important considerations to be reflected in the design of future studies and when evaluating biological conclusions from published microarray studies based on extremely low input RNA quantities.
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影响因子：
14.9
作者：
Baugh, L. R.;Hill, A. A.;Hunter, Craig P.
通讯作者：
Hunter, Craig P.
影响因子：
3.8
作者：
Goley EM;Anderson SJ;Ménard C;Chuang E;Lü X;Tofilon PJ;Camphausen K
通讯作者：
Camphausen K
影响因子：
4.4
作者：
Barker CS;Griffin C;Dolganov GM;Hanspers K;Yang JY;Erle DJ
通讯作者：
Erle DJ
DOI：
10.1016/j.jtcvs.2003.11.060
发表时间：
2004-05-01
影响因子：
6
作者：
Hoang, CD;D'Cunha, J;Maddaus, MA
通讯作者：
Maddaus, MA
影响因子：
4.4
作者：
Hu, LM;Wang, J;Zhang, W
通讯作者：
Zhang, W