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[【经验与求助】] DNA芯片的临床应用局限性

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发表于 2007-8-13 13:29:11 | 显示全部楼层 |阅读模式
把Microarray 技术应用于临床是科学家们梦寐以求的事,microarray技术发展了许多
年,要应用于临床,还有哪些障碍呢?需要解决的问题有哪些?有篇文章综合了这些问
题:一是可靠性,其二是可重复性。里面涉及的具体问题包括:取样以及样本处理;数
据挖掘;以及生物统计分析方法使用。


请见综述文章--DNA芯片的临床应用局限性


文中的局限性包括

1. 样品问题:芯片分析需要冷冻的肿瘤组织来确保RNA的质量;而大多数医院中肿瘤
样品都是直接用福尔马林固定然后用石蜡包埋的,使得RNA有降解。

2. 从mRNA提取开始到最终用microarray检测并确定表达有差异的基因过程的一步骤还
没有规范统一,technique variation比较大。
3. 对芯片结果统计分析的方法经常是overfit,只能针对特别的实验。
全文见:
http://www.myresearchspace.cn/bb ... p;page=2&extr!![/url]<font color=#ff0000>谢绝广告帖!再发封ID!</font>page%3D1#pid4253

Technology Insight: tuning into the genetic orchestra using microarrays—
limitations of DNA microarrays in clinical practice
Summary

Scientific advances in the field of genetics and gene-expression profiling
have revolutionized the concept of patient-tailored treatment. Analysis of
differential gene-expression patterns across thousands of biological samples
in a single experiment (as opposed to hundreds to thousands of experiments
measuring the expression of one gene at a time), and extrapolation of these
data to answer clinically pertinent questions such as those relating to
tumor metastatic potential, can help define the best therapeutic regimens
for particular patient subgroups. The use of microarrays provides a powerful
technology, allowing in-depth analysis of gene-expression profiles.
Currently, microarray technology is in a transition phase whereby scientific
information is beginning to guide clinical practice decisions. Before
microarrays qualify as a useful clinical tool, however, they must
demonstrate reliability and reproducibility. The high-throughput nature of
microarray experiments imposes numerous limitations, which apply to simple
issues such as sample acquisition and data mining, to more controversial
issues that relate to the methods of biostatistical analysis required to
analyze the enormous quantities of data obtained. Methods for validating
proposed gene-expression profiles and those for improving trial designs
represent some of the recommendations that have been suggested. This Review
focuses on the limitations of microarray analysis that are continuously
being recognized, and discusses how these limitations are being addressed.
http://www.nature.com/ncponc/journal/v3/n9/full/ncponc0587.html
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