Revisiting Global Gene Expression Analysis

Gene expression analysis is a widely used and powerful method for investigating the transcriptional behavior of biological systems, for classifying cell states in disease, and for many other purposes. Recent studies indicate that common assumptions currently embedded in experimental and analytical p...

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Published inCell Vol. 151; no. 3; pp. 476 - 482
Main Authors Lovén, Jakob, Orlando, David A., Sigova, Alla A., Lin, Charles Y., Rahl, Peter B., Burge, Christopher B., Levens, David L., Lee, Tong Ihn, Young, Richard A.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 26.10.2012
Subjects
data analysis
gene expression
Gene Expression Profiling - methods
Genome-Wide Association Study
Humans
Oligonucleotide Array Sequence Analysis
Proto-Oncogene Proteins c-myc - genetics
Sequence Analysis, RNA
transcription (genetics)
Transcription, Genetic
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Summary:Gene expression analysis is a widely used and powerful method for investigating the transcriptional behavior of biological systems, for classifying cell states in disease, and for many other purposes. Recent studies indicate that common assumptions currently embedded in experimental and analytical practices can lead to misinterpretation of global gene expression data. We discuss these assumptions and describe solutions that should minimize erroneous interpretation of gene expression data from multiple analysis platforms.
Bibliography:http://dx.doi.org/10.1016/j.cell.2012.10.012
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These corresponding authors contributed equally
These authors contributed equally
ISSN:0092-8674
1097-4172
DOI:10.1016/j.cell.2012.10.012