Revisiting global gene expression analysis

Cell. 2012 Oct 26;151(3):476-82. doi: 10.1016/j.cell.2012.10.012.

Abstract

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Gene Expression Profiling / methods*
  • Genome-Wide Association Study
  • Humans
  • Oligonucleotide Array Sequence Analysis
  • Proto-Oncogene Proteins c-myc / genetics
  • Sequence Analysis, RNA
  • Transcription, Genetic

Substances

  • MYC protein, human
  • Proto-Oncogene Proteins c-myc

Associated data

  • GEO/GSE40784