17
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Performance comparison of one-color and two-color platforms within the MicroArray Quality Control (MAQC) project.

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Microarray-based expression profiling experiments typically use either a one-color or a two-color design to measure mRNA abundance. The validity of each approach has been amply demonstrated. Here we provide a simultaneous comparison of results from one- and two-color labeling designs, using two independent RNA samples from the Microarray Quality Control (MAQC) project, tested on each of three different microarray platforms. The data were evaluated in terms of reproducibility, specificity, sensitivity and accuracy to determine if the two approaches provide comparable results. For each of the three microarray platforms tested, the results show good agreement with high correlation coefficients and high concordance of differentially expressed gene lists within each platform. Cumulatively, these comparisons indicate that data quality is essentially equivalent between the one- and two-color approaches and strongly suggest that this variable need not be a primary factor in decisions regarding experimental microarray design.

          Related collections

          Author and article information

          Journal
          Nat Biotechnol
          Nature biotechnology
          Springer Science and Business Media LLC
          1087-0156
          1087-0156
          Sep 2006
          : 24
          : 9
          Affiliations
          [1 ] National Center for Toxicological Research, US Food & Drug Administration, 3900 NCTR Rd., Jefferson, Arkansas 72079, USA. tucker.patterson@fda.hhs.gov
          Article
          nbt1242
          10.1038/nbt1242
          16964228
          3699f9e4-7124-4814-84b6-e60734071f2a
          History

          Comments

          Comment on this article