Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

The impact of quantitative microarray optimization on gene expression analysis


ABSTRACT: Background: With the growing availability of entire genome sequences, an increasing number of scientists can exploit oligonucleotide microarrays for genome-scale expression studies. While probe-design is a major research area, relatively little work has been reported on the optimization of microarray protocols. Results: As shown in this study, suboptimal conditions can have considerable impact on biologically relevant observations. For example, deviation from the optimal temperature by one degree Celsius lead to a loss of 44% of differentially expressed genes identified. While genes from thousands of Gene Ontology categories were affected, transcription factors and other low-copy-number regulators were disproportionately lost. Calibrated protocols are thus required in order to take full ad

ORGANISM(S): Drosophila melanogaster

SUBMITTER: D Kreil 

PROVIDER: E-GEOD-25625 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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