Rosenzweig Barry A, Pine P Scott, Domon Olen E, Morris Suzanne M, Chen James J, Sistare Frank D
Center for Drug Evaluation and Research, Division of Applied Pharmacology Research, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Life Sciences Building 64, Silver Spring, MD 20993, USA.
Environ Health Perspect. 2004 Mar;112(4):480-7. doi: 10.1289/ehp.6694.
A significant limitation to the analytical accuracy and precision of dual-labeled spotted cDNA microarrays is the signal error due to dye bias. Transcript-dependent dye bias may be due to gene-specific differences of incorporation of two distinctly different chemical dyes and the resultant differential hybridization efficiencies of these two chemically different targets for the same probe. Several approaches were used to assess and minimize the effects of dye bias on fluorescent hybridization signals and maximize the experimental design efficiency of a cell culture experiment. Dye bias was measured at the individual transcript level within each batch of simultaneously processed arrays by replicate dual-labeled split-control sample hybridizations and accounted for a significant component of fluorescent signal differences. This transcript-dependent dye bias alone could introduce unacceptably high numbers of both false-positive and false-negative signals. We found that within a given set of concurrently processed hybridizations, the bias is remarkably consistent and therefore measurable and correctable. The additional microarrays and reagents required for paired technical replicate dye-swap corrections commonly performed to control for dye bias could be costly to end users. Incorporating split-control microarrays within a set of concurrently processed hybridizations to specifically measure dye bias can eliminate the need for technical dye swap replicates and reduce microarray and reagent costs while maintaining experimental accuracy and technical precision. These data support a practical and more efficient experimental design to measure and mathematically correct for dye bias.
双标记斑点cDNA微阵列分析准确性和精密度的一个重大限制是由于染料偏差导致的信号误差。转录本依赖性染料偏差可能是由于两种截然不同的化学染料掺入的基因特异性差异,以及这两种化学性质不同的靶标对同一探针产生的不同杂交效率。采用了几种方法来评估并最小化染料偏差对荧光杂交信号的影响,并最大化细胞培养实验的实验设计效率。通过重复双标记的分割对照样品杂交,在每一批同时处理的阵列中的单个转录本水平上测量染料偏差,其占荧光信号差异的很大一部分。仅这种转录本依赖性染料偏差就可能引入数量高得令人无法接受的假阳性和假阴性信号。我们发现,在给定的一组同时处理的杂交中,偏差非常一致,因此是可测量和可校正的。为控制染料偏差而通常进行的配对技术重复染料交换校正所需的额外微阵列和试剂,对最终用户来说可能成本很高。在一组同时处理的杂交中纳入分割对照微阵列以专门测量染料偏差,可以消除对技术染料交换重复的需求,并降低微阵列和试剂成本,同时保持实验准确性和技术精度。这些数据支持一种实用且更高效的实验设计,用于测量染料偏差并进行数学校正。